Centre for Brain-Computing Research (CBCR)

Centre for Brain-Computing Research (CBCR)Centre for Brain-Computing Research (CBCR)Centre for Brain-Computing Research (CBCR)
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Centre for Brain-Computing Research (CBCR)

Centre for Brain-Computing Research (CBCR)Centre for Brain-Computing Research (CBCR)Centre for Brain-Computing Research (CBCR)
  • Home
  • Research
  • Team
  • Publications
  • Patents
  • Updates
  • Vacancies

Publications

  1. Fenqi Rong, Banghua Yang, Cuntai Guan, “Decoding Multi-Class Motor Imagery from Unilateral Limbs Using EEG Signals,” IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Sep 2024, 32, pp 3399-3409. ViewPDF 
  2. Bradley J. Edelman, Shuailei Zhang, Gerwin Schalk,Peter Brunner, Gernot Müller-Putz, Cuntai Guan, and Bin He, "Non-invasive Brain-Computer Interfaces: State of the Art and Trends," IEEE Reviews in Biomedical Engineering (R-BME), Aug 2024, DOI: 10.1109/RBME.2024.3449790. ViewPDF
  3. Shurui Li, Ian Daly, Cuntai Guan, Andrzej Cichocki, Jing Jin, “Inter-participant Transfer Learning with Attention based Domain Adversarial Training for P300 Detection,” Neural Networks, Aug 2024, 106655. Link
  4. Yi Ding, Neethu Robinson, Chengxuan Tong, Qiuhao Zeng, Cuntai Guan, “LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Jul 2024, 35(7), 9773-9786. ViewPDF
  5. Yi Ding, Su Zhang, Chuangao Tang, Cuntai Guan, “MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition," IEEE Journal of Biomedical and Health Informatics (J-BHI), Jul 2024, 28 (7), pp 3953-3964. ViewPDF
  6. Hannah S Pulferer, Cuntai Guan, and Gernot R Müller-Putz, “Investigating Multilevel Cognitive Processing within Error-free and Error-prone Feedback Conditions in Executed and Observed Car Driving,” Frontiers Human Neuroscience, Jun 2024, DOI: 10.3389/fnhum.2024.1383956. ViewPDF
  7. Hao Sun, Yi Ding, Jianzhu Bao, Ke Qin, Chengxuan Tong, Jing Jin, Cuntai Guan, “Leveraging Temporal Dependency for Cross-subject-MI BCIs by Contrastive Learning and Self-attention,” Neural Networks, June 2024, DOI: 10.1016/j.neunet.2024.106470. Link
  8. Huazhang Guo, Yuhao Lu, Zhendong Lei, Hong Bao, Mingwan Zhang, Zeming Wang, Cuntai Guani, Bijun Tang, Zheng Liu, Liang Wang, “Machine learning-guided realization of full-color high-quantum-yield carbon quantum dots,” Nature Communications, June 2024,15:4843, DOI: 10.1038/s41467-024-49172-6. ViewPDF
  9. Gerwin Schalk, Peter Brunner, Brendan Z. Allison, Surjo R. Soekadar, Cuntai Guan, Tim Denison, Jörn Rickert, Kai J. Miller, “Translation of Neurotechnologies,” Nature Reviews Bioengineering, 31 May 2024, DOI: 10.1038/s44222-024-00185-2. Link
  10. Chengxuan Tong, Yi Ding, Zhuo Zhang, Haihong Zhang, Kevin JunLiang Lim, and Cuntai Guan, “TASA: Temporal Attention with Spatial Autoencoder Network for Odor-induced Emotion Classification Using EEG,” IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), May 2024, DOI: 10.1109/TNSRE.2024.3399326. ViewPDF
  11. Wei Zhang, Muyun Jiang, Kok Ann Colin Teo, Raghavan Bhuvanakantham, LaiGuan Fong, Wei Khang Jeremy Sim, Zhiwei Guo, Chuan Huat Vince Foo, Rong Hui Jonathan Chua, Parasuraman Padmanabhan, Victoria Leong, Jia Lu, Balázs Gulyás, Cuntai Guan, “Revealing the Spatiotemporal Brain Dynamics of Covert Speech compared with Overt Speech: A Simultaneous EEG-fMRI Study,” NeuroImage, April 2024, DOI: 10.1016/j.neuroimage.2024.120629. ViewPDF 
  12. Shangen Zhang, Hongyan Cui, Yong Li, Xiaogang Chen, Xiaorong Gao, Cuntai Guan, “Improving SSVEP-BCI performance through repetitive anodal tDCS-based neuromodulation: insights from fractal EEG and brain functional connectivity,” IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), April 2024, DOI: 10.1109/TNSRE.2024.3389051. ViewPDF
  13. Zhiya Wang, Xue Pan, Zhen Mei, Zhifei Xu, Yudan Lv, Yuan Zhang, Cuntai Guan, "ECGAN-Assisted ResT-Net Based on Fuzziness for OSA Detection," IEEE Transactions on Biomedical Engineering (TBME), April 2024, DOI: 10.1109/TBME.2024.3378508. ViewPDF
  14. Mengru Xu, Zhao Feng, Sujie Wang, Hui Gao, Jiaye Cai, Biwen Wu, Huaying Cai, Yi Sun, Cuntai Guan, "Machine learning technique reveals intrinsic EEG connectivity characteristics of patients with mild stroke during cognitive task performing," IEEE Transactions on Cognitive and Developmental Systems, Feb 2024, 16(1), pp 232-242. ViewPDF
  15. Han Wei Ng, Cuntai Guan, “Subject-Independent Meta-Learning Framework Towards Optimal Training of EEG-based Classifiers,” Neural Networks, Jan 2024, DOI: 10.1016/j.neunet.2024.106108. ViewPDF
  16. Rui Liu, Pengwei Xing, Zichao Deng, Anran Li, Cuntai Guan, Han Yu, "Federated Graph Neural Networks: Overview, Techniques and Challenges," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Jan 2024, DOI: 10.1109/TNNLS.2024.3360429. ViewPDF
  17. Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan, “Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning”, Neural Networks, Jan 2024, DOI: 10.1016/j.neunet.2024.106100. ViewPDF
  18. Aarthy Nagarajan, Neethu Robinson, Kai Keng Ang, Karen Sui Geok Chua, Effie Chew, and Cuntai Guan, “Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface”, Journal of Neural Engineering (JNE), Jan 2024, DOI: 10.1088/1741-2552/ad152f. ViewPDF
  19. Ce Ju, Cuntai Guan, "Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Dec 2023, 34 (12), 10955 - 10969. ViewPDF
  20. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan, “Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Dec 2023, 45(12), 15604 - 15618. ViewPDF
  21. Han Wei Ng and Cuntai Guan, “Deep Unsupervised Representation Learning for Feature-Informed EEG Domain Extraction”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Nov 2023, DOI: 10.1109/TNSRE.2023.3339179. ViewPDF
  22. Rosary Yuting Lim, Kai Keng Ang, Effie Chew, and Cuntai Guan, “Motor imagery with transcranial alternating current stimulation in a holistic approach towards patient rehabilitation: on bridging motor and cognitive welfare”, Brain Sciences, Nov 2023, 13(11), 1584, pp1-19. ViewPDF
  23. Erico Tjoa, Hong Jing Khok, Tushar Chouhan, Cuntai Guan, “Enhancing the Confidence of Deep Learning Classifiers via Interpretable Saliency Maps”, Neurocomputing, October 2023, 126825, DOI: 10.1016/j.neucom.2023.126825. ViewPDF
  24. Zhao Feng, Sujie Wang, Linze Qian, Mengru Xu, Kuijun Wu, Ioannis Kakkos, Cuntai Guan, Yu Sun, “μ-STAR: A novel framework for spatio-temporal M/EEG source imaging optimized by microstates”, NeuroImage, Sep 2023, 120372, DOI: 10.1016/j.neuroimage.2023.120372. ViewPDF
  25. Ce Ju and Cuntai Guan, “Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), September 2023, DOI: 10.1109/TNNLS.2023.3307470. ViewPDF
  26. Mohamed Elgendi, Wenshan Wu, Cuntai Guan, Carlo Menon, “Revolutionizing Smartphone Gyrocardiography for Heart Rate Monitoring”, Frontiers in Cardiovascular Medicine, Aug 2023, DOI: 10.3389/fcvm.2023.1237043. ViewPDF
  27. Yi Ding, Neethu Robinson, Qiuhao Zeng and Cuntai Guan, “TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition”, IEEE Transactions on Affective Computing, July-Sept 2023, 14 (3), pp 2238 - 2250. ViewPDF
  28. Tao Xu, Hongtao Wang, Guanyong Lu, Feng Wan, Mengqi Deng, Peng Qi, Anastasios Bezerianos, Cuntai Guan, Yu Sun, "E-Key: an EEG-Based Biometric Authentication and Driving Fatigue Detection System," IEEE Transactions on Affective Computing (TAFFC), Dec 2021, May 2023, 14 (2), pp 864-877. ViewPDF
  29. Jianbo Chen, Yangsong Zhang, Yudong Pan, Peng Xu, Cuntai Guan, “A transformer-based deep neural network model for SSVEP classification,” Neural Networks, May 2023, DOI: 10.1016/j.neunet.2023.04.045. ViewPDF
  30. Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou, “LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation”, IEEE Transactions on Medical Imaging (TMI), Mar 2023, 42 (3), pp 633-646. ViewPDF
  31. Chuanhao Zhang, Emil Jovanov, Hongen Liao, Yuan-Ting Zhang, Benny Lo, Yuan Zhang, Cuntai Guan, “Video Based Cocktail Causal Container for Blood Pressure Classification and Blood Glucose Prediction”, IEEE Journal of Biomedical and Health Informatics (J-BHI), Feb 2023, 27(2), pp1118-1128. 
  32. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan, “ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training”, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), Feb 2023, 7(1), pp 210-221. ViewPDF
  33. Erico Tjao and Cuntai Guan, “Self Reward Design with Fine-grained Interpretability”, Scientific Reports, Jan 2023, 13, 1638. DOI: 10.1038/s41598-023-28804-9. ViewPDF
  34. Choon Guan Lim, Chui Pin Soh, Shernice Shi Yun Lim, Daniel Shuen Sheng Fung, Cuntai Guan, Tih Shih Lee, “Home-based brain-computer interface attention training program for Attention Deficit Hyperactivity Disorder: A feasibility trial”, Child and Adolescent Psychiatry and Mental Health, Jan 2023, 17 (15). DOI: 10.1186/s13034-022-00539-x. ViewPDF
  35. Aarthy Nagarajan, Neethu Robinson, Cuntai Guan, “Relevance based Channel Selection in Motor Imagery Brain-Computer Interface”, Journal of Neural Engineering (JNE), Jan 2023, 20, 016024, DOI: 10.1088/1741-2552/acae07. ViewPDF
  36. Tushar Chouhan, Melissa Black, Sonya Girdler, Sven Bölte, Tele Tan, and Cuntai Guan, “Altered Task Induced Functional Brain Networks and Small-World Properties in Autism”, Frontiers in Psychiatry,Jan 2023, DOI: 10.3389/fpsyt.2022.1039820. ViewPDF
  37. Weijie Fei, Luzheng Bi, Jiarong Wang, Shengchao Xia, and Cuntai Guan, “Effects of Cognitive Distraction on Upper Limb Movement Decoding from EEG Signals”, IEEE Transactions on Biomedical Engineering (TBME), Jan 2023, 70 (1), pp 166-174. ViewPDF
  38. Amrest Chinkamol, Vetit Kanjaras, Phattarapong Sawangjai, Yitian Zhao, Thapanun Sudhawiyangkul, Chantana Chantrapornchai, Cuntai Guan and Theerawit Wilaiprasitporn, “OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation”, IEEE Transactions on Biomedical Engineering (TBME), Dec 2022, DOI: 10.1109/TBME.2022.3232102. ViewPDF
  39. Ke Liu, Qin Lai, Peiyang Li, Zhuliang Yu, Bin Xiao, Cuntai Guan, Wei Wu, “Robust Bayesian Estimation of EEG-Based Brain Causality Networks”, IEEE Transactions on Biomedical Engineering (TBME), Dec 2022, DOI: 10.1109/TBME.2022.3231627. ViewPDF
  40. Erico Tjoa and Cuntai Guan, “Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset”, IEEE Transactions on Artificial Intelligence (TAI), Dec 2022, DOI: 10.1109/TAI.2022.3228834. ViewPDF 
  41. Zeng Zeng, Wei Zhao, Peisheng Qian, Yingjie Zhou, Ziyuan Zhao, Cen Chen and Cuntai Guan, “Robust Traffic Prediction from Spatial–Temporal Data Based on Conditional Distribution Learning,” IEEE Transactions on Cybernetics (TCYB), Dec 2022, 52 (12), pp 13458-13471. ViewPDF  
  42. Shuailei Zhang, Kai Keng Ang, Dezhi Zheng, Qianxin Hui, Xinlei Chen, Yang Li, Ning Tang, Effie Chew, Rosary Yuting Lim and Cuntai Guan, “Learning EEG Representations with Weighted Convolutional Siamese Network: A Large Multi-Session Post-Stroke Rehabilitation Study”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Oct 2022, 30, pp 2824-2833. ViewPDF
  43. Rajan Kashyap, Sagarika Bhattacharjee, Rose D Bharath, Ganesan Venkatasubramanian, Kaviraja Udupa, Shahid Bashir, Kenichi Oishi, John E Desmond, SH Annabel Chen, Cuntai Guan, “Variation of Cerebrospinal Fluid in Specific Regions Regulates Focality in Transcranial Direct Current Stimulation”, Frontiers in Human Neuroscience, Aug 2022, DOI:10.3389/fnhum.2022.952602. ViewPDF
  44. Ji-Seon Bang, Min-Ho Lee, Siamac Fazli, Cuntai Guan, Seong-Whan Lee, “Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Jul 2022, 33 (7), pp 3038-3049. ViewPDF
  45. Sirui Zhao, Huaying Tang, Yangsong Zhang, Shifeng Liu, Hanqing Tao, Tong Xu, Enhong Chen, and Cuntai Guan, “ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition”, Neural Networks, June 2022, DOI: 10.1016/J.NEUNET.2022.06.024. ViewPDF
  46. Su Zhang, Chuangao Tang, Cuntai Guan, “Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition”, Pattern Recognition, June 2022, 108833, DOI: 10.1016/j.patcog.2022.108833. ViewPDF
  47. Phairot Autthasan , Rattanaphon Chaisaen , Thapanun Sudhawiyangkul , Phurin Rangpong, Suktipol Kiatthaveephong, Nat Dilokthanakul, Gun Bhakdisongkhram, Huy Phan , Cuntai Guan and Theerawit Wilaiprasitporn, “MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification”, IEEE Transactions on Biomedical Engineering (TBME), 69 (6), June 2022, pp 2105 - 2118. ViewPDF
  48. Yusong Zhou, Banghua Yang, Cuntai Guan, “Task-Related Component Analysis Combining Paired Character Decoding for Miniature Asymmetric Visual Evoked Potentials”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), May 2022, DOI: 10.1109/TNSRE.2022.3175307. ViewPDF
  49. Zhao Feng, Yi Sun, Linze Qian, Yu Qi, Yueming Wang, Cuntai Guan, Yu Sun, “Design a novel BCI for neurorehabilitation using concurrent LFP and EEG features: a case study”, IEEE Transactions on Biomedical Engineering (TBME), May 2022, 69 (5), pp 1554-1563. ViewPDF
  50. Duo Chen, Haihong Zhang, Perumpadappil Thomas Kavitha, Fong Ling Loy, Soon Huat Ng, Chuanchu Wang, Kok Soon Phua, Soon Yin Tjan, Su-Yin Yang, and Cuntai Guan, “Scalp EEG-based Pain Detection using Convolutional Neural Network”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Feb 2022, 30, pp 274-285. ViewPDF
  51. Yangsong Zhang, Huan Cai, Li Nie, Peng Xu, Sirui Zhao, Cuntai Guan, “An end-to-end 3D convolutional neural network for decoding attentive mental state,” Neural Networks, Dec 2021, 144, pp 129–137. ViewPDF
  52. Sze-Hui Jane Teo, Xue Wei Wendy Poh, Tih Shih Lee, Cuntai Guan, Yin Bun Cheung, Daniel Shuen Sheng Fung, Hai Hong Zhang, Zheng Yang Chin, Chuan Chu Wang, Min Sung, Tze Jui Goh, Shih Jen Weng, Xin Jie Jordon Tng, Choon Guan Lim, “Brain-computer interface based attention and social cognition training programme for children with ASD and co-occurring ADHD: A feasibility trial,” Research in Autism Spectrum Disorders, Nov 2021, 89:101882. ViewPDF
  53. Erico Tjoa, Cuntai Guan, “A Survey on Explainable Artificial Intelligence (XAI): towards Medical XAI,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Nov 2021, 32 (11), pp 4793 - 4813. ViewPDF
  54. Neethu Robinson, Ravikiran Mane, Tushar Chouhan, Cuntai Guan, “Emerging Trends in BCI-Robotics for Motor Control and Rehabilitation”, Current Opinion in Biomedical Engineering (COBE), Oct 2021, 20:100354. ViewPDF
  55. Manzhang Xu, Bijun Tang, Yuhao Lu, Qianbo Lu, Chao Zhu, Lu Zheng, Jingyu Zhang, Nannan Han, Weidong Fang, Yuxi Guo, Jun Di, Pin Song, Yongmin He, Lixing Kang, Zhiyong Zhang, Wu Zhao, Cuntai Guan, Xuewen Wang, Zheng Liu, “Machine Learning Driven Synthesis of Few-Layered WTe2 with Geometrical Control”, Journal of the American Chemical Society, Oct 2021, 143 (43), pp 18103–18113.
  56. Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan, “DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation,” IEEE Journal of Biomedical and Health Informatics (J-BHI), Oct 2021, 25 (10), pp 3744-3751. ViewPDF
  57. Ke Liu, Zhu Liang Yu, Wei Wu, Xun Chen, Zhenghui Gu, Cuntai Guan“fMRI-SI-STBF: An fMRI-Informed Bayesian Electromagnetic Spatio-Temporal Extended Source Imaging”, Neurocomputing, Oct 2021, vol 462, pp 14-30. ViewPDF
  58. Rajan Kashyap, Sagarika Bhattacharjee, Ramaswamy Arumugam, Rose Dawn Bharath, Kaviraja Udupa, Kenichi Oishi, John E. Desmond, S.H. Annabel Chen, Cuntai Guan “Focality Oriented Selection of Current Dose for Transcranial Direct Current Stimulation”, Journal of Personalized Medicine, Sept 2021, 11 (940), pp 1-14. ViewPDF
  59. Bohan Yu, Yuxiang Wang, Kai Niu, Youwei Zeng, Tao Gu, Leye Wang, Cuntai Guan, and Daqing Zhang, “WiFi-Sleep: Sleep Stage Monitoring Using Commodity Wi-Fi Devices”, IEEE Internet of Things Journal (IoT-J), Sep 2021, 8 (18), pp 13900-13913. ViewPDF
  60. Fatemeh Fahimi, Strahinja Dosen, Kai Keng Ang, Natalie Mrachacz-Kersting, and Cuntai Guan, “Generative Adversarial Networks-based Data Augmentation for Brain-Computer Interface”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Sep 2021, 32 (9), pp 4039-4051. ViewPDF
  61. Mengjiao Hu, Hsiao-Ju Cheng, Fang Ji, Joanna Su Xian Chong, Zhongkang Lu, Weimin Huang, Kai Keng Ang, Kok Soon Phua, Kai-Hsiang Chuang, Xudong Jiang, Cuntai Guan, Effie Chew, Juan Helen Zhou, “Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study”, Frontiers in Human Neuroscience, Jun 2021, DOI: 10.3389/fnhum.2021.692304. ViewPDF
  62. Mengjiao Hu, Xing Qian, Siwei Liu, Amelia Koh Jialing, Kang Sim, Xudong Jiang, Cuntai Guan, Juan Helen Zhou, “Structural and diffusion MRI based schizophrenia classification using 2D pretrained and 3D naive Convolutional Neural Networks”, Schizophrenia Research, June 2021, DOI: 10.1016/j.schres.2021.06.011. ViewPDF
  63. Jiarong Wang, Luzheng Bi, Weijie Fei, and Cuntai Guan, “Decoding Single-Hand and Both-Hand Movement Directions from Noninvasive Neural Signals”, IEEE Transactions on Biomedical Engineering (TBME), June 2021, 68(6), pp 1932-1940. ViewPDF
  64. Neethu Robinson, Tushar Chouhan, Ernest Mihelj, Paulina Kratka, Frederic Debraine, Nicole Wenderoth, Cuntai Guan, Rea Lehner, “Design considerations for long term non-invasive Brain Computer Interface training with tetraplegic CYBATHLON pilot”, Frontiers in Human Neuroscience, May 2021, DOI: 10.3389/fnhum.2021.648275. ViewPDF
  65. Olivier Lambercy, Rea Lehner, Karen Sui Geok Chua, Seng Kwee Wee, Deshan Kumar Rajeswaran, Christopher Wee Keong Kuah, Wei Tech Ang, Phyllis Liang, Domenico Campolo, Asif Hussain, Gabriel Aguirre-Ollinger, Cuntai Guan, Christoph M. Kanzler, Nicole Wenderoth, Roger Gassert, “Neurorehabilitation from a distance: can intelligent technology support decentralized access to quality therapy?” Frontiers in Robotics and AI, May 2021, DOI: 10.3389/frobt.2021.612415. ViewPDF
  66. Emadeldeen Eldele, Zhenghua Chen, Chengyu Liu, Min Wu, Chee-Keong Kwoh, Xiaoli Li and Cuntai Guan, “An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Apr 2021, 29, pp 809-818. ViewPDF
  67. Hsiao-Ju Cheng, Kwun Kei Ng, Xing Qian, Fang Ji, Zhongkang Lu, Wei Peng Teo, Xin Hong, Fatima Nasrallah, Kai Keng Ang, Kai-Hsiang Chuang, Cuntai Guan, Haoyong Yu, Effie Chew, Juan Zhou, “Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke”, Scientific Reports, Apr 2021. 11 (1), 8442. ViewPDF
  68. Kaishuo Zhang, Neethu Robinson, Seong-whan Lee, Cuntai Guan, “Adaptive Transfer Learning for EEG Motor Imagery Classification with Deep Convolutional Neural Network”, Neural Networks, Apr 2021, Vol 136, pp 1-10. ViewPDF SourceCode
  69. Chao Jiang, Yingjie Li, Yingying Tang, Cuntai Guan “Enhancing EEG-Based Classification of Depression Patients using Spatial Information”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Feb 2021, 29, pp 566-575. ViewPDF
  70. Bijun Tang, Yuhao Lu, Jiadong Zhou, Tushar Chouhan, Han Wang, Prafful Golani, Manzhang Xu, Quan Xu, Cuntai Guan, and Zheng Liu, “Machine learning-guided synthesis of advanced inorganic materials”, Materials Today, Vol 41, Dec 2020, pp 72-80. ViewPDF
  71. Nicholas Cheng, Kok Soon Phua, Hwa Sen Lai, Pui Kit Tam, Ka Yin Tang, Kai Kei Cheng, Raye Chen-Hua Yeow, Kai Keng Ang, Cuntai Guan, and Jeong Hoon Lim, “Brain-computer Interface-based Soft Robotic Glove Rehabilitation for Stroke”, IEEE Transactions on Biomedical Engineering (TBME), Dec 2020, 67 (12), pp 3339-3351. ViewPDF
  72. Chuangao Tang, Wenming Zheng, Yuan Zong, Nana Qiu, Cheng Lu, Xilei Zhang, Xiaoyan Ke, Cuntai Guan, “Automatic Identification of High-Risk Autism Spectrum Disorder: A Feasibility Study Using Video and Audio Data under the Still-Face Paradigm, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Nov 2020, 28 (11), pp 2401-2410. ViewPDF
  73. Yu Han, Bijun Tang, Liang Wang, Hong Bao, Yuhao Lu, Cuntai Guan, Liang Zhang, Mengying Le, Zheng Liu, and Minghong Wu, “Machine Learning Driven Synthesis of Carbon Dots with Enhanced Quantum Yields”, ACS Nano, Nov 2020, 14(11), pp 14761–14768. 
  74. Oyeon Kwon, Min-Ho Lee, Cuntai Guan, and Seong-Whan Lee, “Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Oct. 2020, 31 (10), pp 3839 - 3852. ViewPDF
  75. Effie Chew, Wei Peng Teo, Ning Tang, Kai Keng Ang, Yee Sien Ng, Juan Zhou, Irvin Teh, Kok Soon Phua, Ling Zhao and Cuntai Guan, “Using Transcranial Direct Current Stimulation to Augment the Effect of Motor Imagery-Assisted Brain-Computer Interface Training in Chronic Stroke Patients—Cortical Reorganization Considerations”, Frontiers in Neurology, Aug 2020, 11:948. DOI: 10.3389/fneur.2020.00948, pp1-11. ViewPDF
  76. Ravikiran Mane,Tushar Chouhan, and Cuntai Guan, “BCI for Stroke Rehabilitation: Motor and Beyond”, Journal of Neural Engineering (JNE), Aug 2020, 17, e041001, DOI: 10.1088/1741-2552/aba162. ViewPDF
  77. Ritu Ranjan Shrivastwa, Vikramkumar Pudi, Duo Chen, Rosa So, Anupam Chattopadhyay, Cuntai Guan, “A Brain Computer Interface framework based on Compressive Sensing and Deep Learning”, IEEE Consumer Electronics Magazine, May 2020, 9(3), pp 90-96.
  78. Ji-Hoon Jeong, No-Sang Kwak, Cuntai Guan, and Seong-Whan Lee, “Decoding Movement-Related Cortical Potentials based on Subject-Dependent and Section-Wise Spectral Filtering”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Mar 2020, 28 (3), pp 687-698. ViewPDF
  79. Ruyi Foong, Kai Keng Ang, Chai Quek, Cuntai Guan, Kok Soon Phua, Christopher Wee Keong Kuah, Deshmukh Arun Vishwanath, Lester Hon Lum Yam, Deshan Kumar Rajeswaran, Ning Tang, Effie Chew, and Karen Sui Geok Chua, “Assessment of the Efficacy of EEG-based MI-BCI with Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation”, IEEE Transactions on Biomedical Engineering (TBME), Mar 2020, 67(3), pp 786-795. ViewPDF
  80. Su Zhang, Wanjing Zhao, Xuying Hao, Yang Yang, and Cuntai Guan, “A Context-aware Locality Measure for Inlier Pool Enrichment in Stepwise Image Registration”, IEEE Transactions on Image Processing (TIP), Feb 2020, 29 (1), pp 4281-4295. ViewPDF
  81. Keun-Tae Kim, Cuntai Guan, and Seong-Whan Lee, “A Subject-Transfer Framework based on Single-Trial EMG Analysis using Convolutional Neural Networks,” IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Jan 2020, 28(1), pp 94-103. ViewPDF

  1. Ravikiran Mane, Effie Chew, Kok Soon Phua, Kai Keng Ang, Neethu Robinson, A. P. Vinod, and Cuntai Guan, “Prognostic and Monitory EEG-Biomarkers for BCI Upper-limb Stroke Rehabilitation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Aug 2019, 27(8), pp1654-1664. ViewPDF
  2. Xiangting Bernice Lin, Tih-Shih Lee, Yin Bun Cheung, Joanna Ling, Shi Hui Poon, Leslie Lim, Hai Hong Zhang, Zheng Yang Chin, Chuanchu Wang, Ranga Krishnan, Cuntai Guan, “Exposure Therapy with Personalized Real-Time Arousal Detection and Feedback to Alleviate Social Anxiety Symptoms in an Analogue Adult Sample: Pilot Proof-of-Concept Randomized Controlled Trial”, JMIR Mental Health, Jun 2019, 6(6), e13869. ViewPDF
  3. Choon Guan Lim, Xue Wei Wendy Poh, Daniel Shuen Sheng Fung, Cuntai Guan, Dianne Bautista, Yin Bun Cheung, Haihong Zhang, Si Ning Yeo, Ranga Krishnan, Tih Shih Lee, “A Randomized Controlled Trial of a Brain-Computer Interface based Attention Training Program for ADHD”, PLOS ONE, May 2019, 14 (5): e0216225. ViewPDF
  4. Zi Ying Wee, Samantha W. L. Yong, Qian Hui Chew, Cuntai Guan, Tih Shih Lee, Kang Sim, “Actigraphy studies and clinical and biobehavioural correlates in schizophrenia: a systematic review”, Journal of Neural Transmission, March 2019, 126, pp 531–558. ViewPDF
  5. Stefan K. Ehrlich, Kat R. Agres, Cuntai Guan, Gordon Cheng, “A closed-loop, music-based brain-computer interface for emotion mediation”, PLOS ONE, Mar 2019, 14(3): e0213516. ViewPDF
  6. Luzheng Bi, Aberham Genetu Feleke, Cuntai Guan, “A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration”, Biomedical Signal Processing & Control, Feb 2019, Vol 51, pp113-127. ViewPDF
  7. Fatemeh Fahimi, Zhuo Zhang, Wooi Boon Goh, Tih-Shih Lee, Kai Keng Ang, Cuntai Guan, “Inter-subject transfer learning with end-to-end deep convolutional neural network for EEG-based BCI”, Journal of Neural Engineering (JNE), Jan 2019, 16(2), 026007.  ViewPDF
  8. Xing Qian, Francisco Xavier Castellanos, Lucina Q.Uddin, Beatrice Rui Yi Loo, Siwei Liu, Hui Li Koh, Xue Wei Wendy Poh, Daniel Fung, Cuntai Guan, Tih-Shih Lee, Choon Guan Lim, Juan Zhou, “Large-scale brain functional network topology disruptions underlie symptom heterogeneity in children with attention-deficit/hyperactivity disorder”, NeuroImage : Clinical, Vol 21, 2019, 101600, pp1-8. ViewPDF
  9. Siavash Sakhavi, Cuntai Guan, Shuicheng Yan, “Learning Temporal Information for Brain-Computer Interface using Convolutional Neural Networks", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Nov. 2018, Vol 29, No. 11, pp 5619-5629. ViewPDF
  10. Luzheng Bi, Huikang Wang, Teng Teng, Cuntai Guan “A Novel Method of Emergency Situation Detection for a Brain-controlled Vehicle by Combining EEG Signals with Surrounding Information”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Oct 2018, 26(10), pp1926-1934. ViewPDF
  11. Tushar Chouhan, Neethu Robinson, Vinod A Prasad, Kai Keng Ang, Cuntai Guan, "Wavelet Phase-Locking based Binary Classification of Hand Movement Directions from EEG", Journal of Neural Engineering (JNE), Sept 2018, 15 (6), pp 1-13. ViewPDF
  12. Si Ning Yeo, Tih Shih Lee, Wei Theng Sng, Min Quan Heo, Dianne Bautista, Yin Bun Cheung, Haihong Zhang, Zheng Yang Chin, Lei Feng, Helen Juan Zhou, Mei Sian Chong, Tze Pin Ng, Ranga Krishnan, Cuntai Guan, “Effectiveness of a personalised Brain-Computer Interface system for cognitive training in healthy elderly: a randomized controlled trial”, Journal of Alzheimer's Disease, 66(1), 2018, pp127-138. ViewPDF
  13. Xing Qian, Beatrice Rui Yi Loo, Francisco Xavier Castellanos, Siwei Liu, Hui Li Koh, Xue Wei Wendy Poh, Ranga Krishnan, Daniel Fung, Michael Chee, Cuntai Guan, Tih-Shih Lee, Choon Guan Lim, Juan Zhou, “Brain-computer-interface-based intervention re-normalizes brain functional network topology in children with attention deficit/hyperactivity disorder," Translational Psychiatry(Nature Publishing Group), 8(1), 2018 ViewOnline
  14. Tim Schäck, Michael Muma, Mengling Feng, Cuntai Guan, Abdelhak M. Zoubir, "Robust Nonlinear Causality Analysis of Non-Stationary Multivariate Physiological Time Series”, IEEE Transactions on Biomedical Engineering (TBME), June 2018, Vol 65, No. 6, pp 1213-1225 ViewPDF
  15. Vikram Shenoy Handiru, A. P. Vinod, Cuntai Guan, “EEG Source Imaging of Movement Decoding: The State-of-the-art and Future Direction”, IEEE Systems, Man, and Cybernetics Magazine, April 2018, Vol 4, No 2, pp14 - 23. ViewPDF
  16. Xinyang Li, Cuntai Guan, Kai Keng Ang, Haihong Zhang, “A Unified Fisher's Ratio Learning Method for Spatial Filter Optimization", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Nov 2017, Vol 28, No 11, pp2727-2737, ViewPDF
  17. Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Tomas E. Ward, Karen S.G. Chua, Christopher Wee Keong Kuah, Gopal Joseph Ephraim Joseph, Kok Soon Phua, Chuanchu Wang, “Facilitating Motor Imagery-based Brain-computer Interface for Stroke Patients Using Passive Movement", Neural Computing and Applications, Nov 2017, Vol 28, No 11, pp 3259–3272. ViewPDF
  18. Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al-Mamun, Chuanchu Wang, Cuntai Guan, “EEG Artifact Removal Methodologies Based on Detection of Influential Independent Components”, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), Vol 1, No 4, 2017, pp270-279. ViewPDF
  19. Xin Hong, Zhongkang Lu, Irvin Teh, Fatima Ali Nasrallah, Wei Peng Teo, Kai Keng Ang, Kok Soon Phua, Cuntai Guan, Effie Chew, Kai-Hsiang Chuang, “Brain plasticity following MI-BCI training combined with tDCS in a randomized trial in chronic subcortical stroke subjects: a preliminary study”, Scientific Reports, 7, 2017 doi:10.1038/s41598-017-08928-5 ViewPDF
  20. Xinyang Li, Cuntai Guan, Kai Keng Ang, Haihong Zhang, “Discriminative Ocular Artifact Correction for Feature Learning in EEG Analysis”, IEEE Transactions on Biomedical Engineering (TBME), Aug 2017, Vol 64, No 8, pp 1906-1913 ViewPDF
  21. Kai Keng Ang, Cuntai Guan, “EEG-based Strategies to Detect Motor Imagery for Control and Rehabilitation”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), April 2017, Vol 25, No. 4, pp 392-401 (Invited Paper) ViewPDF
  22. Huibin Chang, Weimin Huang, Chunlin Wu, Su Huang, Cuntai Guan, Sakthivel Sekar, Kishore Kumar Bhakoo, Yuping Duan, “A New Variational Method for Bias Correction and its Applications to Rodent Brain Extraction”, IEEE Transactions on Medical Imaging (TMI), March 2017, Vol 36, No 3, pp 721-733. ViewPDF
  23. Rosa So, Vibhor Krishna, Nicholas King, Huijuan Yang, Zhuo Zhang, Francesco Sammartino, Andres Lozano, Richard Wennberg, Cuntai Guan, “Prediction and Detection of Seizures from Simultaneous Thalamic and Scalp EEG Recordings", Journal of Neurosurgery, 126(6), 2017, pp2036-2044 ViewPDF
  24. Vikram Handiru Shenoy, Vinod A Prasad, Cuntai Guan, "EEG Source Space Analysis of Supervised Factor Analytic Approach for the Classification of Multi-directional Arm Movement", Journal of Neural Engineering (JNE), 14, 2017, 046008, pp1-14 ViewPDF
  25. Camilo Libedinsky, Rosa So, Zhiming Xu, Toe K. Kyar, Duncun Ho, Clement Lim, Louiza Chan, Yuanwei Chua, Lei Yao, Jia H. Cheong, Jung Hyup Lee, Kulkarni Vinayak Vishal, Yongxin Guo, Zhi Ning Chen, Lay K. Lim, Peng Li, Lei Liu, Xiaodan Zou, Kai K. Ang, Yuan Gao, Wai H. Ng, Boon S. Han, Keefe Chng, Cuntai Guan, Minkyu Je, Shih-Cheng Yen, “Independent Mobility Achieved Through a Wireless Brain-Machine Interface”, PLOS ONE, 2016, Vol 11, No 11, e0165773 ViewPDF
  26. Neethu Robinson, Ali Danish Zaidi, Mohit Rana, Vinod A Prasad, Cuntai Guan, Niels Birbaumer, Ranganatha Sitaram, “Real-time Subject-independent Pattern Classification of Overt and Covert Movements from fNIRS Signals”, PLOS ONE, 2016, Vol 11, No. 7, e0159959 ViewPDF
  27. Huijuan Yang, Kai Keng Ang, Chuanchu Wang, Kok Soon Phua, Cuntai Guan, “Neural and Cortical Analysis of Swallowing and Detection of Motor Imagery of Swallow for Dysphagia Rehabilitation - A Review”, Progress in Brain Research, vol 228, 2016, pp185-219 (Invited Paper) ViewPDF
  28. Tong Wu, Jian Xu, Yong Lian, Azam Khalili, Amir Rastegarnia, Cuntai Guan, Zhi Yang, “A 16-Channel Nonparametric Spike Detection ASIC Based on EC-PC Decomposition”, IEEE Transactions on Biomedical Circuits and Systems (TBCAS), Feb 2016, 10(1), pp 3-17. doi: 10.1109/TBCAS.2015.2389266 ViewPDF
  29. Neethu Robinson, Cuntai Guan, Vinod A Prasad, "Adaptive Estimation of Hand Movement Trajectory in an EEG Based Brain-Computer Interface System", Journal of Neural Engineering (JNE), 2015, Vol 12, No 6, 066019 ViewPDF
  30. Kai Keng Ang, Karen Sui Geok Chua, Kok Soon Phua, Chuanchu Wang, Zheng Yang Chin, Haihong Zhang, Christopher Wee Keong Kuah, Jeanette Lee, Wilson Low, Beng Ti Ang, Keng-He Kong, Cuntai Guan, “A Randomized Controlled Trial on EEG-based motor imagery Brain-Computer Interface robotic rehabilitation for stroke”, Clinical EEG & Neuroscience, Oct 2015, 46(4), pp 310-320. ViewPDF
  31. Andreas Markus Ray, Ranganatha Sitaram, Mohit Rana, Emanuele Pasqualotto, Korhan Buyukturkoglu, Cuntai Guan, Kai Keng Ang, Cristián Tejos, Francisco Javier Zamorano, Francisco Aboitiz, Niels Birbaumer, Sergio Ruiz, “A Subject-independent Pattern-based Brain-Computer Interface”, Frontiers in Behavioral Neuroscience, 2015, Vol 9, No 00269. ViewPDF
  32. Kai Keng Ang and Cuntai Guan, "Brain-computer Interface for Neuro-Rehabilitation of Upper Limb after Stroke", Proceedings of the IEEE, Jun 2015, vol. 103, no. 6, pp. 944-953. (Invited Paper) ViewPDF
  33. Huijuan Yang, Cuntai Guan, Chuan Chu Wang and Kai Keng Ang, “Detection of Motor Imagery of Brisk Walking from Electroencephalogram”, Journal of Neuroscience Methods, Apr 2015, 15(244) pp 33-44. ViewPDF
  34. Kai Keng Ang, Cuntai Guan, Chuanchu Wang, Ling Zhao, Wei Peng Teo, Chang Wu Chen, Yee Sien Ng, Effie Chew, "Facilitating Effects of Transcranial Direct Current Stimulation on Motor Imagery Brain-Computer Interface for Stroke Rehabilitation”, Archives of Physical Medicine and Rehabilitation (APMR), Vol 96 (3 Suppl 1), S79-87, 2015. (Invited Paper) ViewPDF
  35. Tih Shih Lee, Shin Yi Quek, Siau Juinn Alexa Goh, Rachel Phillips, Cuntai Guan, Yin Bun Cheung, Lei Feng, Chuanchu Wang, Zheng Yang Chin, Haihong Zhang, Jimmy Lee, Tze Pin Ng, Ranga Krishnan, “A Pilot Randomized Controlled Trial Using EEG-based Brain–computer Interface Training for a Chinese-speaking Group of Healthy Elderly”, Clinical Interventions in Aging, 2015:10, pp 217–227 ViewPDF
  36. Fabien Lotte, Jonathan S Brumberg, Peter Brunner, Aysegul Gunduz, Anthony L Ritaccio, Cuntai Guan, Gerwin Schalk, “Electrocorticographic Representations of Segmental Features in Continuous Speech”, Frontiers in Human Neuroscience, Feb 2015, 9:97. doi: 10.3389/fnhum.2015.00097 ViewPDF
  37. Qianli Xu, Tin Lay Nwe, and Cuntai Guan, “Cluster-based Analysis for Personalized Stress Evaluation using Physiological Signals”, IEEE Journal of Biomedical and Health Informatics (J-BHI), Jan 2015, 19(1):275-81. doi: 10.1109/JBHI.2014.2311044 ViewPDF
  38. Felix Putze, Sebastian Hesslinger, Chun-Yu Tse, Yun Ying Huang, Christian Herff, Cuntai Guan, Tanja Schultz, “Hybrid fNIRS-EEG based Classification of Auditory and Visual Perception Processes”, Frontiers in Neuroscience, Nov 2014, doi: 10.3389/fnins.2014.00373 ViewPDF
  39. Yin Zhou, Tong Wu, Amir Rastegarnia, Cuntai Guan, Edward Keefer, Zhi Yang, “On the Robustness of EC–PC Spike Detection Method for Online Neural Recording”, Journal of Neuroscience Methods, Sep 2014, vol 235, pp 316–330 ViewPDF 
  40. Xinyang Li, Cuntai Guan, Haihong Zhang, Kai Keng Ang, Sim Heng Ong, “Adaptation of Motor Imagery EEG Classification Model Based on Tensor Decomposition", Journal of Neural Engineering (JNE), Sep 2014, 11 (5), 056020 ViewPDF
  41. Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek, "Mutual Information-based Optimization of Sparse Spatio-spectral Filters in Brain-Computer Interface", Neural Computing and Applications, Sep 2014, vol 25, no 3-4, pp 625-634 ViewPDF
  42. Atieh Bamdadian, Cuntai Guan, Kai Keng Ang, and Jianxin Xu, "The Predictive Role of Pre-cue EEG Rhythms on MI-based BCI Classification Performance," Journal of Neuroscience Methods, Sep 2014, 235C:138-144. doi: 10.1016/j.jneumeth.2014.06.011 ViewPDF
  43. Kai Keng Ang, Cuntai Guan, Kok Soon Phua, Chuanchu Wang, Longjiang Zhou, Ka Yin Tang, Gopal Joseph Ephraim_Joseph, Christopher Wee Keong Kuah and Karen Sui Geok Chua, "Brain-Computer Interface-based Robotic End Effector System for Wrist and Hand Rehabilitation: Results of a Three-armed Randomized Controlled Trial for Chronic Stroke”, Frontiers in NeuroEngineering, 2014, 7:30. doi: 10.3389/fneng.2014.00030. ViewPDF
  44. Huijuan Yang, Cuntai Guan, Karen Sui Geok Chua, See San Chok, Chuan Chu Wang, Kok Soon Phua, Ka Yin Christina Tang, Kai Keng Ang, “Detection of Motor Imagery of Swallow EEG Signals based on Dual-Tree Complex Wavelet Transform and Adaptive Model Selection”, Journal of Neural Engineering (JNE), May 2014, 11 (3), 035016 ViewPDF
  45. Tih-Shih Lee, Siau Juinn Alexa Goh, Shin Yi Quek, Rachel Phillips, Cuntai Guan, Yin Bun Cheung, Lei Feng, Stephanie Sze Wei Teng, Chuan Chu Wang, Zheng Yang Chin, Haihong Zhang, Tze Pin Ng, Jimmy Lee, Richard Keefe, Ranga Rama Krishnan, “A Brain-computer Interface Based Cognitive Training System for Healthy Elderly: A Randomized Control Pilot Study for Usability and Preliminary Efficacy”, PLOS ONE, 2013, Vol 8, No 11, page e79419 ViewPDF
  46. Neethu Robinson, Cuntai Guan, A P Vinod, Ang Kai Keng and Tee Keng Peng, “Multi-class EEG Classification of Voluntary Hand Movement Directions”, Journal of Neural Engineering (JNE), Sep 2013, Vol. 10, No. 5, pp 056018 ViewPDF
  47. Xinyang Li, Haihong Zhang, Cuntai Guan, Sim-Heng Ong, Yaozhang Pan and Kai Keng Ang, “Discriminative Learning of Signal Propagation and Spatial Pattern for Motor Imagery EEG Analysis”, Neural Computation, Oct 2013, Vol. 25, No. 10, pp 2709-2733 ViewPDF
  48. Neethu Robinson, A. P. Vinod, Kai Keng Ang, Keng Peng Tee, Cuntai Guan, “EEG-based Classification of Fast and Slow Hand Movements Using Wavelet-CSP Algorithm”, IEEE Transactions on Biomedical Engineering (TBME), Aug 2013, Vol. 60, No. 2, pp 2123 - 2132 ViewPDF
  49. Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek, "EEG Data Space Adaptation to Reduce Inter-session Non-stationarity in Brain-Computer Interface", Neural Computation, Aug 2013, Vol. 25, No. 8, pp 2146-2171 ViewPDF
  50. Haihong Zhang, Huijuan Yang, Cuntai Guan, "Bayesian Learning for Spatial Filtering in EEG-based Brain-Computer Interface", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), July 2013, Vol 24, No. 7, pp 1-12 ViewPDF
  51. Kai Keng Ang and Cuntai Guan, “Brain-Computer Interface in Stroke Rehabilitation", Journal of Computing Science and Engineering, June 2013, Vol. 7, No. 2, pp. 139-146. (Invited Paper) ViewPDF
  52. Sidath Liyanage, Cuntai Guan, Haihong Zhang, Kai Keng Ang, Jianxin Xu, and Tong Heng Lee, “Dynamically Weighted Ensemble Classification for Non-Stationary EEG Processing”, Journal of Neural Engineering (JNE), June 2013, Vol 10, No. 3, 036007 ViewPDF
  53. Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek, "Optimizing Spatial Filters by Minimizing Within-class Dissimilarities in EEG-based BCI", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), April 2013, Vol 24, No. 4, pp 610-619 ViewPDF
  54. Haiping Lu, Yaozhang Pan, Bappaditya Mandal, How-Lung Eng, Cuntai Guan and Derrick W. S. Chan, “Quantifying Limb Movements in Epileptic Seizures through Color-based Video Analysis”, IEEE Transactions on Biomedical Engineering (TBME), Feb 2013, Vol. 60, No. 2, pp 461-469 ViewPDF
  55. Sau Wai Tung, Hiok Chai Quek, Cuntai Guan, “eT2FIS: An Evolving Type-2 Neural Fuzzy Inference System”, Information Sciences, 2013, Vol 220, 2013, pp 124–148 ViewPDF
  56. Balint Varkuti, Cuntai Guan, Yaozhang Pan, Kok Soon Phua, Kai Keng Ang, Christopher Kuah, Karen Chua, Beng Ti Ang, Niels Birbaumer, Ranganatha Sitaram, “Resting State Changes In Functional Connectivity Correlate With Movement Recovery For BCI And Robot-Assisted Upper Extremity Training After Stroke“, Neurorehabilitation and Neural Repair, 2013, vol. 27, no. 1,  pp 53-62 ViewPDF
  57. Choon Guan Lim, Tih Shih Lee, Cuntai Guan, Daniel Fung, Yudong Zhao, Stephanie Sze Wei Teng, Haihong Zhangand Ranga Krishnan, “A Brain-Computer Interface Based Attention Training Program for Treating Attention Deficit Hyperactivity Disorder”, PLOS ONE, 2012, 7(10): e46692 ViewPDF
  58. Sau Wai Tung, Hiok Chai Quek, Cuntai Guan, "SoHyFIS-Yager: A self-organizing Yager based Hybrid Neural Fuzzy Inference System", Expert Systems with Applications, 2012, 39(17), 12759—12771 ViewPDF
  59. Zhi Yang, Wentai Liu, Mohammad Reza Keshtkaran, Yin Zhou, Jian Xu, Victor Pikov, Cuntai Guan and Yong Lian, “A New EC–PC Threshold Estimation Method for in-vivo Neural Spike Detection”, Journal of Neural Engineering (JNE), 2012, Vol 9, No 4,  046017 ViewPDF
  60. Kai Keng Ang, Zheng Yang Chin, Chuanchu Wang, Cuntai Guan, Haihong Zhang, “Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets IIa and IIb”, Frontiers in Neuroscience, 2012, 6:39. doi: 10.3389/fnins.2012.00039. (Invited Paper) ViewPDF
  61. Haihong Zhang, Cuntai Guan, Kai Keng Ang and Chuanchu Wang, “BCI Competition IV – Data Set I: Learning Discriminative Patterns for Self-paced EEG-based Motor Imagery Detection”, Frontiers in Neuroscience, 2012, 6:7. doi: 10.3389/fnins.2012.00007. (Invited Paper) ViewPDF
  62. Kai Keng Ang, Zheng Yang Chin, Haihong Zhang, Cuntai Guan, “Mutual Information-based Selection of Optimal Spatial-temporal Patterns for Single-trial EEG-based BCIs”, Pattern Recognition, June 2012, Vol 45, No 6, pp 2137–2144 ViewPDF
  63. Sau Wai Tung, Chai Quek, and Cuntai Guan, "SaFIN: A Self-Adjusting Fuzzy Inference Network", IEEE Transactions on Neural Networks (TNN), Dec 2011, Vol. 22, No. 12, pp 1928-1940 ViewPDF
  64. Kai Keng Ang, Cuntai Guan, Karen Sui Geok Chua, Beng Ti Ang, Christopher Wee Keong Kuah, Chuanchu Wang, Koksoon Phua, Zheng Yang Chin, Haihong Zhang, “A Large Clinical Study on the Ability of Stroke Patients in Operating EEG-based Motor Imagery Brain-Computer Interface”, Clinical EEG and Neuroscience, Oct, 2011, pp 253-258 ViewPDF
  65. Haihong Zhang, Sidath Liyanage, Cuntai Guan, “Learning from Feedback Training Data in Self-Paced Brain-Computer Interface”, Journal of Neural Engineering (JNE), Aug 2011, Vol 8, 046035 ViewPDF
  66. Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang and Hiok Chai Quek, “Optimizing the Channel Selection and Classification Accuracy in EEG-based BCI”, IEEE Transactions on Biomedical Engineering (TBME), June 2011, Vol. 58 No. 6, pp1865-1873 ViewPDF
  67. Kavitha P Thomas, Cuntai Guan, Chiew Tong Lau, Vinod A Prasad and Kai Keng Ang, “Adaptive Tracking of Discriminative Frequency Components in EEG for a Robust Brain-Computer Interface”, Journal of Neural Engineering (JNE), 2011, Vol. 8, No. 3, 036007 ViewPDF
  68. Fabien P.R. Lotte and Cuntai Guan, “Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms”, IEEE Transactions on Biomedical Engineering (TBME), Feb 2011, Vol. 58, No. 2, pp 355-362 ViewPDF
  69. Haihong Zhang, Chin Zheng Yang, Kai Keng Ang, Cuntai Guan and Chuanchu Wang, “Optimum Spatio-Spectral Filtering Network for Brain-Computer Interface”, IEEE Transactions on Neural Networks (TNN), Jan 2011, Vol. 22, No. 1,pp52-63 ViewPDF
  70. Brice Rebsamen, Cuntai Guan, Haihong Zhang, Chuanchu Wang, Cheeleong Teo, Marcelo Ang, and Etienne Burdet, “A Brain Controlled Wheelchair to Navigate in Familiar Environments”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Dec 2010, Vol. 18, No. 6, pp590 – 598 ViewPDF
  71. Haihong Zhang, Cuntai Guan and Yuanqing Li, “A Linear Discriminant Analysis Method based on Mutual Information Maximization”, Pattern Recognition, Vol 44, No. 4, April 2011, pp877-885 ViewPDF
  72. Haiping Lu, How-Lung Eng, Cuntai Guan, K. N. Plataniotis and A. N. Venetsanopoulos, “Regularized Common Spatial Pattern with Aggregation for EEG Classification in Small-Sample Setting”, IEEE Transactions on Biomedical Engineering (TBME), Dec 2010, Vol 57, No. 12, pp 2936-2946 ViewPDF
  73. Haihong Zhang and Cuntai Guan, “A Maximum Mutual Information Approach for Generating Effective 1D Continuous Control Signal in Asynchronous Brain Computer Interface”, Journal of Neural Engineering (JNE), 2010, Vol. 7, No. 5, 056009 ViewPDF
  74. Yuanqing Li, Jinyi Long, Tianyou Yu, Zhuliang Yu, Chuanchu Wang, Haihong Zhang, Cuntai Guan, “An EEG-based BCI System for 2-D Cursor Control by Combining Mu/Beta Rhythm and P300 Potential”, IEEE Transactions on Biomedical Engineering (TBME), Oct 2010, Vol. 57, No. 10, pp 2495-2505 ViewPDF
  75. Choon Guan Lim, Tih Shih Lee, Cuntai Guan, Daniel Fung, Yin Bun Cheung, Stephanie Sze Wei Teng, Haihong Zhang and Ranga R Krishnan, “Effectiveness of a Brain-Computer Interface Based Programme for the Treatment of ADHD: A Pilot Study", Psychopharmacology Bulletin, 2010, Vol. 43, No. 1, pp73-82. ViewPDF
  76. Kavitha P Thomas, Cuntai Guan, Tong Lau Chiew, Vinod A Prasad and Kai Keng Ang, "New Discriminative Common Spatial Pattern Method for Motor Imagery Brain Computer Interfaces", IEEE Transactions on Biomedical Engineering (TBME), Nov, 2009, Vol. 56, No. 11, pp2730 - 2733 ViewPDF
  77. Yuanqing Li, Praneeth Namburi, Zhuliang Yu, Cuntai Guan, Jianfeng Feng and Zhenghui Gu, "Voxel Selection in fMRI Data Analysis Based on Sparse Representation", IEEE Transactions on Biomedical Engineering (TBME), Oct 2009, Vol. 56, No. 10, pp2439-2451 ViewPDF
  78. Shijian Lu, Cuntai Guan and Haihong Zhang, "Unsupervised Brain Computer Interface based on Inter-Subject Information and Online Adaptation", IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), Apr 2009, Vol. 17, No. 2, pp1-11 ViewPDF
  79. Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Shenli Xie and Cuntai Guan, "Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation", IEEE Transactions on Neural Networks (TNN), Dec 2008, Vol 19, No 12, pp 2009-2021 ViewPDF
  80. Haihong Zhang, Cuntai Guan and Chuanchu Wang, "Towards Asynchronous P300-based Brain-computer Interfaces: A Computational Approach with Statistical Models”, IEEE Transactions on Biomedical Engineering (TBME), June 2008, Vol. 55, No. 6, pp1754-1763 ViewPDF
  81. Yuanqing Li and Cuntai Guan, "Joint Feature Re-extraction and Classification Using an Iterative Semi-Supervised Support Vector Machine Algorithm", Machine Learning, Apr 2008, vol. 71, no. 1, pp33-53. ViewPDF
  82. Ranganatha Sitaram, Haihong Zhang, Cuntai Guan, Manoj Thulasidas, Yoko Hoshi, Akihiro Ishikawa, Koji Shimizu and Niels Birbaumer, "Temporal Classification of Multi-Channel Near Infrared Spectroscopy Signals of Motor Imagery for Developing a Brain-Computer Interface", NeuroImage, Feb 2007, Vol 34, No 4, pp1416-1427 ViewPDF
  83. Brice Rebsamen, Etienne Burdet, Cuntai Guan, Haihong Zhang, Chee Leong Teo, Qiang Zeng, Christian Laugier and Marcelo H. Ang Jr., "Controlling a Wheelchair Indoors Using Thought," IEEE Intelligent Systems, Mar/Apr, 2007, vol. 22, no. 2,  pp18-24 ViewPDF
  84. Yuanqing Li, Shun-ichi Amari, Andrzej Cichocki and Cuntai Guan, "Probability Estimation for Recoverability Analysis of Blind Source Separation Based on Sparse Representation", IEEE Transactions on Information Theory (TIT), 2006, Vol. 52, No.7, pp3139-3152 ViewPDF
  85. Yuanqing Li and Cuntai Guan, "An Extended EM Algorithm for Joint Feature Extraction and Classification in Brain Computer Interfaces", Neural Computation, 2006, Vol. 18, No.11,  pp2730–2761 ViewPDF
  86. Thulasidas Manoj, Cuntai Guan, and Wu Jiankang,"Robust Classification of EEG Signal for Brain-Computer Interface", IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2006, Vol.14, No.1, pp24-29 ViewPDF

  1. Ravikiran Mane, Kai Keng Ang, Cuntai Guan, “Brain Computer Interface for Stroke Rehabilitation”, in book Handbook of Neuroengineering, Springer, 2021.
  2. Xinyang Li, Cuntai Guan, Huijuan Yang, “Discriminative Learning of Connectivity Pattern of Motor Imagery EEG”, in book Signal Processing and Machine Learning for Brain-Machine Interfaces, IET, 2018.
  3. Xin Yi Lee, Eleni Koukouna, Choon Guan Lim, Cuntai Guan, Tih Shih Lee, Daniel Shuen Sheng Fung, “Can We Play with ADHD? An Alternative Game-Based Treatment for Inattentive Symptoms in Attention-Deficit Hyperactivity Disorder”, in book Subconscious Learning via Games and Social Media, pp 69-86, Springer Singapore, 2015.
  4. Chun Siong Lee, Chee Kong Chui, Cuntai Guan, Pui Wai Eu, Bhing Leet Tan, Joseph Jern-Yi Leong, “Integrating EEG Modality in Serious Games for Rehabilitation of Mental Patients”, in book Simulations, Serious Games and Their Applications, pp51-68, Springer Singapore, 2014.
  5. Yaozhang Pan, Cuntai Guan, How-Lung Eng, Shuzhi Sam Ge, Yen ling Ng, Derrick Wei Shih Chan, “Quantitative evaluation of interictal high frequency oscillations in scalp EEGs for epileptogenic region localization”, in book Knowledge Engineering and Management, pp 419-427, Springer, Berlin, Heidelberg, 2014.
  6. Cuntai Guan, Kai Keng Ang, et al. “State-of-the-Art in BCI Research: BCI Award 2010”, in book Recent Advances in Brain-Computer Interface Systems, ISBN: 978-953-307-175-6, InTech, pp193-222, 2011.
  7. Yuanqing Li, Kai Keng Ang, Cuntai Guan, “Digital Signal Processing and Machine Learning”, in book Brain-Computer Interfaces - Revolutionizing Human-Computer Interaction, ISBN: 978-3-642-02090-2, Springer, 2010.

  1. Ziyuan Zhao, Fen Fang, Xulei Yang, Qianli Xu, Cuntai Guan, and S. Kelvin Zhou, “See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos,” 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 6-10 Oct 2024 Morocco
  2. Ruixuan Zhang, Wenhuan Lu, Cuntai Guan, Jei Gao, Xi Wei, and Xuewei Li, “SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation,” 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 6-10 Oct 2024 Morocco.
  3. Han Wei Ng, Cuntai Guan, “Unsupervised Few-Shot Adaptive Re-Learning for EEG-based Motor Imagery Classification,” 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct 6-10, Sarawak, Malaysia.
  4. Han Wei Ng, Cuntai Guan, “Self-Selecting Semi-Supervised Transformer-Attention Convolutional Network for Four Class EEG-Based Motor Imagery Decoding,” 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 14-18, 2024, Abu Dhabi, UAE.
  5. Ziyuan Zhao, Zhi Qing Ng, Zhongyao Cheng, Jiahao Wang, Xulei Yang, Hanry Yu, Cuntai Guan, “Dual Prototypical Self-Supervised Learning for One-Shot Medical Image Segmentation,” 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, USA, July 15-19, 2024.
  6. Ziyuan Zhao, Renjun Cai, Kaixin Xu1, Zhengji Liu, Xulei Yang, Jun Cheng, Cuntai Guan, “Multi-dataset Collaborative Learning for Liver Tumor Segmentation,” 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, USA, July 15-19, 2024.
  7. Yuting Tang, Neethu Robinson, Cuntai Guan, “Hand Joint Reconstruction from Electroencephalography Signals with Deep Learning,” 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, USA, July 15-19, 2024.
  8. Xiaohao Lin, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Han Wei Ng, Cuntai Guan, “Bi-hemisphere Interaction Convolutional Neural Network for Motor Imagery Classification,” 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, USA, July 15-19, 2024.
  9. Rosary Yuting Lim, Muyun Jiang, Kai Keng Ang, Xiaohao Lin and Cuntai Guan, “Brain-Computer-Brain system for individualized transcranial alternating current stimulation with concurrent EEG recording: a healthy subject pilot study,” 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, USA, July 15-19, 2024. 
  10. Kairui Hu, Ming Yan, Wen Haw Chong, Yong Keong Yap, Cuntai Guan, Joey Tianyi Zhou, Ivor W Tsang, “Ladder-Of-Thought: Using Knowledge as Steps to Elevate Stance Detection,” the IEEE World Congress on Computational Intelligence (WCCI), Yokohama, Japan, 30 June - 5 July 2024.
  11. Han Wei Ng, Kavitha Thomas, Neethu Robinson, Aung Aung Phyo Wai, Leran Jenny Liang, Nishka Khendry, Aarthy Nagarajan and Cuntai Guan, “CASTNet: Cycle-Consistent Attention-Based Network for Decoding Open/Close Hand Movement Attempts Using EEG,” the IEEE World Congress on Computational Intelligence (WCCI), Yokohama, Japan, 30 June - 5 July 2024.
  12. Ce Ju, Reinmar J Kobler, Liyao Tang, Cuntai Guan, Motoaki Kawanabe, “Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data”, the Twelfth International Conference on Learning Representations (ICLR), May 7- 11, 2024, Vienna, Austria.
  13. Han Wei Ng and Cuntai Guan, “Efficient Representation Learning for Inner Speech Domain Generalization”, The 20th International Conference on Computer Analysis of Images and Patterns, 26-28 September, 2023, Main Conference, Limassol, Cyprus.
  14. Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Wai Leong Tam, Xiaoli Li, “SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction”, The 31st International Joint Conference on Artificial Intelligence (IJCAI), 19-25 Aug 2023, Macao, China.
  15. Yi Ding and Cuntai Guan, “GIGN: Learning Graph-in-graph Representations of EEG Signals for Continuous Emotion Recognition,” 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC), 24-27 Jul 2023, Sydney.
  16. Xi Fu and Cuntai Guan, “Gait Pattern Recognition Based on Supervised Contrastive Learning Between EEG and EMG,” 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC), Jul 2023, Sydney.
  17. Chengxuan Tong, Yi Ding, Kevin Lim, Cuntai Guan, “MTDN: Learning Multiple Temporal Dynamics representation for Emotional Valence Classification with EEG,” 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC), 24-27 Jul 2023, Sydney.
  18. Ce Ju, Reinmar Josef Kobler, Cuntai Guan,“Score-based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI Performance”, 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC), 24-27 Jul 2023, Sydney.
  19. Hannah Sophia Pulferer, Gernot Müller-Putz, Cuntai Guan, “Continuous erroneous feedback processing during deviation from the road within a 2D steering task”, 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC), 24-27 Jul 2023, Sydney.
  20. Shuailei Zhang, Dezhi Zheng, Ning Tang, Effie Chew, Rosary Yuting Lim, Kai Keng Ang, Cuntai Guan, "Online Adaptive CNN: a Session-to-session Transfer Learning Approach for Non-stationary EEG," IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022), 4-7 Dec 2022 (IEEE Brain Best Paper Award).
  21. Ziyuan Zhao, Jinxuan Hu, Zeng Zeng, Xulei Yang, Peisheng Qian, Bharadwaj Veeravalli, Cuntai Guan, “MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation”, the 29th IEEE International Conference on Image Processing (IEEE ICIP), October 16-19, 2022, Bordeaux, France.
  22. Ziyuan Zhao, Andong Zhu, Zeng Zeng, Bharadwaj Veeravalli, Cuntai Guan, “ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation”, the 29th IEEE International Conference on Image Processing (IEEE ICIP), October 16-19, 2022, Bordeaux, France.
  23. Ziyuan Zhao, Fangcheng Zhou, Zeng Zeng, Cuntai Guan, S. Kevin Zhou, “Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation”, the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Sept 18-22, 2022, Singapore.
  24. Xi Fu, Liming Zhao, Cuntai Guan, “MATN: Multi-model Attention Network for Gait Prediction from EEG”, 2022 IEEE World Congress on Computational Intelligence (IJCNN), 18-23 July, 2022, Padua, Italy.
  25. Chengxuan Tong, Yi Ding, Kevin Lim, Zhuo Zhang, Haihong Zhang, Cuntai Guan, “TESANet: Self-attention network for olfactory EEG classification”, 2022 IEEE World Congress on Computational Intelligence (IJCNN), 18-23 July, 2022, Padua, Italy.
  26. Su Zhang, Ruyi An, Yi Ding and Cuntai Guan, “Continuous Emotion Recognition using Visual-audio-linguistic Information: A Technical Report for ABAW3”, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW): 3rd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW), June 19-20, 2022, New Orleans, USA.
  27. Ziyuan Zhao, Wenjing Lu, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan, “Self-supervised Assisted Active Learning for Skin Lesion Segmentation,” 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 11-15 July 2022, Glasgow, UK.
  28. Yi Ding, Nigel Wei Jun Ang, Aung Aung Phyo Wai, Cuntai Guan, “Learning Generalized Representations of EEG between Multiple Cognitive Attention Tasks”, 43rd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), October 31-November 4, 2021.
  29. Vishnupriya R, Neethu Robinson, Ramasubba Reddy M, Cuntai Guan, “Performance Evaluation of Compressed Deep CNN for Motor Imagery Classification using EEG”, 43rd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), October 31-November 4, 2021.
  30. Aarthy Nagarajan, Neethu Robinson, Cuntai Guan, “Investigation on Robustness of EEG-based Brain-Computer Interfaces”, 43rd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), October 31-November 4, 2021.
  31. Aung Aung Phyo Wai, Tchen Jee Ern, Cuntai Guan, “A Study of Visual Search based Calibration Protocol for EEG Attention Detection”, 43rd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), October 31-November 4, 2021.
  32. Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan, “Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation”, 43rd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), October 31-November 4, 2021.
  33. Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan, “MT-UDA: Towards Unsupervised Cross-Modality Medical Image Segmentation with Limited Source Labels”, the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 27 Sept 27 – 1 Oct, 2021.
  34. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan “Time-Series Representation Learning via Temporal and Contextual Contrasting”, The 30th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, 21st -26th August, 2021.
  35. Hong Jing Khok, Victor Teck Chang Koh, Cuntai Guan, “Deep Multi-Task Learning for SSVEP Detection and Visual Response Mapping”, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct 11-14, 2020, Toronto, Canada. ViewPDF
  36. Wenshan Wu, Ravikiran Mane, Yuhao Lu, Cuntai Guan, “Deep Learning for Neuroimaging Segmentation with a Novel Data Augmentation Strategy”, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Québec, Canada, July 20th – 24th, 2020.
  37. Aung Aung Phyo Wai, Jun Cong Lee, Tao Yang, Rosa So, Cuntai Guan, “Effects of Stimulus Spatial Resolution on SSVEP Responses under Overt and Covert Attention”, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Québec, Canada, July 20th – 24th, 2020. ViewPDF
  38. Aung Aung Phyo Wai, Maokang Dou, Cuntai Guan, “Generalizability of EEG-based Mental Attention Modeling using Different Cognitive Tasks”, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Québec, Canada, July 20th – 24th, 2020.
  39. Yuhao Lu, Juan Helen Zhou, Cuntai Guan, “Minimizing Hybrid Dice Loss for Highly Imbalanced 3D Neuroimage Segmentation”, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Québec, Canada, July 20th – 24th, 2020.
  40. Mengjiao Hu, Kang Sim, Juan Helen Zhou, Xudong Jiang, Cuntai Guan, “Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls”, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Québec, Canada, July 20th – 24th, 2020. ViewPDF
  41. Ju Ce, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan, “Federated Transfer Learning for EEG Signal Classification”, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Québec, Canada, July 20th – 24th, 2020. ViewPDF
  42. Zhang Su & Cuntai Guan, “Emotion Recognition with Refined Labels for Deep Learning”, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Québec, Canada, July 20th – 24th, 2020. 
  43. Ravikiran Mane, Neethu Robinson, A. P. Vinod, Seong-Whan Lee, Cuntai Guan, “A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface”, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Québec, Canada, July 20th – 24th, 2020. ViewPDF
  44. Aung Aung Phyo Wai, Heng Guo, Ying Chi, Lei Zhang, Xian-Sheng Hua, and Cuntai Guan, “Optimizing Filter-bank Canonical Correlation Analysis for Fast Response SSVEP Brain-Computer Interface (BCI)”, 2020 International Joint Conference on Neural Networks (IJCNN), 19 - 24th July, 2020, Glasgow, UK. 
  45. Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih-Shih Lee, and Cuntai Guan, “TSception: A Deep Learning Framework for Emotion Detection Using EEG”, 2020 International Joint Conference on Neural Networks (IJCNN), 19 - 24th July, 2020, Glasgow, UK. ViewPDF
  46. Robinson Neethu, Seong-Whan Lee, Cuntai Guan, “EEG Representation in Deep Convolutional Neural Networks for Classification of Motor Imagery”, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Bari, Italy, 6-9 October, 2019. ViewPDF
  47. Pinar Bilgin, Kat Agres, Robinson Neethu, Aung Aung Phyo Wai, Cuntai Guan, “A Comparative Study of Mental States in 2D and 3D Virtual Environments Using EEG”, IEEE International Conference on Systems, Man, and Cybernetics (SMC) , Bari, Italy, 6-9 October, 2019.
  48. Duo Chen, Rosa So, Yi Ding, Neethu Robinson, Cuntai Guan, “Intracortical Activity Decoding of Motor Imagery Based on Deep Convolutional Neural Network: A Pilot Study”, 8th Graz Brain-Computer Interface Conference, Graz, Austria, Sept 16-20, 2019.
  49. Zhuo Zhang, Haihong Zhang, Lu Zhang, Cuntai Guan, “Exploring Cortex Connectivity Signal in Sensory Response to Odours”, 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Berlin, Germany, July 23–27, 2019. ViewPDF
  50. Fatemeh Fahimi, Zhuo Zhang, Wooi Boon Goh, Kai Keng Ang, Cuntai Guan, “Towards EEG Generation Using GANs for BCI Applications”, IEEE International Conference on Biomedical and Health Informatics (BHI), Chicago, USA, May 19-22, 2019. ViewPDF
  51. Duo Chen, Rosa So, Yi Ding, Cuntai Guan, “Motor-Controlled Spindle (MCS) Detection in BCI System”, 9th International IEEE EMBS Neural Engineering Conference (NER), San Francisco, USA on March 20-23, 2019.
  52. Aung Aung Phyo Wai, Zhiyan Goh, Shi De Foo, Cuntai Guan, “A Study of SSVEP Responses in Case of Overt and Covert Visual Attention with Different View Angles”, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, Oct 7-10, 2018. ViewPDF
  53. Ning Tang, Cuntai Guan, Kai Keng Ang, Kok Soon Phua, Effie Chew, “Motor imagery-assisted brain-computer interface for gait retraining in neurorehabilitation in chronic stroke”, Annals of Physical and Rehabilitation Medicine, 61, July, 2018. ViewPDF
  54. Zhuo Zhang, Chuanchu Wang, Kai Keng Ang, Aung Aung Phyo Wai, Cuntai Guan, “Spectrum and Phase Adaptive CCA for SSVEP-based Brain Computer Interface”, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, USA, July 17-21, 2018. ViewPDF
  55. Ravikiran Mane, Effie Chew, Kok Soon Phua, Kai Keng Ang, Vinod A. P., Cuntai Guan, “Quantitative EEG as Biomarkers for the Monitoring of Post-Stroke Motor Recovery in BCI and tDCS Rehabilitation”, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, USA, July 17-21, 2018 (Top 10 Student Paper Competition Finalists). ViewPDF
  56. Mengjiao Hu, Fang Ji, Zhongkang Lu, Weimin Huang, Reza Khosrowabadi, Ling Zhao, Kai Keng Ang, Kok Soon Phua, Fatima Ali Nasrallah, Kai-Hsiang Chuang, Mary C Stephenson, John Totman, Xudong Jiang, Effie Chew, Cuntai Guan, Juan Zhou, “Differential Amplitude of Low-Frequency Fluctuations in brain networks after BCI Training with and without tDCS in Stroke”, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, USA, July 17-21, 2018. ViewPDF
  57. Fatemeh Fahimi, Zhuo Zhang, Tih-Shih Lee, Cuntai Guan, “Deep Convolutional Neural Network for the Detection of Attentive Mental State in Elderly”, 7th International BCI Meeting, May 21-25, 2018, Pacific Grove, California, USA (Student Award) ViewPDF
  58. Ravikiran Mane, Effie Chew, Kok Soon Phua, Kai Keng Ang, Cuntai Guan, “EEG Predictors for Upper Limb Motor Recovery of Stroke Patients Undergoing BCI and tDCS Rehabilitation”, 7th International BCI Meeting, May 21-25, 2018, Pacific Grove, California, USA (Student Award) ViewPDF
  59. Tushar Chouhan, Kai Keng Ang, Vinod Prasad, Cuntai Guan, “Modelling Causal Connectivity from EEG for BCI with Multi-direction Hand Movements”, 7th International BCI Meeting, May 21-25, 2018, Pacific Grove, California, USA. ViewPDF
  60. Vikram Shenoy Handiru, Vinod Prasad, Kai Keng Ang, Effie Chew, Cuntai Guan, “Effects of Transcranial Direct Current Stimulation on the Motor-Imagery Brain-Computer Interface for Stroke Recovery: An EEG Source-Space study”,  2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, Canada, Oct 5-8, 2017. ViewPDF
  61. Huijuan Yang, Camilo Libedinsky, Cuntai Guan, Kai Keng Ang, Rosa So, “Boosting Performance in Brain-Machine Interface by Classifier-level Fusion based on Accumulative Training Models from Multi-day Data “, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, Korea, 11-15 July, 2017. ViewPDF
  62. Fatemeh Fahimi, Cuntai Guan, Wooi Boon Goh, Kai Keng Ang, Choon Guan Lim, Tih Shih Lee, “Personalized Features for Attention Detection in Children with Attention Deficit Hyperactivity Disorder “, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, Korea, 11-15 July, 2017. ViewPDF
  63. Tze Hui Koh, Camilo Libedinsky, Cuntai Guan, Kai Keng Ang, Rosa So, "Stop State Classification in Intracortical Brain-Machine-Interface “, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, Korea, 11-15 July, 2017. ViewPDF
  64. Cheng Feng Gary Lee, Cuntai Guan, Camilo Libedinsky, Rosa So, “Use of Wavelet Transform Coefficients for Spike Detection for a Robust Intracortical Brain Machine Interface”, 8th International IEEE EMBS Conference on Neural Engineering (NER), Shanghai, China, May 25-28, 2017. ViewPDF
  65. Zhongkang Lu, Weimin Huang, Cuntai Guan, “A comparison of DTI pre-processing tools on a dataset of chronic subcortical stroke rehabilitation patients”, 8th International IEEE EMBS Conference on Neural Engineering (NER), Shanghai, China, May 25-28, 2017. ViewPDF
  66. Siavash Sakhavi and Cuntai Guan, “Convolutional Neural Network-based Transfer Learning and Knowledge Distillation using Multi-Subject Data in Motor Imagery BCI”, 8th International IEEE EMBS Conference on Neural Engineering (NER), Shanghai, China, May 25-28, 2017. ViewPDF

  1. Vikram Handiru Shenoy, Vinod Prasad, Cuntai Guan, “Multi-Direction Hand Movement Classification Using EEG-Based Source Space Analysis”, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, 16-21 Aug, 2016. ViewPDF
  2. Rosa So, Camilo Libedinsky, Kai Keng Ang, Clement Lim, Kyaw Kyar Toe, Cuntai Guan, “Adaptive Decoding Using Local Field Potentials in a Brain-Machine Interface”, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, 16-21 Aug, 2016. ViewPDF
  3. Su Huang, Zhongkang Lu, Weimin Huang, Sankar Seramani, Boominathan Ramasamy, Sakthivel Sekar, Cuntai Guan, Kishore Bhakoo, “High-resolution in vivo Wistar rodent brain atlas based on T1 weighted image”, Proc. SPIE, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, March 29, 2016, doi:10.1117/12.2216067 
  4. Huijuan Yang , Cuntai Guan, Chuanchu Wang, Kai Keng Ang, Kok Soon Phua, See San Chok, Chrsitina Tang, Karen Chua, “On the Correlations of Motor Imagery of Swallow with Motor Imagery of Tongue Movements and Actual Swallow”, Advances in Cognitive Neurodynamics(V), pp 397-404, January 2016. ViewPDF
  5. Xinyang Li, Cuntai Guan, Kai Keng Ang, Chuanchu Wang, Zheng Yang Chin, Haihong Zhang, Choon Guan Lim and Tih Shih Lee, “An Ocular Artefacts Correction Method for Discriminative EEG Analysis Based on Logistic Regression”, European Signal Processing Conference (EUSIPCO), Nice, France, 31 Aug – 4 Sept, 2015. ViewPDF
  6. Siavash Sakhavi, Cuntai Guan, Shuicheng Yan, “Parallel Convolutional-Linear Neural Network For Motor Imagery Classification In Brain-Computer Interfaces”, European Signal Processing Conference (EUSIPCO), Nice, France, 31 Aug – 4 Sept, 2015. ViewPDF
  7. Wing Kin Tam, Rosa So, Cuntai Guan, Zhi Yang, “EC-PC spike detection for high performance Brain-Computer Interface”, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, 25-29 Aug, 2015. ViewPDF
  8. Gabriel Chew, Kai Keng Ang, Rosa So, Zhiming Xu, Cuntai Guan, “Combining Firing Rate and Spike-Train Synchrony Features in the Decoding of Motor Cortical Activity”, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, 25-29 Aug, 2015. ViewPDF
  9. Zhuo Zhang, Cuntai Guan, Ti Eu Chan, Juanhong Yu, Aung Aung Phyo Wai, Chuanchu Wang, Haihong Zhang, “Reduction in Time-to-Sleep through EEG Based Brain State Detection and Audio Stimulation”, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, 25-29 Aug, 2015. ViewPDF
  10. Zhongkang Lu, Kok Soon Phua, Weimin Huang, Xin Hong, Fatima Ali Nasrallah, Kai Hsiang Chuang, Cuntai Guan, “Combining EPI and motion correction for fMRI human brain images with big motion”, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, 25-29 Aug, 2015. ViewPDF
  11. Huijuan Yang, Siavash Sakhavi, Kai Keng Ang, Cuntai Guan, “On the Use of Convolutional Neural Networks and Augmented CSP Features for Multi-class Motor Imagery of EEG Signals Classification”, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, 25-29 Aug, 2015. ViewPDF
  12. Zhiming Xu, Cuntai Guan, Rosa So, Kai Keng Ang, Kyaw Kyar Toe, “Motor Cortical Adaptation Induced by Closed-Loop BCI”, 7th International IEEE EMBS Conference on Neural Engineering (NER), Montpellier, France, April 22-24, 2015. ViewPDF
  13. Atieh Bamdadian, Cuntai Guan, Kai Keng Ang, Jian-Xin Xu, “Towards improvement of MI-BCI performance of subjects with BCI deficiency”, 7th International IEEE EMBS Conference on Neural Engineering (NER), Montpellier, France, April 22-24, 2015. ViewPDF
  14. Rosa So, Zhiming Xu, Camilo Libedinsky, Kyaw Kyar Toe, Kai Keng Ang, Shih-Cheng Yen, Cuntai Guan, “Neural representations of movement intentions during brain-controlled self-motion”, 7th International IEEE EMBS Conference on Neural Engineering (NER), Montpellier, France, April 22-24, 2015. ViewPDF
  15. Huijuan Yang, Cuntai Guan, Kai  Keng  Ang, Kok Soon  Phua, Chuanchu  Wang, “Quality Assessment of EEG Signals based on Statistics of Signal Fluctuations”, IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, Oct 5-8, 2014. ViewPDF
  16. Kavitha P Thomas, Vinod A Prasad, Cuntai Guan, “Evaluation of EEG features during Overt Visual Attention during Neurofeedback Game”, IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, Oct 5-8, 2014. ViewPDF
  17. Zhuo Zhang, Cuntai Guan, Ti Eu Chan, Juanhong Yu, Andrew Keong Ng, Chee Keong Kwoh, “Automatic Sleep Onset Detection Using Single EEG Sensor”, 36th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Chicago, Illinois, USA on August 26-30, 2014. ViewPDF
  18. Huijuan Yang, Cuntai Guan, Kai Keng Ang, Koksoon Phua, Chuanchu Wang, “Selection of Effective EEG Channels in Brain Computer Interfaces based on Inconsistencies of Classifiers”, 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, Illinois, USA on August 26-30, 2014. ViewPDF
  19. Zhiming Xu, Rosa So, Kyaw Kyar Toe, Kai Keng Ang, Cuntai Guan, “On the Asynchronously Continuous Control of Mobile Robot Movement By Motor Cortical Spiking Activity”, 36th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Chicago, Illinois, USA on August 26-30, 2014. ViewPDF
  20. Juanhong Yu, Kai Keng Ang, Huijuan Yang, Cuntai Guan, “Cortical Activation of Passive Hand Movement Using Haptic Knob:  a Preliminary Multi-channel fNIRS Study”, 36th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Chicago, Illinois, USA on August 26-30, 2014. ViewPDF
  21. Haihong Zhang, Yongwei Zhu, Jayachandran Maniyeri, Cuntai Guan, “Detection of variations in cognitive workload using multi-modality physiological sensors and a large margin unbiased regression machine”, 36th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Chicago, Illinois, USA on August 26-30, 2014. ViewPDF
  22. Kai Keng Ang, Juanhong Yu, Cuntai Guan, “Single-trial classification of NIRS data from prefrontal cortex during working memory tasks”, 36th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Chicago, Illinois, USA on August 26-30, 2014. ViewPDF
  23. Xinyang Li, Cuntai Guan, Kai Keng Ang, Haihong Zhang, Heng Ong Sim, “Spatial Filter Adaptation Based on the Divergence Framework for Motor Imagery EEG Classification”, 36th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Chicago, Illinois, USA on August 26-30, 2014. ViewPDF
  24. Yongwei Zhu, Siang Fook Victor Foo, Jianzhong Hao, Jayachandran Maniyeri, Cuntai Guan, Haihong Zhang, Jiliang Eugene Phua, Jit Biswas, “Heart Rate Estimation from FBG Sensors using Cepstrum Analysis and Sensor Fusion”, 36th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Chicago, Illinois, USA on August 26-30, 2014.  ViewPDF
  25. Zheng Yang Chin, Kai Keng Ang, Chuanchu Wang, Cuntai Guan, "Discriminative Channel Addition and Reduction for Filter Bank Common Spatial Pattern in Motor Imagery BCI”, 36th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Chicago, Illinois, USA on August 26-30, 2014.  ViewPDF
  26. Xinyang Li, Cuntai Guan, Kai Keng Ang, Haihong Zhang and Sim Heng Ong, “Spatial Filter Adaptation based on Geodesic-Distance for Motor EEG Classification”, IEEE World Congress on Computational Intelligence (IEEE WCCI), July 6-11, 2014, Beijing. ViewPDF
  27. Xin Hong, Yan Zhi Ong, Irvin Teh, Fatima Ali Nasrallah, Zhong Kang Lu, Wei Peng Teo, Cuntai Guan, Kai Keng Ang, Kok Soon Phua, Ling Zhao, Effie Chew, and Kai-Hsiang Chuang, “Brain connectivity and CBF changes following motor training by MI-BCI combined with tDCS in stroke patients”, 21st Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM), 2013 (oral). (ISMRM summa cum laude MERIT AWARD, given to the best 3% papers)  
  28. Andrew Keong Ng, Kai Keng Ang, Cuntai Guan, “Automatic Selection of Neuronal Spike Detection Threshold via Smoothed Teager Energy Histogram”, 6th International IEEE EMBS Conference on Neural Engineering (NER), 6-8 Nov, 2013, San Diego. ViewPDF
  29. Kavitha P Thomas, Vinod Achutavarrier Prasad, Cuntai Guan, “Enhancement of Attention and Cognitive Skills using EEG based Neurofeedback Game”, 6th International IEEE EMBS Conference on Neural Engineering (NER), 6-8 Nov, 2013, San Diego. ViewPDF
  30. Yaozhang Pan, Cuntai Guan, Juanhong Yu, Kai Keng Ang, Ti Eu Chan, “Common Frequency Pattern for Music Preference Identification using Frontal EEG”, 6th International IEEE EMBS Conference on Neural Engineering (NER), 6-8 Nov, 2013, San Diego. ViewPDF
  31. Juanhong Yu, Kai Keng Ang, Cuntai Guan, Chuanchu Wang, “A multimodal fNIRS and EEG-based BCI study on motor imagery and passive movement”, 6th International IEEE EMBS Conference on Neural Engineering (NER), 6-8 Nov, 2013, San Diego. ViewPDF
  32. Huijuan Yang, Cuntai Guan, Kai Keng Ang and Chuanchu Wang, “Detection of Motor Imagery of Swallow With Model Adaptation: Swallow Or Tongue?”, International Brain-Computer Interface Meeting (BCI Meeting), 3-7 Jun 2013, Asilomar, California. ViewPDF
  33. Kai Keng Ang, Cuntai Guan, Kok Soon Phua, Chuanchu Wang, Ling Zhao, Wei Peng Teo and Effir Chew, “Facilitating effects of transcranial direct current stimulation on EEG-based motor imagery BCI for stroke rehabilitation”, International Brain-Computer Interface Meeting (BCI Meeting), 3-7 Jun 2013, Asilomar, California. ViewPDF
  34. Christian Herff, Dominic Heger, Felix Putze, Cuntai Guan and Tanja Schultz, “Self-paced BCI with NIRS based on speech activity”, International Brain-Computer Interface Meeting (BCI Meeting), 3-7 Jun 2013, Asilomar, California. ViewPDF
  35. Atieh Bamdadian, Cuntai Guan, Kai Keng Ang, Jianxin Xu, “Predicting the performance of a MI-based BCI based on pre-cue EEG data”, International Brain-Computer Interface Meeting (BCI Meeting), 3-7 Jun 2013, Asilomar, California (The Most Innovative Poster Paper Award) . ViewPDF
  36. Reza Khosrowabadi , Effie Chew, Irvin Teh, Kai Keng Ang, Kok Soon Phua, Kai Hiang Chuang, Cuntai Guan  and Helen Zhou, “Functional connectivity enhancement correlates with motor recovery after rehabilitation”, Annual meeting of the Organization for Human Brain Mapping (HBM), 16-20 June 2013, Seattle.
  37. Siau Juinn Goh, Tih Shih Lee, Shin Yi Quek, Cuntai Guan, Haihong Zhang, Chuanchu Wang, Zheng Yang Chin, Yin Bun Cheung, Ranga Krishnan, "Efficacy and Usability of a Brain-Computer Interface System in Improving Cognition in Elderly", Alzheimer’s Association International Conference (AAIC), July 13-18, 2013, Boston, USA.
  38. Atieh Bamdadian, Cuntai Guan, Kai Keng Ang, Jian-Xin Xu, “Improving session-to-session transfer performance of motor imagery-based BCI using Adaptive Extreme Learning Machine”, 35th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), 3-7 July 2013, Osaka, Japan.  ViewPDF
  39. Kai Keng Ang, Cuntai Guan, Karen Sui Geok Chua, Koksoon Phua, Chuanchu Wang, Zheng Yang Chin, Longjiang Zhou, Ka Yin, Christina Tang, Gopal Joseph Ephraim, Christopher Wee Keong Kuah, “A clinical study of motor imagery BCI performance in stroke by including calibration data from passive movement”, 35th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), 3-7 July 2013, Osaka, Japan. ViewPDF
  40. Sau Wai Tung, Cuntai Guan, Kai Keng Ang, Koksoon Phua, Chuanchu Wang, Ling Zhao, Wei Peng Teo, Effie Chew, “Motor imagery BCI for upper limb stroke rehabilitation: an evaluation of the EEG recordings using coherence analysis”, 35th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), 3-7 July 2013, Osaka, Japan. ViewPDF
  41. Andrew Keong Ng, Kai Keng Ang, Keng Peng Tee, Cuntai Guan, “Optimizing Low-Frequency Common Spatial Pattern Features for Multi-Class Classification of Hand Movement Directions”, 35th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), 3-7 July 2013, Osaka, Japan. 
  42. Kavitha P Thomas, Vinod Achutavarrier Prasad, Cuntai Guan, “Design of an Online EEG based Neurofeedback Game for Enhancing Attention and Memory”, 35th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), 3-7 July 2013, Osaka, Japan.  ViewPDF
  43. Huijuan Yang, Cuntai Guan, Kai Keng Ang, Chuanchu Wang, Koksoon Phua, Ka Yin, Christina Tang, Longjiang Zhou, “Feature Consistency-based Model Adaptation in Session-to-Session Classification: A Study Using Motor Imagery of Swallow EEG Signals”, 35th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), 3-7 July 2013, Osaka, Japan. ViewPDF
  44. Xin Yi Lee, Daniel Shuen Sheng Fung, Choon Guan Lim, Tih-Shih Lee, Cuntai Guan, Shih-Jen Weng, Yoon Phaik Ooi, Zheng Yang Chin, Chuanchu Wang, Haihong Zhang, Ranga R Krishnan, “A Preliminary Investigation of Aggression in Children with ADHD Following a Brain-Computer Interface Intervention”, 4th World Congress on ADHD, 6-9 June, 2013, Milan, Italy.
  45. Xinyang Li, Haihong Zhang, Cuntai Guan, Sim-Heng Ong, Yaozhang Pan, Kai Keng Ang, “Discriminative Learning of Signal Propagation and Spatial Patterns for Analysis of Motor Imagery EEG”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, 26-31 May 2013. ViewPDF
  46. Huijuan Yang, Cuntai Guan, Chuan Chu Wang, Kai Keng Ang, “Maximum Dependency and Minimum Redundancy-based Channel Selection for Motor Imagery of Walking EEG Signal Detection”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, 26-31 May 2013. ViewPDF
  47. Sidath Ravindra Liyanage, Cuntai Guan, HaiHong Zhang, Kai Keng Ang, JianXin Xu, Tong Heng Lee, “Error Entropy Based Adaptive Kernel Classification for Non-Stationary EEG Analysis”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, 26-31 May 2013. ViewPDF
  48. Zhiming Xu, Kai Keng Ang, Cuntai Guan, “Neural Decoding of Movement Targets by Unsorted Spike Trains”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, 26-31 May 2013. ViewPDF
  49. Zhiming Xu, Kai Keng Ang, Cuntai Guan and Thai Hoa Huynh, “Neural Representation and Identification of Reaching Targets by Spike Trains in Motor Cortex, IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, 16-19 Apr, 2013.
  50. Zheng Yang Chin, Kai Keng Ang, Chuanchu Wang and Cuntai Guan, “Navigation in a Virtual Environment using Multi-class Motor Imagery Brain-Computer Interface”, IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, 16-19 Apr, 2013.
  51. Christian Herff, Dominic Heger, Felix Putze, Cuntai Guan and Tanja Schultz, “Cross-subject classification of speaking modes using fNIRS”, International Conference on Neural Information Processing (ICONIP), Doha, November 12-15, 2012. Lecture Notes in Computer Science, vol 7664, pp 417-424. ViewPDF
  52. Irvin Teh, Cuntai Guan, Kai Keng Ang, Kok Soon Phua, Ling Zhao, Effie Chew, “fMRI in stroke following tDCS and MI- BCI rehabilitation”, Proc 20th Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM), 2012.  
  53. Mengling Feng, Liang Yu Loy, Feng Zhang, Cuntai Guan, “Artifact Correction with Robust Statistics for Non-Stationary Intracranial Pressure Signal Monitoring”, International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, November 11-15, 2012. ViewPDF
  54. Huijuan Yang, Cuntai Guan, Kai Keng Ang, Haihong Zhang, Chuanchu Wang, “Iterative Clustering and Support Vectors-based High-Confidence Query Selection for Motor Imagery EEG Signals Classification”, International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, November 11-15, 2012.  ViewPDF
  55. Feng Zhang, Mengling Feng, Liang Yu Loy, Zhuo Zhang, Cuntai Guan, “Online ICP Forecast for Patients with Traumatic Brain Injury”, International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, November 11-15, 2012.  ViewPDF
  56. Reza Khosrowabadi , Effie Chew, Irvin Teh, Kai Keng Ang, Kok Soon Phua, Kai Hiang Chuang, Cuntai Guan  and Helen Zhou “Intrinsic functional connectivity disruptions in primary motor, salience, and default-mode networks after stroke”, Annual meeting of the Society for Neuroscience (SfN), 13-17 Oct, 2012, New Orleans.
  57. Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek, “Omitting the Intra Session Calibration in EEG-based Brain Computer Interface Used for Stroke Rehabilitation”, 34th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), San Diego, USA, Aug 28 – Sept 1, 2012. ViewPDF
  58. Andrew Keong Ng, Cuntai Guan, “Impact of Obstructive Sleep Apnea on Sleep-Wake Stage Ratio”, 34th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), San Diego, USA, Aug 28 – Sept 1, 2012. ViewPDF
  59. Christian Herff, Dominic Heger, Felix Putze, Cuntai Guan, Tanja Schultz, “Speaking Mode Recognition from Functional Near Infrared Spectroscopy”, 34th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), San Diego, USA, Aug 28 – Sept 1, 2012. ViewPDF
  60. Mengling Feng, Zhuo Zhang, Cuntai Guan, Nicolas Kon Kam King, Boon Chuan Pang, Beng Ti Ang, David Roi Hardoon, “Utilization of Temporal Information for Intracranial Pressure Development Trend Forecasting in Traumatic Brain Injury”, 34th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), San Diego, USA, Aug 28 – Sept 1, 2012. ViewPDF
  61. Juanhong Yu, Yaozhang Pan, Kai Keng Ang, Cuntai Guan, Darren John Leamy, “Prefrontal Cortical Activation during Arithmetic Processing Differentiated by Cultures: A Preliminary fNIRS Study”, 34th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), San Diego, USA, Aug 28 – Sept 1, 2012. ViewPDF
  62. Atieh Bamdadian, Cuntai Guan, Kai Keng Ang, Jian-Xin Xu, “Online Semi-Supervised Learning with KL Distance Weighting for Motor Imagery-based BCI”, 34th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), San Diego, USA, Aug 28 – Sept 1, 2012. ViewPDF
  63. Kai Keng Ang, Cuntai Guan, Koksoon Phua, Chuanchu Wang, Irvin Teh, Chang Wu Chen, Effie Chew, “Transcranial Direct Current Stimulation and EEG-based Motor Imagery BCI for Upper Limb Stroke Rehabilitation”, 34th Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), San Diego, USA, Aug 28 – Sept 1, 2012. ViewPDF
  64. Yaozhang Pan, Cuntai Guan, Kai Keng Ang, Kok Soon Phua, Huijuan Yang, Dong Huang and Shih-Hui Lim, “Seizure Detection based on Spatiotemporal Correlation and Frequency Regularity of Scalp EEG”, IEEE World Congress on Computational Intelligence (WCCI), Brisbane, Australia, June 10-15, 2012.  ViewPDF
  65. Sau Wai Tung, Chai Quek and Cuntai Guan, “Traffic Modeling and Identification using a Self-Adaptive Fuzzy Inference Network”, IEEE World Congress on Computational Intelligence (WCCI), Brisbane, Australia, June 10-15, 2012. ViewPDF
  66. Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang and Chai Quek, “Robust EEG Channel Selection across Sessions in Brain-Computer Interface Involving Stroke Patients”, IEEE World Congress on Computational Intelligence (WCCI), Brisbane, Australia, June 10-15, 2012. ViewPDF
  67. Kai Keng Ang, Juanhong Yu and Cuntai Guan, “Extracting and selecting discriminative features from high density NIRS-based BCI for numerical cognition”, IEEE World Congress on Computational Intelligence (WCCI), Brisbane, Australia, June 10-15, 2012. ViewPDF
  68. Sidath Ravindra Liyanage, Cuntai Guan, Haihong Zhang, Kai Keng Ang, Jian-Xin Xu and Tong Heng Lee, “Dynamically Weighted Classification with Clustering to Tackle Non-stationarity in Brain Computer Interfacing”, IEEE World Congress on Computational Intelligence (WCCI), Brisbane, Australia, June 10-15, 2012. ViewPDF
  69. Huijuan Yang, Cuntai Guan, Kai Keng Ang, Chuan Chu Wang, Kok Soon Phua and Juanhong Yu, “Dynamic Initiation and Dual-Tree Complex Wavelet Feature-based Classification of Motor Imagery of Swallow EEG Signals”, IEEE World Congress on Computational Intelligence (WCCI), Brisbane, Australia, June 10-15, 2012. ViewPDF
  70. Dong Huang, Cuntai Guan, Kai Keng Ang, Haihong Zhang and Yaozhang Pan, “Asymmetric spatial pattern for EEG-based emotion detection”, IEEE World Congress on Computational Intelligence (WCCI), Brisbane, Australia, June 10-15, 2012. ViewPDF
  71. Neethu Robinson, Vinod Achutavarrier Prasad, Cuntai Guan, Kai Keng Ang and Keng Peng Tee, “A Modified Wavelet-Common Spatial Pattern Method for Decoding Hand Movement Directions in Brain Computer Interfaces”, IEEE World Congress on Computational Intelligence (WCCI), Brisbane, Australia, June 10-15, 2012. ViewPDF
  72. Karen Chua, Cuntai Guan, Kai Keng Ang, Christopher Kuah, Kok Soon Phua, Chuanchu Wang, Haihong Zhang, "Brain-Computer Interface-based (BCI) based arm robotic rehabilitation for Stroke: A feasibility study and randomized controlled trial", Brain Injury, vol. 26, no. 4-5, pp. 492-493, 2012.
  73. Effie Chew, Irvin Teh, Kai Keng Ang, Kok Soon Phua, Ling Zhao, Wu Chang, Karen Chua, and Cuntai Guan, "Combined transcranial direct current stimulation and brain-computer interface rehabilitation-a new approach to motor rehabilitation", Brain Injury, vol. 26, no. 4-5, pp. 782-782, 2012.
  74. Dong Huang, Haihong Zhang, Kaikeng Ang, Cuntai Guan, Yaozhang Pan, Chuanchu Wang, Juanhong Yu, "Fast Emotion Detection from EEG Using Asymmetric Spatial Filtering”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Japan,March 25-30, 2012. ViewPDF
  75. Huijuan Yang, Cuntai Guan, Kai Keng Ang, Yaozhang Pan, Haihong Zhang, “Cluster Impurity and Forward-Backward Error Maximization-Based Active Learning For EEG Signals Classification”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Japan,March 25-30, 2012. ViewPDF
  76. Kai Keng Ang, Juanhong Yu, Cuntai Guan, “Extracting Effective Features from High Density NIRS-Based BCI for Assessing Numerical Cognition”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Japan, March 25-30, 2012. ViewPDF
  77. Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek, “Multi-Frequency Band Common Spatial Pattern with Sparse Optimization in Brain-Computer Interface”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Japan, March 25-30, 2012. ViewPDF
  78. Neethu Robinson, Vinod A Prasad, Cuntai Guan, Kai Keng Ang, Keng Peng Tee, “A Wavelet-CSP Method to Classify Hand Movement Directions in EEG based BCI System”, International Conference on Information, Communications and Signal Processing (ICICS), Singapore, 13-16 Dec, 2011.
  79. Mengling Feng, Liangyu Loy, Feng Zhang, Cuntai Guan, “Artifact Removal for Intracranial Pressure Monitoring Signals: A Robust Solution with Signal Decomposition”, 33rd Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Boston, Aug 30 – Sept 3, 2011. ViewPDF
  80. Kai Keng Ang, Cuntai Guan, Chuanchu Wang, Koksoon Phua, Adrian Hock Guan Tan, Zheng Yang Chin, “Calibrating EEG-based motor imagery brain-computer interface from passive movement”, 33rd Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Boston, Aug 30 – Sept 3, 2011. ViewPDF
  81. Feng Zhang, Mengling Feng, Sinno Jialin Pan, Liangyu Loy, Wenyuan Guo, Zhuo Zhang, Pei Loon Chin, Cuntai Guan, Nicolas Kon Kam King, Beng Ti Ang, “Artificial Neural Network based Intracranial Pressure Mean Forecast Algorithm for Medical Decision Support”, 33rd Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Boston, Aug 30 – Sept 3, 2011.  ViewPDF
  82. Mengling Feng, Zhuo Zhang, Feng Zhang, Yu Ge, Liangyu Loy, Wenyuan Guo, Pei Loon Chin, Nicolas Kon Kam King, Beng Ti Ang, Cuntai Guan, “iSyNCC: An Intelligent System for Patient Monitoring & Clinical Decision Support in Neuro-Critical-Care”, 33rd Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Boston, Aug 30 – Sept 3, 2011. ViewPDF
  83. Zheng Yang Chin, Kai Keng Ang, Cuntai Guan, Chuanchu Wang and Haihong Zhang, “Filter Bank Feature Combination (FBFC) approach for Brain-Computer Interface”, International Joint Conference on Neural Networks (IJCNN), San Jose, California, July 31 - August 5, 2011.  ViewPDF
  84. Kai Keng Ang, Zheng Yang Chin, Haihong Zhang and Cuntai Guan, “Filter Bank Common Spatial Pattern (FBCSP) algorithm using online adaptive and semi-supervised learning”, International Joint Conference on Neural Networks (IJCNN), San Jose, California, July 31 - August 5, 2011. ViewPDF
  85. Sau Wai Tung, Chai Quek and Cuntai Guan, “FAPOP: Feature Analysis Enhanced Pseudo Outer-Product Fuzzy Rule Identification System”, IEEE International Conference on Fuzzy Systems, Taiwan, 27-30 June, 2011. ViewPDF
  86. Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Hiok Chai Quek, ”Spatially Sparsed Common Spatial Pattern To Improve BCI Performance”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, May 22-27, 2011. ViewPDF
  87. Kai Keng Ang, Zheng Yang Chin, Haihong Zhang, Cuntai Guan, “Composite Filter Bank Common Spatial Pattern for motor imagery-based Brain-Computer Interface”, IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), Paris, France, 11-15 April 2011. 
  88. Kai Keng Ang, Cuntai Guan, Karen Sui Geok Chua, Beng Ti Ang, Christopher Wee Keong Kuah, Chuanchu Wang, Koksoon Phua, Zheng Yang Chin, Haihong Zhang, “Clinical study of neurorehabilitation in stroke using EEG-based motor imagery brain-computer interface with robotic feedback”, 32nd Annual  International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Buenos  Aires, Argentina, 1- 4 September, 2010.  ViewPDF
  89. Zheng Yang Chin, Kai Keng Ang, Chuanchu Wang, Cuntai Guan, “Online Performance Evaluation of Motor Imagery BCI with Augmented-Reality Virtual Hand Feedback”, 32nd Annual  International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Buenos  Aires, Argentina, 1- 4 September, 2010. ViewPDF
  90. Yuanqing Li, Jinyi Long, Tianyou Yu, Zhuliang Yu, Chuanchu Wang, Haihong Zhang, Cuntai Guan, “A Hybrid BCI System for 2-D Asynchronous Cursor Control ”, 32nd Annual  International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Buenos  Aires, Argentina, 1- 4 September, 2010. ViewPDF
  91. Adrian Hock Guan Tan, Keng He Kong, Chengyap Shee, Chuanchu Wang, Cuntai Guan, Wei Tech Ang,  “Post-Acute Stroke Patients Use a Brain-Computer Interface to Activate Electrical Stimulation”, 32nd Annual  International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Buenos  Aires, Argentina, 1- 4 September, 2010.  ViewPDF
  92. Sidath Ravindra Liyanage, Jianxin Xu, Cuntai Guan, Kai Keng Ang and Tong Heng Lee , “Motion Detection in Multi-Class Motor Imagery using Common Spatial Patterns Based on Joint Approximate Diagonalization”, IASTED International Conference on Control and Applications (ICCA), Alberta, Canada, Jul 15-17, 2010.
  93. Haihong Zhang, Cuntai Guan, “An Information Theoretic Linear Discriminant Analysis Method”, International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, August 23-26, 2010. ViewPDF
  94. Fabien Lotte, Cuntai Guan, “Spatially Regularized Common Spatial Patterns for EEG Classification”, International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, August 23-26, 2010. ViewPDF
  95. Abdul Rehman Satti, Cuntai Guan, Damien Coyle, Girijesh Prasad, “A Covariate Shift Minimisation Method to Alleviate Non-Stationarity Effects for an Adaptive Brain-Computer Interface”, International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, August 23-26, 2010. ViewPDF
  96. Kai Keng Ang, Cuntai Guan, Kerry Lee, Jie Qi Lee,Shoko Nioka, Britton Chance, “A Brain-computer Interface for Mental Arithmetic Task from Single-trial Near-infrared Spectroscopy Brain Signals”,International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, August 23-26, 2010.  ViewPDF
  97. Kai Keng Ang, Cuntai Guan, Kerry Lee, Jie Qi Lee, Shoko Nioka and Britton Chance, "Application of Rough Set­Based Neuro­Fuzzy System in NIRS­Based BCI for Assessing Numerical Cognition in Classroom", IEEE World Congress on Computational Intelligence (WCCI), Barcelona, 18-23 July, 2010. ViewPDF
  98. Sidath Ravindra Liyanage, Jianxin Xu, Cuntai Guan, Kai Keng Ang and Tong Heng Lee, "EEG Signal Separation for Multi­Class Motor Imagery using Common Spatial Patterns Based on Joint Approximate Diagonalization", IEEE World Congress on Computational Intelligence (WCCI), Barcelona, 18-23 July, 2010. ViewPDF
  99. Haihong Zhang, Chuanchu Wang, Cuntai Guan, Mengjiao Wu, Conghao Wang, Ruilong Lv, Siti N.B. Mohamed, Chan Siew Mei, Lijun Jiang, “A New Modality of Brain Computer Interfaces for 2D Robot Control”, International Symposium on Robotics and Intelligent Sensors (IRIS), Nagoya, Japan, 8-11 March, 2010. 
  100. Kavitha P Thomas, Cuntai Guan, Lau Chiew Tong, Vinod Achutavarrier Prasad, " A Study on the Impact of Spectral Variability in Brain-Computer Interface", IEEE International Symposium on Circuits and Systems (ISCAS), Paris, France, 30 May - 2 June, 2010. ViewPDF
  101. Fabien Lotte, Cuntai Guan, “Learning from Other Subjects Helps Reducing Brain-Computer”, IEEE Intl Conf Acoustics, Speech, and Signal Processing (ICASSP), Dallas, US, 14-19 March, 2010.  ViewPDF
  102. Haihong Zhang, Cuntai Guan, Chuanchu Wang, “Towards optimum linear transformation under zero-mean Gaussian mixtures for detection of motor imagery EEG”, IEEE Intl Conf Acoustics, Speech, and Signal Processing (ICASSP), Dallas, US, 14-19 March, 2010. ViewPDF
  103. Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek, "Optimizing EEG Channel Selection by Regularized Spatial Filtering and Multi Band Signal Decomposition”, IASTED Intl Conf Biomedical Engineering (BioMed), Innsbruck, Austria, 17-19 Feb 2010. ViewPDF
  104. Sidath R Liyanage, Jianxin Xu, Cuntai Guan, Kai Keng Ang, Cishen Zhang, Lee T.H, “Classification of Self-Paced Finger Movements with EEG Signals Using Neural Network and Evolutionary Approaches”, IEEE Intl Conf on Control and Automation (ICCA), Christchurch, New Zealand, 9-11 Dec 2009.
  105. Fabien Lotte, Cuntai Guan, “An Efficient P300-based Brain-Computer Interface with Minimal Calibration Time”, Workshop on Assistive Machine Learning for People with Disabilities (NIPS workshop), Vancouver, 7-10 Dec, 2009. ViewPDF
  106. Haihong Zhang, Cuntai Guan, Chuanchu Wang, Kai Keng Ang, “Spatio-spectral feature selection based on robust mutual information estimate for brain computer interfaces”, The 31st Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Minneapolis, USA, Sept. 2-6, 2009.  ViewPDF
  107. Fabien Lotte, Cuntai Guan, Kai Keng Ang, “Comparison of Designs Towards a Subject-Independent Brain-Computer Interface based on Motor Imagery” (Invited) The 31st Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Minneapolis, USA, Sept. 2-6, 2009. ViewPDF
  108. Kai Keng Ang, Cuntai Guan, Karen Sui Geok Chua, Beng Ti Ang, Christopher Wee Keong Kuah, Chuanchu Wang, Koksoon Phua, Zheng Yang Chin, Haihong Zhang, “A clinical study of motor imagery brain-computer interface-based upper limb robotic rehabilitation for stroke”, The 31st Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Minneapolis, USA, Sept. 2-6, 2009. ViewPDF
  109. Kai Keng Ang, Zheng Yang Chin, Haihong Zhang, Cuntai Guan, “Robust Filter Bank Common Spatial Pattern (RFBCSP) in motor-imagery-based Brain-Computer Interface”, The 31st Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Minneapolis, USA, Sept. 2-6, 2009. ViewPDF
  110. Zheng Yang Chin, Kai Keng Ang, Chuanchu Wang, Cuntai Guan, Haihong Zhang, “Multi-class Filter Bank Common Spatial Pattern for Four-Class Motor Imagery BCI ”, The 31st Annual International Conference of the IEEE Engineering in  Medicine and Biology Society (EMBC), Minneapolis, USA, Sept. 2-6, 2009. ViewPDF
  111. Sau Wai Tung, Chai Quek, and Cuntai Guan, "T2-HyFIS-Yager: Type 2 Hybrid Neural Fuzzy Inference System Realizing Yager Inference", IEEE International Conference on Fuzzy Systems (FUZZY), Korea, Aug 20-24, 2009. ViewPDF
  112. Chuanchu Wang, Cuntai Guan, Kok Soon Phua, Kai Keng Ang, Haihong Zhang,Karen Sui Geok Chua, Beng Ti Ang, Christopher Wee Keong Kuah, "A Feasibility Study of Non-Invasive Motor-Imagery BCI for Stroke Patients’ Robotic Rehabilitation", International IEEE EMBS Conference on Neural Engineering (NER), Turkey, Apr 29 - May 2, 2009. ViewPDF
  113. Brahim Hamadicharef, Haihong Zhang, Cuntai Guan, Chuanchu Wang, Kok Soon Phua, Keng Peng Tee, Kai Keng Ang, "Learning EEG-Based Spectral-Spatial Patterns for Attention Level Measurement", IEEE International Symposium on Circuits and Systems (ISCAS), Taiwan, May 24-27, 2009. ViewPDF
  114. Kavitha P Thomas, Cuntai Guan, Lau Chiew Tong, Vinod Achutavarrier Prasad, "Discriminative Filterbank Selection and EEG Information Fusion for Brain Computer Interface", IEEE International Symposium on Circuits and Systems (ISCAS), Taiwan, May 24-27, 2009. ViewPDF
  115. Yuanqing Li, Zhuliang Yu, Praneeth Namburi, Cuntai Guan, "Voxel Selection in fMRI Data Analysis: A Sparse Representation Method", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taiwan, 19-24 April, 2009. ViewPDF
  116. Sau Wai Tung, Chai Quek, and Cuntai Guan,"HyFIS-Yager-gDIC: A Self-Organizing Hybrid Neural Fuzzy Inference System Realizing Yager Inference", International Conference on Neural Information Processing (ICONIP), Auckland, New Zealand, November 25-28, 2008.  
  117. Keng Peng Tee, Cuntai Guan, Kai Keng Ang, Haihong Zhang, “Augmenting Cognitive Functions in Robot-Assisted Motor Rehabilitation”, IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), Scottsdale, US, 19-22 Oct, 2008. ViewPDF
  118. Shijian Lu, Cuntai Guan, “Subject-Independent Brain Computer Interface through boosting”, International Conference on Pattern Recognition (ICPR), Florida, US, 8-11 Dec, 2008. ViewPDF
  119. Kai Keng Ang, Cuntai Guan, Karen Sui Geok Chua, Beng Ti Ang, Christopher Wee Keong Kuah, Chuanchu Wang, Koksoon Phua, Zheng Yang Chin, Haihong Zhang, "A clinical evaluation of non-invasive motor imagery-based brain computer interface in stroke", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vancouver, Canada, August 20-24, 2008. ViewPDF
  120. Kai Keng Ang, Cuntai Guan, Karen Sui Geok Chua, Beng Ti Ang, Christopher Wee Keong Kuah, Chuanchu Wang, Koksoon Phua, Zheng Yang Chin, Haihong Zhang, "A clinical evaluation on the spatial patterns of non-invasive motor imagery-based brain computer interface in stroke", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vancouver, Canada, August 20-24, 2008. ViewPDF
  121. Kavitha P. Thomas, Cuntai Guan, Lau Chiew Tong, Vinod Achutavarrier Prasad, "An Adaptive Filter Bank for Motor Imagery based Brain Computer Interface", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vancouver, Canada, August 20-24, 2008. ViewPDF
  122. Shijian Lu, Cuntai Guan, Haihong Zhang, "Unsupervised Brain Computer Interface based on Inter-Subject Information", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vancouver, Canada, August 20-24, 2008. ViewPDF
  123. Zheng Yang Chin, Kai Keng Ang, Cuntai Guan, "Multiclass Voluntary Facial Expression Classification based on Filter Bank Common Spatial Pattern", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vancouver, Canada, August 20-24, 2008. ViewPDF
  124. Shijian Lu, Cuntai Guan, Haihong Zhang, "Learning Adaptive Subject-independent P300 Models for EEG-based Brain-computer Interfaces", 2008 IEEE International Joint Conference on Neural Networks -IJCNN (IEEE World Congress on Computational Intelligence), Hong Kong, 2-6 June, 2008. ViewPDF
  125. Ang Kai Keng, Chin Zheng Yang, Haihong Zhang, Cuntai Guan, "Filter Bank Common Spatial Pattern (FBCSP) in Brain-computer Interface", 2008 IEEE International Joint Conference on Neural Networks -IJCNN (IEEE World Congress on Computational Intelligence), Hong Kong, 2-6 June, 2008. ViewPDF
  126. Yuanqing Li, Chuanchu Wang, Haihong Zhang, Cuntai Guan, " An EEG-based BCI System for 2D Cursor Control", IEEE World Congress on Computational Intelligence (WCCI), Hong Kong, 2-6 June, 2008. ViewPDF
  127. Yuanqing Li, Praneeth Namburi, Cuntai Guan, Jianfeng Feng, “Voxel selection for fMRI data based on sparse representation”, Human Brain Mapping (HBM), Melbourne, 15-19 June, 2008.
  128. Andrian Tan, Haihong Zhang, Chuanchu Wang, C. Y. Shee, Wei Tech Ang, Cuntai Guan, "Arm Flexion and Extension Exercises using a Brain-Computer Interface and Functional Electrical Stimulation", The IASTED International Conference on Biomedical Engineering (BioMED), Innsbruck, Austria, Feb 13-15, 2008.
  129. Haihong Zhang, Chuanchu Wang, Cuntai Guan, "Time-Variant Spatial Filtering for Motor Imagery Classification", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Lyon, France, Aug 23- 26, 2007. ViewPDF
  130. Chuanchu Wang, Haihong Zhang, Koksoon Phua, Tran Huy Dat, Cuntai Guan, "Introduction to NeuroComm: a Platform for Developing Real-Time EEG-based Brain-Computer Interface Applications", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Lyon, France, Aug 23- 26, 2007. ViewPDF
  131. Haihong Zhang, Cuntai Guan, Chuanchu Wang, "Towards Asynchronous Brain-computer Interfaces: A P300-based Approach with Statistical Models", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Lyon, France, Aug 23- 26, 2007. ViewPDF
  132. Brice Rebsamen, Etienne Burdet, Cuntai Guan, Chee Leong Teo, Qiang Zeng, Marcelo Ang, Christian Laugier, "Controlling a wheelchair using a BCI with low information transfer rate", IEEE International Conference on Rehabilitation Robotics (ICORR), Holland, 13-15 June 2007. ViewPDF
  133. Quadrianto Novi, Cuntai Guan, Tran Huy Dat, and Ping Xue, "Sub-band Common Spatial Pattern (SBCSP) for Brain-Computer Interface", International IEEE EMBS Conference on Neural Engineering (NER), Hawaii, USA, 2-5 May, 2007. ViewPDF
  134. Tran Huy Dat, Haihong Zhang, Chuanchu Wang and Cuntai Guan, "Selected Subband Entropy for Motor Imagery Detection in Asynchronous Brain Computer Interface", IEEE EMBS Conference on Neural Engineering (NER), Hawaii, USA, 2-5 May, 2007. ViewPDF
  135. Tran Huy Dat, Cuntai Guan, "Feature Selection Based on Fisher Ratio and Mutual Information Analyses for Robust Brain Computer Interface",IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, 15-20 April, 2007. ViewPDF
  136. Yuanqing Li, Huiqi Li, Cuntai Guan, Zhengyang Chin, "A Self-training Semi-supervised Support Vector Machine Algorithm and Its Applications in Brain Computer Interface", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, 15-20 April, 2007. ViewPDF
  137. Yuanqing Li, Cuntai Guan,  "A Semi-supervised SVM Learning Algorithm for Joint Feature Extraction and Classification in Brain Computer Interfaces", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), New York, US, Aug 30- Sept 3, 2006.  ViewPDF
  138. Tran Huy Dat, Louis Shue, Cuntai Guan, "Electrocorticographic Signal Classification based on Time-frequency Decomposition and Nonparametric Statistical Modeling", International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC), New York, US, Aug 30- Sept 3, 2006.  ViewPDF
  139. Huiqi Li, Yuanqing Li, Cuntai Guan, "An Effective BCI Speller Based on Semi-supervised Learning", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), New York, US, Aug 30- Sept 3, 2006. ViewPDF
  140. Haihong Zhang and Cuntai Guan, "Kernel-based Signal Localization Method for NIRS Brain-computer Interfaces", International Conference on Pattern Recognition (ICPR), Hong Kong, 2006.  ViewPDF
  141. Haihong Zhang, Cuntai Guan, Yuanqing Li, "Signal Processing for Brain-computer Interface: Enhance Feature Extraction and Classification", IEEE International Symposium on Circuits and Systems (ISCAS), Kos, Greece, May 21-24, 2006.  ViewPDF
  142. Brice Rebsamen, Etienne Burdet, Cuntai Guan, Haihong Zhang, Chee Leong Teo, Qiang Zeng, Marcelo Ang and Christian Laugier, "A Brain-Controlled Wheelchair Based on P300 and Path Guidance", IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), Pisa, Italy, February 20-22, 2006.  ViewPDF
  143. Haihong Zhang, Cuntai Guan, Chuanchu Wang, "A Statistical Model of Brain Signals with Application to Brain-Computer Interface", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Shanghai, China, Sept 1-4, 2005. ViewPDF
  144. Yuanqing Li, Cuntai Guan, "Enhancing Feature Extraction with Sparse Component Analysis for Brain-Computer Interface", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Shanghai, China, Sept 1-4, 2005.  ViewPDF
  145. Xiaoyuan Zhu, Cuntai Guan, Jiankang Wu, "Bayesian Method for Continuous Cursor Control in EEG-Based Brain-Computer Interface", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Shanghai, China, Sept 1-4, 2005. ViewPDF
  146. Chuanchu Wang, Cuntai Guan, Haihong Zhang, "P300 Brain-Computer Interface Design for Communication and Control Applications ", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Shanghai, China, Sept 1-4, 2005. ViewPDF
  147. Wenjie Xu, Jiankang Wu, Zhiyong Huang, Cuntai Guan, "Kernel Based Hidden Markov Model With Applications to EEG Signal Classification", The IASTED International Conference on Biomedical Engineering (BioMED), Austria, Feb 16-18, 2005. ViewPDF
  148. Cuntai Guan, Manoj Thulasidas, Jiankang Wu, "High Performance P300 Speller for Brain-Computer Interface", IEEE International Workshop on Biomedical Circuits and Systems (BioCAS), Singapore, Dec 1-3, 2004. ViewPDF
  149. Cuntai Guan, Xiaoyuan Zhu, S Ranganatha, Manoj Thulasidas, J Wu, "Robust Classification of Event-related Potential for Brain-Computer Interface", International Conference on Advances in Medical Signal and Information Processing (MEDSIP), Malta, 5-8, September 2004. (Best Paper, Poster Category) ViewPDF
  150. Wenjie Xu, Cuntai Guan, Eng Siong Chng, S Ranganatha, Manoj Thulasidas, Jiankang Wu, "High Accuracy Classification of EEG Signal", International Conference of Pattern Recognition (ICPR), UK, 23-26 August, 2004.  ViewPDF

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