李远清

华南理工大学 自动化科学与工程学院

信号稀疏表示 , 盲信号分离 , 半监督机器学习 , 脑机接口 , 脑电与功能核磁共振成像信号分析等

EDUCATION

1. Ph. D.: Control Theory and Applications, 

Dept. of Automatic Control Engineering, 

South China University of Technology, 1997

Thesis Title: Basic Theory, Stability and Variable Structure Control of Singular Systems with Delay

Thesis Advisor: Prof. Yongqing Liu


2. M. S.: Functional Differential Equations,

Dept. of Applied Mathematics, South China Normal University, 1994

Thesis Title: Basic Theory, Stability and Bound of Solutions 

for Generalized P-type Neutral Functional Differential Equations with Unbounded delay

Thesis Advisor: Prof. Lizhi Wen


3. B. S.: Applied Mathematics, 

Dept. of Mathematics, Wuhan University, 1988.

PROFESSIONAL EXPERIENCE

1. 2008.9 –    Professor, 

South China University of Technology

2. 2004.11 – 2008.8, Associate lead scientist, 

Institute of Infocomm Research, Singapore

3. 2002.4 –2004.11 Research Scientist, 

Brain Science Institute, BSI RIKEN, Japan

4. 1997.6 – 2002.3, Lecturer (1997-1999), Associate Professor (2000-2002), 

School of Automation Science and Engineering, South China University of Technology, Guangzhou, China

5. 2001.1 – 2001.2 Visiting Scientist, 

Brain Science Institute, BSI RIKEN, Japan

6. 1999.3 – 1999.7, 1999.10 – 1999.12, 2001.7 – 2001.8 Research Associate, 

Automation and Computer-Aid Engineering Department, Chinese University of Hong Kong 

7. 2002.1 – 2002.2, Research Associate,

Department of Mathematics, City University of Hongkong

8. 1988 – 1992 Lecturer, 

Applied Mathematics Department, Changsha University of Science and Technology, Hunan Province, China.

HONORS AND AWARDS

1. State Natural Science Awards  (second prize), Chinese Central Government, 2009

2. Changjiang Professorship, Ministry of Education, China, 2012

3. Distinguished Young Scholar Award, National Natural Science Foundation of China, 2009  

4. Natural Science Awards (first prize), Ministry of Education of China,2005 

5. Natural Science Awards (first prize), Guangdong Provincial Government, China, 2004

6. Champion (data set IIIa) and Second runner ((data set IVa) of Third Brain Computer Interface Competition,2005 

7. Champion (team leader), the First and Second National Brain Computer Interface Competition, National Natural Science Foundation of China (2010 and 2015).  

8. Pearl River Professorship, Guangdong Provincial Government, China, 2010

9. Qian Bai Shi Talent Program, Chinese Central Government, 2010

10. One of 100 Distinguished Talents, Guangdong Provincial Government, China, 2010.  

CURRENT RESEARCH TOPICS

1. Sparse representation and its applications in brain signal analysis;

2. EEG-based Brain Computer Interfaces and their clinical applications;

3. Audiovisual integration in human brain.

PUBLICATIONS LIST

Selected journal papers (*: corresponding author)

2020

1) Xiaoyan Deng, Zhu Liang Yu, Canguang Lin, Zhenghui Gu and Yuanqing Li. "Self-adaptive shared control with brain state evaluation network for human-wheelchair cooperation." Journal of neural engineering (2020).

2) Yu Zhang, Wei Wu, Russell T. Toll, Sharon Naparstek, Adi Maron-Katz, Mallissa Watts, Joseph Gordon, Jisoo Jeong, Laura Astolfi, Emmanuel Shpigel, Parker Longwell, Kamron Sarhadi, Dawlat El-Said, Yuanqing Li, Crystal Cooper, Cherise Chin-Fatt, Martijn Arns, Madeleine S. Goodkind, Madhukar H. Trivedi, Charles R. Marmar & Amit Etkin. "Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography." Nature Biomedical Engineering (2020): 1-15, DOI: 10.1038/s41551-020-00614-8.

3) Liping Lan, Jiahong Li, Yanhong Chen, Wan Chen, Wenrui Li, Fei Zhao, Guisheng Chen, Jiahao Liu, Yuchen Chen, Yuanqing Li, Chang‐Dong Wang, Yiqing Zheng, Yuexin Cai. "Alterations of brain activity and functional connectivity in transition from acute to chronic tinnitus." Human Brain Mapping (2020), DOI: 10.1002/hbm.25238.

4) Zhang Jun, Dan Luo, Zhiming Lin, Wenying Zhou, Jialing Rao, Yuanqing Li, Jianhao Wu, Hui Peng, Tanqi Lou. "Dysbiosis of gut microbiota in adult idiopathic membranous nephropathy with nephrotic syndrome." Microbial Pathogenesis 147 (2020): 104359, DOI: 10.1016/j.micpath.2020.104359.

5) Lichao Xiao, Jin-Gang Yu, Zhifeng Liu, Jiarong Ou, Shule Deng, Zhenhua Yang, Yuanqing Li. "Censoring-Aware Deep Ordinal Regression for Survival Prediction from Pathological Images." International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2020, DOI: 10.1007/978-3-030-59722-1_43.

6) Junjian Chen, Zhuliang Yu, Zhenghui Gu, Yuanqing Li. "Deep Temporal-Spatial Feature Learning for Motor Imagery-based Brain-Computer Interfaces." IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020), DOI: 10.1109/TNSRE.2020.3023417. 

7) Jiahui Pan, Qiuyou Xie, Pengmin Qin, Yan Chen, Yanbin He, Haiyun Huang, Fei Wang, Xiaoxiao Ni, Andrzej Cichocki, Ronghao Yu, Yuanqing Li. "Prognosis for patients with cognitive motor dissociation identified by brain-computer interface." Brain 143.4 (2020): 1177-1189, DOI: 10.1093/brain/awaa026.

8) Lin He, Chenying Liu, Jun Li, Yuanqing Li, Shutao Li, Zhuliang Yu. "Hyperspectral Image Spectral-Spatial-Range Gabor Filtering." IEEE Transactions on Geoscience and Remote Sensing (2020), DOI: 10.1109/TGRS.2020.2967778.

9) Ke Liu, Zhuliang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li. "Imaging brain extended sources from EEG/MEG based on variation sparsity using automatic relevance determination." Neurocomputing (2020), DOI: 10.1016/j.neucom.2020.01.038.

10) Gexin Huang, Zhuliang Yu, Wei Wu, Ke Liu, Zhenghui Gu, Feifei Qi, Yuanqing Li, Jiawen Liang. "Electromagnetic Source Imaging via a Data-Synthesis-Based Denoising Autoencoder." arXiv preprint arXiv:2010.12876 (2020).

11) Yajun Zhou, Shenghong He, Qiyun Huang, Yuanqing Li. "A Hybrid Asynchronous Brain-Computer Interface Combining SSVEP and EOG Signals." IEEE Transactions on Biomedical Engineering 67.10 (2020): 2881-2892, DOI: 10.1109/TBME.2020.2972747.

12) Yinghao Li, Zhenghui Gu, Zichao Lin, Zhuliang Yu, Yuanqing Li. "An Automatic Sleep Staging Model Combining Feature Learning and Sequence Learning." 2020 12th International Conference on Advanced Computational Intelligence (ICACI). IEEE, 2020, DOI: 10.1109/ICACI49185.2020.9177520.

13) Feifei Qi, Wei Wu, Zhuliang Yu, Zhenghui Gu, Zhenfu Wen, Tianyou Yu, Yuanqing Li. "Spatiotemporal-filtering-based channel selection for single-trial EEG classification." IEEE Transactions on Cybernetics (2020), DOI: 10.1109/TCYB.2019.2963709.

14) Zhibo Fan, Jin-Gang Yu, Zhihao Liang, Jiarong Ou, Changxin Gao, Gui-Song Xia, Yuanqing Li. "FGN: Fully Guided Network for Few-Shot Instance Segmentation." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.

15) Jun Zhang, Yuanqing Li, Zhu Liang Yu, Zhenghui Gu, Yu Cheng, Huoqing. "Deep Unfolding with Weighted ℓ1 Minimization for Compressive Sensing." IEEE Internet of Things Journal (2020), DOI: 10.1109/JIOT.2020.3021724.

16) Yupeng Han, Weichen Huang, Haiyun Huang, Jing Xiao, Yuanqing Li. "Assessing Meditation State Using EEG-based Permutation Entropy Features." 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2020, DOI: 10.1109/AIM43001.2020.9158980.

17) Dong Zeng, Lisha Yao, Yongshuai Ge, Sui Li, Qi Xie, Hao Zhang, Zhaoying Bian, Qian Zhao, Yuanqing Li. "Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction." IEEE Transactions on Medical Imaging (2020), DOI: 10.1109/TMI.2020.2976692.

2019

18) Jingcong Li, Zhuliang Yu*, Zhenghui Gu, Hui Liu, Yuanqing Li. "MMAN: Multi-modality aggregation network for brain segmentation from MR images." Neurocomputing 358 (2019): 10-19, DOI: 10.1016/j.neucom.2019.05.025.

19) Qiyun Huang, Yang Chen, Zhijun Zhang, Shenghong He, Rui Zhang, Jun Liu, Yuandong Zhang, Ming Shao and Yuanqing Li*. "An EOG-based wheelchair robotic arm system for assisting patients with severe spinal cord injuries." Journal of neural engineering 16.2 (2019): 026021, DOI: 10.1088/1741-2552/aafc88.

20) Xiaofeng Xie, Zhuliang Yu, Zhenghui Gu, Yuanqing Li. "Classification of symmetric positive definite matrices based on bilinear isometric Riemannian embedding." Pattern Recognition 87 (2019): 94-105, DOI: 10.1016/j.patcog.2018.10.009.

21) Qiyun Huang, Zhijun Zhang, Tianyou Yu, Shenghong He and Li, Yuanqing*. "An EEG-/EOG-Based Hybrid Brain-Computer Interface: Application on Controlling an Integrated Wheelchair Robotic Arm System." Frontiers in Neuroscience 13 (2019): 1243, DOI: 10.3389/fnins.2019.01243.

22) Shaofeng Li, Xiaofeng Xie, Zhenghui Gu, Zhu Liang Yu, Yuanqing Li. "Motor Imagery Classification based on Local Isometric Embedding of Riemannian Manifold." 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2019, DOI: 10.1109/ICIEA.2019.8833878.

23) Xiaoyan Deng, Zhu Liang Yu, Canguang Lin, Zhenghui Gu, Yuanqing Li. "A Bayesian Shared Control Approach for Wheelchair Robot With Brain Machine Interface." IEEE Transactions on Neural Systems and Rehabilitation Engineering 28.1 (2019): 328-338, DOI: 10.1109/TNSRE.2019.2958076.

24) Xiao, Jing, Jun Qu, and Yuanqing Li. "An Electrooculogram-based interaction method and its music-on-demand application in a virtual reality environment." IEEE Access 7 (2019): 22059-22070, DOI: 10.1109/ACCESS.2019.2898324.

25) Hao Xiong, Peiliang Lin, Jin-Gang Yu, Jin Ye, Lichao Xiao, Yuan Tao, Zebin Jiang, Wei Lin, Mingyue Liu, Jingjing Xu, Wenjie Hu, Yuewen Lu, Huaifeng Liu, Yuanqing Li*, Yiqing Zheng*, Haidi Yang*. "Computer-aided diagnosis of laryngeal cancer via deep learning based on laryngoscopic images." EBioMedicine 48 (2019): 92-99, DOI: 10.1016/j.ebiom.2019.08.075

26) Zhenfu Wen, Tianyou Yu, Xinbin Yang and Yuanqing Li*. "Goal-directed processing of naturalistic stimuli modulates large-scale functional connectivity." Frontiers in Neuroscience 12 (2019): 1003, DOI: 10.3389/fnins.2018.01003.

27) Weichen Huang, Tianyou Yu, Jing Xiao, Qiang Guo, Yuanqing Li. "A P300-based Brain Computer Interface Using Stereo-electroencephalography Signals." 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2019, DOI: 10.1109/EMBC.2019.8857724.

28) Zhi Liao, Jun Zhang, Dandan Hu, Cheng Li, Lin Zhu, Yuanqing Li. "Sparse Signal Reconstruction With Statistical Prior Information: A Data-Driven Method." IEEE Access 7 (2019): 157037-157045, DOI: 10.1109/ACCESS.2019.2950003.

29) Shenghong He, Abteen Mostofi, Erlick Pereira, Emilie Syed, Flavie Torrecillos, Gerd Tinkhauser, Petra Fischer, Alek Pogsyan, Keyoumars Ashkan, Harutomo Hasegawa, Yuanqing Li, Peter Brown, Huiling Tan. "Neurofeedback linked suppression of subthalamic beta oscillations speeds up movement initialisation in Parkinsonian Patients." bioRxiv (2019): 687582, DOI: 10.1101/687582.

30) Liu, Yalin, Tianyou Yu, and Yuanqing Li. "Enhance cross-subject MEG decoding by combining Riemannian Geometry feature extraction and multi-task learning." 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2019, DOI: 10.1109/ICIEA.2019.8834085.

31) Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Jun Zhang, Ling Cen, Srikantan Nagarajan,  Yuanqing Li. "Bayesian electromagnetic spatio-temporal imaging of extended sources based on matrix factorization." IEEE Transactions on Biomedical Engineering 66.9 (2019): 2457-2469, DOI: 10.1109/TBME.2018.2890291

32) Jin-Gang Yu, Yansheng Li, Changxin Gao, Hongxia Gao, Gui-Song Xia, Zhu Liang Yu, Yuanqing Li. "Exemplar-Based Recursive Instance Segmentation With Application to Plant Image Analysis." IEEE Transactions on Image Processing 29 (2019): 389-404, DOI: 10.1109/TIP.2019.2923571.

33) Shenghong He, Yajun Zhou, Tianyou Yu, Rui Zhang, Qiyun Huang, Lin Chuai, Madah-Ul- Mustafa, Zhenghui Gu, Zhu Liang Yu, Huiling Tan, Yuanqing Li. "EEG-and EOG-Based Asynchronous Hybrid BCI: A System Integrating a Speller, a Web Browser, an E-Mail Client, and a File Explorer." IEEE Transactions on Neural Systems and Rehabilitation Engineering 28.2 (2019): 519-530, DOI: 10.1109/TNSRE.2019.2961309.

34) Zhenfu Wen, Tianyou Yu, Zhuliang Yu, Yuanqing Li*. "Grouped sparse Bayesian learning for voxel selection in multivoxel pattern analysis of fMRI data." NeuroImage 184 (2019): 417-430, DOI: 10.1016/j.neuroimage.2018.09.031.

35) Haiyun Huang, Qiuyou Xie, Jiahui Pan, Yanbin He, Zhenfu Wen, Ronghao Yu and Yuanqing Li*. “An EEG-Based Brain Computer Interface for Emotion Recognition and Its Application in Patients with Disorder of Consciousness,” IEEE Transactions on Affective Computing, 2019, DOI: 10.1109/TAFFC.2019.2901456.

36) Fei Wang, Yanbin He, Jun Qu, Yuan Cao, Yalin Liu, Feng Li, Zhuliang Yu, Ronghao Yu*, Yuanqing Li*, A Brain-computer Interface Based on Three-dimensional Stereo Stimuli for Assisting Clinical Object Recognition Assessment in Patients with Disorders of Consciousness, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019, DOI: 10.1109/TNSRE.2019.2896092.

37) Jingcong Li, Zhu Liang Yu*, Zhenghui Gu, Mingkui Tan, Yiwen Wang, Yuanqing Li. "Spatial-Temporal Discriminative Restricted Boltzmann Machine for Event-related Potential Detection and Analysis." IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, no. 2, pp. 139-151, 2019.

38) Yinlong Yuan, Zhu Liang Yu*, Zhenghui Gu, Xiaoyan Deng, Yuanqing Li. "A novel multi-step reinforcement learning method for solving reward hacking." Applied Intelligence , 1-15, 2019.

39) Jingcong Li, Zhu Liang Yu, Zhenghui Gu, Hui Liu, Yuanqing Li. “Dilated-Inception Net: Multi-scale Feature Aggregation for Cardiac Right Ventricle Segmentation,” IEEE Transactions on Biomedical Engineering, 2019. (IF = 4.288,)

40) Yinlong Yuan, Zhu Liang Yu, Zhenghui Gu, Yao Yeboah, Wu Wei, Xiaoyan Deng, Jingcong Li, Yuanqing Li, “A Novel Multi-step Q-learning Method to Improve Data Efficiency for Deep Reinforcement Learning,” Knowledge-Based Systems. 2019, 175:107-117.

2018

41) Zhenfu Wen, Tianyou Yu, Zhuliang Yu, Yuanqing Li*. “Grouped sparse Bayesian learning for voxel selection in multivoxel pattern analysis of fMRI data,” NeuroImage, 2019, 184, 417-430. (IF: 5.426)

42) Jun Qu, Fei Wang, Zhenping Xia, Tianyou Yu, Jing Xiao, Zhuliang Yu, Zhenghui Gu and Yuanqing Li. A novel three-dimensional P300 speller based on stereo visual stimuli. IEEE Transactions on Human-Machine Systems, vol. 48, no. 4, 2018.

43) Rui Zhang, Shenghong He, Xinghua Yang, Xiaoyun Wang, Kai Li, Qiyun Huang, Zhuliang Yu, Xichun Zhang, Dan Tang, Yuanqing Li*. “An EOG-based Human Machine Interface to Control a Smart Home Environment for Patients with Severe Spinal Cord Injuries,” IEEE Transactions on Biomedical Engineering, vol. 66 , no. 1 , 2019, pp. 89-100. DOI: 10.1109/TBME.2018.2834555. (JCR Q1,IF:4.288)

44) Jun Xiao, Jiahui Pan, Yanbin He, Qiuyou Xie, Tianyou Yu, Haiyun Huang, Wei Lv, Jiechun Zhang, Ronghao Yu, Yuanqing Li. Visual fixation assessment in patients with disorders of consciousness based on brain-computer interface. Neuroscience Bulletin. vol. 34, no. 4, pp. 679-690, 2018.

45) Jun Xiao, Qiuyou Xie, Qing Lin, Tianyou Yu, Ronghao Yu, Yuanqing Li. Assessment of visual pursuit in patients with disorders of consciousness based on a brain-computer interface. IEEE Transactions on Neural Systems & Rehabilitation Engineering. 2018 26(6), 1141.

46) Jiahui Pan, Qiuyou Xie, Haiyun Huang, Yanbin He, Yuping Sun, Ronghao Yu and Yuanqing Li*. “Emotion-Related Consciousness Detection in Patients With Disorders of Consciousness Through an EEG-Based BCI System,”. Frontiers in human neuroscience, vol. 12, p. 198, 2018. 

47) Qiuyou Xie, Jiahui Pan, Yan Chen, Yanbin He, Xiaoxiao Ni, Jiechun Zhang, Fei Wang, Yuanqing Li*and Ronghao Yu* “A gaze-independent audiovisual brain-computer Interface for detecting awareness of patients with disorders of consciousness,” BMC neurology, vol. 18, no. 1, p. 144, 2018.

48) Zhijun Zhang*, Yeyun Lu, Lunan Zheng, Shuai Li, Zhuliang Yu, and Yuanqing Li, “A New Varying-Parameter Convergent-Differential Neural-Network for Solving Time-Varying Convex QP Problem Constrained by Linear-Equality,” IEEE Transactions on Automatic Control, DOI: 10.1109/TCYB.2017.2760883, vol. 63, no. 12, pp. 4110-4125, 2018.

49) Zhijun Zhang*, Tingzhong Fu, Ziyi Yan, Long Jin, Lin Xiao, Yuping Sun*, Zhuliang Yu, and Yuanqing Li, “A Varying-Parameter Convergent-Differential Neural Network for Solving Joint-Angular-Drift Problems of Redundant Robot Manipulators,” IEEE/ASME Transactions on Mechatronics, vol. 23, no. 2, pp. 679-689, 2018.

50) Jingcong Li, Zhu Liang Yu, Zhenghui Gu, Wei Wu, Yuanqing Li, Lianwen Jin. “A Hybrid Network for ERP Detection and Analysis Based on Restricted Boltzmann Machine,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 3, pp. 563-572, 2018.

51) Xiaofeng Xie, Zhu Liang Yu, Zhenghui Gu, Jun Zhang, Ling Cen, Yuanqing Li. “Bilinear regularized locality preserving learning on Riemannian graph for motor imagery BCI,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 3, pp. 698-708, 2018.

52) Xiaofeng Xie, Zhu LiangYu, ZhenghuiGu, YuanqingLi. “Classification of symmetric positive definite matrices based on bilinear isometric Riemannian embedding,” Pattern Recognition, vol. 87, pp. 94-105, 2019.

53) Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li, Srikantan Nagarajan. “Variation sparse source imaging based on conditional mean for electromagnetic extended sources,” Neurocomputing, vol. 313, pp. 96-110, 2018.

2017

54) Yuanqing Li*, Fangyi Wang, Yongbin Chen, Andrzej Cichocki, Terrence Sejnowski, The Effects of Audiovisual Inputs on Solving the Cocktail Party Problem in the Human Brain: An fMRI Study, Cerebral Cortex, doi: 10.1093/cercor/bhx235, 1-15, 2017 (SCI一区).

55) Jun Qu, Fei Wang, Zhenping Xia, Tianyou Yu, Jing Xiao, Zhuliang Yu, Zhenghui Gu, Yuanqing Li*,A Novel 3D P300 Speller Based on Stereo Visual Stimuli, IEEE Transactions on Human-Machine Systems (IF:2.5), accepted.

56) Yuanqing Li*, Shenhong He, Qiyun Huang, Zhenghui Gu, and Zhuliang Yu, "An EOG-based switch and its application for "start/stop" control of a wheelchair," Neurocomputing, vol. 275, no. 31, pp. 1350--1357, Jan. 2018.

57) Fei Wang, Yanbin He, Jun Qu, Qiuyou Xie, Qing Lin, Xiaoxiao Ni, Yan Chen, Ronghao Yu*, and Yuanqing Li*, Enhancing clinical communication assessments using an audiovisual BCI for patients with disorders of consciousness, Journal of Neural Engineering, vol. 14, no. 4, 2017.6 (IF: 3.4).

58) X. Xie, Z. L. Yu*, H. Lv, Z. Gu, Y. Li*, “Motor Imagery Classification based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices”, IEEE Trans. Neural Systems & Rehabilitation Engineering, vol. 25 (6), pp. 504-516, 2017.6 (IF: 3.4).

59) Rui Zhang, Qihong Wang, Kai Li, Shenghong He, Si Qin, Zhenghui Feng, Yang Chen, Pingxia Song, Tingyan Yang, Yuandong Zhang, Ming Shao and Yuanqing Li*, A BCI-based Environmental Control System for Patients with Severe Spinal Cord Injuries, IEEE Trans. Biomedical Engineering, vol. 64, no. 8, pp. 1959-1971, 2017.8 (Feature/Highlight Article, IF: 3.7;亮点论文).

60) Lin He, Jun Li, Antonio Plaza, and Yuanqing Li*, Discriminative Low-Rank Gabor Filtering for Spectral-Spatial Hyperspectral Image Classification, IEEE Trans. Geoscience and Remote Sensing, IEEE Trans. Geoscience and Remote Sensing, vol. 55, no. 3, pp. 1381-1395, 2017.3 (IF: 4.9).

61) Qiyun Huang, Shenghong He, Qihong Wang, Zhenghui Gu, Nengneng Peng, Kai Li, Yuandong Zhang, Ming Shao, Yuanqing Li*, An EOG-Based Human-Machine Interface for Wheelchair Control, IEEE Trans. Biomedical Engineering, vol: PP, no. 99, pp. 1-1, 2017.7 (IF: 3.7).

62) Shenghong He and Yuanqing Li*, A Single-channel EOG-based Speller, IEEE in Transactions on Neural Systems & Rehabilitation Engineering, vol. 25, DOI 10.1109/TNSRE.2017.2716109, 2017 (IF:3.4).

63) Zhijun Zhang, Yujun Lin, Shuai Li, Yuanqing Li, Zhuliang Yu, Yamei Luo, Tricriteria Optimization-Coordination Motion of Dual-Redundant-Robot Manipulators for Complex Path Planning, IEEE Transactions on Control Systems Technology, vol. PP (99), pp. 1-13, 2017.6 (IF: 3.9).

64) Zhijun Zhang, Lunan Zheng, Junming Yu, Yuanqing Li, Zhuliang Yu, Three Recurrent Neural Networks and Three Numerical Methods for Solving a Repetitive Motion Planning Scheme of Redundant Robot Manipulators, IEEE/ASME Transactions on Mechatronics, vol. 22 (3), pp. 1423-1434, 2017.6 (IF: 4.3).

2016

65) Yuanqing Li*, Jiahui Pan, Jinyi Long, Tianyou Yu, Fei Wang, Zhuliang Yu, Wei Wu, Multimodal BCIs: Target Detection, Multi-dimensional Control, and Awareness Evaluation in Patients with Disorder of Consciousness, Proceedings of the IEEE, vol. 104 (2), pp. 332-352, 2016.2 (IF: 9.2).

66) Yuanqing Li*, Jinyi Long, Biao Huang, Tianyou Yu, Wei Wu, Peijun Li, Fang Fang, Pei Sun, Selective Audiovisual Semantic Integration Enabled by Feature-Selective Attention, Scientific Reports, 6:18914, DOI: 10.1038/srep18914, 2016.1 (IF: 4.3).

67) Rui Zhang, Yuanqing Li* et al.,  Control of a Wheelchair in an Indoor Environment Based on a Brain-Computer Interface and Automated Navigation, IEEE in Transactions on Neural Systems & Rehabilitation Engineering, vol. 24 (1), pp. 126-139, 2016 (IF:3.4, highlight paper).

68) Yuanqing Li*, et al., The Modulatory Effect of Semantic Familiarity on the Audiovisual Integration of Face-Name Pairs, Human Brain Mapping, vol. 37 (12), pp. 4333-4348, 2016.12 (IF: 4.5).

69) K. Liu, Z. L. Yu*, W. Wu, Z. Gu, Y. Li, S. Nagarajan, “Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources with Markov Random Field and Temporal Basis Expansion”, NeuroImage, vol. 139, pp. 385-404, 2016.8 (IF: 5.8).

70) S. He, R. Zhang, Q. Wang, Y. Chen, T. Yang, Z. Feng, Y. Zhang, M. Shao, and Y. Li*, A P300-based Threshold-free Brain Switch and Its Application in Wheelchair Control, IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 25 (6), pp. 715-725, 2017.6 (IF: 3.4).

71) Jun Xiao, Qiuyou Xie, Yanbin He, Tianyou Yu, Shenglin Lu, Ningmeng Huang, Ronghao Yu, and Yuanqing Li*, An Auditory BCI System for Assisting CRS-R Behavioral Assessment in Patients with Disorders of Consciousness, Scientific Reports, 6: 32917, doi: 10.1038/srep32917, 2016.9 (IF: 4.3).

2015

72) Yuanqing Li* et al., Crossmodal integration enhances neural representation of task-relevant features in audiovisual face perception, Cerebral Cortex, Volume 25, Issue 2, pp. 384-395, 2015.8 (IF: 8.3).

73) Yuanqing Li*, Jiahui Pan, Yanbin He, Fei Wang, Steven Laureys, Qiuyou Xie, and Ronghao Yu, Detecting Number Processing and Mental Calculation in Patients with Disorders of Consciousness Using a Hybrid Brain-computer Interface System, BMC Neurology, 15:259, DOI 10.1186/s12883-015-0521-z, 2015.12 (IF:2.5).

74) Feifei Qi, Yuanqing Li, Wei Wu, RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG, IEEE Trans. Neural Networks and Learning Systems, vol. 26, no. 12, pp. 3070-3082, 2015.12.

75) Tianyou Yu, Zhuliang Yu and Yuanqing Li*,Grouped automatic relevance determination and its application in channel selection for P300 BCIs, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 23, no. 6, pp. 1068-1077, 2015.11.

76) Tianyou Yu, Jun Xiao, Fangyi Wang, Rui Zhang, ZhenghuiGu, Andrzej Cichocki and Yuanqing Li*, Enhanced motor imagery training using a hybridBCI with feedback, IEEE Trans. Biomedical Engineering, vol. 62, no. 7, pp. 1706-1717, 2015.7.

77) Fei Wang, Yanbin He, Jiahui Pan, QiuyouXie, Ronghao Yu, Rui Zhang and Yuanqing Li*, Novel Audiovisual Brain-Computer Interface and Its Application in Awareness Detection, Scientific Reports, 5:09962,DOI: 10.1038/srep09962, 2015.6 (IF: 5.5).

78) Ke Liu, Zhu Liang Yu, Wei Wu, ZhenghuiGu, Yuanqing Li,“STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging”,International Journal of Neural Systems, Vol. 25, No. 4, 2015.6 (IF=6.056).

79) Lin He, Yuanqing Li, et al., Spectral–Spatial Classification of Hyperspectral Images via Spatial Translation-Invariant Wavelet-Based Sparse Representation, IEEE Trans. Geoscience and Remote Sensing, vol. 53, no. 5, pp. 2696-2712, 2015.5.

80) Y. Chen, W. Yang, J. Long, Y. Zhang, J. Feng, Y. Li*, Biao Huang, Discriminative analysis of Parkinson's Disease Based on Whole-Brain Functional Connectivity, PLoS One, DOI:10.1371/journal.pone.0124153, 2015.4.

81) Lijuan Bai,Tianyou Yu,Yuanqing Li*, “A brain computer interface-based explorer” Journal of Neuroscience Methods, DOI: 10.1016/j.jneumeth.2014.06.015, 2015.4. (SCI,IF=1.959)

82) W. Wu, Z. Chen, X Gao, Y. Li, E Brown, S Gao, Probabilistic common spatial patterns for multichannel EEG analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI 10.1109/TPAMI.2014.2330598, 2015.3.

2014

83) Jiahui Pan, Qiuyou Xie, Yanbin He, Fei Wang, Haibo Di, Steven Laureys, Ronghao Yu and YuanqingLi*,Detecting awareness in patients with disorders of consciousness using a hybrid brain–computer interface, Journal of Neural Engineering, vol. 11(5), 2014.10. (SCI,IF=3.411)

84) Jinyi Long, X Huang, Y Liao, X Hu, J Hu, S Lui, Rui Zhang, Yuanqing Li*, Q Gong*, Prediction of post-earthquake depressive and anxiety symptoms: a longitudinal resting-state fMRI study,Scientific Reports,4: 6423, DOI: 10.1038/srep06423, 2014.9 (IF:5.1).

85) Yuanqing Li* et al., Sparse Representation for Brain Signal Processing, IEEE Signal Processing Magazine, vol. 31 (3), 2014.5 (IF:6.7).

86) Wei Wu, Chaohua Wu, Shangkai Gao, Baolin Liu, Yuanqing Li, and Xiaorong Gao. Bayesian estimation of ERP components from multicondition and multichannel EEG. NeuroImage, 2014, 88: 319-339, 2014.3. (IF: 6.2). 

87) J. Zhang, Y. Li(*), Z. Gu, and Z.L. Yu, "Recoverability analysis for modified compressive sensing with partially known support," PLoS ONE 9(2): e87985, doi:10.1371/journal.pone.0087985, 2014.2.

88) Jun Zhang, Zhenghui Gu, Zhuliang Yu Yuanqing Li*, “Energy-Efficient ECG Compression on Wireless Biosensors via Minimal Coherence Sensing and Weighted L1 Minimization Reconstruction” IEEE Journal of Biomedical and Health Informatics, doi:  10.1109/JBHI.2014.2312374, 2014. (SCI,IF=1.98)

2013

89) Wei Wu, Chaohua Wu, Shangkai Gao, Baolin Liu, Yuanqing Li, and Xiaorong Gao. Bayesian estimation of ERP components from multicondition and multichannel EEG. NeuroImage, 2013 (IF: 6.2). 

90) J. Pan, Y. Li*, R. Zhang, Z. Gu, and F. Li, “Discrimination between control and idle states in asynchronous SSVEP-based brain switches: a pseudo-key-based approach,” IEEE Transactions on Neural Syst. Rehabil. Eng., vol. 21, no. 3, pp. 435-443, 2013. 

91) Yuanqing Li* et al., A Hybrid BCI System Combining P300 and SSVEP And Its Application in Wheelchair Control, IEEE Trans. Biomed. Eng., 2013.

92) Z. Gu, Z. L. Yu, Z. Shen, and Y. Li, “An Online Semi-Supervised Brain-Computer Interface,” to appear in IEEE Trans. Biomedical Engineering, 2013.9.

93) Danke Zhang, Yuanqing Li, Malte J. Rasch and Si Wu,Nonlinear multiplicative dendritic integration in neuron and network models, Frontiers in Computational Neuroscience, vol. 7, pp. 1-14, 2013. 

Before 2013

94) Yuanqing Li* et al., A Sparse Representation-Based Algorithm for Pattern Localization in Brain Imaging Data Analysis, PLoS ONE,2012.

95) J. Long, Y. Li*, T. Yu, and Z. Gu, “Target selection with hybrid feature for bci-based 2-d cursor control,” IEEE Trans. on Biomed. Eng., vol. 59(1), pp. 132-140, 2012. 

96) J. Long, Y. Li*, T. Yu, et al., “A Hybrid Brain Computer Interface to Control the Direction and Speed of a Simulated or Real Wheelchair,” IEEE Trans. Neural Syst. Rehab. Eng., vol. 20 (5), pp. 720-729, 2012. 

97) T. Yu, Y. Li*, et al., “Surfing the internet with a BCI mouse,” J. of Neural Eng., vol. 9, 2012 (one of 16 highlighted papers in 2012) (IF: 3.4).

98) Yuanqing Li* et al., Reproducibility and Discriminability of Brain Patterns of Semantic Categories Enhanced by Congruent Audiovisual Stimuli, PLoS ONE 6(6), 2011. 

99) Haihong Zhang, Cuntai Guan, Yuanqing Li, A Linear Discriminant Analysis Method based on Mutual Information Maximization, Pattern Recognition, vol. 44, pp. 877-885, 2011.

100) Yuanqing Li* et al., An EEG-based BCI System for Asynchronous 2-D Cursor Control by Combining Mu/Beta Rhythm and P300 Potential,” IEEE Trans. Biomedical Engineering, VOL. 57 (10), 2010.10, pp. 2945-2504. 

101) Zhuliang Yu, Zhenghui Gu, Jianjiang Zhou, Yuanqing Li, Wee Ser, and Meng Hwa Er, A Robust Adaptive Beamformer Based on Worst-Case Semi-Definite Programming, IEEE Trans. On Signal Processing, vol. 58(11), pp. 5914-5919, 2010.11. 

102) Zhuliang Yu, W. Ser, M. H. Er, Z Gu, Yuanqing Li, Robust Adaptive Beamformers Based on Worst-Case Optimization and Constraints on Magnitude Response, IEEE Trans. On Signal Processing, vol. 57(7), pp. 2615-2628, 2009.7. 

103) Yuanqing Li*,Praneeth Nambur, et al.,,Voxel Selection in fMRI Data Analysis Based on Sparse Representation, IEEE Trans. On Biomedical Engineering,vol. 56 (10), 2439-2451,2009.

104) Yuanqing Li, Cuntai Guan, Joint Feature Re-extraction and Classification Using An Iterative Semi-supervised Support Vector Machine Algorithm, Machine Learning, vol.71(1), 2008.4. 

105) Yuanqing Li, Huiqi Li, Cuntai Guan, A Self-training Semi-supervised SVM Algorithm and Its Application in An EEG-based Brain Computer Interface Speller System, Pattern Recognition Letters, vol. 29(9), pp. 1285-1294, 2008.7.

106) Yuanqing Li, Andrzej Cichocki, et al., Equivalence Probability and Sparsity of Two Sparse Representation Solutions, IEEE Trans, on Neural Networks, vol.19(12), 2009-2021, 2008.

107) A. Cichocki, Y. Washizawa,……,Yuanqing Li, Noninvasive BCIs: Multiway Signal-Processing Array Decomposi- tions, IEEE Computer Magazine, vol. 41(10), pp.34-42, 2008.

108) Yuanqing Li, Huiqi Li, Cuntai Guan, A Self-training Semi-supervised SVM Algorithm and Its Application in An EEG-based Brain Computer Interface Speller System, Pattern Recognition Letters, vol.29(9), 1285-1294, 2008.7. 

109) Yuanqing Li, Shun-ichi Amari, Andrzej Cichocki, Cuntai Guan, Probability Estimation for Recoverability Analysis of Blind Source Separation Based on Sparse Representation, IEEE Trans. On Information Theory, vol. 52, no.7, pp. 3139-3152, July 2006.

110) Yuanqing Li, Shun-ichi Amari, et al., Underdetermined Blind Source Separation Based on Sparse Representation, IEEE Trans. on Signal Processing, vol.54, no.2, 423-437, 2006.

111) Yuanqing Li, Andrzej Cichocki, et al. Blind Estimation of Channel Parameters and Source Components for EEG signals: A Sparse Factorization Approach, IEEE Trans. On Neural Networks, vol. 17, no.2, pp.419-431, 2006.

112) Yuanqing Li, Cuntai Guan, An Extended EM Algorithm for Joint Feature Extraction and Classification in Brain Computer Interfaces, Neural Computation,vol. 18, no.11, 2730-2761, 2006.

113) Yuanqing Li, Jun Wang, A network model for blind source extraction in various ill-conditioned cases, Neural Networks, vol 18(10), pp 1348-1356, 2005.

114) Yuanqing Li, Andrzej Cichocki and Shun-ichi Amari,Analysis of Sparse Representation and Blind Source Separation, Neural Computation, vol. 16, no. 6, pp. 1193-1234, 2004.

115) Yuanqing Li, Wang Jun, Andrzej Cichocki, Blind Source Extraction from Convolutive Mixtures in Ill-Conditioned MIMO Channels, IEEE Trans. on Circuits and Systems, vol. 51(9),1814-1822, 2004.

116) Yuanqing Li, Andrzej Cichocki, Liqing Zhang, Blind Source Estimation of FIR Channels for Binary Sources: a Grouping Decision Approach, Signal Processing, 84(12): 2245-63,2004. 

117) Yuanqing Li, Jun Wang, Sequential Blind Extraction of Instantaneously Mixed Sources, IEEE Trans. Signal Processing, vol.50 (5), pp. 997-1006, 2002. 

118) Yuanqing Li, Jun Wang, J. M. Zurada, Blind Extraction of Singularly Mixed Sources Signals, IEEE Trans. On Neural Networks, vol.11, no.6, pp.1413-1422,2000.11. 

119) Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Sergei Shishkin, Jianting Cao, Fanji Gu, Sparse Representation and Its Applications in Blind Source Separation, Neural Information Processing System Conference (NIPS), 2003, Canada.

OTHERS

1. Associate editor

IEEE Trans. on Fuzzy Systems, 2012- present

IEEE Trans. on Human-Machine Systems, 2014- present

International Journal of Computational Intelligence and Neuroscience, Hindawi, 2008- present

Cognitive Neurodynamics,Springer, 2010- present

Control Theory and Technology, China (Deputy Editor-in-Chief), 2013- present

Information and Control, China, 2013- present

2. PC member for conferences

Member of international program committee of the 4th International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2003), Japan, 2003.

Member of international program committee of the 5th International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2004), Spain, 2004.

Member of international program committee of the 6th International Conference on Independent Component Analysis and Blind Signal Separation, Charleston, SC, USA, 2006.

Member of international program committee of International Symposium on Neural Networks, Dalian, China, 2004.

Member of international program committee of International Symposium on Neural Networks, Chongqing, China, 2005. 

Member of international program committee of International Symposium on Neural Networks, Chengdu, China, 2006. 

Member of international program committee of International Symposium on Neural Networks, Nanjing, China, 2007. 

Member of international program committee of International Conference on Communications, Circuits and Systems, Guilin, China, June 25-28, 2006. 

Member of international program committee of Chinese Control Conference 2003-2007.

3. Reviewer

I am a reviewer for IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, IEEE Transactions on Circuits and Systems (I), IEEE Transactions on Neural Networks, IEEE Transactions on Biomedical Engineering, IEEE Signal Processing Letters, Proceedings of IEEE, J. of Neural Engineering, NeuroImage etc.

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