Minpeng Xu received the B.S. and Ph. D. degrees in biomedical engineering from Tianjin University in 2010 and 2015, respectively. He visited the Tzyy-Ping Jung’s lab at the Institute for Neural Computation (INC) of University of California, San Diego (UCSD) from 2014 to 2015. He is currently an associate professor of Department of Biomedical Engineering at Tianjin University. Dr. Xu and his colleagues developed some advanced brain-computer interface (BCI) techniques that pushed the boundaries of the BCI's speed (Journal of Neural Engineering, 2018), command number (IEEE Transactions on Biomedical Engineering, 2020) and lower limit of detectability (IEEE Transactions on Biomedical Engineering, 2018). He made a significant contribution to the in-space BCI experiment carried out on the ‘Tiangong II’ space station in 2016, which was the first time in history to verify the usability of BCIs in space. His research articles were once selected as TBME cover story, JNE highlight and introduced by Science. He was a recipient of the Young Elite Scientist Sponsorship Program by CAST, first prize of the BCI competition in the world robotic competition, Neuroscan Award, first prize of Tianjin technical invention award and Huang Jiasi Award.

Dr. Xu lays his research emphasis on the modelling of neural oscillations for the development of BCI and neuro-modulation techniques, and on the understandings of Event-Related Potential (ERP) mechanism and brain functions. Currently, Dr. Xu is working on 

·                  High-efficiency BCI systems for real-life application; 

·                  Decoding methods for high-frequency, high-density and low-amplitude scalp EEG features;

·                  Modeling of dynamic brain responses affected by top-down signals;

·                  Rhythmic sensory stimulation for the enhancement of brain functions.

Selected Journal Publications 

Ÿ   Minpeng Xu, Jin Han, Yijun Wang, Tzyy-Ping Jung, Dong Ming, Implementing over 100 command codes for a high-speed hybrid brain-computer interface using concurrent P300 and SSVEP features. IEEE Transactions on Biomedical Engineering, 2020.

Ÿ   Masaki Nakanishi, Minpeng Xu (co-first), Yijun Wang, et al., Questionable Classification Accuracy Reported in” Designing a Sum of Squared Correlations Framework for Enhancing SSVEP-Based BCIs”. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020.

Ÿ   Xiaolin Xiao, Minpeng Xu (co-first), Jing Jin, Yijun Wang, Tzyy-Ping Jung, Dong Ming, Discriminative canonical pattern matching for single-trial classification of ERP components. IEEE Transactions on Biomedical Engineering, 2019.

Ÿ   Kun Wang, Minpeng Xu (co-first), Yijun Wang, Shanshan Zhang, Long Chen, Dong Ming, Enhance decoding of pre-movement EEG patterns for brain–computer interfaces. Journal of Neural Engineering, 2010:17(1), 016033.

Ÿ   Minpeng Xu*, Xiaolin Xiao, Yijun Wang, Hongzhi Qi, Tzyy-Ping Jung, Dong Ming*, A brain computer interface based on miniature event-related potentials induced by very small lateral visual stimuli, IEEE Transactions on Biomedical Engineering, 2018, 65(5): 1166-1175. (Cover story and feature story)

Ÿ   Jing Jiang, Erwei Yin, Chunhui Wang*, Minpeng Xu*, Dong Ming. Incorporation of dynamic stopping strategy into the high-speed SSVEP-based BCIs. Journal of Neural Engineering, 2018, 15(4): 046025.

Ÿ   Minpeng Xu, Yijun Wang*, Masaki Nakanishi, Yu-Te Wang, Hongzhi Qi, Tzyy-Ping Jung, Dong Ming*, Fast detection of covert visuospatial attention using hybrid N2pc and SSVEP features, Journal of Neural Engineering, 2016, 13(6), 066003

Ÿ   Minpeng Xu, Yihong Jia, Hongzhi Qi*, Yong Hu, Feng He, Xin Zhao, Peng Zhou, Baikun Wan, Wei Gao, Dong Ming*. Use of a steady-state baseline to address evoked vs. oscillation models of visual evoked potential origin. NeuroImage, 2016, 134: 204-212.

Ÿ   Minpeng Xu, Jing Liu, Long Chen, Hongzhi Qi*, Feng He, Peng Zhou, Baikun Wan, Dong Ming*. Incorporation of inter-subject information to improve the accuracy of subject-specific P300 classifiers; International Journal of Neural System, 2016, 26(3): 1650010.

Ÿ   Shuang Liu, Di Zhang, Minpeng Xu, Hongzhi Qi*, Feng He, Xin Zhao, Peng Zhou, Lixin Zhang, Dong Ming*. Randomly dividing homologous samples leads to overinflated accuracies for emotion recognition. International Journal of Psychophysiology, 2015, 96(1): 29-37.

Ÿ   Minpeng Xu, Feng He, Chunhui Wang, Hongzhi Qi, Xuejun Jiao, Peng Zhou, Lixin Zhang*, Shanguang Chen, Dong Ming*; Exploring brain-computer interfaces for use in space missions; in the booklet of Human performance in space: advancing astronautics research in China; Science, 2014, 345(6203):1522.

Ÿ   Minpeng Xu, Long Chen, Lixin Zhang, Hongzhi Qi*, Lan Ma, Jiabei Tang, Baikun Wan, Dong Ming*; A visual parallel-BCI speller based on the time–frequency coding strategy; Journal of Neural Engineering, 2014, 11(2): 026014.

Ÿ   Minpeng Xu, Hongzhi Qi*, BaikunWan, Tao Yin, Zhipeng Liu, Dong Ming*; A hybrid BCI speller paradigm combining P300 potential and the SSVEP blocking feature; Journal of Neural Engineering, 2013, 10(2): 026001. （Highlight）

Ÿ   Minpeng Xu, Hongzhi Qi*, Lan Ma, Changcheng Sun, Lixin Zhang, Baikun Wan, Tao Yin, Dong Ming*; Channel Selection Based on Phase Measurement in P300- Based Brain-Computer Interface; PloS one, 2013, 8(4): e60608.

Other Experience and Professional Memberships

2013-    Member, Chinese Society of Biomedical Engineering (CSBE)

2016-    Youth Committee Member, Rehabilitation Engineering Chapter of CSBE

2019-    Committee Member, Clinic Neural Engineering Chapter of CSBE

2019-    Committee Member, Neural Repair Chapter of Chinese Medical Doctor Association (CMDA)

Honors

2015     Young Scholar Paper Competition Award, Chinese Society of Biomedical Engineering, China

2016     Excellent doctoral thesis, Tianjin University, Tianjin

2016     Tianjin Technological Invention Award, Tianjin Science and Technology Association, Tianjin

2017     Biomedical Engineering Award, Chinese Society of Biomedical Engineering, China

2018     Excellence in Teaching Award, Tianjin University, Tianjin

2018     Youth Talents Development Project, China Association for Science and Technology, China