Team


PI


Dr. Bo Hong received his Ph.D. degree of Biomedical Engineering from Tsinghua University in 2001. From 2004 to 2005, he was a visiting scientist in the Department of Biomedical Engineering and the Center for Neural Engineering at Johns Hopkins University, USA. He is now a professor with Department of Biomedical Engineering, School of Medicine, Tsinghua University, and an investigator of McGovern Institute for Brain Research at Tsinghua. His main research interests are brain-computer interface and speech processing in the human brain. He has co-authored more than 70 papers on Nature Neuroscience, Nature Communications, PNAS, Journal of Neuroscience, NeuroImage, etc. He is currently the Associate Editor of IEEE Transactions on Biomedical Engineering.


Lab Member


Xiaojiao Yang

Postdoc

Dr. Xiaojiao Yang is currently working as a postdoctoral fellow of Prof. Bo Hong at School of Medicine, Tsinghua University .  She obtained her doctorate from West China Medical University.  She is interested in studying  how lifestyle influences brain aging using neuro-imaging technologies, like MRI, EEG/MEG.  Specifically, she wants to investigate whether the nutritional intervention will prevent cognitive decline and thus decrease the incidence of mild cognitive impairment and Alzheimer’s disease.

Yuxiang Yan

Postdoc

Yuxiang received a B.S. in Telecommunication Engineering from Beijing University of Posts and Telecommunications in 2014 and a PhD in Biomedical Engineering from Tsinghua University in 2020. He went to Martinos Imaging Center of Harvard Medical School as a visiting scholar from 2016 to 2017. His doctoral research focused on investigating the dynamic networking mechanism of human brain during resting and speech states as well as using the deep learning methods to reconstruct the functional imaging brain activities. As a postdoctoral fellow of this lab, he is currently working on building deep models to measure the epileptic and background activities of patients and evaluating the emotion, perception and memory for patients with cognitive and mental disorders.

Ruxue Wang

Ph.D.(2018)

Ruxue is interested in the neural mechanisms underlying speech processing by analyzing SEEG signals. In particular, she wants to investigate how the human brain understands the continuing discourse-level contextual meaning during natural language comprehension.

Dingkun Liu

Ph.D.(2018)

Dingkun received his undergraduate degree from Tsinghua University in Biomedical Engineering in 2018. He is broadly interested in neural decoding and brain machine interfaces. Specifically, he wants to explore the capabilities of high-level structural abstraction during human language processing, which can provide useful inspiration for current artificial intelligence.

Kang Wang

Ph.D.(2019)

Received BS and MS degrees in automation and control engineering, currently a biomedical engineering PHD candidate. Came into contact with BCI and entered the field of neural engineering when studied for master, now the main research interests are related to epilepsy mechanisms.

Yichao Li

Ph.D.(2019)

Yichao studies computational and cognitive neuroscience. His current research focuses on the spontaneous organization of macroscopic neural oscillations, especially their mathematical models. He is also interested in neurolinguistics and the neural basis of other higher cognitive functions of human. In his spare time, Yichao is obsessed with contemporary classical music, pure mathematics and evolutionary biology.

Wenzheng Li

Ph.D.(2020)

Wenzheng(the right one) got his graduate degree from the University of New South Wales in 2018, and his thesis is utilizing the FEM to optimize the design of a brand-new BCI device, optrode. Currently, his interests are half-dry EEG electrode and closed-loop neuromodulation that related to human memory function, since he is fascinated deeply by the mechanism of memory encoding, consolidation and retrieval.

Zhao Wang

Master(2018)

Zhao is currently a master student, and he is interested in the Electroencephalography (EEG) source imaging and augmented reality (AR) . He hopes to use a new visualization technology to show people the electrophysiological activities that occur inside the brain.

Fang Cai

Master(2019)

Fang Cai is a master student in Hong’s lab. Her research interest mainly focuses on neural image processing. She is now developing a toolbox to integrate the functions of brain mapping, image registration and iEEG electrode localizations.

Songnan Quan

Research Assistant(2019)

Songnan is a research assistant in Hong’s lab. She finished her Master’s degree in Phonetics & Phonology and Computational Linguistics. She is currently interested in neural encoding and perception of language.


Collaborators


Prof. Dan Zhang

School of Social Sciences, Tsinghua University

Prof. Hesheng Liu

Harvard Medical School

Dr. Wenjing Zhou

Epilepsy Center, Yuquan Hospital, Tsinghua Univerisity

Dr. Zhipei Ling

Department of Neurosurgery, PLA General Hospital, Beijing


Alumni


NameDegreeGraduate Year
Tianyi QianPh.D.2014
Li ShenPh.D.2016
Xiaopeng SiPh.D.2017
Chen SongPh.D.2018
Ning GuoPh.D.2020
Yuxiang YanPh.D.2020
Yuqian LiuMaster2011
Jing GuoMaster2012
Fei GuoMaster2012
Lingyun ZhaoMaster2013
Tao LiuMaster2013
Xiao ZhengMaster2015
Dongyang LiMaster2017
Hao HanMaster2017
Xiupeng YanMaster2018
Tong ZhaoMaster2019
Yanqin LeiMaster2020