Yijun Wang

Position:

Postdoctoral Researcher

Address:

Swartz Center for Computational Neuroscience

University of California, San Diego

Regents Medical Center, Suite 320

4150 Regents Park Row, CA, 92037.

Voice:

(858) 458-1927 x15

Fax:

(858) 458-1847

Email:

yijun@sccn.ucsd.edu

 

 

 

I am working with Dr. Scott Makeig and Dr. Tzyy-Ping Jung on analysis and modeling of cognitive event-related brain dynamics.

 

Education:

1997-2001  BE, Dept. of Biomedical Engineering, Tsinghua University, China

2001-2007  Ph.D., Dept. of Biomedical Engineering, Tsinghua University, China

Supervisor:  Prof. Shangkai Gao (Institute of Neural Engineering, Tsinghua University)

 

Research Interests:

EEG Based Brain-Computer Interfaces

Multimodal Neuroimaging

Mobile Brain Imaging

 

Research

Experiences:

2002-2005  A practical steady-state visual evoked potential-based brain-computer interface

2003-2005  Classifying single-trial EEGs during finger typing and motor imagery

2005-2007  A brain-computer interface based on motor imagery

2006-2007  Designs toward practical brain-computer interfaces

 

Publications:

Y. Wang, Z. Zhang, Y. Li, and X. Gao, "An algorithm for classifying single-trial EEG during self-paced finger movement", in Proc. CBME Conf., 2003.

Y. Wang, Z. Zhang, Y. Li, X. Gao, S. Gao and F. Yang, "BCI Competition 2003 Dataset IV: an algorithm based on CSSD and FDA for classifying single-trial EEG", IEEE Trans. Biomed. Eng., vol.51, no.6, pp.1081-1086, 2004.

Y. Wang, Z. Zhang, X. Gao, and S. Gao, "Lead selection for SSVEP based brain-computer interface", in Proc. 26th Int. IEEE EMBS Conf., 2004.

Y. Wang, R. Wang, X. Gao, and S. Gao, "Brain-computer interface based on the high frequency SSVEP", in Proc. 1st Int. NIC. Conf., 2005.

Y. Wang, X. Gao, and S. Gao, "Common spatial pattern method for channel selection in motor imagery based brain-computer interface", in Proc. 27th Int. IEEE EMBS Conf., 2005.

Y. Wang, R. Wang, B. Hong, X. Gao, and S. Gao, "A practical VEP-based brain-computer interface", IEEE Trans. Neural Syst. Rehab. Eng.,vol.14, no.2, pp.234-239, 2006.

Y. Wang, B. Hong, X. Gao, and S. Gao, "Phase synchrony measurement in motor cortex for classifying single-trial EEG during motor imagery", in Proc. 28th Int. IEEE EMBS Conf., 2006.

S. Choi, M. Lee, Y. Wang, and B. Hong, "Estimation of optimal location of EEG reference electrode for motor imagery based BCI using fMRI", in Proc. 28th Int. IEEE EMBS Conf., 2006.

Y. Wang, B. Hong, X. Gao, and S. Gao, "Design of electrode layout for motor imagery based brain-computer interface", Electron. Lett., vol.43, no.10, pp.557-558, 2007.

Q. Wei, Y. Wang, X. Gao, and S. Gao, "Amplitude and phase coupling measures for feature extraction in an EEG-based brain-computer interface", J. Neural Eng., vol.4, pp.120-129, 2007.

D. Zhang, Y. Wang, X. Gao, B. Hong, and S. Gao, "An algorithm for idle state detection in motor imagery based brain-computer interface ", Computational Intelligence and Neuroscience, vol.2007, Article ID 39714, 9 pages, 2007.

Q. Wei, F. Meng, Y. Wang, X. Gao, and S. Gao, "Feature combination for classifying single-trial ECoG during motor imagery of different sessions", Prog. Nat. Sci., vol.17, no.7, pp.851-858, 2007.

Y. Ma, Y. Wang, X. Gao, and S. Gao, "Virtual reality rehabilitation training platform based on brain computer Interface (BCI)", Chinese J. Biomed. Eng., vol.26, no.3, pp.373-378, 2007.

Y. Wang, B. Hong, X. Gao, and S. Gao, "Integrating power and phase features for multi-class motor imagery based brain-computer interface ", in Proc. CBME Conf., 2007.

D. Zhang, Y. Wang, A. Maye, A. K. Engel, X. Gao, and S. Gao, "A brain-computer interface based on multimodal attention", in Proc. 3rd IEEE Neural Eng. Conf., 2007.

Y. Wang, B. Hong, X. Gao, and S. Gao, "Implementation of a brain-computer interface based on three states of motor imagery", in Proc. 29th Int. IEEE EMBS Conf., 2007.

Q. Wei, X. Gao, Y. Wang, and S. Gao, "Study on classification algorithms of a brain-computer interface based on multi-channel linear descriptors", Chinese J. Biomed. Eng., vol.26, no.6, 2007.

Y. Wang, "Brain-Computer Interfaces Based on Modulation of Brain Rhythms (in Chinese)", Ph. D. thesis, Tsinghua University, Beijing, China, 2007.

Y. Wang, X. Gao, B. Hong, C. Jia, and S. Gao, "Brain-Computer Interfaces Based on Visual Evoked Potentials: Feasibility of Practical System Designs ", IEEE EMB. Mag., vol.27, no.5, pp.64-71, 2008.

Y. Wang, S. Makeig, "Predicting Intended Movement Direction Using EEG from Human Posterior Parietal Cortex ", in D.D. Schmorrow et al. (Eds.): Augmented Cognition, HCII 2009, LNAI 5638, pp. 437-446, 2009.

Y. Wang, S. Makeig, "Decoding Intended Movement from Human EEG in the Posterior Parietal Cortex", in Proc. 15th HBM Conf., 2009. (poster)

Y. Wang, X. Gao, B. Hong, and S. Gao, "Practical designs of brain-computer interfaces based on the modulation of EEG rhythms", in B. Graimann, G. Pfurtscheller (Eds.) Invasive and Non-Invasive Brain-Computer Interfaces, Springer, The Frontiers Collection, 2009.

B. Hong, Y. Wang, X. Gao, and S. Gao, "Quantitative EEG Based Brain Computer Interface", in S. Tong, N. Thakor (Eds.) Quantitative EEG Analysis Methods and the Applications, Artech House, 2009.

Y. Wang, T. Toellner, K. Gramann, and S. Makeig, "Theta oscillations in the medial frontal cortex during response preparation", Society for Neuroscience, Chicago, IL, October, 2009.

Honors&

Awards:

Winner of BCI Competition 2003 Data Set IV, 2003

Winner of BCI Competition III Data Set I/IVa/IVc, 2005

Winner of Poster Contest in the Third International BCI Meeting, New York, 2005

First Prize of Outstanding Doctoral Dissertation Award of Tsinghua University, 2007

Second Prize of Natural Science Award (Science and Technology Award, MOE of China), 2007