NAME: Chang, Chunqi

POSITION TITLE: Professor; School of Biomedical Engineering, Shenzhen University School of Medicine

EDUCATION/TRAINING

INSTITUTION AND LOCATION	DEGREE (if applicable)	Completion Date MM/YYYY	FIELD OF STUDY
University of Science and Technology of China, Hefei, China	B. Med	07/1992	Electronic Engineering
University of Science and Technology of China, Hefei, China	M.Sc.	07/1995	Electronic Engineering
University of Hong Kong, Hong Kong	Ph.D.	12/2000	Biomedical Engineering
University of Hong Kong, Hong Kong	Postdoctoral	02/2006	Biomedical Engineering

 

A.    Research Interest

       Neuroimaging and neurolinguistics

       Neuroinformatics and neuroengineering

       Statistical signal processing and machine learning

       Bioinformatics and computational systems biology

       Brain stimulation and brain computer interface

       EEG/fMRI signal processing

 

B.    Positions and Honors

Positions and Employment

02/2006–12/2007        Research Associate, Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong

01/2008 – 12/2011      Research Assistant Professor, Department of Electrical and Electronic Engineering,                                        the University of Hong Kong, Hong Kong

01/2012 – 10/2012      Visiting Professor, Department of Linguistics, The University of Hong Kong, Hong Kong

11/2012 – 04/2015      Professor, School of Electronics and Information Sciences, Soochow University,                                             Suzhou, China

05/2015 – present       Professor, School of Biomedical Engineering, Faculty of Medicine, Shenzhen University, Shenzhen, China

 

Organizing International Meetings

1.    Organizing Committee Member for IEEE SMC 2015, Hong Kong, 2015

2.    Co-Chair for 1st International Symposium on the Scientific Study of Chinese Language, Lijiang,China, Aug 2012

3.    Co-Chair for International Symposium on Technological Development of fMRI, Guilin, China, April 2012

4.    Chair for Symposium on Brain imaging and signal processing methods in The 7th International Conference on Cognitive Science (ICCS2010), Beijing, China, Aug 2010.

5.    Organizing Committee Co-Chair for the 8th International Conference on Electronic Measurement & Instruments (ICEMI 2007), Xian, Aug 2007

 

 

C.   Research Support

Ongoing Research Support

Shenzhen Science and Technology Innovation Commission grant

                                                                                     07/2017 to 06/2020

Chunqi Chang, PI                                                               ￥2,000,000

Key issues in speech brain computer interface

 

Shenzhen Peacock starting grant                        01/2016 to 12/2018

Chunqi Chang, PI                                                               ￥5,000,000

Multimode neuroimaging and functional brain network

 

Shenzhen Peacock Team grant                                  01/2016 to 12/2020

Chunqi Chang, Co-I                                                    ￥30,000,000

Brain diseases and protection of language function

 

Guangdong Zhujiang Team grant                  04/2017 to 03/2022

Chunqi Chang, Co-I                                                    ￥20,000,000

Brain diseases and protection of language function

 

NSFC (China) (61571211)                                          01/2016-12/2019

Chunqi chang, Co-I                                                      ￥600,000

The design of transmission scheme and communication channel estimation of large scale MIMO system based on sparse representations

 

 

Completed Research Support

 

Hong Kong Research Grant Council General Research Fund (HKU 762111M)

                                                                                     07/2011 to 06/2014

Chunqi Chang, PI                                                               HK$618,000

Granger causality analysis of simultaneous EEG/fMRI signals for brain effective connectivity study with applications

 

Hong Kong Research Grant Council General Research Fund (HKU710709E)

                                                                                     01/2010 to 06/2012

Chunqi Chang, PI                                                               HK$417,000

Signal processing methods for gene regulatory network reconstruction from gene expression measurements

 

Jiangsu Province Innovation Project                                  07/2013 to 06/2016

Chunqi Chang, PI                                                        ￥1,000,000

 

973 project ( 2012CB720702)                                     01/2012 to 08/2016

Chunqi Chang, Co-I                                                     ￥8,000,000

Computational model of the brain mechanism on Chinese language processing

 

NSFC (China) (61072037)                                                 01/2011 to 12/2013

Chunqi Chang, Co-I                                                    ￥350,000

Analysis of time varying coupling lattice model of EEG and its applications

 

Hong Kong Innovation and Technology Fund (ITS/099/07)

                                                                                     10/2007 to 09/2008

Chunqi Chang, Co-I                                                    HK$472,000

Non-invasive blood glucose monitoring device

 

Hong Kong Research Grant Council General Research Fund  (HKU7130/06E)

                                                                                     09/2006 to 08/2008

Chunqi Chang, Co-I                                                    HK$431,000

Novel method for fast extraction and auto-recognition of somatosensory evoked potentials

 

Hong Kong Research Grant Council General Research Fund  (N_HKU703/03)

                                                                                     01/2004 to 12/2006

Chunqi Chang, Co-I                                                    HK$521,000

High Level Brain Activity Studies and Applications

 

Hong Kong Innovation and Technology Fund (ITS/109/02)

                                                                                     07/2003 to 06/2006

Chunqi Chang, Co-I                                                    HK$3,860,000

Non-invasive blood glucose monitoring device

 

Hong Kong Research Grant Council General Research Fund  (HKU7180/03E)

                                                                                     07/2003 to 06/2006

Chunqi Chang, Co-I                                                    HK$377,000

A symbolic signal processing approach to genomic sequence analysis

 

D.   Peer-reviewed journal publications (*: corresponding author)

1.      Wang N, Wu H, Xu M, Yang Y, Chang C*, Zeng W, Yan H, Occupational Functional Plasticity Revealed by Brain Entropy: A Resting-state fMRI Study of Seafarer, Human Brain Mapping, accepted, 2018.

2.      Wang, N., Chang, C.*, Zeng, W., Shi, Y., & Yan, H., A novel feature-map based ica model for identifying the individual, intra/inter-group brain networks across multiple fmri datasets. Frontiers in Neuroscience, 2017:11.

3.      Dai, J., Xu, W., Ye, Z., & Chang, C.* , Effective subset approach for svmpath singularities. Pattern Recognition Letters, 2017,100:51-58.

4.      Dai Jisheng，Bao Xu，Xu Weichao，Chang Chunqi*，Root Sparse Bayesian Learning for Off-Grid DOA Estimation，IEEE Signal Processing Letters，2017.01.01，24：46

5.      Xu M, Baldauf D, Chang C Q, Desimone R., and Tan L.H. Distinct distributed patterns of neural activity are associated with two languages in the bilingual brain. Science Advances, 2017, 3(7):e1603309.

6.      Dai Jisheng, Xu Weichao，Ye Zhongfu，Hu Nan，Chang Chunqi，Homotopy Approach for Energy-Efficient MIMO Systems With Zero-Forcing Transceivers，IEEE Transactions on Vehicular Technology，2017.01.01，66：1233

7.      Hu Nan，Sun Bing，Zhang Yi，Dai Jisheng，Wang Jiajun，Chang Chunqi，An Underdetermined DOA Estimation Method for Wideband Signals using Joint Nonnegative Sparse Bayesian Learning，IEEE Signal Processing Letters，2017.01.01，9908：1~5

8.      Gao Junling，Fan Jicong，Wu Bonnie W.，Halkias Georgios T.，Chau Maggie，Fung Peter C.，Chang Chunqi，Zhang Zhiguo，Hung Yeung-Sam，Sik Hinhung，Repetitive Religious Chanting Modulates the Late-Stage Brain Response to Fear- and Stress-Provoking Pictures，Frontiers in Psychology，2017.01.01，7：1~12

9.      Chen Wei，Chang Chunqi*，Hu Yong，Single-Trial Extraction of Pure Somatosensory Evoked Potential Based on Expectation Maximization Approach，IEEE Transactions on Neural Systems and Rehabilitation Engineering，2016.01.01，24：10

10.   Nan Hu，Bing Sun，Jiajun Wang，Jisheng Dai，Chunqi Chang，Source Localization for Sparse Array using Nonnegative Sparse Bayesian Learning，Signal Processing，2016.3.3，2016

11.   Junling Gao，Jicong Fan，Bonnie Wai Yan Wu，Zhiguo Zhang，Chunqi Chang，Yeung-Sam Hung，Peter Chin Wan Fung，Hin hung Sik，Entrainment of chaotic activities in brain and heart during MBSR mindfulness training，Neuroscience Letters，2016.3.11，616：218~223

12.   Xu Pei，Sun Bing，Chang Chunqi，Hu Nan，An fMRI Study of Words Processing in Chinese Language，Journal of Biosciences and Medicines，2016.01.01，04：9

13.   Dai, Jisheng，Hu, Nan，Xu, Weichao，Chang, Chunqi，Sparse bayesian learning for DOA estimation with mutual coupling，Sensors (Switzerland)，2015.10.16，15（10）：26267~26280

14.   JS Dai, WC Xu, J Zhang, and CQ Chang, “Homotopy algorithm for l1-norm minimization problems,” IET Signal Processing, vol 9, no.1, pp.1-9, Feb 2015.

15.   D D Zhang, Q Pei, H F Lee, J Zhang, C Q Chang, B Li, J Li, and X Zhang, “The pulse of imperial China: a quantitative analysis of long-term geopolitical and climatic cycles,” Global Ecology and Biogeography, vol.24, no.1, pp.87-96, Jan 2015.

16.   JW Li, HY Cui, CQ Chang, and Y Hu, “A robotic rehabilitation arm driven by somatosensory brain-computer interface,” International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering, vol.8, no.6, pp.300-303, 2014

17.   JS Dai, X Bao, N Hu, and CQ Chang*, “A recursive RARE algorithm for DOA estimation with unknown mutual coupling,” IEEE Antenna and Wireless Communication Letters, pp.1593-1596, Aug 2014.

18.   J. S. Dai and C. Q. Chang*, “Power allocation for maximizing the mac capacity via majorization,” EURASIP Journal on Advances in Signal Processing, no.113, July 2014.

19.   L. Zhu, Y. Nie, C. Q. Chang, J. H. Gao, and Z. Niu, “Different patterns and development characteristics of processing written logographic characters and alphabetic words: An ale meta- analysis,” Human Brain Mapping, vol. 35, no. 6, pp. 2607–2618, 2014.

20.   L. H. Tan, M. Xu, C. Q. Chang, and W. T. Siok, “China’s language input system in the digital age affects children’s reading development,” Proceedings of the National Academy of Sciences, vol. 110, no. 3, pp. 1119–1123, 2013.

21.   Z. Xia, W. Chen, C. Q. Chang, and X. Zhou, “A graph-based elastic net for variable selection and module identification for genomic data analysis,” International Journal of Data Mining and Bioinformatics, vol. 8, no. 3, pp. 311–325, 2013.

22.   H. F. Tam, C. Q. Chang*, and Y. S. Hung, “Gene regulatory network discovery using conditional/pairwise granger causality,” IET Systems Biology, vol. 7, no. 5, pp. 195–204, 2013.

23.   J. S. Dai, C. Q. Chang*, F. Mai, D. Zhao, and W. Xu, “On the svmpath singularity,” IEEE Trans on Neural Network and Learning Systems, vol. 24, no. 11, pp. 1736–1748, 2013.

24.   Y. Y. Leung, C. Q. Chang, and Y. S. Hung, “An integrated approach for identifying wrongly labelled samples when performing classification in microarray data,” PLoS ONE, vol. 7, no. 10, 2012.

25.   L. X. Lin, M. F. Shen, H. C. So, and C. Q. Chang*, “Convergence analysis for initial condition estimation in coupled map lattice systems,” IEEE Trans on Signal Processing, vol. 60, no. 8, pp. 4426–4432, Aug 2012.

26.   N. Jacklin, Z. Ding, W. Chen, and C. Q. Chang*, “Non-iterative convex optimization methods for network component analysis,” IEEE/ACM Trans on Computational Biology and Bioinformatics, vol. 9, no. 5, pp. 1472–1481, 2012.

27.   J. S. Dai, C. Q. Chang*, W. Xu, and Z. Ye, “Linear precoder optimization for mimo systems with joint power constraints,” IEEE Trans on Communications, vol. 60, no. 8, pp. 2240–2254, Aug 2012.

28.   S. M. Lai, Z. G. Zhang, Y. S. Hung, Z. D. Niu, and C. Q. Chang*, “A chromatic transient visual evoked potential based encoding/decoding approach for brain-computer interface,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 1, no. 4, pp. 578–589, December 2011.

29.   Q. Zhang, M. Shen, and C. Q. Chang, “A novel approach to adaptive noise reduction for sar images,” Journal of System Engineering and Electronics, vol. 33, no. 6, pp. 1420 – 1424, 2011.

30.   H. T. Liu, C. Q. Chang, K. D. K. Luk, and Y. Hu, “Comparison of Blind Source Separation Methods in Fast Somatosensory-Evoked Potential Detection,” Journal of Clinical Neurophysiology, vol. 28, no. 2, pp. 170–177, 2011.

31.   F. Mai, C. Q. Chang, and Y. S. Hung, “A subspace approach for matching 2d shapes under affine distortions,” Pattern Recognition, vol. 44, no. 2, pp. 210 – 221, 2011.

32.   X. Guo, Q. Wan, C. Q. Chang, and E. Y. Lam, “Source localization using a sparse representation framework to achieve superresolution,” Multidimensional Systems and Signal Processing, vol. 24, no. 4, pp. 391 – 402, 2010.

33.   X. Guo, C. Q. Chang, and E. Y. Lam, “Blind separation of electron paramagnetic resonance signals using diversity minimization,” Journal of Magnetic Resonance, vol. 204, no. 1, pp. 26 – 36, May 2010.

34.   M. Shen, L. Lin, J. Chen, and C. Chang*, “A prediction approach for multichannel eeg signals modeling using local wavelet svm,” IEEE Transactions on Instrumentation and Measurement, vol. 59, no. 5, pp. 1485 – 1492, May 2010.

35.   J. S. Dai, C. Q. Chang, Z. F. Ye, and Y. S. Hung, “An efficient convex nonnegative network component analysis for gene regulatory network reconstruction,” Lecture Notes in Computer Science, vol.5780(PRIB2009), pp. 56 – 66, 2009.

36.   C. Q. Chang, Z. Ding, and Y. S. Hung, “Nonnegative network component analysis by linear programming for gene regulatory network reconstruction,” Lecture Notes in Computer Science, vol.5441(ICA2009), pp. 395 – 402, 2009.

37.   J. S. Dai, C. Q. Chang*, Z. F. Ye, and Y. S. Hung, “An efficient greedy scheduler for zeroforcing dirty-paper coding,” IEEE Trans. on Communications, vol. 57, no. 7, pp. 1939 – 1943, July 2009.

38.   M. F. Shen, L. X. Lin, X. Y. Li, and C. Q. Chang, “Initial condition estimate from coupled map lattices system based on symbolic dynamics,” ACTA Physica Sinica, vol. 58, no. 5, pp. 2921– 2929, May 2009.

39.   J. C. Yao, C. Q. Chang, M. Salmi, Y. S. Hung, A. Loraine, and S. J. Roux, “Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient,” BMC Bioinformatics, vol. 9, p. 288, 2008.

40.   C. Q. Chang*, Z. Ding, Y. S. Hung, and P. C. W. Fung, “Fast network component analysis (FastNCA) for gene regulatory network reconstruction from microarray data,” Bioinformatics, vol. 24, no. 11, p. 1349, 2008.

41.   W. C. Xu, C. Q. Chang*, Y. S. Hung, and P. C. W. Fung, “Asymptotic properties of order statistics correlation coefficient in the normal cases,” IEEE Transactions on Signal Processing, vol. 56, no. 6, pp. 2239–2248, June 2008.

42.   L. Xiang, Z. Ye, X. Xu, C. Q. Chang, W. Xu, and Y. S. Hung, “Direction of arrival estimation

43.   for uniform circular array based on fourth-order cumulants in the presence of unknown mutual coupling,” IET Microwaves, Antennas & Propagation, vol. 2, no. 3, pp. 281–287, 2008.

44.   W. C. Xu, C. Q. Chang*, Y. S. Hung, S. K. Kwan, and P. C. W. Fung, “Order Statistics Correlation Coefficient as a Novel Association Measurement With Applications to Biosignal Analysis,” IEEE Transactions on Signal Processing, vol. 55, no. 12, pp. 5552–5563, 2007.

45.   J. Ren, P. C. W. Fung, C. Q. Chang, G. X. Shen, G. Lu, F. H. Y. Chan, K. J. Liu, and J. Shen, “A comparative ESR study on blood and tissue nitric oxide concentration during renal ischemia- reperfusion injury,” Applied Magnetic Resonance, vol. 32, no. 3, pp. 243–255, 2007.

46.   X. Xu, Z. Ye, Y. Zhang, and C. Q. Chang, “A Deflation Approach to Direction of Arrival Estimation for Symmetric Uniform Linear Array,” IEEE Antennas and Wireless Propagation Letters, vol. 5, no. 1, pp. 486–489, 2006.

47.   C. Q. Chang, W. C. Xu, Y. S. Hung, and P. C. W. Fung, “Nonlinear dynamic characterization of intra-atrial ecg signals,” Biomedizinische Technik, vol. 51, no. 4, p. A7, 2006.

48.   K. H. Ting, P. C. W. Fung, C. Q. Chang, and F. H. Y. Chan, “Automatic correction of artifact from single-trial event-related potentials by blind source separation using second order statistics only,” Medical Engineering and Physics, vol. 28, no. 8, pp. 780–794, 2006.

49.   W. Qiu, C. Q. Chang, W. Liu, P. W. F. Poon, Y. Hu, F. K. Lam, R. P. Hamernik, G. Wei, and F. H. Y. Chan, “Real-time data-reusing adaptive learning of a radial basis function network for tracking evoked potentials,” IEEE Transactions on Biomedical Engineering, vol. 53, no. 2, pp.226–237, Feb. 2006.

50.   C. Q. Chang, P. C. W. Fung, and Y. S. Hung, “On a sparse component analysis approach to blind source separation,” Lecture Notes in Computer Science, vol. 3889(ICA2006), pp. 765–772, 2006.

51.   R. A. Xu, M. Rahimi, H. Ma, P. C. W. Fung, C. Q. Chang, S. Xu, and M. During, “Stability of infectious recombinant adeno-associated viral vector in gene delivery,” Medical Science Monitor, vol. 11, no. 9, pp. BR305–BR308, 2005.

52.   Y. Hu, B. S. C. Lam, C. Q. Chang, F. H. Y. Chan, W. W. Lu, and K. D. K. Luk, “Adaptive signal enhancement of somatosensory evoked potential for spinal cord compression detection: an experimental study,” Computers in Biology and Medicine, vol. 35, no. 9, pp. 814–828, 2005.

53.   B. S. C. Lam, Y. Hu, W. W. Lu, K. D. K. Luk, C. Q. Chang, W. Qiu, and F. H. Y. Chan, “Multi- adaptive filtering technique for surface somatosensory evoked potentials processing,” Medical Engineering and Physics, vol. 27, no. 3, pp. 257–266, 2005.

54.   C. Q. Chang, J. Ren, P. C. W. Fung, Y. S. Hung, J. G. Shen, and F. H. Y. Chan, “Novel sparse component analysis approach to free radical EPR spectra decomposition,” Journal of Magnetic Resonance, vol. 175, no. 2, pp. 242–255, 2005.

55.   J. Y. Ren, C. Q. Chang, P. C. W. Fung, J. G. Shen, and F. H. Y. Chan, “Free radical EPR spectroscopy analysis using blind source separation,” Journal of Magnetic Resonance, vol. 166, no. 1, pp. 82–91, 2004.

56.   C. Q. Chang, Z. Ding, S. F. Yau, and F. H. Y. Chan, “A matrix-pencil approach to blind separation of colored nonstationary signals,” IEEE Transactions on Signal Processing, vol. 48, no. 3, pp. 900–907, 2000.

57.   C. Q. Chang, S. F. Yau, P. Kwok, F. H. Y. Chan, and F. K. Lam, “Uncorrelated component analysis for blind source separation,” Circuits, Systems, and Signal Processing, vol. 18, no. 3, pp. 225–239,1999.

58.   F. L. Shen and C. Q. Chang, “Rapid convergence of beam pattern in adaptive digital beamforming,” ACTA Electronica Sinica, vol. 24, pp. 32–37, 1996.

59.   C. Q. Chang and B. H. Lu, “A new method of seismic inversion,” Journal of Data Acquisition & Processing, vol. 8, no. 2, pp. 109–115, 1993.