Zhongming Liu

Principal Investigator, Associate Professor

Gerstacker 2119



Associate Professor, Department of Biomedical Engineering
Associate Professor, Department of Electrical Engineering and Computer Science
Principal Investigator, Laboratory of Integrated Brain Imaging
Director, Engineering Preclinical Imaging Center

Zhongming Liu received B.S. ('00) and M.S. ('03) in Electrical Engineering from Zhejiang University, and Ph.D. ('08) in Biomedical Engineering from the University of Minnesota advised by Bin He. Then he was a research fellow in Advanced MRI Section at the National Institutes of Health advised by Jeff Duyn. From 2013 to 2019, he was an Assistant/Associate Professor in both Biomedical Engineering and Electrical and Computer Engineering at Purdue University. In 2020, he joined the University of Michigan as a tenured Associate Professor in the Department of Biomedical Engineering, the Electrical and Computer Engineering Division of the Department of Electrical Engineering and Computer Science. At U-M, he is also the Director of Engineering Preclinical Imaging Center, and a faculty member affiliated with Michigan Institute of Data Science, Neuroscience Graduate Program, and Precision Health. He is a Senior Member of IEEE, Associate Editor for IEEE Transactions on Biomedical Engineering, and Editorial Board Member for NeuroImage. He is a member of ISMRM, OHBM, IEEE EMBS, and SfN.

His lab develops and uses advanced techniques for imaging, recording, stimulating and modeling the brain to accelerate progress in neurosciences, neural engineering, and artificial intelligence. His research has been continuously funded by NIH, NSF, DARPA etc., and has been recognized with a number of awards, including the Innovative New Scientist in Biobehavioral Research from National Institute of Mental Health, Faculty Award of Excellence from Purdue University, Best Dissertation Award from University of Minnesota, and 19 paper or abstract awards from international conferences. 

Recent Publications

  • Kim J-H, Zhang Y, Han K, Wen Z, Choi M, Liu Z., "Representation learning of resting state fMRI with variational auto-encoder," NeuroImage, https://doi.org/10.1016/j.neuroimage.2021.118423.  
  • Zhang Y, Kim JH, Brang D, Liu Z, "Naturalistic stimuli: a paradigm for multi-scale functional characterization of the human brain," Current Opinion in Biomedical Engineering, 19:100298, 2021.
  • Zhang Y, Han K, Worth RM, Liu Z, “Connecting concepts in the brain by mapping cortical representations of semantic relations,” Nature Communications, 11:1877, 2020.
  • Han K, Wen H, Shi J, Lu K-H, Zhang Y, Di Fu, Liu Z, "Variational auto-encoder: an unsupervised model for encoding and decoding fMRI activity in visual cortex," NeuroImage, 198: 125-136, 2019.
  • Cao J, Lu K-H, Oleson ST, Phillips RJ, Jaffey DM, Hendren CL, Powley TL, Liu Z, "Gastric stimulation drives fast BOLD responses of neural origin," NeuroImage, 197: 200-211, 2019.
  • Wen H, Han K, Shi J, Zhang Y, Culurciello E, Liu Z, “Deep predictive coding network for object recognition,” International Conference on Machine Learning (ICML), Proceedings of Machine Learning Research, 80: 5263-5272, 2018.
  • Han K, Wen H, Zhang Y, Fu D, Culurciello E, Liu Z, "Deep predictive coding network with local recurrent processing for object recognition," Advances in Neural Information Processing Systems (NeurIPS), 2018.
  • Lu K-H, Cao J, Oleson ST, Ward MP, Phillips RL, Powley TL, Liu Z, “Vagus nerve stimulation promotes gastric emptying by increasing pyloric opening measured with magnetic resonance imaging,” Neurogastroenterology and Motility, 30(10): e13380, 2018.
  • Wen H, Shi J., Zhang Y, Lu K-H, Cao J, Liu Z, “Neural encoding and decoding with deep learning for dynamic natural vision,” Cerebral Cortex, 28(2): 4136-4160, 2018.
  • Marussich L, Lu K-H, Wen H, Liu Z, "Mapping white-matter functional organization at rest and during naturalistic visual perception," NeuroImage, 146: 1128-1141, 2017.
  • Lu K-H, Cao J, Oleson ST, Powley TL, Liu Z, "Contrast enhanced magnetic resonance imaging of gastric emptying and motility in rats," IEEE Transactions on Biomedical Engineering, 64(11): 2546-2554, 2017.
  • Cao J, Lu K-H, Powley TL, Liu Z, “Vagal nerve stimulation triggers widespread responses and alters large-scale functional connectivity in the rat brain,” PLoS ONE, 12(2): e0189518, 2017.
  • Wen H, Liu Z, “Broadband electrophysiological dynamics contribute to global resting-state fMRI signal,” Journal of Neuroscience, 36(22): 6030-6040, 2016.
  • Wen H, Liu Z, "Separating fractal and oscillatory components in the power spectrum of neurophysiological signal," Brain Topography, 29(1): 13-26, 2016.