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Dr. Zhengwu LIU

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Dr. Zhengwu LIU
Dr. Zhengwu LIU
Research Assistant Professor
IEEE member
  3917 8413
  CB-513
Research Interests:
Memristor; Compute-in-memory (CIM); Brain Computer Interface (BCI); Physical Unclonable Function (PUF).

Biography

Dr. Zhengwu Liu is a Research Assistant Professor in Electrical and Computer Engineering at The University of Hong Kong. His research focuses on memristor-based neuromorphic computing technologies and hardware-software co-designs based on compute-in-memory architectures, and also their applications in brain-computer interfaces, signal processing and artificial intelligence. His research has been published in prestigious journals including Nature Electronics, Nature Communications, and Science Advances, with papers accepted at premier conferences such as DAC, IEDM, ICASSP, and DATE. He holds 9 patents and currently serves as Principal Investigator of the NSFC Young Scientists Fund, reviewer for Nature Communications, and Technical Program Committee member for leading conferences including ICCAD (2023-2025) and ASPDAC (2025). He received his Ph.D. from Tsinghua University (2023) and B.E. from the University of Electronic Science and Technology of China (2018).

Related Links

Selected Publications

  • Z. Liu#, J. Mei#, J. Tang*, M. Xu*, B. Gao, K. Wang, S. Ding, Q. Liu, Q. Qin, W. Chen, Y. Xi, Y. Li, P. Yao, H. Zhao, N. Wong, H. Qian, B. Hong, T.-P. Jung, D. Ming*, H. Wu*. A memristor-based adaptive neuromorphic decoder for brain–computer interfaces. Nature Electronics, 2025.
  • Z. Liu, J. Tang*, B. Gao, P. Yao, X. Li, D. Liu, Y. Zhou, H. Qian, B. Hong*, H. Wu*, “Neural signal analysis with memristor arrays towards high-efficiency brain-machine interfaces”, Nature Communications, 2020.
  • Z. Liu, J. Tang*, B. Gao, X. Li, P. Yao, Y. Lin, D. Liu, B. Hong, H. Qian, H. Wu*, “Multi-channel parallel processing of neural signals in memristor arrays”, Science Advances 2020.
  • H. Zhao#, Z. Liu#, J. Tang* B. Gao, Q. Qin, J. Li, Y. Zhou, P. Yao, Y. Xi, Y. Lin, H. Qian, H. Wu. “Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis”, Nature Communications, 2023.
  • S. Wang#, Z. Liu#*, C. Ding, C. Zhang, T. Wu, J. Zhou, N. Wong*. in 2025 62nd ACM/IEEE Design Automation Conference (DAC), accepted, 2025.