Biography
I am currently a Research Assistant Professor in the Department of Electrical and Electronic Engineering at the University of
Hong Kong (HKU). I earned my Ph.D. degree from the School of Integrated Circuits at Tsinghua University (THU) in 2023,
following my Bachelor of Engineering degree in Microelectronics from the University of Electronic Science and Technology of
China (UESTC) in 2018.
My research interests include compute-in-memory, brain-computer interface and biomedical information processing.
Recent News
- 2024.08 - I presented research findings at a seminar in HKU.
- 2024.07 - I delivered a presentation at the HAIHE Exchange Forum for Postdoctoral Researchers in New Medical Sciences and Biomedicine in Tianjin, China.
- 2024.04 - I showcased a poster at the 2024 International Conference of Brain-On-A-Chip (BOC) in Tianjin, China.
- 2024.03 - We released a collaborative preprint titled 'Memristor chip-enabled adaptive neuromorphic decoder for co-evolutional brain-computer interfaces'.
Publications & Preprints
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Neural signal analysis with memristor arrays towards high-efficiency brain-machine interfaces
- Zhengwu Liu, Jianshi Tang, Bin Gao, Peng Yao, Xinyi Li, Dingkun Liu, Ying Zhou, He Qian, Bo Hong, Huaqiang Wu.
- Nature communications, 2020 (research paper) [pdf]
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Multichannel parallel processing of neural signals in memristor arrays
- Zhengwu Liu, Jianshi Tang, Bin Gao, Xinyi Li, Peng Yao, Yudeng Lin, Dingkun Liu, Bo Hong, He Qian, Huaqiang Wu.
- Science advances, 2020 (research paper) [pdf]
-
Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis
- Han Zhao†, Zhengwu Liu†, Jianshi Tang, Bin Gao, Qi Qin, Jiaming Li, Ying Zhou, Peng Yao, Yue Xi, Yudeng Lin, He Qian, Huaqiang Wu.
- Nature communications, 2023 [pdf]
-
Implementation of discrete Fourier transform using RRAM arrays with quasi-analog mapping for high-fidelity medical image reconstruction
- Han Zhao†, Zhengwu Liu†, Jianshi Tang, Bin Gao, Ying Zhou, Peng Yao, Yue Xi, He Qian, Huaqiang Wu.
- IEEE IEDM, 2021 (Research paper) [pdf]
(Last updated on Oct., 2024)