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ORCIDHui Wu 0010
Person information
- affiliation: Westlake University, School of Engineering, CenBRAIN Neurotech, Hangzhou, China
- affiliation (former): Fudan University, School of Information Science and Technology, Shanghai, China
Other persons with the same name
- Hui Wu — disambiguation page
- Hui Wu 0001
![[0000-0002-7135-4397]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7135-4397")
— University of New South Wales, Sydney, Australia - Hui Wu 0002 — Tsinghua University, Beijing, China
- Hui Wu 0003 — Xi'an Jiaotong University, Xi'an, China
- Hui Wu 0004 — Shanghai Lixin University of Accounting and Finance, Shanghai, China
- Hui Wu 0005 — Peking University, Beijing, China
- Hui Wu 0006 — University of North Carolina, Charlotte, NC, USA
- Hui Wu 0007 — University of Rochester, Rochester, NY, USA
- Hui Wu 0008 — National University of Defense Technology (NUDT), Changsha, China
- Hui Wu 0009 — IBM T.J. Watson Research Center, MIT-IBM Watson AI Lab, USA
- Hui Wu 0011 — Oakland University, Computer Science and Engineering Department, Rochester, MI, USA
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2020 – today
- 2024
[c10]Xing Liu, Wenjun Zou, Hui Wu, Jinbo Chen, Jie Yang, Mohamad Sawan:
A Reconfigurable RF Energy Harvesting Front-end Interface for Biomedical Applications. BioCAS 2024: 1-4- [c9]Wenjun Zou, Razieh Eskandari, Xing Liu, Jinbo Chen, Yijun Ye, Hui Wu, Jie Yang, Mohamad Sawan:
A 34 μW and 3.4 pJ/b IR-UWB Transmitter Featuring Spectrum Tunability for Brain-Machine Interfaces. BioCAS 2024: 1-4 - [c8]Jinbo Chen, Hui Wu, Razieh Eskandari, Xing Liu, Siyu Lin, Qiming Hou, Fengshi Tian, Wenjun Zou, Jie Yang, Mohamad Sawan:
A Neuron-Inspired 0.0032mm2-1.38μW/Ch Wireless Implantable Neural Interface with Direct Multiplexing Front-End and Event-Driven Spike Detection and Transmission. CICC 2024: 1-2 - [c7]Jinbo Chen, Hui Wu, Fengshi Tian, Qiming Hou, Siyu Lin, Jie Yang, Mohamad Sawan:
A Low-Power Level-Crossing Analog-to-Spike Converter Intended for Neuromorphic Biomedical Applications. ISCAS 2024: 1-5 - [i1]Kunming Shao, Fengshi Tian, Xiaomeng Wang, Jiakun Zheng, Jia Chen, Jingyu He, Hui Wu, Jinbo Chen, Xihao Guan, Yi Deng, Fengbin Tu, Jie Yang, Mohamad Sawan, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui:
SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis. CoRR abs/2411.16806 (2024) - 2023
- [j2]Hui Wu, Jinbo Chen, Xing Liu, Wenjun Zou, Jie Yang, Mohamad Sawan:
An Energy-Efficient Small-Area Configurable Analog Front-End Interface for Diverse Biosignals Recording. IEEE Trans. Biomed. Circuits Syst. 17(4): 818-830 (2023) - [c6]Jinbo Chen, Hui Wu, Xing Liu, Razieh Eskandari, Fengshi Tian, Wenjun Zou, Chaoming Fang, Jie Yang, Mohamad Sawan:
NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector. AICAS 2023: 1-5 - [c5]Jinbo Chen, Xing Liu, Hui Wu, Fengshi Tian, Wenjun Zou, Mostafa Katebi, Razieh Eskandari, Jie Yang, Mohamad Sawan:
A Clockless Robust Bionic Spike Detector for Implantable Brain-Computer Interfaces. BioCAS 2023: 1-5 - [c4]Fengshi Tian, Xiaomeng Wang, Jinbo Chen, Jiakun Zheng, Hui Wu, Xuejiao Liu, Fengbin Tu, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting (Tim) Cheng:
BIOS: A 40nm Bionic Sensor-defined 0.47pJ/SOP, 268.7TSOPs/W Configurable Spiking Neuron-in-Memory Processor for Wearable Healthcare. ESSCIRC 2023: 225-228 - 2022
- [j1]Jinbo Chen, Mahdi Tarkhan, Hui Wu, Fereidoon Hashemi Noshahr, Jie Yang, Mohamad Sawan:
Recent Trends and Future Prospects of Neural Recording Circuits and Systems: A Tutorial Brief. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2654-2660 (2022) - [c3]Jinbo Chen, Hui Wu, Jie Yang, Mohamad Sawan:
A 97 fJ/Conversion Neuron-ADC with Reconfigurable Sampling and Static Power Reduction. APCCAS 2022: 73-76 - [c2]Hui Wu, Xing Liu, Jie Yang, Mohamad Sawan:
A Power-Efficient Source-Follower Based Tunable Pseudo-RC Low-Pass Filter for Wearable Biomedical Applications. BioCAS 2022: 178-182 - [c1]Fengshi Tian, Jingwen Jiang, Jinhao Liang, Zhiyuan Zhang, Jiahe Shi, Chaoming Fang, Hui Wu, Xiaoyong Xue, Xiaoyang Zeng:
NIMBLE: A Neuromorphic Learning Scheme and Memristor Based Computing-in-Memory Engine for EMG Based Hand Gesture Recognition. ISCAS 2022: 2695-2699
Coauthor Index
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