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Chaoming Fang
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2020 – today
- 2024
- [j6]Shiqi Zhao
, Chuanqing Wang
HybMED: A Hybrid Neural Network Training Processor With Multi-Sparsity Exploitation for Internet of Medical Things. IEEE Trans. Biomed. Circuits Syst. 18(5): 1178-1189 (2024) - [c14]Ziyang Shen, Xiaoxu Xie, Chaoming Fang, Fengshi Tian, Shunli Ma, Jie Yang, Mohamad Sawan:
NeuroSORT: A Neuromorphic Accelerator for Spike-based Online and Real-time Tracking. AICAS 2024: 312-316 - [c13]Junzhe Wang, Chaoming Fang, Ziyang Shen, Jie Yang, Mohamad Sawan:
Live Demonstration: Low-energy Unstructured Sparsity-aware Spiking Attention and Convolution SNN Accelerator. BioCAS 2024: 1 - [c12]Chaoming Fang, Ziyang Shen, Shiqi Zhao, Chuanqing Wang, Fengshi Tian, Jie Yang, Mohamad Sawan:
A 0.078 pJ/SOP Unstructured Sparsity-Aware Spiking Attention/Convolution Processor with 3D Compute Array. CICC 2024: 1-2 - [c11]Chuanqing Wang, Di Wu, Chaoming Fang, Jie Yang, Mohamad Sawan:
Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses. ICLR 2024 - [c10]Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan:
Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined Architecture. ISCAS 2024: 1-5 - [c9]Fengshi Tian, Jiakun Zheng, Jingyu He, Jinbo Chen, Xiaomeng Wang, Chaoming Fang, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting Cheng:
BOLS: A Bionic Sensor-direct On-chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health Monitoring. ISCAS 2024: 1-5 - 2023
- [j5]Chuanqing Wang
SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses. Neural Networks 164: 357-368 (2023) - [j4]Fen Xia
Minimally Invasive Hypoglossal Nerve Stimulator Enabled by ECG Sensor and WPT to Manage Obstructive Sleep Apnea. Sensors 23(21): 8882 (2023) - [j3]Chaoming Fang
A 510 $\mu$W 0.738-mm$^{2}$ 6.2-pJ/SOP Online Learning Multi-Topology SNN Processor With Unified Computation Engine in 40-nm CMOS. IEEE Trans. Biomed. Circuits Syst. 17(3): 507-520 (2023) - [j2]Shiqi Zhao
A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses. IEEE Trans. Biomed. Circuits Syst. 17(3): 598-609 (2023) - [c8]Jinbo Chen, Hui Wu, Xing Liu, Razieh Eskandari
NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector. AICAS 2023: 1-5 - [c7]Ziyang Shen, Chaoming Fang, Fengshi Tian
PN-TMS: Pruned Node-fusion Tree-based Multicast Scheme for Efficient Neuromorphic Systems. AICAS 2023: 1-5 - [c6]Junzhe Wang, Shiqi Zhao, Chaoming Fang, Jie Yang, Mohamad Sawan:
Live Demonstration: Real-time Analyses of Biosignals based on a Dedicated CMOS Configurable Deep Learning Engine. AICAS 2023: 1-2 - [c5]Tuoru Li, Jie Yang, Tengjun Liu, Shurong Dong, Chaoming Fang, Weidong Chen, Shaomin Zhang:
A Sparsity-Adapted Hardware Implementation of SNN for Cortical Spike Trains Decoding. BioCAS 2023: 1-4 - [c4]Ziyang Shen, Fengshi Tian
NBSSN: A Neuromorphic Binary Single-Spike Neural Network for Efficient Edge Intelligence. ISCAS 2023: 1-5 - 2022
- [j1]Shiqi Zhao
Emerging Energy-Efficient Biosignal-Dedicated Circuit Techniques: A Tutorial Brief. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2592-2597 (2022) - [c3]Chaoming Fang, Ziyang Shen, Fengshi Tian
A Compact Online-Learning Spiking Neuromorphic Biosignal Processor. ISCAS 2022: 2147-2151 - [c2]Fengshi Tian
NIMBLE: A Neuromorphic Learning Scheme and Memristor Based Computing-in-Memory Engine for EMG Based Hand Gesture Recognition. ISCAS 2022: 2695-2699 - [i1]Chuanqing Wang, Chaoming Fang, Yong Zou, Jie Yang, Mohamad Sawan:
SpikeSEE: An Energy-Efficient Dynamic Scenes Processing Framework for Retinal Prostheses. CoRR abs/2209.07898 (2022) - 2021
- [c1]Chaoming Fang, Habib Derbyshire, Wenyu Sun, Jinshan Yue, Haobing Shi, Yongpan Liu:
A Sort-Less FPGA-Based Non-Maximum Suppression Accelerator using Multi-Thread Computing and Binary Max Engine for Object Detection. A-SSCC 2021: 1-3
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