Chaoming Fang

27 papers A* 1C 7Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2025 C conf
An Area-Efficient and Bit-Width Configurable Carry-Save Adder Tree for Spiking Transformers.
ISCAS
Chaoming Fang, Ziyang Shen, Fengshi Tian, Jie Yang, Mohamad Sawan
2025 J jnl
An Energy-Efficient Unstructured Sparsity-Aware Deep SNN Accelerator With 3-D Computation Array.
IEEE J. Solid State Circuits
Chaoming Fang, Ziyang Shen, Zongsheng Wang, Chuanqing Wang, Shiqi Zhao, Fengshi Tian, Jie Yang, Mohamad Sawan
2025 J jnl
BioPI: An Energy Efficient and Low-Latency Neuromorphic Pipelined System With Joint Design Optimizations of Sensor-Algorithm-Processor for Wearable Healthcare.
IEEE Trans. Circuits Syst. Artif. Intell.
Fengshi Tian, Jinbo Chen, Jiakun Zheng, Hui Wu, Jingyu He, Xiaomeng Wang, Chaoming Fang, Yuan Yao, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting Cheng
2025 J jnl
BoostViT: Booth-Serial Skipping and Tunable Scaling for Vision Transformers.
IEEE Trans. Circuits Syst. I Regul. Pap.
Shiqi Zhao, Sibo Wang, Zhengjie Wang, Chaoming Fang, Fengshi Tian, Jinbo Chen, Changzeng Fu, Jie Yang, Mohamad Sawan
2025 — conf
E-NPU: A 34~126nJ/Class Event-Driven Adaptive Neural SoC with Signal-Dynamics-Aware Feature Clustering and Multi-Model In-Memory Inference/Training for Personalized Medical Wearables.
CICC
Fengshi Tian, Jinbo Chen, Kunming Shao, Zilu Liu, Jiakun Zheng, Hui Wu, Chaoming Fang, Xiaomeng Wang, Ziyang Shen, Pingcheng Dong, Yuan Yao, Xuliang Wang, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting Cheng
2025 C conf
NeuroEye: A 54.59mW, 12200FPS Event-Driven Near-Sensor Eye-Tracking Processor with Pipelined Spatial-Temporal Spike-Streaming.
ISCAS
Jiakun Zheng, Fengshi Tian, Jinbo Chen, Chaoming Fang, Yuan Yao, Jie Yang, Mohamad Sawan, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui
2024 — conf
A 0.078 pJ/SOP Unstructured Sparsity-Aware Spiking Attention/Convolution Processor with 3D Compute Array.
CICC
Chaoming Fang, Ziyang Shen, Shiqi Zhao, Chuanqing Wang, Fengshi Tian, Jie Yang, Mohamad Sawan
2024 C conf
Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined Architecture.
ISCAS
Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan
2024 C conf
BOLS: A Bionic Sensor-direct On-chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health Monitoring.
ISCAS
Fengshi Tian, Jiakun Zheng, Jingyu He, Jinbo Chen, Xiaomeng Wang, Chaoming Fang, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting Cheng
2024 A* conf
Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses.
ICLR
Chuanqing Wang, Di Wu, Chaoming Fang, Jie Yang, Mohamad Sawan
2024 J jnl
HybMED: A Hybrid Neural Network Training Processor With Multi-Sparsity Exploitation for Internet of Medical Things.
IEEE Trans. Biomed. Circuits Syst.
Shiqi Zhao, Chuanqing Wang, Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan
2024 — conf
Live Demonstration: Low-energy Unstructured Sparsity-aware Spiking Attention and Convolution SNN Accelerator.
BioCAS
Junzhe Wang, Chaoming Fang, Ziyang Shen, Jie Yang, Mohamad Sawan
2024 — conf
NeuroSORT: A Neuromorphic Accelerator for Spike-based Online and Real-time Tracking.
AICAS
Ziyang Shen, Xiaoxu Xie, Chaoming Fang, Fengshi Tian, Shunli Ma, Jie Yang, Mohamad Sawan
2023 J jnl
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.
Shiqi Zhao, Jie Yang, Junzhe Wang, Chaoming Fang, Tengjun Liu, Shaomin Zhang, Mohamad Sawan
2023 J jnl
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.
Chaoming Fang, Chuanqing Wang, Shiqi Zhao, Fengshi Tian, Jie Yang, Mohamad Sawan
2023 — conf
A Sparsity-Adapted Hardware Implementation of SNN for Cortical Spike Trains Decoding.
BioCAS
Tuoru Li, Jie Yang, Tengjun Liu, Shurong Dong, Chaoming Fang, Weidong Chen, Shaomin Zhang
2023 — conf
Live Demonstration: Real-time Analyses of Biosignals based on a Dedicated CMOS Configurable Deep Learning Engine.
AICAS
Junzhe Wang, Shiqi Zhao, Chaoming Fang, Jie Yang, Mohamad Sawan
2023 J jnl
Minimally Invasive Hypoglossal Nerve Stimulator Enabled by ECG Sensor and WPT to Manage Obstructive Sleep Apnea.
Sensors
Fen Xia, Hanrui Li, Yixi Li, Xing Liu, Yankun Xu, Chaoming Fang, Qiming Hou, Siyu Lin, Zhao Zhang, Jie Yang, Mohamad Sawan
2023 C conf
NBSSN: A Neuromorphic Binary Single-Spike Neural Network for Efficient Edge Intelligence.
ISCAS
Ziyang Shen, Fengshi Tian, Jingwen Jiang, Chaoming Fang, Xiaoyong Xue, Jie Yang, Mohamad Sawan
2023 — conf
NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector.
AICAS
Jinbo Chen, Hui Wu, Xing Liu, Razieh Eskandari, Fengshi Tian, Wenjun Zou, Chaoming Fang, Jie Yang, Mohamad Sawan
2023 — conf
PN-TMS: Pruned Node-fusion Tree-based Multicast Scheme for Efficient Neuromorphic Systems.
AICAS
Ziyang Shen, Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan
2023 J jnl
SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses.
Neural Networks
Chuanqing Wang, Chaoming Fang, Yong Zou, Jie Yang, Mohamad Sawan
2022 C conf
A Compact Online-Learning Spiking Neuromorphic Biosignal Processor.
ISCAS
Chaoming Fang, Ziyang Shen, Fengshi Tian, Jie Yang, Mohamad Sawan
2022 J jnl
Emerging Energy-Efficient Biosignal-Dedicated Circuit Techniques: A Tutorial Brief.
IEEE Trans. Circuits Syst. II Express Briefs
Shiqi Zhao, Chaoming Fang, Jie Yang, Mohamad Sawan
2022 C conf
NIMBLE: A Neuromorphic Learning Scheme and Memristor Based Computing-in-Memory Engine for EMG Based Hand Gesture Recognition.
ISCAS
Fengshi Tian, Jingwen Jiang, Jinhao Liang, Zhiyuan Zhang, Jiahe Shi, Chaoming Fang, Hui Wu, Xiaoyong Xue, Xiaoyang Zeng
2022 J jnl
SpikeSEE: An Energy-Efficient Dynamic Scenes Processing Framework for Retinal Prostheses.
CoRR
Chuanqing Wang, Chaoming Fang, Yong Zou, Jie Yang, Mohamad Sawan
2021 — conf
A Sort-Less FPGA-Based Non-Maximum Suppression Accelerator using Multi-Thread Computing and Binary Max Engine for Object Detection.
A-SSCC
Chaoming Fang, Habib Derbyshire, Wenyu Sun, Jinshan Yue, Haobing Shi, Yongpan Liu