Chaoming Fang

According to our database, Chaoming Fang authored at least 13 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Minimally Invasive Hypoglossal Nerve Stimulator Enabled by ECG Sensor and WPT to Manage Obstructive Sleep Apnea.

Fen Xia, Hanrui Li, Yixi Li, Xing Liu, Yankun Xu, Chaoming Fang, Qiming Hou, Siyu Lin, Zhao Zhang, Jie Yang, Mohamad Sawan

Sensors, November, 2023

SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses.

Chuanqing Wang, Chaoming Fang, Yong Zou, Jie Yang, Mohamad Sawan

Neural Networks, July, 2023

A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses.

Shiqi Zhao, Jie Yang, Junzhe Wang, Chaoming Fang, Tengjun Liu, Shaomin Zhang, Mohamad Sawan

IEEE Trans. Biomed. Circuits Syst., June, 2023

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.

Chaoming Fang, Chuanqing Wang, Shiqi Zhao, Fengshi Tian, Jie Yang, Mohamad Sawan

IEEE Trans. Biomed. Circuits Syst., June, 2023

NBSSN: A Neuromorphic Binary Single-Spike Neural Network for Efficient Edge Intelligence.

Ziyang Shen, Fengshi Tian, Jingwen Jiang, Chaoming Fang, Xiaoyong Xue, Jie Yang, Mohamad Sawan

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

A Sparsity-Adapted Hardware Implementation of SNN for Cortical Spike Trains Decoding.

Tuoru Li, Jie Yang, Tengjun Liu, Shurong Dong, Chaoming Fang, Weidong Chen, Shaomin Zhang

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

Live Demonstration: Real-time Analyses of Biosignals based on a Dedicated CMOS Configurable Deep Learning Engine.

Junzhe Wang, Shiqi Zhao, Chaoming Fang, Jie Yang, Mohamad Sawan

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

PN-TMS: Pruned Node-fusion Tree-based Multicast Scheme for Efficient Neuromorphic Systems.

Ziyang Shen, Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector.

Jinbo Chen, Hui Wu, Xing Liu, Razieh Eskandari, Fengshi Tian, Wenjun Zou, Chaoming Fang, Jie Yang, Mohamad Sawan

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

Emerging Energy-Efficient Biosignal-Dedicated Circuit Techniques: A Tutorial Brief.

Shiqi Zhao, Chaoming Fang, Jie Yang, Mohamad Sawan

IEEE Trans. Circuits Syst. II Express Briefs, 2022

NIMBLE: A Neuromorphic Learning Scheme and Memristor Based Computing-in-Memory Engine for EMG Based Hand Gesture Recognition.

Fengshi Tian, Jingwen Jiang, Jinhao Liang, Zhiyuan Zhang, Jiahe Shi, Chaoming Fang, Hui Wu, Xiaoyong Xue, Xiaoyang Zeng

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

A Compact Online-Learning Spiking Neuromorphic Biosignal Processor.

Chaoming Fang, Ziyang Shen, Fengshi Tian, Jie Yang, Mohamad Sawan

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021

A Sort-Less FPGA-Based Non-Maximum Suppression Accelerator using Multi-Thread Computing and Binary Max Engine for Object Detection.

Chaoming Fang, Habib Derbyshire, Wenyu Sun, Jinshan Yue, Haobing Shi, Yongpan Liu

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021