Chaoming Fang

Orcid: 0000-0001-8830-1294

According to our database1, Chaoming Fang authored at least 19 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
HybMED: A Hybrid Neural Network Training Processor With Multi-Sparsity Exploitation for Internet of Medical Things.
IEEE Trans. Biomed. Circuits Syst., October, 2024

BOLS: A Bionic Sensor-direct On-chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health Monitoring.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined Architecture.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A 0.078 pJ/SOP Unstructured Sparsity-Aware Spiking Attention/Convolution Processor with 3D Compute Array.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

NeuroSORT: A Neuromorphic Accelerator for Spike-based Online and Real-time Tracking.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
Minimally Invasive Hypoglossal Nerve Stimulator Enabled by ECG Sensor and WPT to Manage Obstructive Sleep Apnea.
Sensors, November, 2023

SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses.
Neural Networks, July, 2023

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

NBSSN: A Neuromorphic Binary Single-Spike Neural Network for Efficient Edge Intelligence.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

A Sparsity-Adapted Hardware Implementation of SNN for Cortical Spike Trains Decoding.
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.
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.
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.
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.
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.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

A Compact Online-Learning Spiking Neuromorphic Biosignal Processor.
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.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021


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