A Neuron-Inspired 0.0032mm<sup>2</sup>-1.38μW/Ch Wireless Implantable Neural Interface with Direct Multiplexing Front-End and Event-Driven Spike Detection and Transmission.

[BibT_eX]

[DOI]

Jinbo Chen

Hui Wu

Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

NeuroSORT: A Neuromorphic Accelerator for Spike-based Online and Real-time Tracking.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

Tempo-CIM: A RRAM Compute-in-Memory Neuromorphic Accelerator With Area-Efficient LIF Neuron and Split-Train-Merged-Inference Algorithm for Edge AI Applications.

[BibT_eX]

[DOI]

IEEE J. Emerg. Sel. Topics Circuits Syst., December, 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.

[BibT_eX]

[DOI]

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

A 137.5 TOPS/W SRAM Compute-in-Memory Macro with 9-b Memory Cell-Embedded ADCs and Signal Margin Enhancement Techniques for AI Edge Applications.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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

BIOS: A 40nm Bionic Sensor-defined 0.47pJ/SOP, 268.7TSOPs/W Configurable Spiking Neuron-in-Memory Processor for Wearable Healthcare.

[BibT_eX]

[DOI]

Kwang-Ting (Tim) Cheng

Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

AutoDCIM: An Automated Digital CIM Compiler.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Late Breaking Results: Weight Decay is ALL You Need for Neural Network Sparsification.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

NOLS: A Near-sensor On-chip Learning System with Direct Feedback Alignment for Personalized Wearable Heart Health Monitoring.

[BibT_eX]

[DOI]

Kwang-Ting (Tim) Cheng

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

NMBNN: Noise-Adaptive Memristive Bayesian Neural Network for Energy-Efficient Edge Health Care.

[BibT_eX]

[DOI]

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

A Clockless Robust Bionic Spike Detector for Implantable Brain-Computer Interfaces.

[BibT_eX]

[DOI]

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

Binary is All You Need: Ultra-Efficient Arrhythmia Detection with a Binary-Only Compressive System.

[BibT_eX]

[DOI]

Kwang-Ting (Tim) Cheng

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.

[BibT_eX]

[DOI]

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

Novel Knowledge Distillation to Improve Training Accuracy of Spin-based SNN.

[BibT_eX]

[DOI]

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

SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

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

A Compact Online-Learning Spiking Neuromorphic Biosignal Processor.

[BibT_eX]

[DOI]

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

An Event-Driven Compressive Neuromorphic System for Cardiac Arrhythmia Detection.

[BibT_eX]

[DOI]

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

TAC-RAM: A 65nm 4Kb SRAM Computing-in-Memory Design with 57.55 TOPS/W supporting Multibit Matrix-Vector Multiplication for Binarized Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

Real-time Biosignal Recording and Machine-Learning Analysis System.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

A New Neuromorphic Computing Approach for Epileptic Seizure Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Fengshi Tian

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...