Fengshi Tian

According to our database, Fengshi Tian authored at least 21 papers between 2021 and 2023.

Collaborative distances:

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

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.

Jingwen Jiang, Keji Zhou, Jinhao Liang, Fengshi Tian, Chenyang Zhao, Jianguo Yang, Xiaoyong Xue, Xiaoyang Zeng

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.

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

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.

Xiaomeng Wang, Fengshi Tian, Xizi Chen, Jiakun Zheng, Xuejiao Liu, Fengbin Tu, Jie Yang, Mohamad Sawan, Kwang-Ting Cheng, Chi-Ying Tsui

CoRR, 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

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

Fengshi Tian, Xiaomeng Wang, Jinbo Chen, Jiakun Zheng, Hui Wu, Xuejiao Liu, Fengbin Tu, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting (Tim) Cheng

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

AutoDCIM: An Automated Digital CIM Compiler.

Jia Chen, Fengbin Tu, Kunming Shao, Fengshi Tian, Xiao Huo, Chi-Ying Tsui, Kwang-Ting Cheng

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

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

Xizi Chen, Rui Pan, Xiaomeng Wang, Fengshi Tian, Chi-Ying Tsui

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.

Fengshi Tian, Shiqi Zhao, Jingyu He, Jinbo Chen, Xiaomeng Wang, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, 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.

Hanrui Li, Fengshi Tian, Jie Yang, Mohamad Sawan, Nazek El-Atab

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

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

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

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.

Fengshi Tian, Xiaomeng Wang, Jinbo Chen, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, 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.

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

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.

Hanrui Li, Aijaz H. Lone, Fengshi Tian, Jie Yang, Mohamad Sawan, Nazek El-Atab

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

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

Jingyu He, Ziyang Shen, Fengshi Tian, Jinbo Chen, Jie Yang, Mohamad Sawan, Hsiang-Ting Chen, Paul Bogdan, Chi-Ying Tsui

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

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

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

Jinbo Chen, Fengshi Tian, Jie Yang, Mohamad Sawan

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.

Xiaomeng Wang, Xuejiao Liu, Xianghong Hu, Xiaopeng Zhong, Xizi Chen, Yu Liu, Patrick Kong, Fengshi Tian, Chi-Ying Tsui

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

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

Hanrui Li, Junzhe Wang, Shiqi Zhao, Fengshi Tian, Jie Yang, Mohamad Sawan

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

2021

A New Neuromorphic Computing Approach for Epileptic Seizure Prediction.

Fengshi Tian, Jie Yang, Shiqi Zhao, Mohamad Sawan

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