Fengshi Tian

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 29

Top Topics

Gesture Recognition

Health Monitoring

Epileptic Seizures

Top Venues

Publications

Xianbin Li, Jiaqi Liu, Yuying Zhang, Yinyi Liu, Jiaxu Zhang, Chengeng Li, Shixi Chen, Yuxiang Fu, Fengshi Tian, Wei Zhang, Jiang Xu
PhotonNTT: Energy-Efficient Parallel Photonic Number Theoretic Transform Accelerator. DATE (2024)
Chaoming Fang, Ziyang Shen, Shiqi Zhao, Chuanqing Wang, Fengshi Tian, Jie Yang, Mohamad Sawan
A 0.078 pJ/SOP Unstructured Sparsity-Aware Spiking Attention/Convolution Processor with 3D Compute Array. CICC (2024)
Ziyang Shen, Xiaoxu Xie, Chaoming Fang, Fengshi Tian, Shunli Ma, Jie Yang, Mohamad Sawan
NeuroSORT: A Neuromorphic Accelerator for Spike-based Online and Real-time Tracking. AICAS (2024)
Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan
Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined Architecture. ISCAS (2024)
Jinbo Chen, Hui Wu, Razieh Eskandari, Xing Liu, Siyu Lin, Qiming Hou, Fengshi Tian, Wenjun Zou, Jie Yang, Mohamad Sawan
-1.38μW/Ch Wireless Implantable Neural Interface with Direct Multiplexing Front-End and Event-Driven Spike Detection and Transmission. CICC (2024)
Jinbo Chen, Hui Wu, Fengshi Tian, Qiming Hou, Siyu Lin, Jie Yang, Mohamad Sawan
A Low-Power Level-Crossing Analog-to-Spike Converter Intended for Neuromorphic Biomedical Applications. ISCAS (2024)
Fengshi Tian, Jiakun Zheng, Jingyu He, Jinbo Chen, Xiaomeng Wang, Chaoming Fang, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting Cheng
BOLS: A Bionic Sensor-direct On-chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health Monitoring. ISCAS (2024)
Jingyu He, Ziyang Shen, Fengshi Tian, Jinbo Chen, Jie Yang, Mohamad Sawan, Hsiang-Ting Chen, Paul Bogdan, Chi-Ying Tsui
SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks. AICAS (2023)
Jinbo Chen, Xing Liu, Hui Wu, Fengshi Tian, Wenjun Zou, Mostafa Katebi, Razieh Eskandari, Jie Yang, Mohamad Sawan
A Clockless Robust Bionic Spike Detector for Implantable Brain-Computer Interfaces. BioCAS (2023)
Hanrui Li, Fengshi Tian, Jie Yang, Mohamad Sawan, Nazek El-Atab
NMBNN: Noise-Adaptive Memristive Bayesian Neural Network for Energy-Efficient Edge Health Care. BioCAS (2023)
Jinbo Chen, Hui Wu, Xing Liu, Razieh Eskandari, Fengshi Tian, Wenjun Zou, Chaoming Fang, Jie Yang, Mohamad Sawan
NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector. AICAS (2023)
Hanrui Li, Aijaz H. Lone, Fengshi Tian, Jie Yang, Mohamad Sawan, Nazek El-Atab
Novel Knowledge Distillation to Improve Training Accuracy of Spin-based SNN. AICAS (2023)
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
BIOS: A 40nm Bionic Sensor-defined 0.47pJ/SOP, 268.7TSOPs/W Configurable Spiking Neuron-in-Memory Processor for Wearable Healthcare. ESSCIRC (2023)
Fengshi Tian, Xiaomeng Wang, Jinbo Chen, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting (Tim) Cheng
Binary is All You Need: Ultra-Efficient Arrhythmia Detection with a Binary-Only Compressive System. AICAS (2023)
Fengshi Tian, Shiqi Zhao, Jingyu He, Jinbo Chen, Xiaomeng Wang, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting (Tim) Cheng
NOLS: A Near-sensor On-chip Learning System with Direct Feedback Alignment for Personalized Wearable Heart Health Monitoring. BioCAS (2023)
Ziyang Shen, Fengshi Tian, Jingwen Jiang, Chaoming Fang, Xiaoyong Xue, Jie Yang, Mohamad Sawan
NBSSN: A Neuromorphic Binary Single-Spike Neural Network for Efficient Edge Intelligence. ISCAS (2023)
Xiaomeng Wang, Fengshi Tian, Xizi Chen, Jiakun Zheng, Xuejiao Liu, Fengbin Tu, Jie Yang, Mohamad Sawan, Kwang-Ting Cheng, Chi-Ying Tsui
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. CoRR (2023)
Jia Chen, Fengbin Tu, Kunming Shao, Fengshi Tian, Xiao Huo, Chi-Ying Tsui, Kwang-Ting Cheng
AutoDCIM: An Automated Digital CIM Compiler. DAC (2023)
Chaoming Fang, Chuanqing Wang, Shiqi Zhao, Fengshi Tian, Jie Yang, Mohamad Sawan
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. 17 (3) (2023)
Jingwen Jiang, Keji Zhou, Jinhao Liang, Fengshi Tian, Chenyang Zhao, Jianguo Yang, Xiaoyong Xue, Xiaoyang Zeng
Tempo-CIM: A RRAM Compute-in-Memory Neuromorphic Accelerator With Area-Efficient LIF Neuron and Split-Train-Merged-Inference Algorithm for Edge AI Applications. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (4) (2023)
Xizi Chen, Rui Pan, Xiaomeng Wang, Fengshi Tian, Chi-Ying Tsui
Late Breaking Results: Weight Decay is ALL You Need for Neural Network Sparsification. DAC (2023)
Ziyang Shen, Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan
PN-TMS: Pruned Node-fusion Tree-based Multicast Scheme for Efficient Neuromorphic Systems. AICAS (2023)
Jinbo Chen, Fengshi Tian, Jie Yang, Mohamad Sawan
An Event-Driven Compressive Neuromorphic System for Cardiac Arrhythmia Detection. ISCAS (2022)
Fengshi Tian, Jingwen Jiang, Jinhao Liang, Zhiyuan Zhang, Jiahe Shi, Chaoming Fang, Hui Wu, Xiaoyong Xue, Xiaoyang Zeng
NIMBLE: A Neuromorphic Learning Scheme and Memristor Based Computing-in-Memory Engine for EMG Based Hand Gesture Recognition. ISCAS (2022)
Hanrui Li, Junzhe Wang, Shiqi Zhao, Fengshi Tian, Jie Yang, Mohamad Sawan
Real-time Biosignal Recording and Machine-Learning Analysis System. AICAS (2022)
Xiaomeng Wang, Xuejiao Liu, Xianghong Hu, Xiaopeng Zhong, Xizi Chen, Yu Liu, Patrick Kong, Fengshi Tian, Chi-Ying Tsui
TAC-RAM: A 65nm 4Kb SRAM Computing-in-Memory Design with 57.55 TOPS/W supporting Multibit Matrix-Vector Multiplication for Binarized Neural Network. AICAS (2022)
Chaoming Fang, Ziyang Shen, Fengshi Tian, Jie Yang, Mohamad Sawan
A Compact Online-Learning Spiking Neuromorphic Biosignal Processor. ISCAS (2022)
Fengshi Tian, Jie Yang, Shiqi Zhao, Mohamad Sawan
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction. CoRR (2021)
Fengshi Tian, Jie Yang, Shiqi Zhao, Mohamad Sawan
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction. ISCAS (2021)