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Fengshi Tian
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2020 – today
- 2024
- [c25]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: 312-316 - [c24]Jinbo Chen, Hui Wu, Razieh Eskandari, Xing Liu, Siyu Lin, Qiming Hou, Fengshi Tian, Wenjun Zou, Jie Yang, Mohamad Sawan:
A Neuron-Inspired 0.0032mm2-1.38μW/Ch Wireless Implantable Neural Interface with Direct Multiplexing Front-End and Event-Driven Spike Detection and Transmission. CICC 2024: 1-2 - [c23]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: 1-2 - [c22]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: 1-6 - [c21]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: 1-5 - [c20]Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan:
Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined Architecture. ISCAS 2024: 1-5 - [c19]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: 1-5 - 2023
- [j2]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): 986-999 (2023) - [j1]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): 507-520 (2023) - [c18]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: 1-5 - [c17]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: 1-5 - [c16]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: 1-5 - [c15]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: 1-5 - [c14]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: 1-5 - [c13]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: 1-5 - [c12]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: 1-5 - [c11]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: 1-5 - [c10]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: 1-2 - [c9]Jia Chen, Fengbin Tu, Kunming Shao, Fengshi Tian, Xiao Huo, Chi-Ying Tsui, Kwang-Ting Cheng:
AutoDCIM: An Automated Digital CIM Compiler. DAC 2023: 1-6 - [c8]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: 225-228 - [c7]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: 1-5 - [i2]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 abs/2307.05944 (2023) - 2022
- [c6]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: 66-69 - [c5]Hanrui Li, Junzhe Wang, Shiqi Zhao, Fengshi Tian, Jie Yang, Mohamad Sawan:
Real-time Biosignal Recording and Machine-Learning Analysis System. AICAS 2022: 427-430 - [c4]Chaoming Fang, Ziyang Shen, Fengshi Tian, Jie Yang, Mohamad Sawan:
A Compact Online-Learning Spiking Neuromorphic Biosignal Processor. ISCAS 2022: 2147-2151 - [c3]Jinbo Chen, Fengshi Tian, Jie Yang, Mohamad Sawan:
An Event-Driven Compressive Neuromorphic System for Cardiac Arrhythmia Detection. ISCAS 2022: 2690-2694 - [c2]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: 2695-2699 - 2021
- [c1]Fengshi Tian, Jie Yang, Shiqi Zhao, Mohamad Sawan:
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction. ISCAS 2021: 1-5 - [i1]Fengshi Tian, Jie Yang, Shiqi Zhao, Mohamad Sawan:
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction. CoRR abs/2102.12773 (2021)
Coauthor Index
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last updated on 2024-10-01 21:39 CEST by the dblp team
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