Fengshi Tian - researchr alias

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Viewing Publication 1 - 30 from 30

2025

2024

A Low-Power Level-Crossing Analog-to-Spike Converter Intended for Neuromorphic Biomedical ApplicationsJinbo Chen, Hui Wu, Fengshi Tian, Qiming Hou, Siyu Lin, Jie Yang 0033, Mohamad Sawan. iscas 2024: 1-5 [doi]

2-1.38μW/Ch Wireless Implantable Neural Interface with Direct Multiplexing Front-End and Event-Driven Spike Detection and TransmissionJinbo Chen, Hui Wu, Razieh Eskandari, Xing Liu, Siyu Lin, Qiming Hou, Fengshi Tian, Wenjun Zou, Jie Yang 0033, Mohamad Sawan. cicc 2024: 1-2 [doi]

Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined ArchitectureChaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan. iscas 2024: 1-5 [doi]

PhotonNTT: Energy-Efficient Parallel Photonic Number Theoretic Transform AcceleratorXianbin Li, Jiaqi Liu, Yuying Zhang, Yinyi Liu, Jiaxu Zhang, Chengeng Li, Shixi Chen, Yuxiang Fu, Fengshi Tian, Wei Zhang, Jiang Xu. date 2024: 1-6 [doi]

NeuroSORT: A Neuromorphic Accelerator for Spike-based Online and Real-time TrackingZiyang Shen, Xiaoxu Xie, Chaoming Fang, Fengshi Tian, Shunli Ma, Jie Yang 0033, Mohamad Sawan. aicas 2024: 312-316 [doi]

BOLS: A Bionic Sensor-direct On-chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health MonitoringFengshi Tian, Jiakun Zheng, Jingyu He, Jinbo Chen, Xiaomeng Wang, Chaoming Fang, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting Cheng. iscas 2024: 1-5 [doi]

ReSCIM: Variation-Resilient High Weight-Loading Bandwidth In-Memory Computation Based on Fine-Grained Hybrid Integration of Multi-Level ReRAM and SRAM CellsXiaomeng Wang, Jingyu He, Kunming Shao, Jiakun Zheng, Fengshi Tian, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui. iccad 2024: [doi]

HybMED: A Hybrid Neural Network Training Processor With Multi-Sparsity Exploitation for Internet of Medical ThingsShiqi Zhao, Chuanqing Wang, Chaoming Fang, Fengshi Tian, Jie Yang 0033, Mohamad Sawan. tbcas, 18(5):1178-1189, October 2024. [doi]

2023

NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike DetectorJinbo Chen, Hui Wu, Xing Liu, Razieh Eskandari, Fengshi Tian, Wenjun Zou, Chaoming Fang, Jie Yang 0033, Mohamad Sawan. aicas 2023: 1-5 [doi]

AutoDCIM: An Automated Digital CIM CompilerJia Chen, Fengbin Tu, Kunming Shao, Fengshi Tian, Xiao Huo, Chi-Ying Tsui, Kwang-Ting Cheng. dac 2023: 1-6 [doi]

Late Breaking Results: Weight Decay is ALL You Need for Neural Network SparsificationXizi Chen, Rui Pan, Xiaomeng Wang, Fengshi Tian, Chi-Ying Tsui. dac 2023: 1-2 [doi]

A Clockless Robust Bionic Spike Detector for Implantable Brain-Computer InterfacesJinbo Chen, Xing Liu, Hui Wu, Fengshi Tian, Wenjun Zou, Mostafa Katebi, Razieh Eskandari, Jie Yang, Mohamad Sawan. biocas 2023: 1-5 [doi]

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 CMOSChaoming Fang, Chuanqing Wang, Shiqi Zhao, Fengshi Tian, Jie Yang 0033, Mohamad Sawan. tbcas, 17(3):507-520, June 2023. [doi]

SNNOpt: An Application-Specific Design Framework for Spiking Neural NetworksJingyu He, Ziyang Shen, Fengshi Tian, Jinbo Chen, Jie Yang 0033, Mohamad Sawan, Hsiang-Ting Chen, Paul Bogdan, Chi-Ying Tsui. aicas 2023: 1-5 [doi]

Tempo-CIM: A RRAM Compute-in-Memory Neuromorphic Accelerator With Area-Efficient LIF Neuron and Split-Train-Merged-Inference Algorithm for Edge AI ApplicationsJingwen Jiang, Keji Zhou, Jinhao Liang, Fengshi Tian, Chenyang Zhao, Jianguo Yang, Xiaoyong Xue, Xiaoyang Zeng. esticas, 13(4):986-999, December 2023. [doi]

NMBNN: Noise-Adaptive Memristive Bayesian Neural Network for Energy-Efficient Edge Health CareHanrui Li, Fengshi Tian, Jie Yang, Mohamad Sawan, Nazek El-Atab. biocas 2023: 1-5 [doi]

Novel Knowledge Distillation to Improve Training Accuracy of Spin-based SNNHanrui Li, Aijaz H. Lone, Fengshi Tian, Jie Yang 0033, Mohamad Sawan, Nazek El-Atab. aicas 2023: 1-5 [doi]

PN-TMS: Pruned Node-fusion Tree-based Multicast Scheme for Efficient Neuromorphic SystemsZiyang Shen, Chaoming Fang, Fengshi Tian, Jie Yang 0033, Mohamad Sawan. aicas 2023: 1-5 [doi]

NBSSN: A Neuromorphic Binary Single-Spike Neural Network for Efficient Edge IntelligenceZiyang Shen, Fengshi Tian, Jingwen Jiang, Chaoming Fang, Xiaoyong Xue, Jie Yang 0033, Mohamad Sawan. iscas 2023: 1-5 [doi]

Binary is All You Need: Ultra-Efficient Arrhythmia Detection with a Binary-Only Compressive SystemFengshi Tian, Xiaomeng Wang, Jinbo Chen, Jie Yang 0033, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting (Tim) Cheng. aicas 2023: 1-5 [doi]

NOLS: A Near-sensor On-chip Learning System with Direct Feedback Alignment for Personalized Wearable Heart Health MonitoringFengshi Tian, Shiqi Zhao, Jingyu He, Jinbo Chen, Xiaomeng Wang, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting (Tim) Cheng. biocas 2023: 1-5 [doi]

BIOS: A 40nm Bionic Sensor-defined 0.47pJ/SOP, 268.7TSOPs/W Configurable Spiking Neuron-in-Memory Processor for Wearable HealthcareFengshi Tian, Xiaomeng Wang, Jinbo Chen, Jiakun Zheng, Hui Wu, Xuejiao Liu, Fengbin Tu, Jie Yang 0033, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting (Tim) Cheng. esscirc 2023: 225-228 [doi]

2022

An Event-Driven Compressive Neuromorphic System for Cardiac Arrhythmia DetectionJinbo Chen, Fengshi Tian, Jie Yang 0033, Mohamad Sawan. iscas 2022: 2690-2694 [doi]

A Compact Online-Learning Spiking Neuromorphic Biosignal ProcessorChaoming Fang, Ziyang Shen, Fengshi Tian, Jie Yang 0033, Mohamad Sawan. iscas 2022: 2147-2151 [doi]

Real-time Biosignal Recording and Machine-Learning Analysis SystemHanrui Li, Junzhe Wang, Shiqi Zhao, Fengshi Tian, Jie Yang 0033, Mohamad Sawan. aicas 2022: 427-430 [doi]

NIMBLE: A Neuromorphic Learning Scheme and Memristor Based Computing-in-Memory Engine for EMG Based Hand Gesture RecognitionFengshi Tian, Jingwen Jiang, Jinhao Liang, Zhiyuan Zhang, Jiahe Shi, Chaoming Fang, Hui Wu, Xiaoyong Xue, Xiaoyang Zeng. iscas 2022: 2695-2699 [doi]

TAC-RAM: A 65nm 4Kb SRAM Computing-in-Memory Design with 57.55 TOPS/W supporting Multibit Matrix-Vector Multiplication for Binarized Neural NetworkXiaomeng Wang, Xuejiao Liu, Xianghong Hu, Xiaopeng Zhong, Xizi Chen, Yu Liu, Patrick Kong, Fengshi Tian, Chi-Ying Tsui. aicas 2022: 66-69 [doi]

2021

A New Neuromorphic Computing Approach for Epileptic Seizure PredictionFengshi Tian, Jie Yang 0033, Shiqi Zhao, Mohamad Sawan. iscas 2021: 1-5 [doi]

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