A New Neuromorphic Computing Approach for Epileptic Seizure Prediction. - Fengshi Tian; Jie Yang 033; Shiqi Zhao; Mohamad Sawan (ISCAS, 2021)

Real-time Biosignal Recording and Machine-Learning Analysis System. - Hanrui Li; Junzhe Wang; Shiqi Zhao; Fengshi Tian; Jie Yang 033; Mohamad Sawan (AICAS, 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 007; Patrick Kong; Fengshi Tian; Chi-Ying Tsui (AICAS, 2022)

An Event-Driven Compressive Neuromorphic System for Cardiac Arrhythmia Detection. - Jinbo Chen; Fengshi Tian; Jie Yang 033; Mohamad Sawan (ISCAS, 2022)

A Compact Online-Learning Spiking Neuromorphic Biosignal Processor. - Chaoming Fang; Ziyang Shen; Fengshi Tian; Jie Yang 033; Mohamad Sawan (ISCAS, 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 010; Xiaoyong Xue; Xiaoyang Zeng (ISCAS, 2022)

NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector. - Jinbo Chen; Hui Wu 010; Xing Liu; Razieh Eskandari; Fengshi Tian; Wenjun Zou; Chaoming Fang; Jie Yang 033; Mohamad Sawan (AICAS, 2023)

SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks. - Jingyu He; Ziyang Shen; Fengshi Tian; Jinbo Chen; Jie Yang 033; Mohamad Sawan; Hsiang-Ting Chen; Paul Bogdan; Chi-Ying Tsui (AICAS, 2023)

Novel Knowledge Distillation to Improve Training Accuracy of Spin-based SNN. - Hanrui Li; Aijaz H. Lone; Fengshi Tian; Jie Yang 033; Mohamad Sawan; Nazek El-Atab (AICAS, 2023)

PN-TMS: Pruned Node-fusion Tree-based Multicast Scheme for Efficient Neuromorphic Systems. - Ziyang Shen; Chaoming Fang; Fengshi Tian; Jie Yang 033; Mohamad Sawan (AICAS, 2023)

Binary is All You Need: Ultra-Efficient Arrhythmia Detection with a Binary-Only Compressive System. - Fengshi Tian; Xiaomeng Wang; Jinbo Chen; Jie Yang 033; Mohamad Sawan; Chi-Ying Tsui; Kwang-Ting (Tim) Cheng (AICAS, 2023)

A Clockless Robust Bionic Spike Detector for Implantable Brain-Computer Interfaces. - Jinbo Chen; Xing Liu; Hui Wu 010; Fengshi Tian; Wenjun Zou; Mostafa Katebi; Razieh Eskandari; Jie Yang 033; Mohamad Sawan (BioCAS, 2023)

NMBNN: Noise-Adaptive Memristive Bayesian Neural Network for Energy-Efficient Edge Health Care. - Hanrui Li; Fengshi Tian; Jie Yang 033; Mohamad Sawan; Nazek El-Atab (BioCAS, 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 033; Mohamad Sawan; Chi-Ying Tsui; Kwang-Ting (Tim) Cheng (BioCAS, 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 (DAC, 2023)

AutoDCIM: An Automated Digital CIM Compiler. - Jia Chen; Fengbin Tu; Kunming Shao; Fengshi Tian; Xiao Huo; Chi-Ying Tsui; Kwang-Ting Cheng (DAC, 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 010; Xuejiao Liu; Fengbin Tu; Jie Yang 033; Mohamad Sawan; Chi-Ying Tsui; Kwang-Ting (Tim) Cheng (ESSCIRC, 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 033; Mohamad Sawan (ISCAS, 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 033; Mohamad Sawan; Kwang-Ting Cheng; Chi-Ying Tsui (CoRR, 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 033; Mohamad Sawan (IEEE Trans. Biomed. Circuits Syst., 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 008; Jianguo Yang; Xiaoyong Xue; Xiaoyang Zeng (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

NeuroSORT: A Neuromorphic Accelerator for Spike-based Online and Real-time Tracking. - Ziyang Shen; Xiaoxu Xie; Chaoming Fang; Fengshi Tian; Shunli Ma; Jie Yang 033; Mohamad Sawan (AICAS, 2024)

A Neuron-Inspired 0.0032mm2-1.38μW/Ch Wireless Implantable Neural Interface with Direct Multiplexing Front-End and Event-Driven Spike Detection and Transmission. - Jinbo Chen; Hui Wu 010; Razieh Eskandari; Xing Liu; Siyu Lin; Qiming Hou; Fengshi Tian; Wenjun Zou; Jie Yang 033; Mohamad Sawan (CICC, 2024)

A 0.078 pJ/SOP Unstructured Sparsity-Aware Spiking Attention/Convolution Processor with 3D Compute Array. - Chaoming Fang; Ziyang Shen; Shiqi Zhao; Chuanqing Wang; Fengshi Tian; Jie Yang 033; Mohamad Sawan (CICC, 2024)

PhotonNTT: Energy-Efficient Parallel Photonic Number Theoretic Transform Accelerator. - Xianbin Li; Jiaqi Liu; Yuying Zhang; Yinyi Liu; Jiaxu Zhang; Chengeng Li; Shixi Chen; Yuxiang Fu; Fengshi Tian; Wei Zhang 012; Jiang Xu 001 (DATE, 2024)

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

A Low-Power Level-Crossing Analog-to-Spike Converter Intended for Neuromorphic Biomedical Applications. - Jinbo Chen; Hui Wu 010; Fengshi Tian; Qiming Hou; Siyu Lin; Jie Yang 033; Mohamad Sawan (ISCAS, 2024)

Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined Architecture. - Chaoming Fang; Fengshi Tian; Jie Yang 033; Mohamad Sawan (ISCAS, 2024)

BOLS: A Bionic Sensor-direct On-chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health Monitoring. - Fengshi Tian; Jiakun Zheng; Jingyu He; Jinbo Chen; Xiaomeng Wang; Chaoming Fang; Jie Yang 033; Mohamad Sawan; Chi-Ying Tsui; Kwang-Ting Cheng (ISCAS, 2024)

HybMED: A Hybrid Neural Network Training Processor With Multi-Sparsity Exploitation for Internet of Medical Things. - Shiqi Zhao; Chuanqing Wang; Chaoming Fang; Fengshi Tian; Jie Yang 033; Mohamad Sawan (IEEE Trans. Biomed. Circuits Syst., 2024)

E-NPU: A 34 126nJ/Class Event-Driven Adaptive Neural SoC with Signal-Dynamics-Aware Feature Clustering and Multi-Model In-Memory Inference/Training for Personalized Medical Wearables. - Fengshi Tian; Jinbo Chen; Kunming Shao; Zilu Liu; Jiakun Zheng; Hui Wu 010; Chaoming Fang; Xiaomeng Wang; Ziyang Shen; Pingcheng Dong; Yuan Yao; Xuliang Wang; et al. (CICC, 2025)

SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis. - Kunming Shao; Fengshi Tian; Xiaomeng Wang; Jiakun Zheng; Jia Chen; Jingyu He; Hui Wu 010; Jinbo Chen; Xihao Guan; Yi Deng; Fengbin Tu; Jie Yang 033; et al. (DATE, 2025)

An Area-Efficient and Bit-Width Configurable Carry-Save Adder Tree for Spiking Transformers. - Chaoming Fang; Ziyang Shen; Fengshi Tian; Jie Yang 033; Mohamad Sawan (ISCAS, 2025)

Analysis and Prevention of Coupling-Dependent Data Flipping in Series-Series Resonant Wireless Power Transfer Systems. - Yuan Yao; Sayan Sarkar; Fengshi Tian; Wing-Hung Ki; Chi-Ying Tsui; Yang Liu (ISCAS, 2025)

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination. - Liang Zhao; Kunming Shao; Fengshi Tian; Kwang-Ting (Tim) Cheng; Chi-Ying Tsui; Yi Zou (ISCAS, 2025)

NeuroEye: A 54.59mW, 12200FPS Event-Driven Near-Sensor Eye-Tracking Processor with Pipelined Spatial-Temporal Spike-Streaming. - Jiakun Zheng; Fengshi Tian; Jinbo Chen; Chaoming Fang; Yuan Yao; Jie Yang 033; Mohamad Sawan; Kwang-Ting (Tim) Cheng; Chi-Ying Tsui (ISCAS, 2025)

A 28nm 0.22μJ/Token Memory-Compute-Intensity-Aware CNN-Transformer Accelerator with Hybrid-Attention-Based Layer-Fusion and Cascaded Pruning for Semantic-Segmentation. - Pingcheng Dong; Yonghao Tan; Xuejiao Liu; Peng Luo; Yu Liu 007; Luhong Liang; Yitong Zhou; Di Pang; Manto Yung; Dong Zhang; Xijie Huang; Shih-Yang Liu; et al. (ISSCC, 2025)

A Resource-Efficient Algorithm-Hardware Co-Design Toward Semi-Supervised Neurological Symptoms Prediction. - Shiqi Zhao; Shanjin Li; Di Wu 057; Fengshi Tian; Jie Yang 033; Mohamad Sawan (IEEE Trans. Instrum. Meas., 2025)

An Energy-Efficient Unstructured Sparsity-Aware Deep SNN Accelerator With 3-D Computation Array. - Chaoming Fang; Ziyang Shen; Zongsheng Wang; Chuanqing Wang; Shiqi Zhao; Fengshi Tian; Jie Yang 033; Mohamad Sawan (IEEE J. Solid State Circuits, 2025)