Exploiting Memristors for Neuromorphic Reinforcement Learning. - Cong Shi 003; Jing Lu; Ying Wang 001; Ping Li 042; Min Tian 003 (AICAS, 2021)

TripleBrain: An Edge Neuromorphic Architecture for High-accuracy Single-layer Spiking Neural Network with On-chip Self-organizing and Reinforcement Learning. - Haibing Wang; Zhen He; Jinsong Rao; Tengxiao Wang; Junxian He; Min Tian 003; Xichuan Zhou; Liyuan Liu; Nanjian Wu; Cong Shi 003 (ICTA, 2021)

A Heterogeneous Spiking Neural Network for Computationally Efficient Face Recognition. - Xichuan Zhou; Zhenghua Zhou; Zhengqing Zhong; Jianyi Yu; Tengxiao Wang; Min Tian 003; Ying Jiang; Cong Shi 003 (ISCAS, 2021)

An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips. - Leyi Chen; Junxian He; Jianyi Yu; Haibing Wang; Jing Lu; Liyuan Liu; Nanjian Wu; Cong Shi 003; Min Tian 003 (APCCAS, 2022)

MorphBungee: An Edge Neuromorphic Chip for High-Accuracy On-Chip Learning of Multiple-Layer Spiking Neural Networks. - Tengxiao Wang; Haibing Wang; Junxian He; Zhengqing Zhong; Fang Tang; Xichuan Zhou; Shuangming Yu; Liyuan Liu; Nanjian Wu; Min Tian 003; Cong Shi 003 (BioCAS, 2022)

TEDOP: A Tiny Event-Driven Neural Network Hardware Core Enabling On-Chip Spike-Driven Synaptic Plasticity. - Cona Shi; Sihao Chen; Haibina Wana; Zhenaaina Zhona; Ping Li 042; Junxian He; Tengxiao Wang; Jianyi Yu; Min Tian 003 (ICTA, 2022)

A Lightweight Spiking GAN Model for Memristor-centric Silicon Circuit with On-chip Reinforcement Adversarial Learning. - Min Tian 003; Jing Lu; Haoran Gao; Haibing Wang; Jianyi Yu; Cong Shi 003 (ISCAS, 2022)

TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity. - Haibing Wang; Zhen He; Tengxiao Wang; Junxian He; Xichuan Zhou; Ying Wang 001; Liyuan Liu; Nanjian Wu; Min Tian 003; Cong Shi 003 (IEEE Trans. Biomed. Circuits Syst., 2022)

A Low-Cost FPGA Implementation of Spiking Extreme Learning Machine With On-Chip Reward-Modulated STDP Learning. - Zhen He; Cong Shi 003; Tengxiao Wang; Ying Wang 001; Min Tian 003; Xichuan Zhou; Ping Li 042; Liyuan Liu; Nanjian Wu; Gang Luo 003 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip. - Zhengqing Zhong; Tengxiao Wang; Haibing Wang; Zhihua Zhou; Junxian He; Fang Tang; Xichuan Zhou; Shuangming Yu; Liyuan Liu; Nanjian Wu; Min Tian 003; Cong Shi 003 (AICAS, 2023)

MorphBungee: A 65nm 7.2mm2 27μJ/image Digital Edge Neuromorphic Chip with On-Chip 802 Frame/s Multi-Layer Spiking Neural Network Learning. - Tengxiao Wang; Min Tian 003; Zhengqing Zhong; Haibing Wang; Junxian He; Fang Tang; Xichuan Zhou; Shuangming Yu; Nanjian Wu; Liyuan Liu; Cong Shi 003 (A-SSCC, 2023)

An Edge Neuromorphic Hardware With Fast On-Chip Error-Triggered Learning on Compressive Sensed Spikes. - Cong Shi 003; Jingya Zhang; Tengxiao Wang; Zhengqing Zhong; Junxian He; Haoran Gao; Jianyi Yu; Ping Li 042; Min Tian 003 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Learnable Leakage and Onset-Spiking Self-Attention in SNNs with Local Error Signals. - Cong Shi 003; Li Wang; Haoran Gao; Min Tian 003 (Sensors, 2023)

A visual cortex-inspired edge neuromorphic hardware architecture with on-chip multi-layer STDP learning. - Junxian He; Min Tian 003; Ying Jiang; Haibing Wang; Tengxiao Wang; Xichuan Zhou; Liyuan Liu; Nanjian Wu; Ying Wang 001; Cong Shi 003 (Comput. Electr. Eng., 2024)

Ghost Reservoir: A Memory-Efficient Low-Power and Real-Time Neuromorphic Processor of Liquid State Machine With On-Chip Learning. - Cong Shi 003; Xiang Fu; Haibing Wang; Yingcheng Lin; Ying Jiang; Liyuan Liu; Nanjian Wu; Min Tian 003 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

STOP: spatiotemporal orthogonal propagation for weight-threshold-leakage synergistic training of deep spiking neural networks. - Haoran Gao; Xichuan Zhou; Yingcheng Lin; Min Tian 003; Liyuan Liu; Cong Shi 003 (Neuromorph. Comput. Eng., 2025)

MorphBungee-Lite: An Edge Neuromorphic Architecture With Balanced Cross-Core Workloads Based on Layer-Wise Event-Batch Learning/Inference. - Zhengqing Zhong; Haibing Wang; Mingju Chen; Yingcheng Lin; Min Tian 003; Tengxiao Wang; Liyuan Liu; Cong Shi 003 (IEEE Trans. Circuits Syst. II Express Briefs, 2025)

MorphBungee: A 65-nm 7.2-mm2 27-µJ/Image Digital Edge Neuromorphic Chip With on-Chip 802-Frame/s Multi-Layer Spiking Neural Network Learning. - Tengxiao Wang; Min Tian 003; Haibing Wang; Zhengqing Zhong; Junxian He; Fang Tang; Xichuan Zhou; Yingcheng Lin; Shuangming Yu; Liyuan Liu; Cong Shi 003 (IEEE Trans. Biomed. Circuits Syst., 2025)