A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification. - Wei He; Jinguo Huang; Tengxiao Wang; Yingcheng Lin; Junxian He; Xichuan Zhou; Ping Li 042; Ying Wang 001; Nanjian Wu; Cong Shi 003 (Sensors, 2020)

Training Mechanism Reform of "Programming +" Higher Engineering Education. - Heng Jin; Tengxiao Wang; Xuelin Zhao (CSIA (2), 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; 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; Ying Jiang; Cong Shi 003 (ISCAS, 2021)

CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features. - Tengxiao Wang; Cong Shi 003; Xichuan Zhou; Yingcheng Lin; Junxian He; Ping Gan; Ping Li 042; Ying Wang 001; Liyuan Liu; Nanjian Wu; Gang Luo 003 (Neurocomputing, 2021)

DeepTempo: A Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Networks. - Cong Shi 003; Tengxiao Wang; Junxian He; Jianghao Zhang; Liyuan Liu; Nanjian Wu (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

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; 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 (ICTA, 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; 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; 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; 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; 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 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Modeling the Global Relationship via the Point Cloud Transformer for the Terrain Filtering of Airborne LiDAR Data. - Libo Cheng; Rui Hao; Zhibo Cheng; Taifeng Li; Tengxiao Wang; Wenlong Lu; Yulin Ding; Han Hu 005 (Remote. Sens., 2023)

A Novel Multiple-Input Multiple-Output OCDM Transmission System Based on Index Modulation. - Shutong Feng; Zhouhao Li; Tengxiao Wang; Wei Deng; Yili Xia; Wenjiang Pei (WCSP, 2024)

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

Energy Efficient Symbol-Level Precoding Design for MIMO-OCDM Systems. - Tengxiao Wang; Zhouhao Li; Shutong Feng; Wei Deng; Yili Xia; Wenjiang Pei (WCNC, 2025)

A Family of MMSE Detectors for MIMO-OCDM Systems with Near-Optimal Performance. - Tengxiao Wang; Zhouhao Li; Shutong Feng; Wei Deng; Yili Xia; Wenjiang Pei (WCNC, 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; 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; 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)

An Edge Neuromorphic Processor With High-Accuracy On-Chip Aggregate-Label Learning. - Guanyu Chen; Mingju Chen; Tengxiao Wang; Haibing Wang; Xiang Fu; Yingcheng Lin; Liyuan Liu; Cong Shi 003 (IEEE Trans. Circuits Syst. II Express Briefs, 2025)

A Visual-Cortex-Mimetic Tiny Neuromorphic Vision Processor Based on Reconfigurable Cortical Neuron Unit. - Mingju Chen; Junxian He; Haibing Wang; Tengxiao Wang; Haoran Gao; Liyuan Liu; Ying Wang 001; Cong Shi 003 (IEEE Trans. Circuits Syst. II Express Briefs, 2025)