A temporal encoding method based on expansion representation. - Yan Dai 008; Mengwen Yuan; Huajin Tang; Rui Yan 005 (IJCNN, 2019)

An Unsupervised Spiking Deep Neural Network for Object Recognition. - Zeyang Song; Xi Wu; Mengwen Yuan; Huajin Tang (ISNN (2), 2019)

Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses. - Mengwen Yuan; Xi Wu; Rui Yan 005; Huajin Tang (Neural Comput., 2019)

SPAIC: A Spike-based Artificial Intelligence Computing Framework. - Chaofei Hong; Mengwen Yuan; Mengxiao Zhang; Xiao Wang 016; Chengjun Zhang; Jiaxin Wang; Gang Pan 001; Zhaohui Wu 001; Huajin Tang (CoRR, 2022)

Spiking Reinforcement Learning with Memory Ability for Mapless Navigation. - Bo Yang; Mengwen Yuan; Chengjun Zhang; Chaofei Hong; Gang Pan 001; Huajin Tang (IROS, 2023)

CASRL: Collision Avoidance with Spiking Reinforcement Learning Among Dynamic, Decision-Making Agents. - Chengjun Zhang; Ka-Wa Yip; Bo Yang; Zhiyong Zhang; Mengwen Yuan; Rui Yan; Huajin Tang (IROS, 2024)

Trainable Spiking-YOLO for low-latency and high-performance object detection. - Mengwen Yuan; Chengjun Zhang; Ziming Wang; Huixiang Liu; Gang Pan 001; Huajin Tang (Neural Networks, 2024)

Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model. - Shibo Zhou; Bo Yang; Mengwen Yuan; Runhao Jiang; Rui Yan 005; Gang Pan 001; Huajin Tang (Neural Networks, 2024)

SPAIC: A Spike-Based Artificial Intelligence Computing Framework. - Chaofei Hong; Mengwen Yuan; Mengxiao Zhang; Xiao Wang 016; Chengjun Zhang; Jiaxin Wang; Gang Pan 001; Huajin Tang (IEEE Comput. Intell. Mag., 2024)