BranchGAN: Unsupervised Mutual Image-to-Image Transfer With A Single Encoder and Dual Decoders. - Yi-Fan Zhou; Runhao Jiang; Xiao Wu 001; Jun-Yan He; Shuang Weng; Qiang Peng (IEEE Trans. Multim., 2019)

An Event-Driven Object Recognition Model Using Activated Connected Domain Detection. - Tang Tang; Runhao Jiang; Rui Yan 005; Huajin Tang (SSCI, 2020)

Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization. - Runhao Jiang; Jie Zhang; Rui Yan 005; Huajin Tang (Neural Comput., 2021)

Dynamic Resistance Based Spiking Actor Network for Improving Reinforcement Learning. - Jie Zhang; Runhao Jiang; Rong Xiao 001; Rui Yan 005 (ICCAI, 2022)

An Adaptive Convolution Auto-encoder Based on Spiking Neurons. - Chuanmeng Zhu; Jiaqiang Jiang; Runhao Jiang; Rui Yan 005 (ICONIP (2), 2022)

Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot. - Jiaxin Li; Dengju Li; Runhao Jiang; Rong Xiao 001; Huajin Tang; Kay Chen Tan (IEEE Comput. Intell. Mag., 2022)

Event stream learning using spatio-temporal event surface. - Junfei Dong; Runhao Jiang; Rong Xiao 001; Rui Yan 005; Huajin Tang (Neural Networks, 2022)

Adaptive Smoothing Gradient Learning for Spiking Neural Networks. - Ziming Wang; Runhao Jiang; Shuang Lian; Rui Yan 005; Huajin Tang (ICML, 2023)

CMCI: A Robust Multimodal Fusion Method for Spiking Neural Networks. - Runhao Jiang; Jianing Han; Yingying Xue; Ping Wang; Huajin Tang (ICONIP (3), 2023)

Event-Based Object Recognition Using Feature Fusion and Spiking Neural Networks. - Menghao Su; Panpan Yang; Runhao Jiang; Rui Yan 005 (ICONIP (7), 2023)

Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. - Gehua Ma; Runhao Jiang; Rui Yan 005; Huajin Tang (NeurIPS, 2023)

Dual memory model for experience-once task-incremental lifelong learning. - Gehua Ma; Runhao Jiang; Lang Wang; Huajin Tang (Neural Networks, 2023)

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-Based Detection with Recurrent Spiking Neural Networks. - Ziming Wang; Ziling Wang; Huaning Li; Lang Qin; Runhao Jiang; De Ma; Huajin Tang (ECCV (60), 2024)

An Event-based Feature Representation Method for Event Stream Classification using Deep Spiking Neural Networks. - Limei Liang; Runhao Jiang; Huajin Tang; Rui Yan 005 (IJCNN, 2024)

GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. - Lang Qin; Ziming Wang; Runhao Jiang; Rui Yan 005; Huajin Tang (CoRR, 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)

Transformer-Based Spiking Neural Networks for Multimodal Audiovisual Classification. - Lingyue Guo; Zeyu Gao; Jinye Qu; Suiwu Zheng; Runhao Jiang; Yanfeng Lu; Hong Qiao (IEEE Trans. Cogn. Dev. Syst., 2024)

GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. - Lang Qin; Ziming Wang; Runhao Jiang; Rui Yan; Huajin Tang (AAAI, 2025)

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network. - Shang Xu; Jiayu Zhang; Ziming Wang; Runhao Jiang; Rui Yan; Huajin Tang (CoRR, 2025)

Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics. - Jiaqiang Jiang; Lei Wang; Runhao Jiang; Jing Fan; Rui Yan 005 (CoRR, 2025)

Community-Aware Social Community Recommendation. - Runhao Jiang; Renchi Yang; Wenqing Lin (CoRR, 2025)