Runhao Jiang

31 papers A* 6A 1B 1Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization.
AAAI
Runhao Jiang, Chengzhi Jiang, Rui Yan, Huajin Tang
2025 J jnl
ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network.
CoRR
Shang Xu, Jiayu Zhang, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang
2025 A* conf
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics.
IJCAI
Jiaqiang Jiang, Lei Wang, Runhao Jiang, Jing Fan, Rui Yan
2025 J jnl
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics.
CoRR
Jiaqiang Jiang, Lei Wang, Runhao Jiang, Jing Fan, Rui Yan
2025 A* conf
Brain-Inspired Spatial Continuous State Encoding for Efficient Spiking-Based Navigation.
ICRA
Qingao Chai, Jiashuo Wang, Runhao Jiang, Bo Yang, Rui Yan, Huajin Tang
2025 A conf
Community-Aware Social Community Recommendation.
CIKM
Runhao Jiang, Renchi Yang, Wenqing Lin
2025 J jnl
Community-Aware Social Community Recommendation.
CoRR
Runhao Jiang, Renchi Yang, Wenqing Lin
2025 J jnl
Effective Clustering for Large Multi-Relational Graphs.
CoRR
Xiaoyang Lin, Runhao Jiang, Renchi Yang
2025 J jnl
Effective Clustering for Large Multi-Relational Graphs.
Proc. ACM Manag. Data
Xiaoyang Lin, Runhao Jiang, Renchi Yang
2025 A* conf
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL.
AAAI
Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang
2025 J jnl
MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization.
CoRR
Runhao Jiang, Chengzhi Jiang, Rui Yan, Huajin Tang
2024 B conf
An Event-based Feature Representation Method for Event Stream Classification using Deep Spiking Neural Networks.
IJCNN
Limei Liang, Runhao Jiang, Huajin Tang, Rui Yan
2024 — conf
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-Based Detection with Recurrent Spiking Neural Networks.
ECCV (60)
Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang
2024 J jnl
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks.
CoRR
Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang
2024 J jnl
Enhancing SNN-based Spatio-Temporal Learning: A Benchmark Dataset and Cross-Modality Attention Model.
CoRR
Shibo Zhou, Bo Yang, Mengwen Yuan, Runhao Jiang, Rui Yan, Gang Pan, Huajin Tang
2024 J jnl
Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model.
Neural Networks
Shibo Zhou, Bo Yang, Mengwen Yuan, Runhao Jiang, Rui Yan, Gang Pan, Huajin Tang
2024 J jnl
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL.
CoRR
Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang
2024 J jnl
Transformer-Based Spiking Neural Networks for Multimodal Audiovisual Classification.
IEEE Trans. Cogn. Dev. Syst.
Lingyue Guo, Zeyu Gao, Jinye Qu, Suiwu Zheng, Runhao Jiang, Yanfeng Lu, Hong Qiao
2023 A* conf
Adaptive Smoothing Gradient Learning for Spiking Neural Networks.
ICML
Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang
2023 — conf
CMCI: A Robust Multimodal Fusion Method for Spiking Neural Networks.
ICONIP (3)
Runhao Jiang, Jianing Han, Yingying Xue, Ping Wang, Huajin Tang
2023 J jnl
Dual memory model for experience-once task-incremental lifelong learning.
Neural Networks
Gehua Ma, Runhao Jiang, Lang Wang, Huajin Tang
2023 — conf
Event-Based Object Recognition Using Feature Fusion and Spiking Neural Networks.
ICONIP (7)
Menghao Su, Panpan Yang, Runhao Jiang, Rui Yan
2023 A* conf
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes.
NeurIPS
Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang
2023 J jnl
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes.
CoRR
Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang
2022 — conf
An Adaptive Convolution Auto-encoder Based on Spiking Neurons.
ICONIP (2)
Chuanmeng Zhu, Jiaqiang Jiang, Runhao Jiang, Rui Yan
2022 — conf
Dynamic Resistance Based Spiking Actor Network for Improving Reinforcement Learning.
ICCAI
Jie Zhang, Runhao Jiang, Rong Xiao, Rui Yan
2022 J jnl
Event stream learning using spatio-temporal event surface.
Neural Networks
Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang
2022 J jnl
Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot.
IEEE Comput. Intell. Mag.
Jiaxin Li, Dengju Li, Runhao Jiang, Rong Xiao, Huajin Tang, Kay Chen Tan
2021 J jnl
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization.
Neural Comput.
Runhao Jiang, Jie Zhang, Rui Yan, Huajin Tang
2020 — conf
An Event-Driven Object Recognition Model Using Activated Connected Domain Detection.
SSCI
Tang Tang, Runhao Jiang, Rui Yan, Huajin Tang
2019 J jnl
BranchGAN: Unsupervised Mutual Image-to-Image Transfer With A Single Encoder and Dual Decoders.
IEEE Trans. Multim.
Yi-Fan Zhou, Runhao Jiang, Xiao Wu, Jun-Yan He, Shuang Weng, Qiang Peng