Runhao Jiang

According to our database, Runhao Jiang authored at least 22 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Effective Clustering for Large Multi-Relational Graphs.

Xiaoyang Lin, Runhao Jiang, Renchi Yang

CoRR, August, 2025

Community-Aware Social Community Recommendation.

Runhao Jiang, Renchi Yang, Wenqing Lin

CoRR, August, 2025

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network.

Shang Xu, Jiayu Zhang, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang

CoRR, May, 2025

Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics.

Jiaqiang Jiang, Lei Wang, Runhao Jiang, Jing Fan, Rui Yan

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Brain-Inspired Spatial Continuous State Encoding for Efficient Spiking-Based Navigation.

Qingao Chai, Jiashuo Wang, Runhao Jiang, Bo Yang, Rui Yan, Huajin Tang

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL.

Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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., June, 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, Gang Pan, Huajin Tang

Neural Networks, 2024

An Event-based Feature Representation Method for Event Stream Classification using Deep Spiking Neural Networks.

Limei Liang, Runhao Jiang, Huajin Tang, Rui Yan

Proceedings of the International Joint Conference on Neural Networks, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Dual memory model for experience-once task-incremental lifelong learning.

Gehua Ma, Runhao Jiang, Lang Wang, Huajin Tang

Neural Networks, September, 2023

Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes.

Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Event-Based Object Recognition Using Feature Fusion and Spiking Neural Networks.

Menghao Su, Panpan Yang, Runhao Jiang, Rui Yan

Proceedings of the Neural Information Processing - 30th International Conference, 2023

CMCI: A Robust Multimodal Fusion Method for Spiking Neural Networks.

Runhao Jiang, Jianing Han, Yingying Xue, Ping Wang, Huajin Tang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Adaptive Smoothing Gradient Learning for Spiking Neural Networks.

Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang

Proceedings of the International Conference on Machine Learning, 2023

2022

Event stream learning using spatio-temporal event surface.

Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang

Neural Networks, 2022

Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot.

Jiaxin Li, Dengju Li, Runhao Jiang, Rong Xiao, Huajin Tang, Kay Chen Tan

IEEE Comput. Intell. Mag., 2022

An Adaptive Convolution Auto-encoder Based on Spiking Neurons.

Chuanmeng Zhu, Jiaqiang Jiang, Runhao Jiang, Rui Yan

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Dynamic Resistance Based Spiking Actor Network for Improving Reinforcement Learning.

Jie Zhang, Runhao Jiang, Rong Xiao, Rui Yan

Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

2021

Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization.

Runhao Jiang, Jie Zhang, Rui Yan, Huajin Tang

Neural Comput., 2021

2020

An Event-Driven Object Recognition Model Using Activated Connected Domain Detection.

Tang Tang, Runhao Jiang, Rui Yan, Huajin Tang

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019

BranchGAN: Unsupervised Mutual Image-to-Image Transfer With A Single Encoder and Dual Decoders.

Yi-Fan Zhou, Runhao Jiang, Xiao Wu, Jun-Yan He, Shuang Weng, Qiang Peng

IEEE Trans. Multim., 2019