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Journal Articles
- 2024
[j7]Shibo Zhou
, Bo Yang, Mengwen Yuan, Runhao Jiang, Rui Yan, Gang Pan, Huajin Tang:
Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model. Neural Networks 180: 106677 (2024)- [j6]Lingyue Guo, Zeyu Gao, Jinye Qu, Suiwu Zheng, Runhao Jiang, Yanfeng Lu, Hong Qiao:
Transformer-Based Spiking Neural Networks for Multimodal Audiovisual Classification. IEEE Trans. Cogn. Dev. Syst. 16(3): 1077-1086 (2024) - 2023
- [j5]Gehua Ma, Runhao Jiang, Lang Wang, Huajin Tang:
Dual memory model for experience-once task-incremental lifelong learning. Neural Networks 166: 174-187 (2023) - 2022
- [j4]Jiaxin Li, Dengju Li, Runhao Jiang, Rong Xiao, Huajin Tang, Kay Chen Tan:
Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot. IEEE Comput. Intell. Mag. 17(4): 27-38 (2022) - [j3]Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang:
Event stream learning using spatio-temporal event surface. Neural Networks 154: 543-559 (2022) - 2021
- [j2]Runhao Jiang, Jie Zhang, Rui Yan, Huajin Tang:
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization. Neural Comput. 33(9): 2439-2472 (2021) - 2019
- [j1]Yi-Fan Zhou, Runhao Jiang, Xiao Wu, Jun-Yan He, Shuang Weng, Qiang Peng:
BranchGAN: Unsupervised Mutual Image-to-Image Transfer With A Single Encoder and Dual Decoders. IEEE Trans. Multim. 21(12): 3136-3149 (2019)
Conference and Workshop Papers
- 2024
- [c8]Limei Liang, Runhao Jiang, Huajin Tang, Rui Yan:
An Event-based Feature Representation Method for Event Stream Classification using Deep Spiking Neural Networks. IJCNN 2024: 1-8 - 2023
- [c7]Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang:
Adaptive Smoothing Gradient Learning for Spiking Neural Networks. ICML 2023: 35798-35816 - [c6]Runhao Jiang, Jianing Han, Yingying Xue, Ping Wang, Huajin Tang:
CMCI: A Robust Multimodal Fusion Method for Spiking Neural Networks. ICONIP (3) 2023: 159-171 - [c5]Menghao Su, Panpan Yang, Runhao Jiang, Rui Yan:
Event-Based Object Recognition Using Feature Fusion and Spiking Neural Networks. ICONIP (7) 2023: 470-482 - [c4]Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang:
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. NeurIPS 2023 - 2022
- [c3]Jie Zhang, Runhao Jiang, Rong Xiao, Rui Yan:
Dynamic Resistance Based Spiking Actor Network for Improving Reinforcement Learning. ICCAI 2022: 18-23 - [c2]Chuanmeng Zhu, Jiaqiang Jiang, Runhao Jiang, Rui Yan:
An Adaptive Convolution Auto-encoder Based on Spiking Neurons. ICONIP (2) 2022: 49-61 - 2020
- [c1]Tang Tang, Runhao Jiang, Rui Yan, Huajin Tang:
An Event-Driven Object Recognition Model Using Activated Connected Domain Detection. SSCI 2020: 3049-3056
Informal and Other Publications
- 2024
- [i3]Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang:
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks. CoRR abs/2403.12574 (2024) - [i2]Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang:
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. CoRR abs/2404.15597 (2024) - 2023
- [i1]Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang:
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. CoRR abs/2306.12045 (2023)
Coauthor Index
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