| 2026 | AAAI | MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization. | Runhao Jiang, Chengzhi Jiang, Rui Yan, Huajin Tang |
| 2026 | SIGIR | Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems. | Runhao Jiang, Renchi Yang, Donghao Wu |
| 2025 | AAAI | GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. | Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang |
| 2025 | CIKM | Community-Aware Social Community Recommendation. | Runhao Jiang, Renchi Yang, Wenqing Lin |
| 2025 | IJCAI | Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics. | Jiaqiang Jiang, Lei Wang, Runhao Jiang, Jing Fan, Rui Yan |
| 2025 | ICRA | Brain-Inspired Spatial Continuous State Encoding for Efficient Spiking-Based Navigation. | Qingao Chai, Jiashuo Wang, Runhao Jiang, Bo Yang, Rui Yan, Huajin Tang |
| 2024 | ECCV | 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 |
| 2024 | IJCNN | An Event-based Feature Representation Method for Event Stream Classification using Deep Spiking Neural Networks. | Limei Liang, Runhao Jiang, Huajin Tang, Rui Yan |
| 2023 | ICML | Adaptive Smoothing Gradient Learning for Spiking Neural Networks. | Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang |
| 2023 | ICONIP | CMCI: A Robust Multimodal Fusion Method for Spiking Neural Networks. | Runhao Jiang, Jianing Han, Yingying Xue, Ping Wang, Huajin Tang |
| 2023 | ICONIP | Event-Based Object Recognition Using Feature Fusion and Spiking Neural Networks. | Menghao Su, Panpan Yang, Runhao Jiang, Rui Yan |
| 2022 | ICONIP | An Adaptive Convolution Auto-encoder Based on Spiking Neurons. | Chuanmeng Zhu, Jiaqiang Jiang, Runhao Jiang, Rui Yan |