| 2024 | AAAI | Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms. | Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu |
| 2024 | ECCV | Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models. | Rining Wu, Feixiang Zhou, Ziwei Yin, Jian K. Liu |
| 2023 | AAAI | ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. | Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang |
| 2023 | CVPR | Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. | Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan |
| 2022 | BMVC | Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks. | Zhile Yang, Shangqi Guo, Ying Fang, Jian K. Liu |
| 2020 | IJCNN | Recognizing Scoring in Basketball Game from AER Sequence by Spiking Neural Networks. | Jiangrong Shen, Yu Zhao, Jian K. Liu, Yueming Wang |
| 2020 | IJCNN | Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model. | Qiongyi Zhou, Changde Du, Dan Li, Haibao Wang, Jian K. Liu, Huiguang He |
| 2018 | PDP | Implementation of Bayesian Inference In Distributed Neural Networks. | Zhaofei Yu, Tiejun Huang, Jian K. Liu |