| 2026 | AAAI | Parallel Training Time-to-First-Spike Spiking Neural Networks. | Kaiwei Che, Wei Fang, Peng Xue, Yifan Huang, Zhengyu Ma, Yonghong Tian |
| 2026 | AAAI | SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition. | Jiaqi Wang, Liutao Yu, Xiongri Shen, Sihang Guo, Chenlin Zhou, Leilei Zhao, Yi Zhong, Zhiguo Zhang, Zhengyu Ma |
| 2026 | AAAI | Spikingformer: A Key Foundation Model for Spiking Neural Networks. | Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Jiaqi Wang, Huihui Zhou, Zhengyu Ma, Yonghong Tian |
| 2025 | ICTAI | Enhancing GraphRAG with Syntactic Knowledge and Mixture-of-Experts for Knowledge-Intensive QA. | Zhengyu Ma, Xiaojia Jin, Dongming Zhao, Bo Wang |
| 2024 | ACL | Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder. | Jiaqi Wang, Zhenxi Song, Zhengyu Ma, Xipeng Qiu, Min Zhang, Zhiguo Zhang |
| 2024 | ICANN | Temporal Contrastive Learning for Spiking Neural Networks. | Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian |
| 2023 | AAAI | Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. | Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian |
| 2023 | ICLR | A Unified Framework for Soft Threshold Pruning. | Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian |
| 2022 | ICML | State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks. | Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian |