| 2025 | ACL | FoldMoE: Efficient Long Sequence MoE Training via Attention-MoE Pipelining. | Guichao Zhu, Lintian Lei, Yuhao Qing, Yichao Fu, Fanxin Li, Dong Huang, Zekai Sun, Heming Cui |
| 2025 | IJCAI | Mat-Instructions: A Large-Scale Inorganic Material Instruction Dataset for Large Language Models. | Ke Liu, Shangde Gao, Yichao Fu, Xiaoliang Wu, Shuo Tong, Ajitha Rajan, Hao Xu |
| 2025 | IJCNN | Matrix Factorization with Dynamic Multi-view Clustering for Recommender System. | Shangde Gao, Ke Liu, Yichao Fu, Hongxia Xu, Jian Wu |
| 2024 | ICML | Break the Sequential Dependency of LLM Inference Using Lookahead Decoding. | Yichao Fu, Peter Bailis, Ion Stoica, Hao Zhang |
| 2024 | ICML | When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models. | Haoran You, Yichao Fu, Zheng Wang, Amir Yazdanbakhsh, Yingyan Celine Lin |
| 2024 | MICCAI | KA | Shangde Gao, Yichao Fu, Ke Liu, Hongxia Xu, Jian Wu |
| 2023 | ICANN | Contrastive Knowledge Amalgamation for Unsupervised Image Classification. | Shangde Gao, Yichao Fu, Ke Liu, Yuqiang Han |