| 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 |
| 2025 | MICCAI | Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks. | Shangqi Gao, Shangde Gao, Ins Machado, Mireia Crispin-Ortuzar |
| 2025 | MICCAI | Uncertainty-Aware Multi-expert Knowledge Distillation for Imbalanced Disease Grading. | Shuo Tong, Shangde Gao, Ke Liu, Zihang Huang, Hongxia Xu, Haochao Ying, Jian Wu |
| 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 |
| 2023 | IJCNN | PCVAE: A Physics-informed Neural Network for Determining the Symmetry and Geometry of Crystals. | Ke Liu, Shangde Gao, Kaifan Yang, Yuqiang Han |
| 2022 | MMSP | Exploring Feature Coupling for Multiple Operations Type and Order Detection. | Shangde Gao, Jiaxin Chen, Xin Liao |