| GLAE: A graph-learnable auto-encoder for single-cell RNA-seq analysis Y Shan, J Yang, X Li, X Zhong, Y Chang Information Sciences 621, 88-103, 2023 | 5 | 2023 |
| GL-GNN: Graph learning via the network of graphs Y Shan, J Yang, Y Gao Knowledge-Based Systems, 112107, 2024 | | 2024 |
| Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning Y Shan, Z Zhu, T Long, Q Liang, Y Chang, W Zhang, L Yin arXiv preprint arXiv:2402.02772, 2024 | | 2024 |
| DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching G Li, Y Shan, Z Zhu, T Long, W Zhang arXiv preprint arXiv:2402.02439, 2024 | | 2024 |
| Towards fidelity of graph data augmentation via equivariance B Zhang, Y Gao, F Ji, L Xie, X Cao, Y Shan, J Yang Knowledge-Based Systems 280, 111017, 2023 | | 2023 |
| Learning the Network of Graphs for Graph Neural Networks Y Shan, J Yang, X Liu, Y Gao, H Chen, SS Ge arXiv preprint arXiv:2210.03907, 2022 | | 2022 |
