Learning the Network of Graphs for Graph Neural Networks. - Yixiang Shan; Jielong Yang; Xing Liu 009; Yixing Gao; Hechang Chen; Shuzhi Sam Ge (CoRR, 2022)

GLAE: A graph-learnable auto-encoder for single-cell RNA-seq analysis. - Yixiang Shan; Jielong Yang; Xiangtao Li; Xionghu Zhong; Yi Chang 001 (Inf. Sci., 2023)

Towards fidelity of graph data augmentation via equivariance. - Bai Zhang; Yixing Gao; Feng Ji; Linbo Xie; Xiaofeng Cao 002; Yixiang Shan; Jielong Yang (Knowl. Based Syst., 2023)

DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching. - Guanghe Li; Yixiang Shan; Zhengbang Zhu; Ting Long; Weinan Zhang 001 (ICML, 2024)

Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning. - Yixiang Shan; Zhengbang Zhu; Ting Long; Qifan Liang; Yi Chang 001; Weinan Zhang 001; Liang Yin (CoRR, 2024)

GL-GNN: Graph learning via the network of graphs. - Yixiang Shan; Jielong Yang; Yixing Gao (Knowl. Based Syst., 2024)

Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency. - Qifan Liang; Yixiang Shan; Haipeng Liu; Zhengbang Zhu; Ting Long; Weinan Zhang 001; Yuan Tian 016 (ICLR, 2025)

ContraDiff: Planning Towards High Return States via Contrastive Learning. - Yixiang Shan; Zhengbang Zhu; Ting Long; Qifan Liang; Yi Chang 001; Weinan Zhang 001; Liang Yin (ICLR, 2025)

RAD: Retrieval High-quality Demonstrations to Enhance Decision-making. - Lu Guo; Yixiang Shan; Zhengbang Zhu; Qifan Liang; Lichang Song; Ting Long; Weinan Zhang 001; Yi Chang 001 (CoRR, 2025)