Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition. - Tianzhe Wang; Zetian Jiang; Junchi Yan (AAAI, 2020)

Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks. - He Wang 010; Zetian Jiang; Li Yi 001; Kaichun Mo; Hao Su 001; Leonidas J. Guibas (CoRR, 2020)

Deep Reinforcement Learning of Graph Matching. - Chang Liu 021; Runzhong Wang; Zetian Jiang; Junchi Yan (CoRR, 2020)

Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph. - Zetian Jiang; Tianzhe Wang; Junchi Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Learning Universe Model for Partial Matching Networks over Multiple Graphs. - Zetian Jiang; Jiaxin Lu 001; Tianzhe Wang; Junchi Yan (CoRR, 2022)

Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. - Chang Liu 021; Zetian Jiang; Runzhong Wang; Lingxiao Huang; Pinyan Lu; Junchi Yan (ICLR, 2023)

M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. - Jiaxin Lu 001; Zetian Jiang; Tianzhe Wang; Junchi Yan (ICLR, 2024)

Graph Out-of-Distribution Detection Goes Neighborhood Shaping. - Tianyi Bao; Qitian Wu; Zetian Jiang; Yiting Chen 003; Jiawei Sun; Junchi Yan (ICML, 2024)

Pygmtools: A Python Graph Matching Toolkit. - Runzhong Wang; Ziao Guo; Wenzheng Pan; Jiale Ma; Yikai Zhang; Nan Yang; Qi Liu; Longxuan Wei; Hanxue Zhang; Chang Liu 021; Zetian Jiang; Xiaokang Yang 001; et al. (J. Mach. Learn. Res., 2024)

Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching. - Zetian Jiang; Jiaxin Lu 001; Haizhao Fan; Tianzhe Wang; Junchi Yan (ICLR, 2025)