BiasedWalk: Learning Global-aware Node Embeddings via Biased Sampling. - Zhengrong Xue; Ziao Guo; Yiwei Guo (CoRR, 2022)

Deep Learning of Partial Graph Matching via Differentiable Top-K. - Runzhong Wang; Ziao Guo; Shaofei Jiang; Xiaokang Yang 001; Junchi Yan (CVPR, 2023)

LinSATNet: The Positive Linear Satisfiability Neural Networks. - Runzhong Wang; Yunhao Zhang; Ziao Guo; Tianyi Chen; Xiaokang Yang 001; Junchi Yan (ICML, 2023)

Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach. - Changwen Zhang; Wenli Ouyang; Hao Yuan 002; Liming Gong; Yong Sun; Ziao Guo; Zhichen Dong; Junchi Yan (ICLR, 2024)

ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation. - Ziao Guo; Yang Li 197; Chang Liu 021; Wenli Ouyang; 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)