The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Simon Bowly; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; et al. (NeurIPS (Competition and Demos), 2021)

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; Andrea Lodi 001; et al. (CoRR, 2022)

WindGP: Efficient Graph Partitioning on Heterogenous Machines. - Li Zeng; Haohan Huang; Binfan Zheng; Kang Yang; Sheng Cheng Shao; Jinhua Zhou; Jun Xie; Rongqian Zhao; Xin Chen (CoRR, 2024)

A new high-order RKDG method based on the TENO-THINC scheme for shock-capturing. - Haohan Huang; Xinliang Li; Lin Fu (J. Comput. Phys., 2025)

An efficient three-phase interface reconstruction algorithm for two-dimensional VOF method. - Zeyu Zhang; Haohan Huang; Jinglei Yang; Lin Fu (J. Comput. Phys., 2025)

Data-Driven Injection Attack Against Discrete-Time Intelligent Automation Systems With Slowly Time-Varying Delays. - Sheng Gao; Hao Zhang 008; Zhuping Wang; Haohan Huang; Huaicheng Yan 001 (IEEE Trans Autom. Sci. Eng., 2025)