A Scenario Decomposition Algorithm for Strategic Time Window Assignment Vehicle Routing Problems. - Anirudh Subramanyam; Akang Wang; Chrysanthos E. Gounaris (CoRR, 2018)

A customized branch-and-bound approach for irregular shape nesting. - Akang Wang; Christopher L. Hanselman; Chrysanthos E. Gounaris (J. Glob. Optim., 2018)

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)

Vehicle routing with endogenous learning: Application to offshore plug and abandonment campaign planning. - Steffen Bakker; Akang Wang; Chrysanthos E. Gounaris (Eur. J. Oper. Res., 2021)

On tackling reverse convex constraints for non-overlapping of unequal circles. - Akang Wang; Chrysanthos E. Gounaris (J. Glob. Optim., 2021)

Mixed-integer linear optimization for full truckload pickup and delivery. - Akang Wang; Nicholas Ferro; Rita A. Majewski; Chrysanthos E. Gounaris (Optim. Lett., 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)

A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming. - Qingyu Han; Linxin Yang; Qian Chen; Xiang Zhou; Dong Zhang; Akang Wang; Ruoyu Sun 001; Xiaodong Luo (ICLR, 2023)

PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. - Bingheng Li; Linxin Yang; Yupeng Chen; Senmiao Wang; Haitao Mao; Qian Chen; Yao Ma 001; Akang Wang; Tian Ding; Jiliang Tang; Ruoyu Sun 001 (ICML, 2024)

An Approximate-and-Optimize Method for Security-Constrained AC Optimal Power Flow. - Jinxin Xiong; Shunbo Lei; Akang Wang; Xiaodong Luo (LION, 2024)

SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization. - Qian Chen; Tianjian Zhang; Linxin Yang; Qingyu Han; Akang Wang; Ruoyu Sun 001; Xiaodong Luo; Tsung-Hui Chang (NeurIPS, 2024)

IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs. - Xi Gao; Jinxin Xiong; Akang Wang; Qihong Duan; Jiang Xue; Qingjiang Shi (NeurIPS, 2024)

Routing and scheduling of platform supply vessels in offshore oil and gas logistics. - Victor Anselmo Silva; Akang Wang; Virgílio José Martins Ferreira Filho; Chrysanthos E. Gounaris (Comput. Oper. Res., 2024)

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling. - Linxin Yang; Bingheng Li; Tian Ding; Jianghua Wu; Akang Wang; Yuyi Wang 006; Jiliang Tang; Ruoyu Sun 001; Xiaodong Luo (CoRR, 2024)

When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach. - Qian Chen; Lei Li 030; Qian Li; Jianghua Wu; Akang Wang; Ruoyu Sun 001; Xiaodong Luo; Tsung-Hui Chang; Qingjiang Shi (ICLR, 2025)

A novel mixed-integer linear programming formulation for continuous-time inventory routing. - Akang Wang; Xiandong Li; Jeffrey E. Arbogast; Zachary Wilson; Chrysanthos E. Gounaris (Comput. Oper. Res., 2025)

Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting. - Jinxin Xiong; Xi Gao; Linxin Yang; Jiang Xue; Xiaodong Luo; Akang Wang (Trans. Mach. Learn. Res., 2025)

When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach. - Chen Qian 006; Lei Li 030; Qian Li; Jianghua Wu; Akang Wang; Ruoyu Sun 001; Xiaodong Luo; Tsung-Hui Chang; Qingjiang Shi (CoRR, 2025)