Akang Wang

According to our database, Akang Wang authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach.

Chen Qian, Lei Li, Qian Li, Jianghua Wu, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang, Qingjiang Shi

CoRR, January, 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

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

When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach.

Qian Chen, Lei Li, Qian Li, Jianghua Wu, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang, Qingjiang Shi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling.

Linxin Yang, Bingheng Li, Tian Ding, Jianghua Wu, Akang Wang, Yuyi Wang, Jiliang Tang, Ruoyu Sun, Xiaodong Luo

CoRR, 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

IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs.

Xi Gao, Jinxin Xiong, Akang Wang, Qihong Duan, Jiang Xue, Qingjiang Shi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization.

Qian Chen, Tianjian Zhang, Linxin Yang, Qingyu Han, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

An Approximate-and-Optimize Method for Security-Constrained AC Optimal Power Flow.

Jinxin Xiong, Shunbo Lei, Akang Wang, Xiaodong Luo

Proceedings of the Learning and Intelligent Optimization - 18th International Conference, 2024

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, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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, Xiaodong Luo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

CoRR, 2022

2021

Mixed-integer linear optimization for full truckload pickup and delivery.

Akang Wang, Nicholas Ferro, Rita A. Majewski, Chrysanthos E. Gounaris

Optim. Lett., 2021

On tackling reverse convex constraints for non-overlapping of unequal circles.

Akang Wang, Chrysanthos E. Gounaris

J. Glob. Optim., 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

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, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2018

A customized branch-and-bound approach for irregular shape nesting.

Akang Wang, Christopher L. Hanselman, Chrysanthos E. Gounaris

J. Glob. Optim., 2018

A Scenario Decomposition Algorithm for Strategic Time Window Assignment Vehicle Routing Problems.

Anirudh Subramanyam, Akang Wang, Chrysanthos E. Gounaris

CoRR, 2018