Akang Wang

24 papers A* 6Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Parallel Graver basis extraction for nonlinear integer optimization.
Oper. Res. Lett.
Wenbo Liu, Akang Wang, Wenguo Yang
2025 J jnl
A novel mixed-integer linear programming formulation for continuous-time inventory routing.
Comput. Oper. Res.
Akang Wang, Xiandong Li, Jeffrey E. Arbogast, Zachary Wilson, Chrysanthos E. Gounaris
2025 — conf
Mixed-Integer Linear Optimization via Learning-Based Two-Layer Large Neighborhood Search.
LION (1)
Wenbo Liu, Akang Wang, Wenguo Yang, Qingjiang Shi
2025 J jnl
On Representing Convex Quadratically Constrained Quadratic Programs via Graph Neural Networks.
Trans. Mach. Learn. Res.
Chenyang Wu, Qian Chen, Akang Wang, Tian Ding, Ruoyu Sun, Wenguo Yang, Qingjiang Shi
2025 J jnl
QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks.
CoRR
Qian Chen, Linxin Yang, Akang Wang, Xiaodong Luo, Yin Zhang
2025 A* conf
ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems.
ICML
Yeqing Qiu, Ye Xue, Akang Wang, Yiheng Wang, Qingjiang Shi, Zhi-Quan Luo
2025 J jnl
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting.
Trans. Mach. Learn. Res.
Jinxin Xiong, Xi Gao, Linxin Yang, Jiang Xue, Xiaodong Luo, Akang Wang
2025 A* conf
When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach.
ICLR
Qian Chen, Lei Li, Qian Li, Jianghua Wu, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang, Qingjiang Shi
2025 J jnl
When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach.
CoRR
Chen Qian, Lei Li, Qian Li, Jianghua Wu, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang, Qingjiang Shi
2024 — conf
An Approximate-and-Optimize Method for Security-Constrained AC Optimal Power Flow.
LION
Jinxin Xiong, Shunbo Lei, Akang Wang, Xiaodong Luo
2024 J jnl
An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling.
CoRR
Linxin Yang, Bingheng Li, Tian Ding, Jianghua Wu, Akang Wang, Yuyi Wang, Jiliang Tang, Ruoyu Sun, Xiaodong Luo
2024 A* conf
IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs.
NeurIPS
Xi Gao, Jinxin Xiong, Akang Wang, Qihong Duan, Jiang Xue, Qingjiang Shi
2024 A* conf
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming.
ICML
Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Haitao Mao, Qian Chen, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun
2024 J jnl
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming.
CoRR
Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Qian Chen, Haitao Mao, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun
2024 J jnl
Routing and scheduling of platform supply vessels in offshore oil and gas logistics.
Comput. Oper. Res.
Victor Anselmo Silva, Akang Wang, Virgílio José Martins Ferreira Filho, Chrysanthos E. Gounaris
2024 A* conf
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization.
NeurIPS
Qian Chen, Tianjian Zhang, Linxin Yang, Qingyu Han, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang
2023 A* conf
A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming.
ICLR
Qingyu Han, Linxin Yang, Qian Chen, Xiang Zhou, Dong Zhang, Akang Wang, Ruoyu Sun, Xiaodong Luo
2022 J jnl
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.
CoRR
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
2021 J jnl
Mixed-integer linear optimization for full truckload pickup and delivery.
Optim. Lett.
Akang Wang, Nicholas Ferro, Rita A. Majewski, Chrysanthos E. Gounaris
2021 J jnl
On tackling reverse convex constraints for non-overlapping of unequal circles.
J. Glob. Optim.
Akang Wang, Chrysanthos E. Gounaris
2021 — conf
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.
NeurIPS (Competition and Demos)
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
2021 J jnl
Vehicle routing with endogenous learning: Application to offshore plug and abandonment campaign planning.
Eur. J. Oper. Res.
Steffen Bakker, Akang Wang, Chrysanthos E. Gounaris
2018 J jnl
A Scenario Decomposition Algorithm for Strategic Time Window Assignment Vehicle Routing Problems.
CoRR
Anirudh Subramanyam, Akang Wang, Chrysanthos E. Gounaris
2018 J jnl
A customized branch-and-bound approach for irregular shape nesting.
J. Glob. Optim.
Akang Wang, Christopher L. Hanselman, Chrysanthos E. Gounaris