Wang, Akang

9 publications

TMLR 2025 On Representing Convex Quadratically Constrained Quadratic Programs via Graph Neural Networks Chenyang Wu, Qian Chen, Akang Wang, Tian Ding, Ruoyu Sun, Wenguo Yang, Qingjiang Shi

NeurIPS 2025 QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks Qian Chen, Linxin Yang, Akang Wang, Xiaodong Luo, Yin Zhang

ICML 2025 ROS: A GNN-Based Relax-Optimize-and-Sample Framework for Max-$k$-Cut Problems Yeqing Qiu, Ye Xue, Akang Wang, Yiheng Wang, Qingjiang Shi, Zhi-Quan Luo

TMLR 2025 Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Jinxin Xiong, Xi Gao, Linxin Yang, Jiang Xue, Xiaodong Luo, Akang Wang

ICLR 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

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

ICML 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

NeurIPS 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

ICLR 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