Shi, Qingjiang

6 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

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

ICLR 2025 Towards Explaining the Power of Constant-Depth Graph Neural Networks for Structured Linear Programming Qian Li, Minghui Ouyang, Tian Ding, Yuyi Wang, Qingjiang Shi, Ruoyu Sun

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

NeurIPS 2024 On the Power of Small-Size Graph Neural Networks for Linear Programming Qian Li, Tian Ding, Linxin Yang, Minghui Ouyang, Qingjiang Shi, Ruoyu Sun