Wang, Xinshang

10 publications

ICLR 2025 DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models Zeping Min, Xinshang Wang

ICML 2025 Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin

TMLR 2024 DIG-MILP: A Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee Haoyu Peter Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin

ICML 2024 Efficient Algorithms for Sum-of-Minimum Optimization Lisang Ding, Ziang Chen, Xinshang Wang, Wotao Yin

NeurIPS 2024 Rethinking the Capacity of Graph Neural Networks for Branching Strategy Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin

AISTATS 2023 HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent Ziang Chen, Jianfeng Lu, Huajie Qian, Xinshang Wang, Wotao Yin

ICLR 2023 On Representing Linear Programs by Graph Neural Networks Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin

ICLR 2023 On Representing Mixed-Integer Linear Programs by Graph Neural Networks Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin

AAAI 2021 A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, Anxiang Zeng

NeurIPS 2018 The Lingering of Gradients: How to Reuse Gradients over Time Zeyuan Allen-Zhu, David Simchi-Levi, Xinshang Wang