Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness. - Qingsong Liu 001; Weihang Xu; Siwei Wang 002; Zhixuan Fang (NeurIPS, 2022)

Over-Parameterization Exponentially Slows Down Gradient Descent for Learning a Single Neuron. - Weihang Xu; Simon S. Du (COLT, 2023)

Learning-based Scheduling for Information Gathering with QoS Constraints. - Qingsong Liu 001; Weihang Xu; Zhixuan Fang (INFOCOM, 2024)

Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models. - Weihang Xu; Maryam Fazel; Simon S. Du (NeurIPS, 2024)

Intelligent Vehicle Path Based on Discretized Sampling Points and Improved Cost Function: A Quadratic Programming Approach. - Chengtao Zhang; Weihang Xu (IEEE Access, 2024)

Multimodal Road Network Generation Based on Large Language Model. - Jiajing Chen; Weihang Xu; Haiming Cao; Zihuan Xu; Yu Zhang; Zhao Zhang; Siyao Zhang (CoRR, 2024)

Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models. - Weihang Xu; Maryam Fazel; Simon S. Du (CoRR, 2024)

Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixtures. - Mo Zhou; Weihang Xu; Maryam Fazel; Simon S. Du (CoRR, 2025)