Xu, Hong

10 publications

NeurIPS 2025 Learning Provably Improves the Convergence of Gradient Descent Qingyu Song, Wei Lin, Hong Xu

CVPR 2024 Towards Robust Learning to Optimize with Theoretical Guarantees Qingyu Song, Wei Lin, Juncheng Wang, Hong Xu

ICMLW 2023 Learning to Optimize Non-Convex Sum-Rate Maximization Problems Qingyu Song, Guochen Liu, Hong Xu

NeurIPS 2019 Greedy Sampling for Approximate Clustering in the Presence of Outliers Aditya Bhaskara, Sharvaree Vadgama, Hong Xu

IJCAI 2017 Summary: Multi-Agent Path Finding with Kinematic Constraints Wolfgang Hönig, T. K. Satish Kumar, Liron Cohen, Hang Ma, Hong Xu, Nora Ayanian, Sven Koenig

IJCAI 2016 Improved Solvers for Bounded-Suboptimal Multi-Agent Path Finding Liron Cohen, Tansel Uras, T. K. Satish Kumar, Hong Xu, Nora Ayanian, Sven Koenig

UAI 1995 Generating Explanations for Evidential Reasoning Hong Xu, Philippe Smets

UAI 1994 Evidential Reasoning with Conditional Belief Functions Hong Xu, Philippe Smets

UAI 1993 A Belief-Function Based Decision Support System Hong Xu, Yen-Teh Hsia, Philippe Smets

UAI 1992 A Decision Calculus for Belief Functions in Valuation-Based Systems Hong Xu