Kuang, Yufei

12 publications

ICLR 2025 A Graph Enhanced Symbolic Discovery Framework for Efficient Logic Optimization Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yufei Kuang, Mingxuan Yuan, Jianye Hao, Feng Wu

NeurIPS 2025 Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph Mingxuan Ye, Jie Wang, Fangzhou Zhu, Zhihai Wang, Yufei Kuang, Xijun Li, Weilin Luo, Jianye Hao, Feng Wu

NeurIPS 2025 OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling Haoyang Liu, Jie Wang, Yuyang Cai, Xiongwei Han, Yufei Kuang, Jianye Hao

NeurIPS 2024 MILP-StuDio: MILP Instance Generation via Block Structure Decomposition Haoyang Liu, Jie Wang, Wanbo Zhang, Zijie Geng, Yufei Kuang, Xijun Li, Yongdong Zhang, Bin Li, Feng Wu

NeurIPS 2024 Neural Krylov Iteration for Accelerating Linear System Solving Jian Luo, Jie Wang, Hong Wang, Huanshuo Dong, Zijie Geng, Hanzhu Chen, Yufei Kuang

ICLR 2024 Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu

ICML 2024 Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu

ICLR 2023 Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu

UAI 2023 Learning Robust Representation for Reinforcement Learning with Distractions by Reward Sequence Prediction Qi Zhou, Jie Wang, Qiyuan Liu, Yufei Kuang, Wengang Zhou, Houqiang Li

NeurIPS 2023 State Sequences Prediction via Fourier Transform for Representation Learning Mingxuan Ye, Yufei Kuang, Jie Wang, Yang Rui, Wengang Zhou, Houqiang Li, Feng Wu

AAAI 2022 Learning Robust Policy Against Disturbance in Transition Dynamics via State-Conservative Policy Optimization Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

NeurIPS 2020 Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method Qi Zhou, Yufei Kuang, Zherui Qiu, Houqiang Li, Jie Wang