Yufei Kuang

28 papers A* 9A 1B 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automated Optimization Modeling via a Localizable Error-Driven Perspective.
CoRR
Weiting Liu, Han Wu, Yufei Kuang, Xiongwei Han, Tao Zhong, Jianfeng Feng, Wenlian Lu
2025 A* conf
A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization.
ICLR
Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yufei Kuang, Mingxuan Yuan, Jianye Hao, Feng Wu
2025 J jnl
Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Yufei Kuang, Xijun Li, Jie Wang, Fangzhou Zhu, Meng Lu, Zhihai Wang, Jia Zeng, Houqiang Li, Yongdong Zhang, Feng Wu
2025 J jnl
Advancing Symbolic Discovery on Unsupervised Data: A Pre-training Framework for Non-degenerate Implicit Equation Discovery.
CoRR
Yufei Kuang, Jie Wang, Huang Haotong, Mingxuan Ye, Fangzhou Zhu, Xijun Li, Jianye Hao, Wu Feng
2025 J jnl
Long-Term Feature Extraction via Frequency Prediction for Efficient Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jie Wang, Mingxuan Ye, Yufei Kuang, Rui Yang, Wengang Zhou, Houqiang Li, Feng Wu
2025 J jnl
OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling.
CoRR
Haoyang Liu, Jie Wang, Yuyang Cai, Xiongwei Han, Yufei Kuang, Jianye Hao
2024 — conf
Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics.
GECCO Companion
Hongyu Liu, Haoyang Liu, Yufei Kuang, Jie Wang, Bin Li
2024 J jnl
Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics.
CoRR
Hongyu Liu, Haoyang Liu, Yufei Kuang, Jie Wang, Bin Li
2024 J jnl
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming.
CoRR
Jie Wang, Zhihai Wang, Xijun Li, Yufei Kuang, Zhihao Shi, Fangzhou Zhu, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu
2024 J jnl
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming.
IEEE Trans. Pattern Anal. Mach. Intell.
Jie Wang, Zhihai Wang, Xijun Li, Yufei Kuang, Zhihao Shi, Fangzhou Zhu, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu
2024 A* conf
MILP-StuDio: MILP Instance Generation via Block Structure Decomposition.
NeurIPS
Haoyang Liu, Jie Wang, Wanbo Zhang, Zijie Geng, Yufei Kuang, Xijun Li, Bin Li, Yongdong Zhang, Feng Wu
2024 J jnl
MILP-StuDio: MILP Instance Generation via Block Structure Decomposition.
CoRR
Haoyang Liu, Jie Wang, Wanbo Zhang, Zijie Geng, Yufei Kuang, Xijun Li, Bin Li, Yongdong Zhang, Feng Wu
2024 J jnl
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.
CoRR
Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao
2024 A* conf
Neural Krylov Iteration for Accelerating Linear System Solving.
NeurIPS
Jian Luo, Jie Wang, Hong Wang, Huanshuo Dong, Zijie Geng, Hanzhu Chen, Yufei Kuang
2024 A* conf
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework.
ICLR
Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu
2024 B conf
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space.
IJCNN
Qianmei Liu, Yufei Kuang, Jie Wang
2024 J jnl
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space.
CoRR
Qianmei Liu, Yufei Kuang, Jie Wang
2024 A* conf
Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph.
ICML
Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu
2023 J jnl
Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning.
CoRR
Yufei Kuang, Xijun Li, Jie Wang, Fangzhou Zhu, Meng Lu, Zhihai Wang, Jia Zeng, Houqiang Li, Yongdong Zhang, Feng Wu
2023 A* conf
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model.
ICLR
Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu
2023 J jnl
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model.
CoRR
Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu
2023 A conf
Learning robust representation for reinforcement learning with distractions by reward sequence prediction.
UAI
Qi Zhou, Jie Wang, Qiyuan Liu, Yufei Kuang, Wengang Zhou, Houqiang Li
2023 J jnl
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation.
CoRR
Haoyang Liu, Yufei Kuang, Jie Wang, Xijun Li, Yongdong Zhang, Feng Wu
2023 A* conf
State Sequences Prediction via Fourier Transform for Representation Learning.
NeurIPS
Mingxuan Ye, Yufei Kuang, Jie Wang, Yang rui, Wengang Zhou, Houqiang Li, Feng Wu
2023 J jnl
State Sequences Prediction via Fourier Transform for Representation Learning.
CoRR
Mingxuan Ye, Yufei Kuang, Jie Wang, Rui Yang, Wengang Zhou, Houqiang Li, Feng Wu
2022 A* conf
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization.
AAAI
Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li
2021 J jnl
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization.
CoRR
Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li
2020 A* conf
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method.
NeurIPS
Qi Zhou, Yufei Kuang, Zherui Qiu, Houqiang Li, Jie Wang