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Yufei Kuang
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Journal Articles
- 2024
- [j1]Jie Wang
, Zhihai Wang
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9697-9713 (2024)
Conference and Workshop Papers
- 2024
- [c9]Hongyu Liu
Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics. GECCO Companion 2024: 2067-2075 - [c8]Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu:
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework. ICLR 2024 - [c7]Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu:
Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph. ICML 2024 - [c6]Qianmei Liu, Yufei Kuang, Jie Wang:
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space. IJCNN 2024: 1-8 - 2023
- [c5]Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. ICLR 2023 - [c4]Mingxuan Ye, Yufei Kuang, Jie Wang, Yang Rui, Wengang Zhou, Houqiang Li, Feng Wu:
State Sequences Prediction via Fourier Transform for Representation Learning. NeurIPS 2023 - [c3]Qi Zhou, Jie Wang, Qiyuan Liu, Yufei Kuang, Wengang Zhou, Houqiang Li:
Learning robust representation for reinforcement learning with distractions by reward sequence prediction. UAI 2023: 2551-2562 - 2022
- [c2]Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li:
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization. AAAI 2022: 7247-7254 - 2020
- [c1]Qi Zhou, Yufei Kuang, Zherui Qiu, Houqiang Li, Jie Wang:
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method. NeurIPS 2020
Informal and Other Publications
- 2024
- [i10]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:
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR abs/2401.05960 (2024) - [i9]Jie Wang, Zhihai Wang, Xijun Li, Yufei Kuang, Zhihao Shi, Fangzhou Zhu, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming. CoRR abs/2404.12638 (2024) - [i8]Qianmei Liu, Yufei Kuang, Jie Wang:
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space. CoRR abs/2405.11982 (2024) - [i7]Hongyu Liu, Haoyang Liu, Yufei Kuang, Jie Wang, Bin Li:
Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics. CoRR abs/2406.09740 (2024) - [i6]Haoyang Liu, Jie Wang, Wanbo Zhang, Zijie Geng, Yufei Kuang, Xijun Li, Bin Li, Yongdong Zhang, Feng Wu:
MILP-StuDio: MILP Instance Generation via Block Structure Decomposition. CoRR abs/2410.22806 (2024) - 2023
- [i5]Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. CoRR abs/2302.00244 (2023) - [i4]Yufei Kuang, Xijun Li, Jie Wang, Fangzhou Zhu, Meng Lu, Zhihai Wang, Jia Zeng, Houqiang Li, Yongdong Zhang, Feng Wu:
Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning. CoRR abs/2310.11845 (2023) - [i3]Haoyang Liu, Yufei Kuang, Jie Wang, Xijun Li, Yongdong Zhang, Feng Wu:
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation. CoRR abs/2310.14161 (2023) - [i2]Mingxuan Ye, Yufei Kuang, Jie Wang, Rui Yang, Wengang Zhou, Houqiang Li, Feng Wu:
State Sequences Prediction via Fourier Transform for Representation Learning. CoRR abs/2310.15888 (2023) - 2021
- [i1]Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li:
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization. CoRR abs/2112.10513 (2021)
Coauthor Index
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