Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method. - Qi Zhou 008; Yufei Kuang; Zherui Qiu; Houqiang Li; Jie Wang 005 (NeurIPS, 2020)

Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization. - Yufei Kuang; Miao Lu; Jie Wang 005; Qi Zhou 008; Bin Li 025; Houqiang Li (AAAI, 2022)

Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. - Zhihai Wang; Xijun Li; Jie Wang 005; Yufei Kuang; Mingxuan Yuan; Jia Zeng; Yongdong Zhang 001; Feng Wu 001 (ICLR, 2023)

State Sequences Prediction via Fourier Transform for Representation Learning. - Mingxuan Ye; Yufei Kuang; Jie Wang 005; Yang Rui; Wengang Zhou 001; Houqiang Li; Feng Wu 001 (NeurIPS, 2023)

Learning robust representation for reinforcement learning with distractions by reward sequence prediction. - Qi Zhou 008; Jie Wang 005; Qiyuan Liu 008; Yufei Kuang; Wengang Zhou 001; Houqiang Li (UAI, 2023)

Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning. - Yufei Kuang; Xijun Li; Jie Wang 005; Fangzhou Zhu; Meng Lu; Zhihai Wang; Jia Zeng; Houqiang Li; Yongdong Zhang 001; Feng Wu 001 (CoRR, 2023)

Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation. - Haoyang Liu 002; Yufei Kuang; Jie Wang 005; Xijun Li; Yongdong Zhang 001; Feng Wu 001 (CoRR, 2023)

State Sequences Prediction via Fourier Transform for Representation Learning. - Mingxuan Ye; Yufei Kuang; Jie Wang 005; Rui Yang 031; Wengang Zhou 001; Houqiang Li; Feng Wu 001 (CoRR, 2023)

Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics. - Hongyu Liu; Haoyang Liu 002; Yufei Kuang; Jie Wang 005; Bin Li 025 (GECCO Companion, 2024)

Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework. - Yufei Kuang; Jie Wang 005; Haoyang Liu 002; Fangzhou Zhu; Xijun Li; Jia Zeng; Jianye Hao; Bin Li 025; Feng Wu 001 (ICLR, 2024)

Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph. - Yufei Kuang; Jie Wang 005; Yuyan Zhou; Xijun Li; Fangzhou Zhu; Jianye Hao; Feng Wu 001 (ICML, 2024)

Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space. - Qianmei Liu; Yufei Kuang; Jie Wang 005 (IJCNN, 2024)

MILP-StuDio: MILP Instance Generation via Block Structure Decomposition. - Haoyang Liu 002; Jie Wang 005; Wanbo Zhang; Zijie Geng; Yufei Kuang; Xijun Li; Bin Li 025; Yongdong Zhang 001; Feng Wu 005 (NeurIPS, 2024)

Neural Krylov Iteration for Accelerating Linear System Solving. - Jian Luo 012; Jie Wang 005; Hong Wang 028; Huanshuo Dong; Zijie Geng; Hanzhu Chen; Yufei Kuang (NeurIPS, 2024)

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. - 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 197; et al. (CoRR, 2024)

Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming. - Jie Wang 005; Zhihai Wang; Xijun Li; Yufei Kuang; Zhihao Shi; Fangzhou Zhu; Mingxuan Yuan; Jia Zeng; Yongdong Zhang 001; Feng Wu 001 (CoRR, 2024)

MILP-StuDio: MILP Instance Generation via Block Structure Decomposition. - Haoyang Liu 002; Jie Wang 005; Wanbo Zhang; Zijie Geng; Yufei Kuang; Xijun Li; Bin Li 025; Yongdong Zhang 001; Feng Wu 001 (CoRR, 2024)

Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming. - Jie Wang 005; Zhihai Wang; Xijun Li; Yufei Kuang; Zhihao Shi; Fangzhou Zhu; Mingxuan Yuan; Jia Zeng; Yongdong Zhang 001; Feng Wu 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization. - Yinqi Bai; Jie Wang 005; Lei Chen 031; Zhihai Wang; Yufei Kuang; Mingxuan Yuan; Jianye Hao; Feng Wu 001 (ICLR, 2025)

Long-Term Feature Extraction via Frequency Prediction for Efficient Reinforcement Learning. - Jie Wang 005; Mingxuan Ye; Yufei Kuang; Rui Yang 031; Wengang Zhou 001; Houqiang Li; Feng Wu 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Advancing Symbolic Discovery on Unsupervised Data: A Pre-training Framework for Non-degenerate Implicit Equation Discovery. - Yufei Kuang; Jie Wang 005; Huang Haotong; Mingxuan Ye; Fangzhou Zhu; Xijun Li; Jianye Hao; Wu Feng (CoRR, 2025)

Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning. - Yufei Kuang; Xijun Li; Jie Wang 005; Fangzhou Zhu; Meng Lu; Zhihai Wang; Jia Zeng; Houqiang Li; Yongdong Zhang 001; Feng Wu 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)