Yufei Kuang

According to our database, Yufei Kuang authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, 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

CoRR, 2024

2023

State Sequences Prediction via Fourier Transform for Representation Learning.

Mingxuan Ye, Yufei Kuang, Jie Wang, Rui Yang, Wengang Zhou, Houqiang Li, Feng Wu

CoRR, 2023

Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation.

Haoyang Liu, Yufei Kuang, Jie Wang, Xijun Li, Yongdong Zhang, Feng Wu

CoRR, 2023

Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning.

Yufei Kuang, Xijun Li, Jie Wang, Fangzhou Zhu, Meng Lu, Zhihai Wang, Jia Zeng, Houqiang Li, Yongdong Zhang, Feng Wu

CoRR, 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

Proceedings of the Uncertainty in Artificial Intelligence, 2023

State Sequences Prediction via Fourier Transform for Representation Learning.

Mingxuan Ye, Yufei Kuang, Jie Wang, Yang Rui, Wengang Zhou, Houqiang Li, Feng Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method.

Qi Zhou, Yufei Kuang, Zherui Qiu, Houqiang Li, Jie Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020