Mingxuan Ye

According to our database, Mingxuan Ye authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

Opt-Verifier: Unleashing the Power of LLMs for Optimization Modeling via Dual-Side Verification.

Haoyang Liu, Jie Wang, Boxuan Niu, Xiongwei Han, Yian Xu, Mingxuan Ye, Zijie Geng, Fangzhou Zhu, Tao Zhong, Mingxuan Yuan, Jianye Hao

CoRR, May, 2026

2025

Advancing Symbolic Discovery on Unsupervised Data: A Pre-training Framework for Non-degenerate Implicit Equation Discovery.

Yufei Kuang, Jie Wang, Huang Haotong, Mingxuan Ye, Fangzhou Zhu, Xijun Li, Jianye Hao, Wu Feng

CoRR, May, 2025

Long-Term Feature Extraction via Frequency Prediction for Efficient Reinforcement Learning.

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

IEEE Trans. Pattern Anal. Mach. Intell., April, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution.

Jie Wang, Rui Yang, Zijie Geng, Zhihao Shi, Mingxuan Ye, Qi Zhou, Shuiwang Ji, Bin Li, Yongdong Zhang, Feng Wu

CoRR, 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

2022

Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions.

Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022