Haofeng Yuan | 袁浩峰

About Me

I am currently a Ph.D. student in the Department of Automation at Tsinghua University, advised by Prof. Shiji Song. Before that, I received my B.E. degree in the Department of Precision Instrument at Tsinghua University.

My research interests mainly lie at the interface of Artificial Intelligence (AI) and Operational Research (OR). Specifically, my work is focused on exploiting Machine Learning (including Reinforcement Learning and Large Language Models) to solve Combinatorial Optimization problems (such as Vehicle Routing Problem, Job-Shop Scheduling Problem, etc.) and accelerate algorithms (such as Branch & Bound, Column Generation, etc.) for solving large-scale Integer Programming problems.

Research Interests

Machine Learning: reinforcement learning, graph neural network, large language model;
Combinatorial Optimization: routing, scheduling, mixed integer linear programming;
Applications: logistics and transportation, manufacturing and production, etc.

Publications

T-II

Dynamic Scheduling for Hot Rolling Production by Hierarchical Reinforcement Learning and Heterogeneous Graph Neural Networks

Haofeng Yuan, Zhiguang Cao, Jianing Peng, Wanlu Yang, Yuli Zhang, Shiji Song*

IEEE Transactions on Industrial Informatics (T-II), 2026.

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EMNLP

FormuEvo: LLM-Guided Evolution for Discovering Solver-Efficient Mixed-Integer Programming Formulations

Haofeng Yuan, Jianing Peng, Jieyi Bi, Ni Zhang, Shiji Song*, Zhiguang Cao

The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026.

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TETCI

Deep Reinforcement Learning for Traveling Purchaser Problems

Haofeng Yuan, Rongping Zhu, Wanlu Yang, Shiji Song*, KeyouYou, WeiFan, C. L. Philip Chen

IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2025.

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T-ITS

Unified Scheduling Model for High-Speed Train Timetable Optimization and Rescheduling Based on Deep Reinforcement Learning

Wanlu Yuang, Linyu Liu, Haofeng Yuan, Shiji Song*

IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2025.

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AAAI

A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation

Haofeng Yuan, Lichang Fang, Shiji Song*

AAAI Conference on Artificial Intelligence (AAAI), 2024.

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SMC

The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems

Haofeng Yuan, Peng Jiang, Shiji Song*

IEEE International Conference on Systems, Man and Cybernetics (SMC), 2022.

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SMC

Accelerating Column Generation Algorithm Using Machine Learning Based Column Elimination

Lichang Fang, Haofeng Yuan, Yuli Zhang, Shiji Song*

IEEE International Conference on Systems, Man and Cybernetics (SMC), 2023.

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Academic Services

Reviewer for INFORMS Journal on Computing (IJOC)
Reviewer for IEEE Transactions on Intelligent Transportation Systems (TITS)
Reviewer for IEEE Transactions on Industrial Informatics (TII)
Reviewer for IEEE Transactions on Automation Science and Engineering (T-ASE)
Reviewer for Transportation Research Part E (TR-E)
Reviewer for Advances in Neural Information Processing Systems (NeurIPS)
Reviewer for Empirical Methods in Natural Language Processing (EMNLP)
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Contact

E-mail: yhf22@mails.tsinghua.edu.cn
Address: Room 603, Central Main Building, Tsinghua University, Beijing, China.