Haofeng Yuan

According to our database, Haofeng Yuan authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Deep Reinforcement Learning for Traveling Purchaser Problems.

Haofeng Yuan, Rongping Zhu, Wanlu Yang, Shiji Song, Keyou You, Wei Fan, C. L. Philip Chen

IEEE Trans. Emerg. Top. Comput. Intell., February, 2026

2025

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

Wanlu Yang, Linyu Liu, Haofeng Yuan, Shiji Song

IEEE Trans. Intell. Transp. Syst., June, 2025

Learning to Stabilize Column Generation.

Lichang Fang, Haofeng Yuan, Shiji Song, Bokui Chen

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Deep Reinforcement Learning for Traveling Purchaser Problems.

Haofeng Yuan, Rongping Zhu, Wanlu Yang, Shiji Song, Keyou You, Yuli Zhang

CoRR, 2024

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

Haofeng Yuan, Lichang Fang, Shiji Song

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

CSP & GCP for Column Generation.

Haofeng Yuan

Dataset, April, 2023

CSP & GCP for Column Generation.

Haofeng Yuan

Dataset, April, 2023

Accelerating Column Generation Algorithm Using Machine-Learning-Based Column Elimination.

Lichang Fang, Haofeng Yuan, Yuli Zhang, Shiji Song

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Capacity Optimization Configuration of Multi-Microgrid Shared Energy Storage Based on Negotiation Game.

Qingsong Zhao, Gang Liu, Zhonghui Wang, Haofeng Yuan, Hui Ma

Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

2022

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

Haofeng Yuan, Peng Jiang, Shiji Song

CoRR, 2022

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

Haofeng Yuan, Peng Jiang, Shiji Song

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022