Research on Open-pit Mine Vehicle Scheduling Problem with Approximate Dynamic Programming. - Te Xu; Fengyuan Shi 003; Wenbo Liu (ICPS, 2019)

Channel Correlation Distillation for Compact Semantic Segmentation. - Chen Wang 074; Jiang Zhong; Qizhu Dai; Yafei Qi; Qien Yu; Fengyuan Shi 003; Rongzhen Li; Xue Li 001; Bin Fang (Int. J. Pattern Recognit. Artif. Intell., 2023)

Multi-view knowledge distillation for efficient semantic segmentation. - Chen Wang 074; Jiang Zhong; Qizhu Dai; Yafei Qi; Fengyuan Shi 003; Bin Fang; Xue Li 001 (J. Real Time Image Process., 2023)

Improvement of Reinforcement Learning With Supermodularity. - Ying Meng; Fengyuan Shi 003; Lixin Tang; Defeng Sun (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Combination Feature-Based Reinforcement Learning Approach via Mathematical Optimization. - Fengyuan Shi 003; Ying Meng; Jiyin Liu; Lixin Tang (IEEE Trans Autom. Sci. Eng., 2025)

Tree Search Reinforcement Learning for Two-Dimensional Cutting Stock Problem With Complex Constraints. - Fengyuan Shi 003; Ying Meng; Lixin Tang (IEEE Trans Autom. Sci. Eng., 2025)