Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions. - Rui Yang 031; Jie Wang 005; Zijie Geng; Mingxuan Ye; Shuiwang Ji; Bin Li 025; Feng Wu 001 (KDD, 2022)

State Sequences Prediction via Fourier Transform for Representation Learning. - Mingxuan Ye; Yufei Kuang; Jie Wang 005; Yang Rui; Wengang Zhou 001; Houqiang Li; Feng Wu 001 (NeurIPS, 2023)

Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution. - Jie Wang 005; Rui Yang 031; Zijie Geng; Zhihao Shi; Mingxuan Ye; Qi Zhou 008; Shuiwang Ji; Bin Li 025; Yongdong Zhang 001; Feng Wu 001 (CoRR, 2023)

State Sequences Prediction via Fourier Transform for Representation Learning. - Mingxuan Ye; Yufei Kuang; Jie Wang 005; Rui Yang 031; Wengang Zhou 001; Houqiang Li; Feng Wu 001 (CoRR, 2023)

Long-Term Feature Extraction via Frequency Prediction for Efficient Reinforcement Learning. - Jie Wang 005; Mingxuan Ye; Yufei Kuang; Rui Yang 031; Wengang Zhou 001; Houqiang Li; Feng Wu 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Advancing Symbolic Discovery on Unsupervised Data: A Pre-training Framework for Non-degenerate Implicit Equation Discovery. - Yufei Kuang; Jie Wang 005; Huang Haotong; Mingxuan Ye; Fangzhou Zhu; Xijun Li; Jianye Hao; Wu Feng (CoRR, 2025)