DV-Hop algorithm for adaptive hop-count improvement and average hop distance optimization. - Keqiang Ren; Mingkang Wu (J. High Speed Networks, 2019)

A Fast Affine Motion Estimation Algorithm Based on Motion Vector Difference. - Mengmeng Zhang; Mingkang Wu; Fei Gao; Qing Li 074; Zhi Liu 008 (ICDIP, 2023)

Research on Back-to-Back HVDC Additional Frequency Synchronous Control Strategy Applied to Asynchronous Interconnected Systems. - Qinlei Chen; Libin Huang; Shuyong Li; Xuehua Lin; Wencong Wu; Mingkang Wu; Liang Tu; Qi Guo (iSPEC, 2023)

Rating-Based Reinforcement Learning. - Devin White; Mingkang Wu; Ellen R. Novoseller; Vernon J. Lawhern; Nicholas R. Waytowich; Yongcan Cao (AAAI, 2024)

Generalized Maximum Entropy Reinforcement Learning via Reward Shaping. - Feng Tao 003; Mingkang Wu; Yongcan Cao (IEEE Trans. Artif. Intell., 2024)

On-Policy Reinforcement Learning From Failure via Sparse Reward Densification. - Mingkang Wu; Yongcan Cao (AAMAS, 2025)

Vertex Attack Resistant Watermarking Scheme for Vector Maps Based on Virtual Vertices and Frequency Coefficient Ratios of DWT. - Xu Xi; Chengyi Qu; Jinglong Du; Jie Zhang 103; Mingkang Wu (IEEE Internet Things J., 2025)

Normalized Intrinsic Deep Features Based Zero-Watermarking Scheme for Remote Sensing Images Using U-Net and K-Means. - Jie Zhang 103; Xu Xi; Jinglong Du; Xin He; Mingkang Wu; Yi Wei (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

RbRL2.0: Integrated Reward and Policy Learning for Rating-based Reinforcement Learning. - Mingkang Wu; Devin White; Vernon Lawhern; Nicholas R. Waytowich; Yongcan Cao (CoRR, 2025)

Performance Optimization of Ratings-Based Reinforcement Learning. - Evelyn Rose; Devin White; Mingkang Wu; Vernon Lawhern; Nicholas R. Waytowich; Yongcan Cao (CoRR, 2025)

A fidelity evaluation model for watermarked vector maps based on improved fuzzy comprehensive evaluation and random forest. - Xu Xi; Huimin Tian; Jinglong Du; Mingkang Wu; Rui Huang (Earth Sci. Informatics, 2025)

Multi-Task Reward Learning from Human Ratings. - Mingkang Wu; Devin White; Evelyn Rose; Vernon Lawhern; Nicholas R. Waytowich; Yongcan Cao (CoRR, 2025)