Mingkang Wu

According to our database, Mingkang Wu authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Intervalmapping and QR code based multi-stage reversible watermarking scheme for vector map distribution and source tracing.

Xu Xi, Mingkang Wu, Jie Zhang, Huimin Tian, Jinglong Du

J. Inf. Secur. Appl., 2026

2025

Multi-Task Reward Learning from Human Ratings.

Mingkang Wu, Devin White, Evelyn Rose, Vernon Lawhern, Nicholas R. Waytowich, Yongcan Cao

CoRR, June, 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, January, 2025

Performance Optimization of Ratings-Based Reinforcement Learning.

Evelyn Rose, Devin White, Mingkang Wu, Vernon Lawhern, Nicholas R. Waytowich, Yongcan Cao

CoRR, January, 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, January, 2025

Bibliometric Analysis of Digital Watermarking Based on CiteSpace.

Maofeng Weng, Wei Qu, Eryong Ma, Mingkang Wu, Yuxin Dong, Xu Xi

Symmetry, 2025

Normalized Intrinsic Deep Features Based Zero-Watermarking Scheme for Remote Sensing Images Using U-Net and K-Means.

Jie Zhang, Xu Xi, Jinglong Du, Xin He, Mingkang Wu, Yi Wei

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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, Mingkang Wu

IEEE Internet Things J., 2025

A Spatiotemporal Deep Learning Framework for Joint Load and Renewable Energy Forecasting in Stability-Constrained Power Systems.

Min Cheng, Jiawei Yu, Mingkang Wu, Yihua Zhu, Yayao Zhang, Yuanfu Zhu

Inf., 2025

Robust Human-Machine Teaming Through Reinforcement Learning From Failure via Sparse Reward Densification.

Mingkang Wu, Yongcan Cao

IEEE Control. Syst. Lett., 2025

On-Policy Reinforcement Learning From Failure via Sparse Reward Densification.

Mingkang Wu, Yongcan Cao

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Generalized Maximum Entropy Reinforcement Learning via Reward Shaping.

Feng Tao, Mingkang Wu, Yongcan Cao

IEEE Trans. Artif. Intell., April, 2024

Rating-Based Reinforcement Learning.

Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao

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

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

Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

A Fast Affine Motion Estimation Algorithm Based on Motion Vector Difference.

Mengmeng Zhang, Mingkang Wu, Fei Gao, Qing Li, Zhi Liu

Proceedings of the 15th International Conference on Digital Image Processing, 2023

2019

DV-Hop algorithm for adaptive hop-count improvement and average hop distance optimization.

Keqiang Ren, Mingkang Wu

J. High Speed Networks, 2019