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ORCIDMingkang Wu
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2020 – today
- 2026
[j9]Xu Xi, Mingkang Wu, Jie Zhang, Huimin Tian, Jinglong Du:
Intervalmapping and QR code based multi-stage reversible watermarking scheme for vector map distribution and source tracing. J. Inf. Secur. Appl. 96: 104303 (2026)- 2025
- [j8]Mingkang Wu
, Yongcan Cao:
Robust Human-Machine Teaming Through Reinforcement Learning From Failure via Sparse Reward Densification. IEEE Control. Syst. Lett. 9: 2315-2320 (2025) - [j7]Xu Xi, Huimin Tian, Jinglong Du, Mingkang Wu, Rui Huang:
A fidelity evaluation model for watermarked vector maps based on improved fuzzy comprehensive evaluation and random forest. Earth Sci. Informatics 18(1): 100 (2025) - [j6]Min Cheng, Jiawei Yu, Mingkang Wu, Yihua Zhu, Yayao Zhang, Yuanfu Zhu:
A Spatiotemporal Deep Learning Framework for Joint Load and Renewable Energy Forecasting in Stability-Constrained Power Systems. Inf. 16(8): 662 (2025) - [j5]Xu Xi, Chengyi Qu, Jinglong Du, Jie Zhang, Mingkang Wu:
Vertex Attack Resistant Watermarking Scheme for Vector Maps Based on Virtual Vertices and Frequency Coefficient Ratios of DWT. IEEE Internet Things J. 12(15): 32086-32100 (2025) - [j4]Jie Zhang, Xu Xi, Jinglong Du, Xin He, Mingkang Wu, Yi Wei:
Normalized Intrinsic Deep Features Based Zero-Watermarking Scheme for Remote Sensing Images Using U-Net and K-Means. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 18224-18239 (2025) - [j3]Maofeng Weng, Wei Qu, Eryong Ma, Mingkang Wu, Yuxin Dong, Xu Xi:
Bibliometric Analysis of Digital Watermarking Based on CiteSpace. Symmetry 17(6): 871 (2025) - [c4]Mingkang Wu, Yongcan Cao:
On-Policy Reinforcement Learning From Failure via Sparse Reward Densification. AAMAS 2025: 2792-2794 - [i4]Mingkang Wu, Devin White, Vernon Lawhern, Nicholas R. Waytowich, Yongcan Cao:
RbRL2.0: Integrated Reward and Policy Learning for Rating-based Reinforcement Learning. CoRR abs/2501.07502 (2025) - [i3]Evelyn Rose, Devin White, Mingkang Wu, Vernon Lawhern, Nicholas R. Waytowich, Yongcan Cao:
Performance Optimization of Ratings-Based Reinforcement Learning. CoRR abs/2501.07755 (2025) - [i2]Mingkang Wu, Devin White, Evelyn Rose, Vernon Lawhern, Nicholas R. Waytowich, Yongcan Cao:
Multi-Task Reward Learning from Human Ratings. CoRR abs/2506.09183 (2025) - 2024
- [j2]Feng Tao, Mingkang Wu, Yongcan Cao:
Generalized Maximum Entropy Reinforcement Learning via Reward Shaping. IEEE Trans. Artif. Intell. 5(4): 1563-1572 (2024) - [c3]Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao:
Rating-Based Reinforcement Learning. AAAI 2024: 10207-10215 - 2023
- [c2]Mengmeng Zhang, Mingkang Wu, Fei Gao, Qing Li, Zhi Liu:
A Fast Affine Motion Estimation Algorithm Based on Motion Vector Difference. ICDIP 2023: 61:1-61:7 - [c1]Qinlei Chen, Libin Huang, Shuyong Li, Xuehua Lin, Wencong Wu, Mingkang Wu, Liang Tu, Qi Guo:
Research on Back-to-Back HVDC Additional Frequency Synchronous Control Strategy Applied to Asynchronous Interconnected Systems. iSPEC 2023: 1-6 - [i1]Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao:
Rating-based Reinforcement Learning. CoRR abs/2307.16348 (2023)
2010 – 2019
- 2019
- [j1]Keqiang Ren, Mingkang Wu:
DV-Hop algorithm for adaptive hop-count improvement and average hop distance optimization. J. High Speed Networks 25(2): 127-137 (2019)
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