Personal profile
Author IDs
ORCID iD: 0000-0003-4857-5439
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Dive into the research topics where Meng XU is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations from the last five years
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Research output
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AC Optimal Power Flow Based on Collaborative Neurodynamic Optimization
Zou, Y., Xu, M. & Chen, Z., 2026, Advances in Neural Networks – ISNN 2025: 19th International Symposium on Neural Networks, Zhangye, China, August 22–24, 2025, Proceedings. Jin, L. & Wang, L. (eds.). Singapore: Springer , p. 291-300 10 p. (Lecture Notes in Computer Science; vol. 15951).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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A Generic Competitive-Cooperative Actor-Critic Framework for Deep Reinforcement Learning
Xu, M., Wen, Z., Chen, X., Zhao, G., Huang, J. & Wang, J., 16 Feb 2026, (Online published) In: IEEE Transactions on Pattern Analysis and Machine Intelligence.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning
Xu, M., Chen, X., Chen, Z., Zhao, G., Jin, Y. & Wang, J., 20 Jan 2026, Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence. 9 p.Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Policy Diversification through Representation Distinguishability Regularization for Multi-Actor Deep Reinforcement Learning
XU, M., CHEN, X., WANG, S., ZHAO, G. & WANG, J., 31 Jan 2026, (Accepted/In press/Filed) 2026 IEEE International Conference on Robotics and Automation (ICRA 2026).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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A Novel Topology Adaptation Strategy for Dynamic Sparse Training in Deep Reinforcement Learning
Xu, M., Chen, X. & Wang, J., Jul 2025, In: IEEE Transactions on Neural Networks and Learning Systems. 36, 7, p. 12271 - 12283 13 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Prizes
Thesis
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Achieving Lightweightness and Data Efficiency in Deep Reinforcement Learning for Compound Agent Learning
XU, M. (Author), WANG, J. (Supervisor) & ZHANG, Q. (Supervisor), 15 Jul 2024Student thesis: Doctoral Thesis