Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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Dive into the research topics where Liangjun Ke is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Communication in Multiagent Reinforcement Learning via Counterfactual Message Value
Gao, Z., Qu, C., Hao, Y. & Ke, L., 2025, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 55, 11, p. 8152-8165 14 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
FEDSR: Federated Learning for Image Super-Resolution via detail-assisted contrastive learning
Yang, Y., Ren, X. & Ke, L., 30 Jan 2025, In: Knowledge-Based Systems. 309, 112778.Research output: Contribution to journal › Article › peer-review
8 Scopus citations -
Role can be beneficial to mean field multi-agent reinforcement learning
Zhang, S., Yu, Z., Hao, L. & Ke, L., Dec 2025, In: Information Sciences. 721, 122522.Research output: Contribution to journal › Article › peer-review
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基于深度强化学习的交通信号控制
Qiao, Z. M. & Ke, L. J., Jan 2025, In: Kongzhi Lilun Yu Yingyong/Control Theory and Applications. 42, 1, p. 76-86 11 p.Translated title of the contribution :Traffic signal control based on deep reinforcement learning Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Adaptive mean field multi-agent reinforcement learning
Wang, X., Ke, L., Zhang, G. & Zhu, D., May 2024, In: Information Sciences. 669, 120560.Research output: Contribution to journal › Article › peer-review
13 Scopus citations