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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Good health and well being
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Affordable and clean energy
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Sustainable cities and communities
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Life on land
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Peace justice and strong institutions
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Dive into the research topics where Xingjian Lu 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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CGAR: A Contrastive Graph Attention Residual Network for Enhanced Fake News Detection
Wang, C., Lu, X., Wang, X. & Qi, C., 2024, Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Proceedings. Zhang, W., Yang, Z., Wang, X., Tung, A., Zheng, Z. & Guo, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 161-175 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14963 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Joint Client Selection and Bandwidth Allocation of Wireless Federated Learning by Deep Reinforcement Learning
Mao, W., Lu, X., Jiang, Y. & Zheng, H., 1 Jan 2024, In: IEEE Transactions on Services Computing. 17, 1, p. 336-348 13 p.Research output: Contribution to journal › Article › peer-review
43 Scopus citations -
POP-FL: Towards Efficient Federated Learning on Edge Using Parallel Over-Parameterization
Lu, X., Zheng, H., Liu, W., Jiang, Y. & Wu, H., 1 Mar 2024, In: IEEE Transactions on Services Computing. 17, 2, p. 617-630 14 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
ST-TPFL: Towards Spatio-Temporal Traffic Flow Prediction Based on Topology Protected Federated Learning
Lin, Y., Lu, X., Wang, Y., Jiang, Y. & Mao, W., 2024, Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Proceedings. Zhang, W., Yang, Z., Wang, X., Tung, A., Zheng, Z. & Guo, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 437-451 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14962 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
ACORN: Adaptive Compression-Reconstruction for Video Services in 5G-U Industrial IoT
Lei, J., Yang, P., Kong, L., Ma, Y., Lu, X., Lin, D., Chen, G. & Zhao, E., 2023, Proceedings - 2023 19th International Conference on Mobility, Sensing and Networking, MSN 2023. Institute of Electrical and Electronics Engineers Inc., p. 285-292 8 p. (Proceedings - 2023 19th International Conference on Mobility, Sensing and Networking, MSN 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations