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 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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Dive into the research topics where Lanshun Nie 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
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S2C-HAR: A Semi-Supervised Human Activity Recognition Framework Based on Contrastive Learning
Li, X., Liu, M., Nie, L., Cheng, W., Wu, X. & Zhan, D., 10 Apr 2025, In: Concurrency and Computation: Practice and Experience. 37, 6-8, e70027.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations -
Generalizable Reinforcement Learning-Based Coarsening Model for Resource Allocation over Large and Diverse Stream Processing Graphs
Nie, L., Qiu, Y., Meng, F., Yu, M. & Li, J., 2023, Proceedings - 2023 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2023. Institute of Electrical and Electronics Engineers Inc., p. 435-445 11 p. (Proceedings - 2023 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Link opens in a new tab Scopus citations -
Microservice-Based Computation Offloading in Mobile Edge Computing
Zhang, S., Xu, H., Nie, L. & Zhan, D., 2023, Service Science - CCF 16th International Conference, ICSS 2023, Revised Selected Papers. Wang, Z., Xu, H. & Wang, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 505-519 15 p. (Communications in Computer and Information Science; vol. 1844 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Few shot learning-based fast adaptation for human activity recognition
Nie, L., Li, X., Gong, T. & Zhan, D., Jul 2022, In: Pattern Recognition Letters. 159, p. 100-107 8 p.Research output: Contribution to journal › Article › peer-review
11 Link opens in a new tab Scopus citations -
Holistic Resource Allocation under Federated Scheduling for Parallel Real-time Tasks
Nie, L., Fan, C., Lin, S., Zhang, L., Li, Y. & Li, J., Jan 2022, In: ACM Transactions on Embedded Computing Systems. 21, 1, 13.Research output: Contribution to journal › Article › peer-review
3 Link opens in a new tab Scopus citations