Projects per year
Personal profile
Chinese Name
Research Interests
Robust Machine Learning, Algorithmic Game Theory, Networked Systems, Social Computing, Ethics of AI
Biography
Dr. Yupeng LI is interested in studying robust machine learning in network science. He is excited about interdisciplinary research that applies algorithmic techniques to edging problems. Dr. Li takes advantage of powerful techniques in learning, algorithm, and game theory to design and analyze networked systems, such as information networks and social networks. Recently, he has worked on robust online and decentralized machine learning techniques with performance guarantees, and he has extended these techniques to modern areas in networking and social computing. Dr. Li has been awarded the Rising Star in Social Computing Award by CAAI and the distinction of Distinguished Member of the IEEE INFOCOM Technical Program Committee in 2022. He serves on the technical committees of some top conferences in computer science. His works have been published in prestigious venues, such as IEEE INFOCOM, ACM MobiHoc, IEEE ICDCS, IEEE Journal on Selected Areas in Communications, and IEEE/ACM Transactions on Networking. He has awarded national, provincial, municipal and industry competitive research fundings from funding agencies such as RGC, NSFC, GDSTC, and CCF Research Fund. He is a member of ACM and IEEE.
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):
Projects
- 2 Active
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Research on Robust Federated Learning Mechanisms Against Untargeted and Targeted Attacks in Edge Computing Environments
1/01/23 → 31/12/25
Project: Research project
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Analysis of influencer advertising on social media posts and its influence on audience engagement
Fan, F., Chan, K., Prieler, M., Li, Y. & Wang, Y., 23 Jun 2022.Research output: Contribution to conference › Paper › peer-review
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Modeling Access Environment and Behavior Sequence for Financial Identity Theft Detection in E-Commerce Services
Ye, Q., Gao, Y., Zhang, Z., Chen, Y., Li, Y., Gao, M., Chen, S., Wang, X. & Chen, Y., 18 Jul 2022, 2022 International Joint Conference on Neural Networks (IJCNN) - Proceedings. IEEE, p. 1-8 8 p. (International Joint Conference on Neural Networks (IJCNN) - Proceedings).Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
Pricing-based resource allocation in three-tier edge computing for social welfare maximization
Li, Y., Xia, M., Duan, J. & Chen, Y., 9 Nov 2022, In: Computer Networks. 217, 13 p., 109311.Research output: Contribution to journal › Article › peer-review
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Regularization-Based Coflow Scheduling in Optical Circuit Switches
Tan, H., Zhang, C., Xu, C., Li, Y. P., Han, Z. & Li, X. Y., Jun 2021, In: IEEE/ACM Transactions on Networking. 29, 3, p. 1280-1293 14 p., 9359108.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Robust Online Learning against Malicious Manipulation and Feedback Delay with Application to Network Flow Classification
Li, Y., Liang, B. & Tizghadam, A., Aug 2021, In: IEEE Journal on Selected Areas in Communications. 39, 8, p. 2648-2663 16 p.Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus)