Jinhang ZUO

Prof. Jinhang ZUO, 左金航

  • YEUNG-Y6424

Calculated based on number of publications stored in Pure and citations from Scopus
20152024

Research activity per year

Personal profile

Author IDs

Scopus Author ID: 57189661139

Impact

Qualifications (Brief)

BEng NUPT, MSc PhD CMU

Research Interests/Areas

  • Machine Learning
  • Networking
  • Distributed Systems
  • Edge Computing

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):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities

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Collaborations from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond

    Liu, X., Wang, S., Zuo, J., Zhong, H., Wang, X., Wang, Z., Li, S., Hajiesmaili, M., Lui, J. C. S. & Chen, W., Jul 2024, Proceedings of the 41st International Conference on Machine Learning. p. 32139-32172 (Proceedings of Machine Learning Research; vol. 235).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Open Access
  • CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT

    Hu, Y., Zuo, J., Zhao, A., Iannucci, B. & Joe-Wong, C., 2024, Proceedings - 2024 IEEE International Workshop on Foundation Models for Cyber-Physical Systems and Internet of Things: FMSys 2024. IEEE, p. 1-6 (Proceedings - IEEE International Workshop on Foundation Models for Cyber-Physical Systems and Internet of Things, FMSys).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

  • Edge-MSL: Split Learning on the Mobile Edge via Multi-Armed Bandits

    Kim, T., Zuo, J., Zhang, X. & Joe-Wong, C., 2024, IEEE INFOCOM 2024 - IEEE Conference on Computer Communications. IEEE, p. 391-400 (Proceedings - IEEE INFOCOM).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    1 Citation (Scopus)
  • Learning Context-Aware Probabilistic Maximum Coverage Bandits: A Variance-Adaptive Approach

    Liu, X., Zuo, J., Wang, J., Wang, Z., Xu, Y. & Lui, J. C. S., 2024, IEEE INFOCOM 2024 - IEEE Conference on Computer Communications. IEEE, p. 2189-2198 (Proceedings - IEEE INFOCOM).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    1 Citation (Scopus)
  • Learning With Side Information: Elastic Multi-Resource Control for the Open RAN

    Zhang, X., Zuo, J., Huang, Z., Zhou, Z., Chen, X. & Joe-Wong, C., Feb 2024, In: IEEE Journal on Selected Areas in Communications. 42, 2, p. 295-309

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    3 Citations (Scopus)