About

Hi. This is Zhihan GUO (郭芷含). I am a third year Ph.D. candidate at the Department of Computer Science and Engineering in The Chinese University of Hong Kong, supervised by Professor Irwin King. I received my M.S. degree from The University of Hong Kong in 2022, and my B.S. degree from the Beijing Institute of Technology in 2021.

My research generally focuses on Machine Learning, Natural Language Processing, and Federated Learning.

News

  • 2024 Mar: One papers has been accepted in the WWW'24.
  • 2024 Jan: One papers has been accepted as Findings in the NAACL'24.

Publication

Conference

  • (NAACL'24, Findings) FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering.[PDF][CODE][BLOG]
    Guo, Z., Zhang, Y., Zhang, Z., Xu, Z., and King, I.
    In 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics.
  • (WWW'24) FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling.[PDF]
    Guo, Z., Zhang, Y., Zhang, Z., Xu, Z., and King, I.
    In Proceedings of The Web Conference 2024.

Experience

  • 2022.08 - Present, Ph.D. student, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • 2021.08 - 2022.08, MSc student, Finance in Financial Technology, The University of Hong Kong, Hong Kong SAR, China.
  • 2017.08 - 2021.08, BSc student, Computer Science and Technology, Beijing Institute of Technology, Beijing, China.

Teaching

At CUHK, I work as a teaching assistant for the following undergraduate courses:
  • CSCI2100: Data Structures, Spring 2024
  • ESTR2102: Data Structures, Spring 2024