Zihao Fu
Scholar

Zihao Fu

Google Scholar ID: 64CHB2YAAAAJ
University of Oxford, University of Cambridge, CUHK
Natural Language ProcessingMachine LearningText GenerationLanguage Model
Citations & Impact
All-time
Citations
665
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • * Evaluating Model Explanations without Ground Truth, FAccT 2025
  • * OxonFair: A Flexible Toolkit for Algorithmic Fairness, NeurIPS 2024
  • * BAND: Biomedical Alert News Dataset, AAAI 2024
  • * A Stability Analysis of Fine-Tuning a Pre-Trained Model, PrePrint
  • * Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder, PrePrint
  • * Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization, EMNLP 2023
  • * On the Effectiveness of Parameter-Efficient Fine-Tuning, AAAI 2023
  • * Open Domain Text Generation, PhD Thesis, 2021
  • * A Theoretical Analysis of the Repetition Problem in Text Generation, AAAI 2021
Research Experience
  • - 2024-Present, PostDoc, University of Oxford, Oxford Internet Institute, Advisor: Prof. Chris Russell
  • - 2021-2024, PostDoc, University of Cambridge, Language Technology Lab, Advisor: Prof. Nigel Collier
  • - 2015-2017, Machine Learning Algorithm Engineer, Alibaba Cloud IDST
Education
  • - Ph.D.: 2017-2021, The Chinese University of Hong Kong, Department of Systems Engineering and Engineering Management, Advisor: Prof. Wai Lam
  • - M.E.: 2012-2015, Beihang University, National Laboratory for Aeronautics and Astronautics, Advisor: Prof. Guanghong Gong
  • - B.E.: 2008-2012, Beihang University, School of Automation Science and Electrical Engineering
Background
  • Currently a Research Assistant Professor at The Chinese University of Hong Kong, focusing on large language models and natural language processing, with a particular interest in interdisciplinary studies involving linguistics, psychology, and fairness. Also serving as an Affiliated Lecturer at the Language Technology Lab, University of Cambridge.
Miscellany
  • The group is hiring postdoctoral researchers and research assistants at CUHK and CUHK (Shenzhen). Remote collaboration is also welcome!