Zihao Fu

Zihao Fu is an Affiliated Lecturer at the University of Cambridge within the Faculty of Modern and Medieval Languages and Linguistics, specifically at the Language Technology Lab. He also serves as a Research Assistant Professor at The Chinese University of Hong Kong (CUHK). His research spans Natural Language Processing, Large Language Models, and Biomedical Applications with a focus on Parameter-Efficient Fine-Tuning and Algorithmic Fairness. Previously, he was a Postdoctoral Researcher at both University of Cambridge (2021-2024) and University of Oxford (2024-present).

Dr. Fu's academic background includes a Ph.D. in Systems Engineering from The Chinese University of Hong Kong (2017-2021), followed by postdoctoral training at Cambridge and Oxford. His technical expertise integrates Computational Linguistics, Machine Learning, and Algorithmic Fairness to address challenges in Biomedical Named Entity Recognition and Knowledge Base-to-Text Generation.

His recent publications (2020-2025) demonstrate a trajectory from foundational work in Text Generation and KB-to-Text Systems to cutting-edge research in Biomedical LLMs and Algorithmic Fairness Toolkits. Notable contributions include the BAND Biomedical Alert Dataset (AAAI 2024) and theoretical studies on LLM Watermarking and Parameter Stability. While no scientific awards are explicitly listed, his service as a Reviewer for top conferences (AAAI, ACL, NeurIPS) indicates field recognition.

As an educator, he has taught courses like Computational Linguistics at Cambridge (2022-2023) and Advanced Financial Infrastructure at CUHK. His technical projects include open-source tools like StreamTask (parallel processing framework) and CSTL (C++ STL wrapper for Python), reflecting practical implementation skills alongside theoretical contributions.