Lihu Chen

Dr. Lihu Chen is a Research Fellow in the Department of Computing at Imperial College London's Faculty of Engineering, specializing in fact checking, data science, and large language models. His work bridges generative AI, knowledge graphs, and biomedical informatics, focusing on model interpretability and robustness. He contributes to projects like Pub-Guard-LLM for detecting fraudulent biomedical articles and YAGO 4.5, a knowledge base with advanced taxonomy. His research also explores query-relevant neuron identification in LLMs and efficient entity disambiguation systems.

Key research interests include uncertainty estimation in AI systems, lightweight neural architectures, and applications in healthcare. He co-organized the GenAIK workshop on generative AI and knowledge graphs, reflecting his interdisciplinary approach to advancing AI's societal impact.