Chenhan Yuan
Manchester Institute of Biotechnology, 131 Princess Street
Manchester, UK
I’m a PhD candidate in Computer Science at the University of Manchester, expected to graduate in later 2024. I received my M.S. in Computer Science from Virginia Tech in 2021 and my B.S. in Electronic Information Science and Technology from the University of Electronic Science and Technology of China in 2019.
My research interests lie in artificial intelligence, natural language processing, machine learning, knowledge graphs, and information retrieval. Specifically, I recently focus on large language model finetuning and benchmarking, temporal reasoning, and knowledge graph reasoning with applications in finance, biology, medicine, and NLP.
I have published conference papers on EMNLP, BigData, BioNLP in ACL, etc and served as a reviewer in ACL, PAKDD, Information Sciences, Information Process & Management. I received a Kilburn Computer Science Department Scholarship from the University of Manchester. I previously won awards including the Outstanding Graduate Student Award and Exchange Student Award at UESTC.
I'm seeking a full-time research scientist role in industry upon my graduation. If you have any open positions that match my qualifications and interests, I would appreciate the opportunity to discuss them further!
news
Oct 20, 2023 | Check out our work on evaluating and improving the complex temporal reasoning ability and explainability of LLM. Project Page (Published in BioNLP in ACL 2023 and Submitted to WWW 2024) |
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Oct 22, 2022 | One paper accepted by IEEE BigData 2022! |
Oct 22, 2021 | One paper accepted by EMNLP2021 (oral)! |
selected publications
- Back to the Future: Towards Explainable Temporal Reasoning with Large Language ModelsarXiv preprint arXiv:2310.01074, 2023
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- GradXKG: A Universal Explain-per-use Temporal Knowledge Graph ExplainerarXiv preprint arXiv:2310.04889, Jul 2023
- Unsupervised relation extraction: A variational autoencoder approachIn EMNLP 2021 (oral), Jul 2021