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Yulan He (何瑜岚) is a Professor in Natural Language Processing at the Department of Informatics of the King's College London, UK. Her research interests lie in the integration of machine learning and natural language processing for text analytics. She has published over 300 papers. Topics include LLM agents, machine reading comprehension, model interpretability and trustworthy AI, AI for education and health. She currently holds a five-year Turing AI Fellowship, funded by the UK Research and Innovation (UKRI).
She has received several prizes and awards for her research, including a SWSA Ten-Year Award and a CIKM Test-of-Time Award, and was named an inaugural Highly Ranked Scholar by ScholarGPS. In 2020, AMiner also recognised her as one of the most influential AI researchers of the past decade.
Yulan obtained her PhD degree in spoken language understanding from the University of Cambridge, and her MEng and BASc (First Class Honours) degrees in Computer Engineering from Nanyang Technological University, Singapore.
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Sep 2025, Yulan gave a keynote on "Thinking" in LLMs at the UK AI Research Symposium 2025, Newcastle, UK.
Sep 2025, Yulan gave a keynote on advancing radiology report generation with LLMs at the International Conference on AI for Healthcare 2025, Cambridge, UK.
Sep 2025, Yulan delivered a lecture on encoder-decoder architecture in the Athens NLP Summer School, Athens, Greece.
Sep 2025, 9 papers accepted to EMNLP 2025.
July 2025, Yulan He secured a 3-year grant from the EPSRC to develop an AI-enabled high-stakes assessment tool, in collaboration with AQA. [news]
Jun 2025, Yulan delivered a lecture on "Self-Evolution of LLMs" at the Deep Learning School, Université Côte d'Azur, Nice, France.
July 2025, Yanzheng Xiang has his SciReplicate-Bench paper accepted to COLM 2025.
May 2025, 14 papers accepted to ACL 2025.
May 2025, Yulan He was appointed as the Lead of the Digital and AI Innovation theme of the £35M EMBRACE project led by Prof. Josip Car, funded by Inkfish.
May 2025, 3 papers accepted to ICML 2025.
Feb 2025, Yulan He gave a plenary talk on "Advanced in Interpretable Language Modelling" at the 11th Vienna International Conference on Mathematical Modelling (MATHMOD 2025).
Jan 2025, Xingwei Tan has a paper on salient event graph generation using cascaded LLMs accepted to NAACL 2025.
Jan 2025, Yulan He received funding from the Department for Education in the UK to develop a personalised assessment and feedback tool for secondary school science. [news]
Dec 2024, we have 3 papers accepted to COLING 2025 and 3 papers to AAAI 2025.
Sep 2024, Yulan He gave a keynote on Enhancing LLM Reasoning through Reflection and Refinement at INLG 2024.
Sep 2024, we have 5 papers accepted to EMNLP 2024.
July 2024, Yulan He gave a tutorial on Machine Reading Comprehension with Large Language Models in DeepLearn 2024 and the Westlake University AI Open Course.
May 2024, we have 6 papers accepted to ACL 2024.
Mar 2024, Xingwei Tan has a paper on event temporal graph generation from text accepted to NAACL 2024.
Mar 2024, Wenjia Zhang has a paper on Multi-Layer Ranking with LLMs for News Source Recommendation accepted to SIGIR 2024.
Feb 2024, 3 papers accepted to LREC-COLING 2024.
Jan 2024, we have 2 papers accepted to EACL 2024 and 1 paper to ICLR 2024.
Jan 2024, Jun Wang has a paper on Class Activation Map Guided Attention Network for Radiology Report Generation accepted to IEEE Journal of Biomedical and Health Informatics.
Dec 2023, Hanqi Yan has a paper on explainable recommender system accepted to IEEE Transactions on Knowledge and Data Engineering.
Nov 2023, Yulan He received a grant supported by Innovate UK under the Accelerating Trustworthy AI: Phase 2 Collaborative R&D call, led by AI for Global Goals.
Oct 2023, we have 5 papers accepted to EMNLP 2023.
Oct 2023, Yulan He gave a keynote on "Interpretable Natural Language Understanding" at CIKM 2023.
Sep 2023, Hanqi Yan has a paper on Counterfactual Generation with Identifiability Guarantees accepted to NeurIPS 2023.
July 2023, together with colleagues from Thomson Reuters Labs and Amazon Alexa AI, Lin Gui and Yulan He delivered a tutorial on Uncertainty Quantification for Text Classification in SIGIR 2023.
May 2023. Yulan He delivered a talk on "Have LLMs solved NLP" in the King's Festival of Artificial Intelligence.
May 2023, Jiazheng has a paper on uncertainty interpretation of text classifiers built on pre-trained language models accepted to UAI 2023.
May 2023, 2 papers accepted to ACL 2023.
April 2023, Runcong has a paper on Unsupervised Contrastive Opinion Extraction accepted by SIGIR 2023.
February 2023, 5 papers accepted to EACL 2023.
January 2023, a paper on "Tracking Brand-Associated Polarity-Bearing Topics in User Reviews" has been accepted by the Transactions of the Association for Computational Linguistics.
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