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Yulan He

yulanhe_2017.jpg

Professor

Room: C2.34

Tel: +44 24 765 73793

Email: Yulan dot He at warwick dot ac dot uk

Web: https://sites.google.com/view/yulanhe

Google Scholar page

Biography

Yulan He is a Professor of Computer Science at the University Warwick. Prior joining Warwick, she was a Reader in Computer Science and the Director of the Systems Analytics Research Institute at Aston University. Before that, she held the academic positions at the Knowledge Media Institute of the Open University, the University of Exeter and the University of Reading. She has published over 150 papers in the areas of text and data mining, sentiment analysis and opinion mining, social media analysis, recommender systems, learning analytics and spoken dialogue systems. In the past, she has served as an Area Chair in top natural language processing conferences including ACL, EMNLP and NAACL and a Senior Programme Committee member in AAAI and IJCAI.

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.

Research Interests

Yulan's research centres on the exploration of statistical models in representing uncertainty and the benefit they bring over earlier work in a wide range of application areas, particularly the integration of machine learning and natural language processing for text understanding.

Some of her interested research topics include:

  • Sentiment analysis and opinion mining. Exploration of machine learning and deep learning techniques for the understanding of sentiments and opinions expressed in text.
  • Natural language processing. Topic, event and storyline extraction from text; conversational agents.
  • Social media analysis. Combining content modelling and social network analysis for understanding online user behaviours.
  • Clinical text mining. Investigation of statistical models for automated extraction of information from clinical documents.

Research Projects (since 2013)

  • DeepPatient: Deep Understanding of Patient Experience of Healthcare in Social Media (2018 - 2020). MSCA Fellowship funded by the EU-H2020.
  • Data Analytics for Future Cities Research (2018), Researcher Links Workshop Grants funded by the British Council.
  • Big Data Content Analytics (2017 - 2019). cR&D project funded by the Technology Strategy Board (TSB).
  • Opinion Cluster Detection from Social Media (Jan 2016 - Dec 2017). Funded by the Overseas Collaboration Fund of Natural Science Foundation of China in collaboration with Southeast University.
  • Data fusing and integration from multiple resources (2015 - 2018). A Knowledge Transfer Partnership (KTP) project in collaboration with Integrated Geochemical Interpretation Ltd funded by the Innovate UK.
  • Big Data: Digitisation, Semantic Analysis, Topic Modelling, Visualisation and Exploration (2014 - 2016). cR&D project funded by the Technology Strategy Board (TSB) under the big data exploitation call.
  • ReDites: real time, detection, tracking, monitoring and interpretation of events in social media (2013 - 2014). Funded by the EPSRC.

Recent Publications

(Click here for full publication list)

News

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