Tel: +44 24 765 73793
Email: Yulan dot He at warwick dot ac dot uk
Yulan He is a Professor of Computer Science at the University of Warwick. Prior joining Warwick, she was a Reader in Computer Science and the Director of the Systems Analytics Research Institute at Aston University. She has published over 160 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. She is a Program Co-Chair in EMNLP 2020 and has served as a (Senior) Area Chair in top natural language processing conferences including ACL, EMNLP and NAACL.
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.
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, topic/event extraction from text, combining language and vision for multimodal analysis, clinical text mining, conversational agents and social media analytics.
Research Projects (since 2013)
- Twenty20Insights, (2020-2023), funded by the EPSRC.
- 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.
(Click here for full publication list)
- J. Zeng, J. Li, Y. He, C. Gao, M. Lyu and I. King. What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. The Web Conference (WWW), Taipei, Apr. 2020.
- V. Batra, A. Haldar, Y. He, H. Ferhatosmanoglu, G. Vogiatzis and T. Guha. Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration. The 42nd European Conference on Information Retrieval (ECIR), Lisbon, Portugal, Apr. 2020.
- R. Wang, D. Zhou and Y. He. Optimising topic coherence with Weighted Polya Urn scheme. Neurocomputing, to appear.
- R. Wang, D. Zhou and Y. He. Open Event Extraction from Online Texts using a Generative Adversarial Network. Conference on Empirical Methods in Natural Language Processing (EMNLP), Hong Kong, China, Nov. 2019.
- Y. Yang, D. Zhou, Y. He and M. Zhang. Interpretable Relevant Emotion Ranking with Event-Driven Attention. Conference on Empirical Methods in Natural Language Processing (EMNLP), Hong Kong, China, Nov. 2019.
- L. Gui, J. Leng, G. Pergola, Y. Zhou, R. Xu and Y. He. Neural Topic Model with Reinforcement Learning. Conference on Empirical Methods in Natural Language Processing (EMNLP), Hong Kong, China, Nov. 2019.
- M. Hu, D. Zhou and Y. He. Variational Conditional GAN for Fine-grained Controllable Image Generation. in ACML, Nagoya, Japan, Nov. 2019.
- G. Pergola, L. Gui and Y. He. TDAM: a Topic-Dependent Attention Model for Sentiment Analysis. Information Processing and Management, 56(6):102084, 2019.
- R. Wang, D. Zhou and Y. He. ATM: Adversarial-neural Topic Model. Information Processing and Management, to appear.
- L. Zhu, Y. He and D. Zhou. Neural Opinion Dynamics Model for the Prediction of User-Level Stance Dynamics. Information Processing and Management, to appear.
- J. Zeng, J. Li, Y. He, C. Gao, M. Lyu, I. King. What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. Transactions of the Association for Computational Linguistics (TACL), to appear.
- J. Du, L. Gui, Y. He, R. Xu and X. Wang. Convolution-Based Neural Attention with Applications to Sentiment Classification. IEEE Access, 7:27983 - 27992, 2019.
- L. Zhu, Y. He and D. Zhou. Hierarchical Viewpoint Discovery from Tweets Using Bayesian Modelling. Expert Systems with Applications, 116:430-438, 2019.
- D. Tang, Z. Zhang, Y. He, C. Lin and D. Zhou. Hidden Topic–Emotion Transition Model for Multi-Level Social Emotion Detection, Knowledge-Based Systems, to appear.
- Y. Yang, D. Zhou and Y. He. An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking. The 15th International Conference on Empirical Methods on Natural Language Processing (EMNLP), Brussel, Belgium, Oct. 2018.
- J. Du, W. Li, Y. He, L. Bing, R. Xu and X. Wang. Variational Autoregressive Decoder for Neural Response Generation, The 15th International Conference on Empirical Methods on Natural Language Processing (EMNLP), Brussel, Belgium, Oct. 2018.
- D. Zhou, Z. Zhang, M. Zhang and Y. He. Weakly Supervised Part-of-Speech (POS) Tagging without Disambiguation, ACM Transactions on Asian and Low-Resource Language Information Processing, 17(4):Article 35, 2018.
- D. Zhou, L Miao and Y. He. Position-Aware Deep Multi-Task Learning for Drug-Drug Interaction Extraction. Artificial Intelligence in Medicine, 87:1-8, 2018.
- T. Bai, W.X. Zhao, Y. He, J-Y. Nie and J.-R. Wen. Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites. IEEE Transactions on Knowledge and Data Engineering, 30(12):2271-2284, 2018.
- D. Zhou, Y. Yang and Y. He. Relevant Emotion Ranking from Text Constrained with Emotion Relationships, The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), New Orleans, Louisiana, USA, Jun. 2018.
- D. Zhou, L. Guo and Y. He. Neural Storyline Extraction Model for Storyline Generation from News Articles, The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), New Orleans, Louisiana, USA, Jun. 2018.
- U. Orizu and Y. He. Content-Based Conflict-of-Interest Detection on Wikipedia, The 11th International Conference on Language Resources and Evaluation (LREC), Miyazaki, Japan, May 2018.
- V. Batra, Y. He and G. Vogiatzis. A Deep Learning Approach to Automatic Caption Generation for News Images, The 11th International Conference on Language Resources and Evaluation (LREC), Miyazaki, Japan, May 2018.
- G. Pergola, Y. He and D. Lowe. Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context, The 2nd AAAI Workshop on Health Intelligence, New Orleans, Louisiana, USA, Feb. 2018.
- W.X. Zhao, W. Zhang, Y. He, X. Xie and J.-R. Wen. Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems. ACM Transactions on Information Systems, Vol. 36, No. 3, Article 27, 2018.
Office hours (for Spring Term)