.

Dr Yulan He

Reader

Director of the Systems Analytics Research Institute

Phone number: +44 121 204 5329

Email: y.he9@aston.ac.uk

Room: MB214D


Profile

I joined the School of Engineering and Applied Science, Aston University, UK in 2013. I previously held the positions of Senior Lecturer at the Knowledge Media Institute of the Open University, Lecturer at the University of Exeter, and Lecturer at the University of Reading.

I obtained my BASc (First Class Honours) and MEng degrees in Computer Engineering from Nanyang Technological University, Singapore, and my PhD degree in spoken language understanding from Cambridge University.

For more information about me, please visit my personal website.

My main interests are in social media analysis; sentiment analysis and opinion mining; business intelligence and data mining; text mining; machine learning; and bioinformatics.

Some of my interested research topics include:

  • Social media analysis. Integration of machine learning and natural language processing techniques to analyse social media contents and online user behaviours.
  • Sentiment analysis and opinion mining. Application of machine learning techniques to extract and understand sentiments and opinions expressed on the Web.
  • Biomedical literature mining. Knowledge acquisition from biomedical literature. In particular, investigation of statistical models for biomedical events extraction from textual data.
  • Business intelligence and data mining. Investigation of data mining techniques such as classification, clustering, regression, association rule mining, etc., on business problems.

 


  • Natural Science Foundation of China, Opinion Cluster Detection from Social Media (Jan 2016 - Dec 2017), Principal investigator. 
  • Innovate UK, KTP Project with Integrated Geochemical Interpretation Ltd, (2015 - 2018), with Michal Konecny and Tony Beaumont.
  • TSB, Big Data: Digitisation, Semantic Analysis, Topic Modelling, Visualisation and Exploration, (2014 - 2016), Principal Investigator. 
  • EPSRC-DSTL, ReDites: Real Time, Detection, Tracking, Monitoring and Interpretation of Events in Social Media, (2013 - 2014), Principal investigator.
  • EPSRC-DSTL, Real-Time Detection of Violence and Extremism from Social Media, (2012 - 2013), Principal investigator.
  • EC-FP7, ROBUST: Risk and Opportunity management of huge-scale BUSiness communiTy cooperation (2010 - 2013), Co-investigator.
  • Natural Science Foundation of China, Open Information Extraction using Weakly-Supervised Learning from Abstract Annotations (Jan 2012 - Dec 2014), Co-investigator.
  • Visiting Scholar Scheme by the Chinese Academy of Sciences, Opinion Diffusion Analysis from the Social Web (Jul-Aug 2012), Principal investigator.
  • Open University Social Learn, Exploratory Dialogues Detection in Learning Analytics (Apr-Jun 2012), Principal investigator.
  • Royal Academy of Engineering, Seizing the Predictive Power of Online Communities (Aug 2011), Principal investigator, visit the Chinese University of Hong Kong.

 


For full publication list, please click here.

Book and Book Chapters:

  • C. Lin and Y. He. Sentiment Analysis in Social Media, Encyclopedia of Social Network Analysis and Mining, edited by R.S. Alhajj and J.G. Rokne, Springer, 2014.
  • C. Gurrin, Y. He, G. Kazai, U. Kruschwitz, S. Little, T. Roelleke, S. Rueger, and C.J. van Rijsbergen. Proceedings of the 32nd European Conference on Information Retrieval, Springer-Verlag, 2010.
  • D. Zhou and Y. He. From Biomedical Literature to Knowledge: Information Extraction for Protein-Protein Interactions, Computational Intelligence in Biology, edited by T.G. Smolinski, M.M. Milanova, and A.-E. Hassanien, Springer-Verlag, 2008.

Journal Papers:

  • T. Chen, R. Xu, Y. He, Y. Xia, X. Wang. Learning User and Product Distributed Representations Using a Sequence Model for Sentiment AnalysisIEEE Computational Intelligence Magazine, 11(3):34-44, 2016
  • H. Saif, Y. He, M. Fernandez and H. Alani. Contextual Semantics for Sentiment Analysis of TwitterInformation Processing & Management, 52(1):5-19, 2016.
  • X. Zhao, S. Li, Y. He, E.Y. Chang, J-R Wen and X. Li. Connecting Social Media to E-Commerce: Cold-Start Product Recommendation On MicroblogsIEEE Transactions on Knowledge and Data Engineering, 28(5):1147-1159, 2016.
  • X. Zhao, J. Wang, Y. He, J-R Wen, E.Y. Chang and X. Li. Mining Product Adopter Information from Online Reviews for Improving Product RecommendationACM Transactions on Knowledge Discovery from Data, Vol. 10, No. 3, Article 29, 2016.
  • V. Uren, D. Wright, J. Scott, Y. He and H. Saif. Social Media and Sentiment in Bioenergy ConsultationInternational Journal of Energy Sector Management, 10(1):87-98, 2016.
  • T. Chen, R. Xu, Y. He and X. Wang. A Gloss Composition and Context Clustering based Distributed Word Sense Representation Model, Entropy, 17(9):6007-6024, 2015.
  • X. Zhao, J. Liu, Y. He, C.-Y. Lin and J.-R. Wen. A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogsWorld Wide Web, pp. 1-25, 2015.
  • X. Zhao, S.  Li, Y. He, L. Wang, J-R Wen and X. Li. Exploring Demographic Information in Social Media for Product RecommendationKnowledge and Information Systems, pp. 1-29, 2015.
  • X. Zhao, J. Wang, Y. He, J.-Y. Nie, J. Wen and X. Li. Incorporating Social Role into TopicModels for Social Media Content Analysis, IEEE Transaction for Data and Knowledge Engineering, to appear. 
  • D. Zhou, D. Zhou and Y. He. Event Trigger Identification for Biomedical Events Extraction using Domain Knowledge, Bioinformatics30(11):1587-94, 2014.
  • J. Wang, X. Zhao, Y. He and X. Li. Infer User Interests via Link Structure RegularisationACM Transactions on Intelligent Systems and TechnologyVolume 5 Issue 2, Article No. 23, 2014.
  • A. Varga, A.E. Cano, M. Rowe, F. Ciravegna and Y. He. Linked knowledge sources for topic classification of microposts: A semantic graph-based approachWeb Semantics: Science, Services and Agents on the World Wide Web, Vol. 26, pp. 3657, 2014. 
  • Y. He, C. Lin, W. Gao and K.F. Wong. Tracking Sentiment and Topic Dynamics from Social Media, ACM Transactions on Intelligent Systems and TechnologyVol. 5, No. 1, Article 6, 2013.
  • Y. He. Incorporating Sentiment Prior Knowledge for Weakly-Supervised Sentiment Analysis, ACM Transactions on Asian Language Information Processing, Vol. 11, No. 2, pp. 101-120, 2012.
  • C. Lin, Y. He, and R. Everson. Weakly-supervised Joint Sentiment-Topic Detection from Text, IEEE Transaction for Data and Knowledge Engineering, Vol. 24, No. 6, pp. 1134-1145, 2012. 
  • D. Zhou and Y. He. Knowledge integration for analyzing ChIP-seq. Advanced materials research, Vol. 532-533 , pp. 1344-1348, 2012.
  • Y. He and D. Zhou. Self-Training from Labeled Features for Sentiment Analysis, Information Processing & Management, Vol. 47, No. 4, pp. 606-616, 2011.
  • D. Zhou and Y. He. Biomedical Events Extraction using the Hidden Vector State Model, Artificial Intelligence in Medicine, Vol. 53, No. 3, pp. 205-13, 2011.
  • B.Q. Vuong, Y. He and S.C. Hui. Towards a Web-based Progressive Handwriting Recognition Environment for Mathematical Problem Solving, Expert Systems with Applications, Vol. 37, No. 1, pp. 886 - 893, 2010. 
  • Y. He and S.C. Hui. Exploring Ant-Based Algorithms for Gene Expression Data Analysis, Artificial Intelligence in Medicine, Vol. 47, No. 2, pp. 105-119, 2009.
  • S. Moran, Y. He and K. Liu. Choosing the Best Bayesian Classifier: An Empirical Study, IAENG International Journal of Computer Science, Vol. 36, No. 4, pp. 322-331, 2009.
  • Y. He, S.C. Hui and T.T. Quan. Automatic Summary Assessment for Intelligent Tutoring Systems, Computers & Education, Vol. 53, No. 3, pp. 890-899, 2009. 
  • D. Zhou and Y. He. Discriminative Training of the Hidden Vector State Model for Semantic Parsing, IEEE Transaction for Data and Knowledge Engineering, Vol. 21, No. 1, pp. 66-77, 2009.
  • B.Q. Vuong, S.C. Hui and Y. He. Progressive Structural Analysis for Dynamic Recognition of On-Line Handwritten Mathematical Expressions, Pattern Recognition Letters, Vol 29, pp. 647-655, 2008.
  • D. Zhou and Y. He. Extracting Interactions between Proteins from the Literature, Journal of Biomedical Informatics, Vol. 41, No. 2, pp. 393-407, 2008.
  • D. Zhou, Y. He and C.K. Kwoh. Extracting Protein-Protein Interactions from the Literature using the Hidden Vector State Model, International Journal of Bioinformatics Research and Applications, Vol. 4, No. 1, 2008.

Conference Papers:

  • T. Huynh, Y. He, A. Willis and S. Rueger. Adverse Drug Reaction Classification With Deep Neural Networks, The 26th International Conference on Computational Linguistics (COLING), Osaka, Japan, Dec. 2016.
  • D. Zhou, T. Gao and Y. He. Jointly Event Extraction and Visualization on Twitter via Probabilistic ModellingThe 54th Annual Meeting of the Association for Computational Linguistics (ACL), Berlin, Germany, Aug. 2016. 
  • J. Li, M. Liao, W. Gao, Y. He and K.-F. WongTopic Extraction from Microblog Posts Using Conversation StructuresThe 54th Annual Meeting of the Association for Computational Linguistics (ACL), Berlin, Germany, Aug. 2016. 
  • D. Zhou, H. Xu, X. Dai and Y. He. Unsupervised Storyline Extraction on News ArticlesThe 25th International Joint Conference on Artificial Intelligence (IJCAI), New York, US, Jul. 2016. 
  • L. Gui, R. Xu, Y. He, Q. Lu and Z. Wei. Intersubjectivity and Sentiment: from Language to Knowledge,  The 25th International Joint Conference on Artificial Intelligence (IJCAI), New York, US, Jul. 2016. 
  • A.E. Cano and Y. He. A Study of the Impact of Persuasive Argumentation in Political DebatesThe 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), San Diego, CA, US, June, 2016.
  • U. Orizu and Y. He. Detecting Expressions of Blame or Praise in TextThe 10th edition of the Language Resources and Evaluation Conference (LREC), Portorož, Slovenia, May, 2016.
  • M. Emambakhsh, Y. He and I. Nabney. Handwritten and Machine-Printed Text Discrimination Using a Template Matching ApproachThe 12th IAPR International Workshop on Document Analysis Systems (DAS), Santorini, Greece, Apr. 2016.
  • Y. He. Extracting Topical Phrases from Clinical DocumentsThe 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona, USA, Feb. 2016.
  • D. Zhou, H. Xu and Y. He. An Unsupervised Bayesian Modelling Approach to Storyline Detection from News Articles, The 12th International Conference on Empirical Methods on Natural Language Processing (EMNLP), Lisbon, Portugal, Sep. 2015.
  • G. Burel, P. Mulholland, Y. He and H. Alani. Predicting Answering Behaviour in an Online Question Answering Community, The 26th ACM Conference on Hypertext and Social Media (Hypertext), Cyprus, Sep. 2015.
  • T. Chen, R. Xu,. X. Wang and Y. He. Improving Distributed Representation of Word Sense viaWordNet Gloss Composition and Context Clustering, The 52nd Annual Meeting of the Association for Computational Linguistics (ACL), Beijing, China, Jul. 2015.
  • U. Orizu and Y. He. A Rule-Based Approach to Implicit Emotion Detection in TextThe 20th International Conference on Applications of Natural Language to Information Systems (NLDB), Passau, Germany, June 2015. 
  • G. Burel, P. Mulholland, Y. He and H. Alani. Modelling Question Selection Behaviour in Online Communities. In Companion Proceedings of the 24th International Conference on World Wide Web (WWW), Florence, Italy, May 2015.
  • J. Wang, X. Zhao, Y. He and X. Li. Leveraging Product Adopter Information from Online Reviews for Product RecommendationThe 9th International AAAI Conference on Web and Social Media (ICWSM), Oxford, UK, May 2015. 
  • T. Huynh, Y. He and S. Rueger. Learning Higher-Level Features with Convolutional Restricted Boltzmann Machines for Sentiment AnalysisThe 37th European Conference on Information Retrieval (ECIR), Vienna, Austria, Mar. 2015. 
  • D. Zhou, L. Chen and Y. He. An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorisation, The 29th AAAI Conference (AAAI), Austin, Texas, USA, Jan. 2015. 
  • A.E. Cano, Y. He and H. Alani. Stretching the Life of Twitter Classifiers with Time-Stamped Semantic Graphs. The 13th International Semantic Web Conference (ISWC), Trentino, Italy, Oct. 2014. 
  • H. Saif, Y. He, M. Fernandez and H. Alani. Semantic Patterns for Sentiment Analysis of Twitter. The 13th International Semantic Web Conference (ISWC), Trentino, Italy, Oct. 2014. 
  • A.E. Cano, Y. He and H. Alani. The Topics they are a-Changing — Characterising Topics with Time-Stamped Semantic Graphs. The 13th International Semantic Web Conference (ISWC), Trentino, Italy, Oct. 2014. 
  • X. Zhao, Y. Guo, Y. He and X. Li. We Know What You Want to Buy: A Demographic-Based System for Product Recommendation on MicroblogsThe 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York, USA, Aug. 2014.  
  • E. Cano, Y. He and R. Xu. Automatic Labelling of Topic Models Learned from Twitter by SummarisationThe 51st Annual Meeting of the Association for Computational Linguistics (ACL), Baltimore, USA, June 2014. 
  • D. Zhou, L. Chen and Y. He. A Simple Bayesian Modelling Approach to Event Extraction from TwitterThe 51st Annual Meeting of the Association for Computational Linguistics (ACL), Baltimore, USA, June 2014. 
  • M. Osborne, S. Moran, R. McCreadie, A. Von Lunen, M. Sykora, E. Cano, N. Ireson, C. MacDonald, I. Ounis, Y. He, T. Jackson, F. Ciravegna and A. O'Brien. Real-Time Detection, Tracking and Monitoring of Automatically Discovered Events in Social MediaThe 51st Annual Meeting of the Association for Computational Linguistics (ACL), Baltimore, USA, June 2014. 
  • H. Saif, M. Fernandez, Y. He and H. Alani. SentiCircles for Contextual and Conceptual Semantic Sentiment analysis of Twitter, The 11th European Semantic Web Conference (ESWC), Crete, Greece, May 2014. 
  • G. Burel and Y. He. Quantising Contribution Effort in Online Communities, The 23rd International World Wide Web Conference (WWW)Seoul, Korean, Apr. 2014. 
  • H. Saif, M. Fernandez, Y. He and H. Alani. On Stopwords, Filtering and Data Sparsity for Sentiment Analysis of Twitter, The 9th edition of the Language Resources and Evaluation Conference (LREC), Reykjavik, Iceland, May 2014. 
  • X. Zhao, J. Wang, Y. He, J.-Y. Nie and X. Li. Originator or Propagator? Incorporating Social Role Theory into Topic Models for Twitter Content Analysis, The 22nd ACM International Conference on Information and Knowledge Management (CIKM), San Francisco, US, Oct. 2013. 
  • A.E. Cano, Y. He, K. Liu and J. Zhao. A Weakly-Supervised Bayesian Model for Violence Detection from Social Media, The 6th International Joint Conference on Natural Language Processing (IJCNLP), Nagoya, Japan, Oct. 2013. 
  • Z. Wei, J. Chen, W. Gao, B. Li, L. Zhou, Y. He, K.F. Wong. An Empirical Study on Uncertainty Identification in Social Media Context, The 51st Annual Meeting of the Association for Computational Linguistics (ACL), Sofia, Bulgaria, August, 2013. 
  • X. Zhao, Y. Guo, R. Yan, Y. He. Timeline Generation with Social Attention, The 36th Annual ACM SIGIR Conference (SIGIR), Dublin, Ireland, July, 2013. 
  • G. Burel and Y. HeA Question of Complexity – Measuring the Maturity of Online Enquiry Communities, The 24th ACM Conference on Hypertext and Social Media (HyperText), Paris, France, May, 2013.
  • A.E. Cano, A. Varga, M. Rowe, F. Ciravegna and Y. HeHarnessing Linked Knowledge Sources for Topic Classification in Social Media,The 24th ACM Conference on Hypertext and Social Media (HyperText), Paris, France, May, 2013. 
  • Z. Wei, Y. He, W. Gao, B. Li, L. Zhou and K.F. WongMainstream Media Behaviour Analysis on Twitter: A Case Study Using UK General Election, The 24th ACM Conference on Hypertext and Social Media (HyperText), Paris, France, May, 2013.
  • R. Ferguson, Z. Wei, Y. He and S.B. Shum. An Evaluation of Learning Analytics to Identify Exploratory Dialogue in Online Discussions. The 3rd ACM International Conference on Learning Analytics and Knowledge (LAK), Leuven, Belgium, Apr. 2013. 
  • Z. Wei, Y. He, S.B. Shum, R. Ferguson, W. Gao and K.F. Wong. A Self-Training Framework for Automatic Identification of Exploratory Dialogue. The 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), Samos, Greece, Mar. 2013.
  • C. Lin and Y. He. Feature LDA: a Supervised Topic Model for Semantic Web Services Detection, The 11th International Semantic Web Conference (ISWC), Boston, US, Nov. 2012.
  • H. Saif, Y. He and H. Alani. Semantic-Enabled Sentiment Analysis from Twitter, The 11th International Semantic Web Conference (ISWC), Boston, US, Nov. 2012.
  • Y. He, C. Lin, and E. Cano. Online Sentiment and Topic Dynamics Tracking over the Stream- ing Data, IEEE International Conference on Social Computing (SocialCom), Amsterdam, The Netherlands, Sep. 2012.
  • Y. He, C. Lin, W. Gao, and K.F. Wong. Tracking Sentiment and Topic Dynamics from Social Media, The 6th International AAAI Conference on Weblogs and Social Media (ICWSM), Dublin, Ireland, Jun. 2012.
  • G. Burel, Y. He, and H. Alani. Automatic Identification of Best Answers in Online Enquiry Communities, The 9th Extended Semantic Web Conference (ESWC), Crete, Greece, May 2012.
  • Y. He, H. Saif, Z. Wei, and K.F. Wong. Quantizing Opinions for Political Tweets Analysis, The 8th International Conference on Language Resources and Evaluation (LREC), Istanbul, Turkey, May 2012.
  • C. Lin, Y. He, and R. Everson. Sentence Subjectivity Detection with Weakly-Supervised Learning, The 5th International Joint Conference on Natural Language Processing (IJCNLP), Chiang Mai, Thailand, Nov. 2011. 
  • H. Saif, Y. He, and H. Alani. Semantic Smoothing for Twitter Sentiment Analysis, The 10th International Semantic Web Conference (ISWC), Bonn, Germany, Oct. 2011.
  • D. Zhou and Y. He. A Novel Framework of Training Hidden Markov Support Vector Machines from Lightly-Annotated Data, The 20th ACM Conference on Information and Knowledge Management (CIKM) Glasgow, Scotland, Oct. 2011.
  • Y. He and C. Lin. Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification, The 49th Annual Meeting of the Association for Computational Linguistics (ACL), Portland, Oregon, Jun. 2011.
  • Y. He. Latent Sentiment Model for Weakly-Supervised Cross-Lingual Sentiment Classification, The 33rd European Conference on Information Retrieval (ECIR), Dublin, Ireland, 2011. 
  • D. Zhou and Y. He. Learning Conditional Random Fields from Unaligned Data for Natural Language Understanding, The 33rd European Conference on Information Retrieval (ECIR), Dublin, Ireland, 2011. 
  • D. Zhou and Y. He. Semantic Parsing for Biomedical Event Extraction, The 9th International Conference on Computational Semantics (IWCS), Oxford, UK, Jan. 2011.
  • Y. He. Learning Sentiment Classification Model from Labeled Features, The 19th ACM Conference on Information and Knowledge Management (CIKM), Toronto, Canada, Oct. 2010.  
  • Y. He, H. Alani, and D. Zhou. Exploring English Lexicon Knowledge for Chinese Sentiment Analysis, CIPS-SIGHAN Joint Conference on Chinese Language Processing, Beijing, China, Aug. 2010.
  • C. Lin, Y. He, and R. Everson. A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection, The 14th Conference on Computational Natural Language Learning (CoNLL), Uppsala, Sweden, Jul. 2010.
  • Y. He. Goal Detection from Natural Language Queries, The 15th International Conference on Applications of Natural Language to Information Systems (NLDB), Cardiff, UK, Jun. 2010.  
  • C. Lin and Y. He. Joint Sentiment/Topic Model for Sentiment Analysis, The 18th ACM Conference on Information and Knowledge Management (CIKM), Hong Kong, China, Nov. 2009.  
  • S. Moran, Y. He and K. Liu. An Empirical Framework for Selecting the Best Bayesian Classifier, International Conference on Data Mining and Knowledge Engineering, London, UK, Jul. 2009 (Best Student Paper Award).
  • Y. He and C. Lin. Protein-Protein Interactions Classification from Text via Local Learning with Class Priors, The 14th International Conference on Applications of Natural Language to Information Systems (NLDB), Saabrucken, Germany, Jun. 2009.  
  • Y. He, S.C. Hui, and T.T. Quan. An Ensemble Approach for Summary Assessment, IEEE International Conference on Computer Science and Information Technology, Singapore, Jan. 2009.
  • D. Zhou and Y. He. A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus, The 22nd International Conference on Computational Linguistics (COLING), Manchester, UK, Aug. 2008.
  • S.C. Hui, Y. He and H. Dong. Text Mining for Chat Message Analysis. IEEE International Conferences on Cybernetics & Intelligent Systems (CIS) and Robotics, Automation & Mechatronics (RAM), Chengdu, China, Jun. 2008.

Workshop Papers:

  • H. Saif, M. Fernandez, Y. He  and H. Alani. Datasets for Twitter Sentiment Analysis, Workshop on Emotion and Sentiment in Social and Expressive Media (ESSEM) , co-located in the International Conference of the Italian Association on Articial Intelligence (AI*IA), Torino, Italy, Dec. 2013. 
  • Y. He. A Bayesian Modeling Approach to Sentiment Distributions Prediction, Workshop on Issues on Sentiment Analysis and Opinion Mining co-located with the 18th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD), Beijing, China, Aug. 2012.
  • H. Saif, Y. He, and H. Alani. Alleviating Data Sparsity for Twitter Sentiment Analysis, Making Sense of Microposts Workshop co-located with the 21st International WWW Conference (WWW), Lyon, France, Apr. 2012.
  • C. Wagner, M. Strohmaier and Y. He, Pragmatic metadata matters: How data about the usage of data effects semantic user models, Social Data on the Web Workshop co-located with 10th International Semantic Web Conference (ISWC), Bonn, Germany, 2011.
  • D. Zhou and Y. He. Analyzing ChIP-seq Data based on Multiple Knowledge Sources for Histone Modification, The 8th International Bioinformatics Workshop, Wuhan, China, Jun. 2010.
  • Y. He, K. Nakata, and D. Zhou. Ontology-Based Information Extraction from Literature using the Hidden Vector State Model, Workshop on Semantic Aspects in Data Mining in the IEEE International Conference on Data Mining (ICDM), Pisa, Italy, Dec. 2008.
  • D. Zhou and Y. He. Extracting Protein-Protein Interactions by Discriminative Training of the Hidden Vector State Model, ACL BioNLP Workshop, Columbus, OH, Jun. 2008.