C. Gurrin, Y. He, G. Kazai, U. Kruschwitz, S. Little, T. Roelleke, S. Rueger, and K. van Rijsbergen. Advances in Information Retrieval. The 32nd European Conference on IR Research, Milton Keynes, UK, ECIR 2010, Springer LNCS 5993, Mar. 2010.
D. Zhou, Y. He and C.K. Kwoh. 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.
Y. He. Incorporating Sentiment Prior Knowledge for Weakly-Supervised Sentiment Analysis, ACM Transactions on Asian Language Information Processing, to appear.
C. Lin, Y. He, R. Everson and S. Rueger. Weakly-supervised Joint Sentiment-Topic Detection from Text, IEEE Transactions on Knowledge and Data Engineering, Vol. 24, No. 6, pp. 1134-1145, 2012.
Y. He and D. Zhou. Self-Training from Labelled 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. 205-213, 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, S.C. Hui, and T.T. Quan. Automatic Summary Assessment for Intelligent Tutoring Systems, Computers & Education, Vol. 53, No. 3, pp. 890-899, 2009.
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.
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.
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.
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 MEDLINE using the Hidden Vector State Model, International Journal of Bioinformatics Research and Applications, Vol. 4, No. 1, pp. 64-80, 2008.
S. Lukman, Y. He, and S.C. Hui. Computational Methods for Traditional Chinese Medicine: A Survey, Computer Methods and Programs in Biomedicine, Vol. 88, pp. 283-294, 2007.
D. Zhou, Y. He, and C.K. Kwoh. Semi-Supervised Learning of the Hidden Vector State Model for Extracting Protein-Protein Interactions, Artificial Intelligence in Medicine, Vol. 41, No. 3, pp. 209-222, 2007.
H. Dong, S.C. Hui, and Y. He. Structural Analysis of Chat Messages for Topic Detection. Online Information Review, Vol. 30, No. 5, pp. 496-516, 2006.
Y. He and S.J. Young. Spoken Language Understanding using the Hidden Vector State Model. Speech Communication Special Issue on Spoken Language Understanding for Conversational Systems, Vol. 48, No. 3-4, pp. 262-275, 2006.
Y. He and S.J. Young. Semantic Processing using the Hidden Vector State Model. Computer Speech and Language, Vol. 19, No. 1, pp. 85-106, 2005.
Y. He, S.C. Hui, and A.C.M. Fong. Citation-Based Retrieval for Scholarly Publications. IEEE Intelligent Systems, Vol. 18, No. 2, pp. 58-65, 2003.
Y. He, S.C. Hui, and A.C.M. Fong. Mining a Web Citation Database for Document Clustering. Journal of Applied Artificial Intelligence, Vol. 16, No. 4, pp. 283-302. Apr 2002
Y. He and S.C. Hui. Mining a Web Citation Database for Author Co-Citation Analysis. Information Processing & Management, Vol. 38, No. 4, pp. 491-508, Elsevier Science, 2002.
Y. He and S.C. Hui. PubSearch: A Web Citation-Based Retrieval System. Library Hi Tech, Vol. 19, No. 3, MCB University Press, 2001.
S. Foo, S.C. Hui, S.W. Yip, and Y. He. Approaches for Resolving Dynamic IP Addressing. Internet Research, Vol. 7, No. 3, pp. 208-216, 1997.
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.
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 the 10th International Semantic Web Conference (ISWC), Bonn, Germany, Oct. 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.
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.
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, C. Lin and H. Alani. 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, Apr. 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, Apr. 2011.
D. Zhou and Y. He. Semantic Parsing for Biomedical Event Extraction, The 9th International Conference on Computational Semantics, 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 (CLP), 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. Gurrin, Y. He, G. Kazai, U. Kruschwitz, S. Little, T. Roelleke, S. Rueger, and K. van Rijsbergen. Recent Developments in Information Retrieval, The 32nd European Conference on Information Retrieval (ECIR), Milton Keynes, UK, Mar. 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.
Y. He and C. Lin. Protein-Protein Interactions Classification from Text via Local Learning with Class Priors, 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 Semantic Assessment of Summary Writings, International Conference on Computer Engineering and Technology, Singapore, Jan. 2009.
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, Pisa, Italy, Dec. 2008.
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.
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.
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
S.C. Hui, Y. He, and D.T.C. Thach. Machine Learning for Tongue Diagnosis, Sixth International Conferences on Information, Communications and Signal Processing, Singapore, Dec. 2007.
D. Zhou, Y. He, and C.K. Kwoh. Effective Reranking for Extracting Protein-Protein Interactions from Biomedical Literature, International Conference on Bioinformatics, Hong Kong, China, Aug, 2007.
Y. He, S.C. Hui, and H.S. Toh. Ant-Based Association Rule Mining on Gene Expression Data, IAPR Workshop on Pattern Recognition in Bioinformatics, Singapore, Oct. 2007.
D. Zhou, Y. He, C.K. Kwoh, and H.Wang. Ant-MST: an Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering, IAPR Workshop on Pattern Recognition in Bioinformatics, Singapore, Oct. 2007.
D. Zhou, Y. He, and C.K. Kwoh. Training the Hidden Vector State Model from Un-annotated Corpus, International Conference on Computational Science, Advanced Computational Approaches and IT Techniques in Bioinformatics, Beijing, China, May. 2007.
D. Zhou, Y. He, and C.K. Kwoh. Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction, IEEE Symposium on Computational Intelligence and Data Mining (CIDM), Honolulu, Hawaii, Apr. 2007.
D. Zhou, Y. He and C.K. Kwoh. Validating Text Mining Results on Protein-Protein Interactions using Gene Expression Profiles, International Conference on Biomedical and Pharmaceutical Engineering, Singapore, Dec. 2006.
Y. He, S.C. Hui, and Y. Sim. A Novel Ant-Based Clustering Approach for Document Clustering, Asia Information Retrieval Symposium (AIRS), Singapore, LNCS 4182, Springer 2006, pp. 537-544.
D. Zhou, Y. He, and C. K. Kwoh. An Improved Hidden Vector State Model Approach and its Adaptation in Extracting Protein Interaction Information from Biomedical Literature. International Conference on Computational System Biology, Shanghai, China, July 20-23, 2006.
D. Zhou, Y. He, and C. K. Kwoh. Extracting Protein-Protein Interactions from the Literature using the Hidden Vector State Model.International Workshop on Bioinformatics Research and Applications, Reading, UK, May 28-31, LNCS 3992, Springer 2006, pp. 718-725.
Y. He, T.T. Quan, and S.C. Hui. A Multimodal Restaurant Finder for Semantic Web. IEEE International Conference on Computer Science RIVF2006, Ho Chi Minh City, Vietnam, Feb, 2006.
Y. He, S.C. Hui, and E. M.-K. Lai . Automatic Timetabling using Artificial Immune System. International Conference on Algorithmic Applications in Management, Xi'an, China, LNCS 3521, Springer, 2005, pp. 55-65.
Y. He and S.J. Young. Robustness Issues in a Data-Driven Spoken Language Understanding System. HLT/NAACL Workshop on Spoken Language Understanding for Conversational Systems, Boston, MA, May 7, 2004.
Y. He and S.J. Young. A Data-Driven Spoken Language Understanding System. IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), US Virgin Islands, Nov 30-Dec 4, 2003.
Y. He and S.J. Young. Hidden Vector State Model for Hierarchical Semantic Parsing. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hong Kong, Apr 6-10, 2003.
Y. He and S.C. Hiu. Mining Citation Database for the Retrieval of Scientific Publications over the WWW. International Conference on Intelligent Information Processing, Beijing, P.R.China, Aug 21-25, 2000.
Y. He. Bayesian Models for Sentence-Level Subjectivity Detection. Technical report kmi-10-02, Knowledge Media Institute, The Open University, UK, Jun. 2010.
Y. He. A Statistical Approach to Spoken Language Understanding. PhD Thesis, Engineering Department, Cambridge University, UK, 2004.
Y. He. Mining a Web citation database for the retrieval of scientific publications over the WWW, MEng Thesis, School of Computer Engineering, Nanyang Technological University, Singapore, 2001.