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Wenting Tu

(Email: wentingtu09 AT gmail DOT com)

About me

I am currently a Ph.D student at Department of Computer Science, The University of Hong Kong (HKU), supervised by Prof. David Cheung and Prof. Nikos Mamoulis. Before that, I obtained my master degree from Department of Computer Science, East China Normal University (ECNU) in 2012, supervised by Prof. Shiliang Sun

Research Interests

I have broad interests in data mining and machine learning, with focuses on the following topics: big-data based investing, personalized services/recommendation systems and practical applications with text mining.

News

  • 4/2016: We have two papers (about big-data based investment and user profiling, respectively) accepted to SIGIR 2016! (As short papers; Accept Ratio: 104 out of 339, 30.7%)

  • 2/2015: We have one paper (about recommendation systems) accepted to PAKDD 2015! (Accept Ratio: 90 out of 405, 22.2%)

  • My master theses "Domain Adaptation and User-Transfer based Personalization Applications" has been awarded as one of Shanghai Outstanding Theses (awarded by Shanghai Degree Committee)". [Certificate]

Internship experiences

  • Algorithm Engineer @ Dianping (Chinese Yelp + Groupon), 2011 - 2012
    Area of Research: Machine Learning and Data Mining
    Outcomes:  CF based personalization recommendation systems and dynamical rank strategies for recommending groupon products.

  • Algorithm Engineer @ Cyyun (Public Opinion Analysis System), 2010 - 2011
    Area of Research: Natural Language Processing
    Outcomes:  Keyword extraction, sentiment analysis and event detection modules for analyzing web-users postings.

Publication

Conference papers:

  • Investment Recommendation using Investor Opinions in Social Media.
    Wenting Tu, David W.Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu
    Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016 (recipient of SIGIR Travel Grant)

  • Discovering Author Interest Evolution in Topic Modeling.
    Min Yang, Jincheng Mei, Fei Xu, Wenting Tu, Ziyu Lu
    Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016

  • Activity Partner Recommendation.
    Wenting TuDavid W.Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu
    Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2015 

  • Time-sensitive Opinion Mining for Prediction.
    Wenting Tu, David W.Cheung, Nikos Mamoulis
    Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015

  • Improving Microblog Rtrieval from Exterior Corpus by Automatically Constructing Microblogging Corpus.
    Wenting TuDavid W.Cheung, Nikos Mamoulis
    Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015

  • Real-time Detection and Sorting of News on Microblogging Platforms
    Wenting TuDavid W.Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu
    Proceedings of the 29th Pacific Asia Conference on Language, Information and Computing (PACLIC), 2015

  • Deep Markov Neural Network for Sequential Data Classification.
    Min Yang, Wenting Tu, Wenpeng Yin, Ziyu Lu
    Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL), 2015

  • A Semi-supervised Model for Sentiment Classification.
    Min Yang, Wenting Tu, Ziyu Lu, Kam-Pui Chow
    Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2015

  • Order-sensitive and Semantic-aware Topic Modeling Microblogging Corpus.
    Min Yang, Tianyi Cui, Wenting Tu
    Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015

  • Dynamical Ensemble Learning with Model-friendly Classifiers for Domain Adaptation. 
    Wenting Tu, Shiliang Sun
    Proceedings of the 21st International Conference on Pattern Recognition (ICPR), 2012

  • Transferable Discriminative Dimensionality Reduction.
    Wenting TuShiliang Sun
    Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2012

  • Semi-supervised Feature Extraction with Local Temporal Regularization.
    Wenting TuShiliang Sun
    Proceedings of the 21st International Joint Conference on Neural Networks (IJCNN), 2011

  • Importance Weighted Extreme Energy Ratio for EEG Classification.
    Wenting TuShiliang Sun
    Proceedings of the 17th International Conference on Neural Information Processing (ICONIP), 2011

  • Spatial Filter Selection with Lasso for EEG Classification.
    Wenting TuShiliang Sun
    Proceedings of the 6th International Conference on Advanced Data Mining and Applications (ADMA), 2010

  • View construction for multi-view semi-supervised Learning.
    Shiliang Sun, Feng Jin, Wenting Tu
    Proceedings of the 8th International Symposium on Neural Networks (ISNN), 2010

Journal papers:

  • Subject Transfer Framework for EEG Classification.
    Wenting TuShiliang Sun
    Neurocomputing, 2012 (SCI/EI, 5-Year IF: 2.292)

  • Semi-supervised Feature Extraction for EEG Classification.
    Wenting TuShiliang Sun
    Pattern Analysis and Applications, 2012 (SCI/EI)

Workshop papers:

  • Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity.
    Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung
    Proceedings of the 9th RecSys Workshop on Location-Aware Recommendations (LocalRec), 2015

  • Cross-domain Representation-learning Framework with Combination of Class-separate and Domain-merge Objectives.
    Wenting TuShiliang Sun
    Proceedings of the 18th SIGKDD Workshop on Cross Domain Knowledge Discover in Web and Social Network Mining (CDKD), 2012