Welcome to Hongning Wang's Homepage!

I am a graduate student in the Text Information Management Group (TIMan) in Department of Computer Science of University of Illinois at Urbana-Champaign. My advisor is Professor Chengxiang Zhai.

Research Interest: Data Mining, Information Retrieval, Machine Learning and their applications.
Education:
  • 2009 - 2014
  • Ph.D. candidate in the Department of Computer Science, University of Iillinois;
  • 2007 - 2009
  • Master student in the State Key Laboratory of Intelligent Technology and Systems, Tsinghua University;
  • 2003 - 2007
  • Undergraduate student in the Department of Computer Science and Techology, Tsinghua University.
    Address: 2205 Thomas M. Siebel Center for Computer Science University of Illinois, Urbana, IL 61801
    Email: wang296 AT illinois DOT edu

    News

    I will join the Department of Computer Science at University of Virginia as an assistant professor at Fall 2014. For the perspective students, who want to pursue a Ph.D. degree in the areas of data mining and information retrieval, please contact me.

    Award and Honor

  • 2012 Jun, Google Ph.D. Fellowship, (U of I Graduate College News);
  • 2012 Apr, Yahoo! Key Scientific Challenge Award;
  • 2014 Apr, Yahoo!-DAIS Research Excellence Golden Award;
  • 2013 Jul, 35th ACM SIGIR Conference student Travel Grants;
  • 2013 Mar, Yahoo!-DAIS Research Excellence Bronze Award;
  • 2011 Oct, Yahoo!-DAIS Research Excellence Bronze Award;
  • 2011 Aug, 17th ACM SIGKDD Conference Student Travel Grants;
  • 2011 Jul, 34th ACM SIGIR Conference student Travel Grants and Donald B. Crouch Travel Grant;
  • 2011 Jun, 49th Annual Meeting of the Association for Computational Linguistics Student Volunteer;
  • 2010 Jul, 16th ACM SIGKDD Conference Student Travel Grants;
  • 2009 Jun, Best Master Thesis Award in Tsinghua University (3 out of 472);
  • 2009 Jun, Excellent Master Graduate Student Scholarship in Tsinghua University (3 out of 472);
  • 2008 Nov, UNESCO Travel Grant for IEEE International Conference on Data Mining 2008 (26 out of 47);
  • 2008 Oct, Morgan Stanley Scholarship (10 out of 1000);
  • 2007 Jun, Best Undergraduate Thesis Award in Tsinghua University (10 out of 178);
  • 2007 Jun, Excellent Undergraduate Student Scholarship in Tsinghua University (10 out of 178).
  • Invited Talks

  • The 4th workshop on Web Search Click Data (WSCD'2014), Feburary 2014. Keynote speech on "A Search-task-based Framework for Modeling User Search Behaviors" (slides).
  • Search science and anti-abuse science group, Yahoo! Labs, October 2013. Invited talk on "A Task-Based Framework for Search Log Mining and Personalization".
  • Academic Activities

  • Program committee member: ICML 2014, ECIR 2014, ICML 2013, IJCNLP 2013, ICML 2012, ECML/PKDD 2012.
  • Journal reviewer: TKDE, TOIS, Neurocomputing, BMC Bioinformatics, Information Processing & Management, IJAIT, Neural Processing Letters, World Wide Web Journal, International Journal of Machine Learning and Cybernetics.
  • Research

  • 2013 Fall, 2013-2014 Research Summary;
  • 2012 Fall, 2012-2013 Research Summary;
  • 2011 Fall, 2010-2011 Research Summary;
  • 2009 Fall, Latent Aspect Rating Analysis (Data set, Demo System, System Introduction, codes);
  • Projects

  • 2012 Summer and 2013 Summer, Task-based personalization in Web search;
  • 2011 Fall, Joint Image Text Parsing with UCLA;
  • 2011 Summer, Recency ranking in Yahoo! news search;
  • 2009 Fall, NIH project of GO annotation;
  • 2008 Summer, Review Mining System;
  • 2008 Summer, ONBIRES Systems;
  • 2008 Spring, Co-operation with TGen, U.S.;
  • 2007 Winter, Text Classification on MicroBio literatures with George Town University;
  • Publications

    [Google Scholar] [DBLP]

    1. Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ahmed Hassan and Ryen White. Modeling Action-level Satisfaction for Search Task Satisfaction Prediction. The 37th Annual ACM SIGIR Conference (SIGIR'2014). (To appear)
    2. Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang and ChengXiang Zhai. A Two-dimensional Click Model for Query Auto-completion. The 37th Annual ACM SIGIR Conference (SIGIR'2014). (To appear)
    3. Hongning Wang, Anlei Dong and Yi Chang. Joint Learning Approach from Clickthroughs, book chapter in Bo Long and Yi Chang (eds), Relevance Ranking for Vertical Search Engines, Morgan Kaufmann Publisher, 2014, p10-26.
    4. Hongning Wang, ChengXiang Zhai, Feng Liang, Anlei Dong and Yi Chang. User Modeling in Search Logs via A Nonparametric Bayesian Approach. The 7th ACM Web Search and Data Mining Conference (WSDM'2014). (PDF, slides)
    5. Yang Song, Hongning Wang and Xiaodong He. Adapting Deep RankNet for Personalized Search. The 7th ACM Web Search and Data Mining Conference (WSDM'2014). (PDF, slides)
    6. Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen White and Wei Chu. Personalized Ranking Model Adaptation for Web Search. The 36th Annual ACM SIGIR Conference (SIGIR'2013), p323-332, 2013. (PDF, slides)
    7. Hongning Wang, ChengXiang Zhai, Anlei Dong and Yi Chang. Content-Aware Click Modeling. The 23rd International World-Wide Web Conference (WWW'2013), p1365-1376, 2013. (PDF, slides, codes)
    8. Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen White and Wei Chu. Learning to Extract Cross-Session Search Tasks. The 23rd International World-Wide Web Conference (WWW'2013), p1353-1364, 2013. (PDF, slides)
    9. Yang Song, Hao Ma, Hongning Wang and Kuansan Wang. Exploring and Exploiting User Search Behaviors on Mobile and Tablet Devices to Improve Search Relevance. The 23rd International World-Wide Web Conference (WWW'2013), p1201-1212, 2013. (PDF)
    10. Ryen White, Wei Chu, Ahmed Hassan, Xiaodong He, Yang Song and Hongning Wang. Enhancing Personalized Search by Mining and Modeling Task Behavior. The 23rd International World-Wide Web Conference (WWW'2013), p1411-1420, 2013. (PDF)
    11. Chi Wang, Hongning Wang, Jialu Liu, Ming Ji, Lu Su, Yuguo Chen, Jiawei Han. On the Detectability of Node Grouping in Networks. SIAM International Conference on Data Mining (SDM'2013), p713-721, 2013.
    12. Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang and Yue Lu. Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks. SIAM International Conference on Data Mining (SDM'2013), p378-386, 2013.
    13. Mianwei Zhou, Hongning Wang and Kevin Chen-Chuan Chang. Learning to Rank from Distant Supervision: Exploiting Noisy Redundancy for Relational Entity Search. The 29th IEEE International Conference on Data Engineering (ICDE'2013)
    14. Yue Lu, Hongning Wang, ChengXiang Zhai and Dan Roth. Unsupervised Discovery of Opposing Opinion Networks From Forum Discussions. The 21st ACM International Conference on Information and Knowledge Management (CIKM'2012), p1642-1646, 2012. (PDF)
    15. Hongning Wang, Anlei Dong, Lihong Li, Yi Chang and Evgeniy Gabrilovich. Joint Relevance and Freshness Learning From Clickthroughs for News Search. The 2012 World Wide Web Conference (WWW'2012), p579-588, 2012. (PDF, slides)
    16. Hongning Wang, Yue Lu and ChengXiang Zhai. Latent Aspect Rating Analysis without Aspect Keyword Supervision. The 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2011), P618-626, 2011. (PDF, slides, Demo)
    17. Hongning Wang, Chi Wang, ChengXiang Zhai and Jiawei Han. Learning Online Discussion Structures by Conditional Random Fields. The 34th Annual International ACM SIGIR Conference (SIGIR'2011), P435-444, 2011. (PDF, slides, codes)
    18. Hongning Wang, Duo Zhang and ChengXiang Zhai. Structural Topic Model for Latent Topical Structure Analysis. The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL HTL'2011), P1526-1535, 2011. (PDF, codes)
    19. Yue Lu, Huizhong Duan, Hongning Wang and ChengXiang Zhai. Exploiting Structured Ontology to Organize Scattered Online Opinions. The 23rd International Conference on Computational Linguistics (COLING'2010) P734--742, 2010. (PDF)
    20. Hongning Wang, Yue Lu and Chengxiang Zhai. Latent Aspect Rating Analysis on Review Text Data: A Rating Regression Approach. The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2010), p783-792, 2010. (PDF, slides, Demo, codes)
    21. Hongning Wang, Minlie Huang and Xiaoyan Zhu. Extract Interaction Detection Methods from the Biological Literature. BMC Bioinformatics 2009, 10(Suppl 1):S55. (PDF)
    22. Hongning Wang, Minlie Huang and Xiaoyan Zhu. A Generative Probabilistic Model for Multi-Label Classification. In Proceedings of the IEEE 8th International Conference on Data Mining (IEEE ICDM 2008), p628-637, 2008. (PDF)
    23. Hongning Wang, Minlie Huang, Shilin Ding and Xiaoyan Zhu. Exploiting and Integrating Rich Features for Biological Literature Classification. BMC Bioinformatics. 2008; 9(Suppl 3): S4. (PDF)
    24. Minlie Huang, Shilin Ding, Hongning Wang and Xiaoyan Zhu. Mining Physical Protein-protein Interactions from Literature. Genome Biology 2008, 9(Suppl 2):S12. (PDF);
    25. Shilin Ding, Minlie Huang, Hongning Wang and Xiaoyan Zhu. Profile-feature Based Protein Interaction Extraction from Full-Text Articles. In Proceedings of the 7th International Workshop on Data Mining in Bioinformatics, in SIGKDD'07, Aug 12, 2007, San Jose. (PDF)
    Department of Computer Science
    University of Illinois at Urbana-Champaign
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