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 Chengxiang Zhai.

Before I come to University of Illinois, I got my master degree from Department of Computer Science and Technology, Tsinghua University.

2009 - now	Graduate student in Department of Computer Science, University of Iillinois;
2007 - 2009	Master student in State Key Laboratory of Intelligent Technology and Systems, Tsinghua University;
2003 - 2007	Undergraduate student in Department of Computer Science and Techology, Tsinghua University.

Research Interest:	My major research interest includes text mining, machine learning and information retireval.
Address:	2205 Thomas M. Siebel Center for Computer Science University of Illinois, Urbana, IL 61801-2302
Email:	wang296 AT illinois DOT edu

Award and Honor

2012 Jun, Google Ph.D. Fellowship, (U of I Graduate College News);

2012 Apr, Yahoo! Key Scientific Challenge 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).

Academic Activities

ICML 2012, Program committee member;

ECML/PKDD 2012, Program committee member.

Research

2011 Fall, 2010-2011 Research Summary;

2009 Fall, Latant Aspect Rating Analysis (Data set, Demo System );

2008 Summer, Review and opinion mining;

2008 Spring, Generative model for multi-label classification;

2007 Winter, Experiment method extraction in biology literature by mixture topic model;

2007 Summer, Forum mining and thread analysis in MSRA;

2007 Summer, TREC Genomics;

2006 Summer, BioCreAtIvE II International Challenge, IAS task rank second, IPS task rank first.

Project

2011 Fall, Joint Image Text Parsing with UCLA;

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

1. 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) (To Appear)
2. Hongning Wang, ChengXiang Zhai, Anlei Dong and Yi Chang. Content-Aware Click Modeling. The 23rd International World-Wide Web Conference (WWW'2013) (To Appear)
3. 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) (To Appear)
4. 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) (To Appear)
5. 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) (To Appear)
6. 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) (To Appear)
7. 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) (To Appear)
8. 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) (To Appear)
9. 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. (PDF)
10. 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. (PDF) (slides)
11. 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. (PDF) (slides) (Demo)
12. 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. (PDF) (slides) (codes)
13. 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. (PDF) (codes)
14. 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. (PDF)
15. 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. (PDF) (slides) (Demo)
16. Hongning Wang, Minlie Huang and Xiaoyan Zhu. Extract Interaction Detection Methods from the Biological Literature. BMC Bioinformatics 2009, 10(Suppl 1):S55. (PDF)
17. 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)
18. 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)
19. Minlie Huang, Shilin Ding, Hongning Wang and Xiaoyan Zhu. Mining Physical Protein-protein Interactions from Literature. Genome Biology 2008, 9(Suppl 2):S12. (PDF);
20. 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)