B.S. ​Tsinghua University, China, 2007M.S. ​​Tsinghua University, China, 2009Ph.D. ​University of Illinois at Urbana and Champaign, 2014


Research interests include:

Machine Learning, Text Mining, Information Retrieval, Computational Statistics and Simulation/Statistical Modeling, Stochastic Modeling



Hongning Wang received his Ph.D. from the Department of Computer Science at University of Illinois at Champaign-Urbana in 2014, and joined University of Virginia as Assistant Professor since then. He is the recipient of National Science Foundation CAREER Award, 2014 Yahoo ACE (Academic Career Enhancement) Award, Google 2012 PhD Fellowship in Search and Information Retrieval, and 2012 Yahoo! Key Scientific Challenges in Web Information Management. He has served on program committees for several major conferences such as WWW, WSDM, ICML, ECML/PKDD, CIKM, and ECIR, and reviewed for multiple journals, including IEEE TKDE, ACM TOIS, Neurocomputing and BMC Bioinformatics.


  • NSF CAREER Award 2016
  • Yahoo Academic Career Enhancement Award 2014

Research Interests

  • Machine Learning, Text Mining, Information Retrieval
  • Computational Statistics and Simulation/Statistical Modeling
  • Stochastic Modeling
  • Machine Learning

Selected Publications

  • "Contextual Bandits in a Collaborative Environment." In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, pp. 529-538. ACM, 2016. Qingyun Wu, Huazheng Wang, Quanquan Gu, and Hongning Wang.
  • "User modeling in search logs via a nonparametric bayesian approach." In Proceedings of the 7th ACM international conference on Web search and data mining, pp. 203-212. ACM, 2014. Hongning Wang, ChengXiang Zhai, Feng Liang, Anlei Dong, and Yi Chang.
  • Learning to Extract Cross-Session Search Tasks. The 23rd International World-Wide Web Conference, p1353-1364, 2013. Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen White and Wei Chu.
  • Personalized Ranking Model Adaptation for Web Search. The 36th Annual ACM SIGIR Conference, p323-332, 2013. Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen White and Wei Chu.
  • Latent Aspect Rating Analysis on Review Text Data: A Rating Regression Approach. The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, p783-792, 2010. Hongning Wang, Yue Lu and Chengxiang Zhai.

Featured Grants & Projects


    Human-Centric Knowledge Discovery and Decision Optimization

  • III: Small

    Collaborative Learning with Incomplete and Noisy Knowledge

  • CPS: TTP Option: Breakthrough:

    Collaborative Sensing: An Approach for Immediately Scalable Sensing in Buildings