王 征   ( Wang Zheng ) 

 Email:

Room 2035D, Palmer Commons Bldg.

100 Washtenaw Avenue, Ann Arbor, MI 48109-2218


Vita

2015 ~ , Research Investigator at The Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, USA.


2011 ~  2015, Postdoctoral Fellow at The Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, USA. (Transfer from The Biodesign Institute & The Computer Science Department, Arizona State University in 2014) Supervisor: Prof. Jieping Ye.


2004 ~ 2011, PhD. at The Department of Automation,  Tsinghua University, China. Supervisor: Prof. Changshui Zhang

 

2000 ~ 2004, BEng. at The Department of Automatic Measurement and Control, Harbin Institute of Technology, China


Research Interests

 

Active Learning, Transfer Learning, Sparse Learning,

Big Data and Efficient Learning Algorithms, Matrix Completion and Recommendation,

Computational Learning Theory, Statistical Learning Theory.

Machine Learning Application in Social Computing


Publications

Conference Papers:

Zheng WangPrithwish Chakraborty, Sumiko R Mekaru, John S Brownstein, Jieping Ye and Naren Ramakrishnan, Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count PredictionThe 21st ACM SIGKDD Conference On Knowledge Discovery and Data Mining (KDD), Sydney, Australia, 2015.


Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu and Jieping Ye, Rank-One Matrix Pursuit for Matrix CompletionThe 31th International Conference on Machine Learning (ICML), Beijing, China, 2014. 


Nyunsu Kim, Sukru Tikves, Zheng Wang, Jonathan Githens-Mazer, Hasan Davulcu. MultiScale Modeling of Islamic Organizations in UK. The 5th ASE/IEEE International Conference on Social Computing (SocialCom), Washington D.C., USA, 2013. [Oral Presentation] (Acceptance rate = 9.9%) (Best Paper Award)


Zheng Wang, Jieping Ye, Querying Discriminative and Representative Samples for Batch Mode Active LearningThe 19th ACM SIGKDD Conference On Knowledge Discovery and Data Mining (KDD), Chicago, USA, 2013.  [Oral Presentation] (Best Research Paper Award Runner-up) 


Rita ChattopadhyayZheng Wang, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye, Batch Mode Active Sampling based on Marginal Probability Distribution MatchingThe 18th ACM SIGKDD Conference On Knowledge Discovery and Data Mining (KDD), Beijing, China, 2012.  [Oral Presentation] (Best Research Paper Nomination) 


Zheng Wang, Yangqiu Song, Changshui Zhang, Homotopy Regularization for Boosting, The 10th IEEE International Conference on Date Mining (ICDM), Sydney, Australia, 2010. [Short Presentation] 


Jiawei Lv, Jianwen Zhang, Fei Wang, Zheng WangChangshui Zhang, Compressed Learning with Regular Concept, The 21st International Conference on Algorithmic Learning Theory (ALT), Canberra, Australia, 2010. [Oral Presentation]


Zheng Wang, Jiashi Feng, Shuicheng Yan, Changshui Zhang, Learning to Rank Tags, The ACM Conference on Image and Video Retrieval (CIVR), Xi'an, China, 2010. [Oral Presentation] 


Zheng Wang, Yangqiu Song, Changshui Zhang, Knowledge Transfer on Hybrid Graph, The 21st International Joint Conference on Artificial Intelligence (IJCAI), Pasadena, California, USA, 2009. [Oral Presentation] 


Zheng Wang, Yangqiu Song, Changshui Zhang, Efficient Active Learning with Boosting, The 9th  SIAM International Conference on Data Mining (SDM), Sparks, Nevada, USA, 2009. [Oral Presentation]


Zheng Wang, Yangqiu Song, Changshui Zhang, Transferred Dimensionality Reduction, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Antwerp, Belgium, 2008.  [Oral Presentation]


Yangqing Jia, Zheng Wang, Changshui Zhang, Distortion-Free Nonlinear Dimensionality Reduction, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Antwerp, Belgium, 2008.  [Oral Presentation]


Journal Papers:

Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu and Jieping Ye, Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix CompletionSIAM Journal on Scientific Computing (SISC), Vol. 37, No. 1, pp. A488–A514, 2015.


Zheng Wang, Jieping Ye, Querying Discriminative and Representative Samples for Batch Mode Active LearningACM Transactions on Knowledge Discovery from Data (TKDD), 9 (3), 17, 2015. (Invited as the best of KDD'13)


Nyunsu Kim, Sukru Tikves, Zheng Wang, Hasan Davulcu, Jonathan Githens-Mazer. MultiScale Modeling of Radical and Counter-Radical Islamic OrganizationsASE HUMAN Journal, 2 (3), pp. 182-194, 2013. (Invited as SocialCom'13 Best Paper)


Rita ChattopadhyayZheng Wang, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye, Batch Mode Active Sampling based on Marginal Probability Distribution Matching, ACM Transactions on Knowledge Discovery from Data (TKDD), 7 (3), 13, 2013. (Invited as the best of KDD'12)


Zheng Wang, Shuicheng Yan, Changshui Zhang, Active Learning with Adaptive Regularization, Pattern Recognition, Volume 44, Issues 10-11, pp. 2375-2383, 2011.


Services

      Journal Reviewer: 
      Journal of Machine Learning Research (JMLR)
      Machine Learning (MLJ)
      IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
      IEEE Transactions on Knowledge and Data Engineering (TKDE)
      IEEE Transactions on Image Processing (TIP)
      ACM Transactions on Knowledge Discovery from Data (TKDD)
      The VLDB Journal (VLDBJ)
      Computational Statistics and Data Analysis (CSDA)
      Neural Networks
      Pattern Recognition (PR)
      Pattern Recognition Letters (PRL)
      Neurocomputing
  
      Program Committee Member:
      The 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017)
      The 17th SIAM International Conference on Data Mining (SDM 2017)
      The 30th Annual Conference on Neural Information Processing Systems (NIPS 2016)
      The 16th SIAM International Conference on Data Mining (SDM 2016)
      The 8th Asian Conference on Machine Learning (ACML 2016)
      The 29th Annual Conference on Neural Information Processing Systems (NIPS 2015)
      The 15th SIAM International Conference on Data Mining (SDM 2015)
      The 25th International Conference on Artificial Intelligence (IJCAI 2015)
      The 7th Asian Conference on Machine Learning (ACML 2015)
      The 6th Asian Conference on Machine Learning (ACML 2014)

Friends

 

Jingyu CuiFeiping Nie, Yangqiu Song, Shiliang Sun, Fei Wang, Shijun WangLiang Xiong, Dan ZhangGang Cheng, Jin Gu, Yangqing Jia, Shuicheng Yan, Xiao-Tong Yuan, Ju Sun, Jiashi Feng

 

 Misc

 

Big Eye Lab (My Previous Lab), THU Sports Team (My Team), Math