machine learning applications, information retrieval, web science, and social network mining

Ph.D, Pennsylvania State University, 2005
B.S, Tsinghua University, 2000

2005-2007: University of Kansas, Tenure-Track Assistant Professor
2006-2010: Yahoo! Labs, Manager of Research Engineering
2010-present: Shanghai Jiao Tong University, Professor

Best 10% paper, IEEE VCIP 2016
Best paper award, IEEE CVPR 2005 Workshop on Computer Vision Methods for Bioinformatics.
Best Paper Award, Yahoo Search Sciences Quarterly Awards, 2009

J. Yao, Y. Wang, Y. Zhang, J. Sun, J. Zhou, "Joint Latent Dirichlet Allocation for Social Tags", IEEE Transactions on Multimedia, accepted.
W. Cai, Y. Zhang, Y. Zhang, S. Zhou, W. Wang, Z. Chen, C. Ding, "Active Learning for Classification with Maximum Model Change", ACM Transactions on Information Systems (TOIS), accepted.
W. Wang, Y. Zhang, J. Hu, "Distance Metric Learning with Eigenvalue Fine Tuning", IJCNN 2017.
Y. Zhang, Y. Wang, S. Zhou, W. Cai, Y. Zhang, "From Theory to Practice: Efficient Active Cost-sensitive Classification with Expected Error Reduction", SDM 2017.
Z. Xu, S. Huang, Y. Zhang, D. Tao, "Webly-Supervised Fine-Grained Visual Categorization via Deep Domain Adaptation", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), in press.
W. Cai, M. Zhang, Y. Zhang, "Batch Mode Active Learning for Regression with Expected Model Change", IEEE Transactions on Neural Networks and Learning Systems, 28(7):1668-1681, 2017.
Z. Xu, D. Tao, S. Huang, Y. Zhang, "Friend or Foe: Fine-Grained Categorization with Weak Supervision", IEEE Transactions on Image Processing, 26(1):135-146, 2017.
Z. Tan, Y. Wang, Y. Zhang, J. Zhou, "A Novel Time Series Approach for predicting the long-term popularity of Online Videos", IEEE Trans. on Broadcasting, 62(2):436-445, 2016.
Z. Xu, Z. Hong, Y. Zhang, J. Wu, A. C. Tsoi, D. Tao, "Multinomial Latent Logistic Regression for Image Understanding", IEEE Transactions on Image Processing, 25(2):973-987, 2016.
H. Zheng, J. Yao, Y. Zhang, "Describing Geographical Characteristics with Social Images", MMM 2017, pp. 115-126,.
J. Yao, Y. Zhang, I. Tsang, J. Sun, "Discovering User Interests from Social Images", MMM 2017, pp.160-172.
Y. Xiong, N. Liu, Z. Xu, Y. Zhang, "A Parameter Partial-sharing CNN Architecture for Cross-Domain Clothing Retrieval", VCIP 2016.
J. Hou, Y. Zhang, X. Gu, "Synergy and Antagonism in Online Advertising", BDCAT 2016.
S. Huang, Z. Xu, D. Tao, Y. Zhang, "Part-Stacked CNN for Fine-Grained Visual Categorization", CVPR 2016.
B. Long, J. Bian, O. Chapelle, Y. Zhang, Y. Inagakiy, Y. Chang, "Active Learning for Ranking through Expected Loss Optimization", IEEE Transactions on Knowledge and Data Engineering, 27(5):1180-1191, 2015.
Y. Zhang, W. Chen, H. Zha, X. Gu, "A Time-Topic Coupled LDA Model for IPTV User Behaviors", IEEE Trans. on Broadcasting, 61(1):56-65, 2015.
W. Cai, M. Zhang, Y. Zhang, "Active learning for ranking with sample density", Information Retrieval Journal, 18(2):123-144, 2015.
X. Chen, J. Yao, Y. Zhang, "Online Learning Algorithm for Collective LDA", ICMLA 2015.
X. Zhe, S. Huang, Y. Zhang, D. Tao, "Augmenting Strong Supervision Using Web Data for Fine-grained Categorization", ICCV 2015.
J. Yao, Y. Zhang, Z. Xu, J. Sun, J. Zhou, X. Gu, "Joint Latent Dirichlet Allocation for Non-IID Social Tags", ICME2015: 1-6.
Y. Zhang, Y. Wei, J. Ren, "Multi-Touch Attribution in Online Advertising with Survival Theory", ICDM2014, pp. 687-696.
W. Wang, W. Cai, Y. Zhang, "Stability-based Stopping Criterion for Active Learning", ICDM2014, pp. 1019-1024.
W. Cai, Y. Zhang, S. Zhou, W. Wang, C. Ding, X. Gu, "Active Learning for Support Vector Machines with Maximum Model Change", ECML/PKDD2014, pp. 211-226.
Z. Xu, D. Tao, Y. Zhang, J. Wu, A. Tsoi, "Architectural Style Classification using Multinomial Latent Logistic Regression", ECCV2014, pp. 600-615.
M. Zhang, C. Ding, Y. Zhang, F. Nie, "Feature Selection at the Discrete Limit", AAAI2014, pp. 1355-1361.
J. Yan, Y. Tian, H. Zha, X. Yang, Y. Zhang, S. Chu, "Joint optimization for consistent multiple graph matching", in Proc. of ICCV 2013, pp. 4321-4328.
W. Cai, Y. Zhang, J. Zhou, "Maximizing Expected Model Change for Active Learning in Regression", in Proc. of ICDM 2013, pp. 51-60.