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Rong Jin's Photo Nov. 2003    Rong Jin
Professor
Department of Computer Science and Engineering, Michigan State University
Office Address: EB 1124    Email: rongjin_at_cse.msu.edu    Office Phone: +1 (517) 353-7284

Ph.D., Carnegie Mellon University (2003)


Research        
Statistical learning theory for big data analysis and its application to various domains including web document retrieval, content-based image retrieval, gene regulatory network reconstruction, neuron data analysis, and visual object recognition. Here is my latest Curriculum Vitae and Google Scholar.
Research Projects       
Research Group        
Current PhD students: Qi Qian, Zheyun Feng, Jinfeng Yi, Mehrdad Mahdavi, and Fengjie Li

Current Postdoc: Lijun Zhang

Former PhD students and Postdocs

  • Tianbao Yan (PhD 2012), Learning from Connected and Noisy Data, NEC Research Lab America
  • Lei Wu (Postdoc, 2011), Large-scale Image Retrieval, GE Global Research Lab
  • Wei Tong (PhD, 2010), Dimensionality Reduction for Non-Vector Data Representation, GM Research Lab
  • Hamed Valizadegan (PhD, 2010), Boosting and Online Learning for Classification and Ranking, NASA Ames Research Center
  • Yang Zhou (PhD, 2010), Learning with Structures, LinkedIn
  • Yi Liu (PhD, 2008), Semi-Supervised Learning wit Side Information: Graph-based Approaches, Google Research
  • Feng Kang (PhD, 2007), Automatic Image Annotation, Yahoo!
  • Wu Ming (PhD, 2007), Label Propagation for Classification and Ranking, Microsoft
Selected Services        
Associate Editor:  IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Knowledge Discovery from Data, and ACM Transactions on Intelligent Systems and Technology

Area Chair: NIPS 2012, SIGIR 2009, ACML 2009

Senior Program Member: SDM 2014, KDD 2013, AAAI 2012, CIKM 2012, IJCAI 2011

Program committee member: NIPS (2012, 2011, 2010, 2009), ICML (2013, 2012, 2011, 2010, 2008, 2007), SIGIR (2012, 2011, 2010, 2008, 2007, 2006), KDD (2012, 2011, 2010, 2008, 2006), WWW (2010, 2008), AAAI (2008, 2005), SDM 2009, CIKM (2010, 2008, 2007, 2005, 2004), PAKDD (2007, 2006, 2005, 2004), NAACL-HLT 2007, COLING-ACL 2006, HLT/EMNLP 2005

Recent Publications (More)
--- Journal Papers ---
  • Regret Bounded by Variation for Online Convex Optimization
    T. Yang, M. Mahdavi, R. Jin and S.H. Zhu, Machine Learning, 2013
  • Online Multiple Kernel Classification
    S. Hoi, R. Jin, P. Zhao, and T. Yang, Machine Learning, 90(2): 289-316, 2013
  • Improved Bounds for the Nystrom Method With Application to Kernel Classification
    R. Jin, T. Yang, M. Mahdavi, Y.-F. Li, and Z.-H. Zhou, IEEE Transactions on Information Theory, 59(10): 6939-6949, 2013
  • Multiple Kernel Learning for Visual Object Recognition: A Review
    S. S. Bucak, R. Jin, and A. K. Jain, IEEE Trans. Pattern Anal. Mach. Intell., 2013
  • Online Multiple Kernel Ranking for Visual Similarity Search
    X. Hao, P. Zhao, S. Hoi, and R. Jin, IEEE Trans. Pattern Anal. Mach. Intell., 2013
  • Tag Completion for Image Retrieval
    L. Wu, R. Jin, and A. K. Jain, IEEE Trans. Pattern Anal. Mach. Intell., 35(3): 716-727, 2013
  • Tattoo Image Matching and Retrieval
    A. K. Jain, R. Jin, and J.-E. Lee, IEEE Computer 45(5): 93-96, 2012
  • Image Retrieval in Forensics: Tattoo Image Database Application
    J. E. Lee, R. Jin, A. K. Jain, and W. Tong,  IEEE Multimedia 19(1): 40-49, 2012
  • Learning Bregman Distance Functions for Semi-Supervised Clustering
    L. Wu, S. C. H. Hoi, R. Jin, J. Zhu, and N. Yu,  IEEE Trans. Knowl. Data Eng. 24(3): 478-491, 2012
--- Conference Papers ---
  • Inferring User's Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach
    J. Yi, R. Jin, S. Jain, and A. K. Jain, Conference on Human Computation & Crowdsourcing (HCOMP), 2013
  • Passive Learning with Target Risk
    M. Mahdavi and R. Jin, Conference of Learning Theory (COLT), 2013
  • Recovering Optimal Solution by Dual Random Projection
    L. Zhang, M. Mahdavi, R. Jin, T. Yang, and S.H. Zhu, Conference of Learning Theory (COLT), 2013
  • Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion
    J. Yi, L. Zhang, R. Jin, Q. Qian, and A. Jain, International Conference on Machine Learning (ICML), 2013
  • O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions
    L. Zhang, T. Yang, R. Jin, and X. He, International Conference on Machine Learning (ICML), 2013
  • One-Pass AUC Optimization
    W. Gao, R. Jin, S. H. Zhu, and Z.-H. Zhou, International Conference on Machine Learning (ICML), 2013
  • Online Kernel Learning with a Near Optimal Sparsity Bound
    L. Zhang, J. Yi, R. Jin, M. Lin, and X. He, International Conference on Machine Learning (ICML), 2013
  • Stochastic Convex Optimization with Multiple Objectives
    M. Mahdavi, T. Yang, and R. Jin, Advance in Neural Information Processing Systems (NIPS), 2013
  • Speedup Matrix Completion with Side Information: Application to Multi-Label Learning
    M. Xu, R. Jin, and Z.-H. Zhou,  Advance in Neural Information Processing Systems (NIPS), 2013
  • Mixed Optimization for Smooth Functions
    M. Mahdavi, L. Zhang, and R. Jin,  Advance in Neural Information Processing Systems (NIPS), 2013
  • Linear Convergence with Condition Number Independent Access of Full Gradients
    L. Zhang, M. Mahdavi, and R. Jin,  Advance in Neural Information Processing Systems (NIPS), 2013
  • Multiple Kernel Learning from Noisy Labels by Stochastic Programming
    T. Yang and R. Jin,  International Conference on Machine Learning (ICML), 2012
  • A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound
    T. Yang, M. Ji, and R. Jin,  International Conference on Machine Learning (ICML), 2012
  • Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning
    S. C. H. Hoi and R. Jin,  International Conference on Machine Learning (ICML), 2012
  • Efficient Online Learning for Large-scale Sparse Kernel Logistic Regression
    L. Zhang, R. Jin, J. Bu, C. Chen, and X. He,  AAAI Conference on Artificial Intelligence (AAAI), 2012
  • Online Kernel Selection: Algorithms and Evaluations
    T. Yang, R. Jin, and M. Mahdavi,  AAAI Conference on Artificial Intelligence (AAAI), 2012
  • Random Projection with Filtering for Nearly Duplicate Search
    T. Y. Lin, R. Jin, D. Cai, and X. He,  AAAI Conference on Artificial Intelligence (AAAI), 2012
  • Online Optimization with Gradual Variations
    T. Yang, M. Mahdavi, R. Jin, and S. Zhu,  Conference of Learning Theory (COLT), 2012
  • Nystrom Method vs Random Fourier Features: A Theoretical and Empirical Comparison
    T. Yang, Y. Li, M. Mahdavi, R. Jin,  Advance in Neural Information Processing Systems (NIPS), 2012
  • Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning
    J. Yi, R. Jin, A. Jain, and S. Jain,  Advance in Neural Information Processing Systems (NIPS), 2012
  • Stochastic Gradient Descent with Only One Projection
    M. Mahdavi, T. Yang, R. Jin, S. Zhu,  Advance in Neural Information Processing Systems (NIPS), 2012
  • Boosting Multi-Kernel Locality-Sensitive Hashing for Scalable Image Retrieval
    S. H. C. Hoi, R. Jin, H. Xia, and P.C. Wu,  ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2012), 2012
  • Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach
    J. Yi, R. Jin, A. K. Jain, and S. Jain,  Proceedings of the 4th Human Computation Workshop in junction with AAAI, 2012
  • Efficient Kernel Clustering Using Random Fourier Features
    R. Chitta, R. Jin and A. K. Jain,  International Conference on Data Mining (ICDM), 2012
  • Robust Ensemble Clustering by Matrix Completion
    J. Yi, T. Yang, R. Jin, A. K. Jain, and M. Mahdavi,  International Conference on Data Mining (ICDM), 2012

Teaching (Complete list)
Spring 2012: CSE847 Machine Learning

Fall 2013: CSE484 Information Retrieval


Contact Info
  • Email:     rongjin_at_cse.msu.edu
  • URL:       http://www.cse.msu.edu/~rongjin
  • Office Phone:       +1 (517) 353-7284
  • Fax:       +1 (517) 432-1061
  • Office Address:       EB 1124      (MSU Campus Map)
  • Mailing Address:
             Rong Jin
             Department of Computer Science and Engineering
             3115 Engineering Building
             Michigan State University
             East Lansing, MI 48824
             U.S.A

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    Copyright By Rong Jin CSE,MSU