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Dr Chris H Q Ding

[Dr Chris H Q Ding]

Professor, Computer Science and Engineering
Last Updated: June 14, 2021
about me

Research Interests

Research Interests
Machine learning, data mining, Web Search, Information Retrieval, Bioinformatics, systems biology, protein networks, biomarker detection, Parallel & distributed algorithms, high performance computing, scientific computing

Teaching Interests

Teaching Interests
Data mining, Machine learning, Computer algorithms, Data Analysis, Discrete Structures, Computer Architectures

Biography

Biography

Chris Ding is a professor at Computer Science and Engineering Department, University of Texas at Arlington. He earned a Ph.D. from Columbia University, and previously worked at California Institute of Technology, Jet Propulsion Laboratory, and Lawrence Berkeley National Laboratory. His area of research are data mining, machine learning, web link analysis, computational biology and high performance computing. Dr. Ding is a leading scholar in using matrix models to solve machine learning problems. In 2018 Guide2Research ranking of Top 1000 scientists of Computer Science and Electronics, Dr. Ding is ranked 265 in the US and 399 world wide. Dr. Ding has published about 200 research articles; a majority of them appeared in top-tier conferences and journals. These publications have been cited 35587 times with H-index 75. His research publications help UT Arlington to achieve top ranking in machine learning and data mining.

Education

Education

    • 1987 PhD in Computer Science
      Columbia University
    • 1984 MPhil in Computer Science
      Columbia University
    • 1983 MA in Computer Science
      Columbia University
    • 1981 BS in Computer Science
      Anhui University

Appointments

Appointments

    • Sept 1996 to July 2007 Staff Computer Scientist
      Lawrence Berkeley National Laboratory
    • May 1993 to Aug 1996 Member of Technical Staff
      Jet Propulsion Laboratory/NASA
    • July 1987 to Apr 1993 Postdoc & Research Staff
      California Institute of Technology

Memberships

    • Jan 2000 to Jan 2020 IEEE

Awards and Honors

    • Jan  2011 Best Student Paper Runner-Up Award sponsored by European Machine Learning Con- ference and Principals and Practice of Knowledge Discovery in Machine Learning
    • Jan  2010 Best Student Paper Runner-Up Award sponsored by IEEE International Conference on Data Mining
    • Jan  2006 Best Application Paper Award sponsored by 5th International Conference on Machine Learning and Applications (ICMLA’06)
    • Jan  2002 Outstanding Performance Award sponsored by Lawrence Berkeley Nat’l Lab, 2002 on Computational Algorithms and Technology Development on Climate Models.
    • Jan  1998 Outstanding Performance Award sponsored by Lawrence Berkeley Nat’l Lab, 1998 on Procurement of NERSC Supercomputer
    • Jan  1996 Best Performance Paper Award sponsored by 1996 Annual Conference of Intel Supercomputer User Group (ISUG’96)
    • Jan  1996 NASA Group Achievement Award sponsored by Jet Propulsion Lab, NASA
    • Sep  1981 Pfister Fellowship sponsored by Columbia University

Support & Funding

Support & Funding

This data is entered manually by the author of the profile and may duplicate data in the Sponsored Projects section.
    • Nov 2018 to Aug 2020 BIGDATA: Collaborative Research: IA: Big Imaging-Omics Data Mining Framework for Precision Medicine sponsored by  -  $237320
      (Funded)
    • Sept 2016 to Aug 2020 BIGDATA: Collaborative Research: IA: Big Imaging-Omics Data Mining Framework for Precision Medicine sponsored by  -  $1321556
      (Funded)
    • Sept 2015 to Apr 2020 Imaging Genomics Based Brain Disease Prediction sponsored by  -  $1215223
      (Funded)
    • July 2014 to June 2017 ABI Innovation: A New Automated Data Integration, Annotations, and Interaction Network Inference System for Analyzing Drosophila Gene Expression sponsored by  -  $610392
      (Funded)
    • Sept 2009 to Aug 2014 Collaborative Research: Non-negative Matrix Factorizations for Data Mining: Foundations, Capabilities, and Applications sponsored by  -  $200031
      (Funded)
    • Aug 2009 to July 2014 New Theroetical Foundations of Tensor Applications: Clustering, Error Analysis, Global Convergence, and Robust Formulations sponsored by  -  $266833
      (Funded)
    • Sept 2009 to Aug 2010 Collaborative Research: Cross-Domain Knowledge Transformation via Matrix Decompositions sponsored by  -  $53855
      (Funded)
    • Oct 2008 to Sept 2012 Collaborative Research: Matrix-Model Machine Learning: unifying machine Learning and Scientific Computing sponsored by  -  $115983
      (Funded)
    • Sept 2008 to Aug 2009 SGER: Collaborative Research: Non-negative Matrix Factorization for Data Mining: Algorithms & Applications sponsored by  -  $56000
      Chris Ding (Funded)

Publications


      In Process
      • Book
        Spectral Clustering, Ordering and Ranking; Statistical Learning with Matrix
        [Ding, Chris H Q, ]. In Preparation; Not Yet Submitted.

      2018
      • Book Chapter
        Dimension Reduction Techniques for Clustering.
        [Ding, Chris]. Encyclopedia of Database Systems (2nd ed.) . "Encyclopedia of Database Systems (2nd ed.) ".

      2013
      • Book Chapter
        Nonnegative Matrix Factorizations for Clustering: A Survey
        [Li, Tao, Ding, Chris]. Data Clustering: Algorithms and Applications 2013. 149-176.

      2019
      • Journal Article
        Harmonic Mean Linear Discriminant Analysis.
        [Zheng, Shuai , Ding, Chris , Nie, Feiping ]. IEEE Trans. Knowl. Data Eng. . 31, 1520-1531 .
      • Journal Article
        Extended adaptive Lasso for multi-class and multi-label feature selection.
        [Chen, Sibao , Zhang, Yu-Mei , Ding, Chris , Zhang, Jian]. 173, 28-36. " Knowl.-Based Syst. ".
      • Journal Article
        Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition
        [Jiang, Bo, Ding, Chris, Tang, Jin, Luo, Bin]. IEEE Trans. Cybernetics . 49, 1417-1426.
      • Journal Article
        R1 -2DPCA and Face Recognition
        [Gao, Quanxue , Xu, Sai, Chen, Fang, Ding, Chris]. IEEE Trans. Cybernetics. 49, 1212-1223.
      • Journal Article
        Sparse classification using Group Matching Pursuit.
        [Zheng, Shuai, Ding, Chris]. Neurocomputing. 338, 83-91 .

      2018
      • Journal Article
        Saliency detection via a multi-layer graph based diffusion model
        [Jiang, Bo, He, Zhouqin, Ding, Chris H Q, Luo, Bin]. Neurocomputing. 314, 215 - 223. "Elsevier".
      • Journal Article
        A Nonnegative Locally Linear KNN model for image recognition.
        [Chen, Sibao, Xu, Yu-Lan , Ding, Chris , Luo, Bin]. Pattern Recognition . 83, 78-90 .
      • Journal Article
        Linear Regression Based Projections for Dimensionality Reduction
        [Chen, Si-Bao, Ding, Chris H Q, Luo, Bin]. Information Sciences. 467, 74-86. "Elsevier".
      • Journal Article
        Robust data representation using locally linear embedding guided PCA
        [Jiang, Bo, Ding, Chris H Q, Luo, Bin]. Neurocomputing. 275, 523--532.
      • Journal Article
        A discriminative multi-class feature selection method via weighted L21-norm and Extended Elastic Net
        [Chen, Sibao, Zhang, Ying, Ding, Chris, Zhou, Zhili]. Neurocomputing. 275, 1140--1149.

      2017
      • Journal Article
        Active Learning for Classification with Maximum Model Change
        [Cai, Wenbin, Zhang, Yexun, Zhang, Ya, Zhou, Siyuan, Wang, Wenquan, Chen, Zhuoxiang, Ding, Chris H Q]. ACM Transactions on Information Systems : A Publication of the Association for Computing Machinery. 36(2), 1--28. DOI: http://dx.doi.org/10.1145/3086820
        http://doi.acm.org/10.1145/3086820

      2015
      2014
      • Journal Article
        A framework for hierarchical ensemble clustering
        [Zheng, Li, Li, Tao, Ding, Chris H Q]. ACM Transactions on Knowledge Discovery from Data (TKDD). 9(2), 9. "ACM".

      2013
      • Journal Article
        Toward structural sparsity: an explicit ℓ2/ℓ0 approach
        [Luo, Dijun , Ding, Chris, Huang, Heng]. Knowl. Inf. Syst.. 36(2), 411-438 . "Array".
      • Journal Article
        Robust manifold nonnegative matrix factorization
        [Huang, Jin, Nie, Feiping, Huang, Heng, Ding, Chris H Q]. ACM Transactions on Knowledge Discovery from Data (TKDD). 8(3), 11:1 - 11:21. "ACM".
      • Journal Article
        Function--function correlated multi-label protein function prediction over interaction networks
        [Wang, Hua, Huang, Heng, Ding, Chris H Q]. Journal of Computational Biology. 20(4), 322--343.
      • Journal Article
        Non-negative Tri-factor tensor decomposition with applications. Knowl. Inf. Syst. 34(2): 243-265 (2013)
        [Zhang, Zhongyuan , Li, Tao , Ding, Chris]. Knowl. Inf. Syst. . 34(2), 243-265.
      • Journal Article
        Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization
        [Wang, Hua , Huang, Heng , Ding, Chris, Nie, Feiping]. Journal of Computational Biology . 20(4), 344-358 .

      2019
      • Conference Proceeding
        Robust Flexible Feature Selection via Exclusive L21 Regularization
        [Ming, Di, Ding, Chris]. 2019, 3158 - 3164. "Proceedings of International Joint conference on Artificial Intelligence, IJCAI 2019".
      • Conference Proceeding
        Pyramid Attention Dense Network for Image Super-Resolution.
        [Chen, Sibao, Hu, Chao , Luo, Bin , Ding, Chris ]. "International Joint Conference on Neural Networks".
      • Conference Proceeding
        A Probabilistic Derivation of LASSO and L12-Norm Feature Selections
        [Ming, Di, Ding, Chris, Nie, Feiping]. 2019, 4586-4593. "The 33rd AAAI Conference on Artificial Intelligence, AAAI 2019".

      2018
      • Conference Proceeding
        Transductive Semi-Supervised Deep Learning Using Min-Max Features
        [Shi, Weiwei , Gong, Yihong, Ding, Chris]. 311-327. "ECCV 2018".
      • Conference Proceeding
        Exercise-Enhanced Sequential Modeling for Student Performance Prediction
        Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence 2018
        [Su, Yu, Liu, Qingwen, Liu, Qi, Huang, Zhenya, Yin, Yu, Chen, Enhong, Ding, Chris H Q]. "AAAI 2018".

      2017
      • Conference Proceeding
        Nonnegative Orthogonal Graph Matching
        Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA.
        [Jiang, Bo, Tang, Jin, Ding, Chris H Q, Luo, Bin]. 4089--4095. "AAAI Press".
        http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14405
      • Conference Proceeding
        Rank Ordering Constraints Elimination with Application for Kernel Learning
        Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA.
        [Xie, Ying, Ding, Chris H Q, Gong, Yihong, Wu, Zongze]. 2775--2781. "AAAI Press".
        http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14307

      2016
      • Conference Proceeding
        Robust Out-of-Sample Data Recovery
        Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016
        [Jiang, Bo, Ding, Chris H Q, Luo, Bin, Kambhampati, Subbarao]. 1634--1639. "IJCAI/AAAI Press".
        http://www.ijcai.org/Abstract/16/234

      2015
      • Conference Proceeding
        A Closed Form Solution to Multi-View Low-Rank Regression
        Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA.
        [Zheng, Shuai, Cai, Xiao, Ding, Chris H Q, Nie, Feiping, Huang, Heng]. 1973--1979. "AAAI Press".
        http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9495
      • Conference Proceeding
        A Local Sparse Model for Matching Problem
        Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA.
        [Jiang, Bo, Tang, Jin, Ding, Chris H Q, Luo, Bin]. 3790--3796. "AAAI Press".
        http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9386

      2014
      • Conference Proceeding
        Feature Selection at the Discrete Limit
        Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Qu\'ebec City, Qu\'ebec, Canada.
        [Zhang, Miao, Ding, Chris H Q, Zhang, Ya, Nie, Feiping, Brodley, CarlaE., Stone, Peter]. 1355--1361. "AAAI Press".
        http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8566
      • Conference Proceeding
        Non-Convex Feature Learning via Lp, inf Operator
        Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Quebec City, Quebec, Canada.
        [Kong, Deguang, Ding, Chris H Q, Brodley, CarlaE., Stone, Peter]. 1918--1924. "AAAI Press".
        http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8495
      • Conference Proceeding
        Pairwise-Covariance Linear Discriminant Analysis
        Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Quebec City, Quebec, Canada.
        [Kong, Deguang, Ding, Chris H Q, Brodley, CarlaE., Stone, Peter]. 1925--1931. "AAAI Press".
        http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8482
      • Conference Proceeding
        Robust Non-Negative Dictionary Learning
        Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Quebec City, Quebec, Canada.
        [Pan, Qihe, Kong, Deguang, Ding, Chris H Q, Luo, Bin, Brodley, CarlaE., Stone, Peter]. 2027--2033. "AAAI Press".
        http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8560

      2013
      • Conference Proceeding
        Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso
        [Kong, Deguang , Ding, Chris]. 379-388. "ICDM 2013".
      • Conference Proceeding
        Robust Tucker Tensor Decomposition for Effective Image Representation
        [Zhang, Miao , Ding, Chris]. 2448-2455. "ICCV 2013".
      • Conference Proceeding
        Probabilistic solutions of influence propagation on social networks
        [Zhang, Miao, Dai, Chunni , Ding, Chris , Chen, Enhong ]. 429-438. "CIKM 2013".
      • Conference Proceeding
        Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective
        [Kong, Deguang, Zhang, Miao, Ding, Chris]. 2, 177-193. "European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013".
      • Conference Proceeding
        On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions
        [Cai, Xiao, Ding, Chris, Nie, Feiping, Huang, Heng]. 1124-1132. "The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, . KDD 2013".
      • Conference Proceeding
        Adaptive Loss Minimization for Semi-Supervised Elastic Embedding
        [Nie, Feiping , Wang, Hua , Huang, Heng , Ding, Chris ]. 1565-1571. "Proceedings of the 23rd International Joint Conference on Artificial Intelligence, IJCAI 2013".
      • Conference Proceeding
        Early Active Learning via Robust Representation and Structured Sparsity
        [Nie, Feiping, Wang, Hua , Huang, Heng , Ding, Chris ]. 1572-1578. "Proceedings of the 23rd International Joint Conference on Artificial Intelligence, IJCAI 2013".
      • Conference Proceeding
        Social Trust Prediction Using Rank-k Matrix Recovery
        [Huang, Jin, Nie, Feiping , Huang, Heng , Ding, Chris , Yu, Lei]. 2647-2653. "Proceedings of the 23rd International Joint Conference on Artificial Intelligence, IJCAI 2013".
      • Conference Proceeding
        Graph-Laplacian PCA: Closed-Form Solution and Robustness
        [Jiang, Bo, Ding, Chris, Luo, Bin]. 2013, 3492-3498. "CVPR 2013".
      • Conference Proceeding
        Heterogeneous Visual Features Fusion via Sparse Multimodal Machine
        [Wang, Hua, Nie, Feiping, Huang, Heng, Ding, Chris]. 3097-3102. "CVPR 2013".
      • Conference Proceeding
        Supervised and Projected Sparse Coding for Image Classification
        [Huang, Jin , Nie, Feiping , Huang, Heng , Ding, Chris ]. "AAAI 2013".
      • Conference Proceeding
        Uncorrelated Lasso
        [Chen, Sibao, Ding, Chris , Luo, Bin , ]. "AAAI 2013".
      • Conference Proceeding
        Collective Kernel Construction in Noisy Environment. SDM 2013: 64-72
        [Zhang, Miao, Ding, Chris, Kong, Deguang]. 64-72. "2013 SIAM Conference on Data Mining, SDM 2013".

Presentations

    • August  2011
      Ding, Chris H Q, "Robust Nonnegative Matrix Factorizations using L1, L21 Norms". (August 21, 2011).
    • August  2011
      Ding, Chris H Q, "Tensor Models for Social Tagging Prediction". (August 21, 2011).
    • August  2011
      Ding, Chris H Q, "Sparse Coding: Struc- tured Sparsity, Models and Algorithms", HeFei Univ of Technology, HeFei, China, . (August 9, 2011).
    • July  2011
      Ding, Chris H Q, "Tensor Models for Social Tagging Prediction", Renmin University of China, School of Information Science. . (July 29, 2011).
    • July  2011
      Ding, Chris H Q, "Sparse Coding: Structured Sparsity, Models and Algorithms", Institute of Computing Technology, Chinese Academy of Sciences, , Institute of Computing Technology, Chinese Academy of Sciences, . (July 28, 2011).
    • June  2010
      Ding, Chris H Q, "Image Anno- tation via Multi-label Classification: Multilabel LDA and Correlated Green’s Func- tions", Shanghai JiaoTong University. Shanghai, China. (June 3, 2010).
    • May  2010
      Ding, Chris H Q, "Tensor Error Bounds and Clustering", Fudan University. Shanghai, China. (May 13, 2010).
    • December  2009
      Ding, Chris H Q, "Data Mining with Graphs and Matrices IEEE Int’l Conf on Data Mining (ICDM 2009)". (December 7, 2009).
    • November  2009
      Ding, Chris H Q, "Computing Protein Interaction Modules Using Graph Algorithms.", Computer Science Department, University of Waterloo, Canada. (November 2, 2009).
    • June  2009
      Ding, Chris H Q, "Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining using Matrices and Tensors", Paris, France,. (June 28, 2009).
    • June  2009
      Ding, Chris H Q, "Nonnegative Matrix Factor- ization for Clustering and Combinatorial Optimizations", Microsoft Research Asia, Beijing. (June 16, 2009).
    • May  2009
      Ding, Chris H Q, "Data Mining with Graphs and Matrices SIAM Int’l Conf on Data Mining (SDM 2009) ". (May 1, 2009).
    • February  2009
      Ding, Chris H Q, "Nonnegative Matrix Factorization for Clustering and Combinatorial Optimizations", Carnegie Mellon University. School of Computer Science . (February 23, 2009).
    • February  2009
      Ding, Chris H Q, "Tensor Clustering and Error Bounds". (February 20, 2009).
    • August  2008
      Ding, Chris H Q, "Proceedings of the 1st ACM SIGKDD Workshop on Data Mining using Matrices and Tensors", Paris, France,. (August 24, 2008).
    • April  2008
      Ding, Chris H Q, "Nonnegative Matrix Factorization for Data Clustering.", Department of Mathematics. , Hong Kong Baptist University, Hong Kong. (April 22, 2008).
    • April  2008
      Ding, Chris H Q, "Spectral Clustering", Department of Computer Science, University of Science and Technology, China. (April 19, 2008).
    • April  2008
      Ding, Chris H Q, "Protein Interaction Module Detection Using Graph Algorithms", Chinese Academy of Sciences. Institute of Applied Mathematics. (April 16, 2008).
    • November  2007
      Ding, Chris H Q, "Minimum Redundancy Feature Selection and Extraction IEEE Int’l Conf on Bioinformatics and Biomedicine (BIBM 2007) ". (November 2, 2007).
    • April  2007
      Ding, Chris H Q, "Spectral Clustering and Nonnegative Matrix Factorization, at IEEE Sym- posium on Computational Intelligence and Data Mining (CIDM 2007) ". (April 1, 2007).
    • January  2007
      Ding, Chris H Q, "Computational Systems Bioinformatics Conference ". (January 1, 2007).
    • January  2007
      Ding, Chris H Q, "International Conference on AI and Statistics ". (January 1, 2007).
    • January  2006
      Ding, Chris H Q, "IEEE International Conference on Data Mining (ICDM)". (January 1, 2006).
    • January  2006
      Ding, Chris H Q, "International Conference on Machine Learning ". (January 1, 2006).
    • November  2005
      Ding, Chris H Q, "Bioinformatics and Bio-imaging, at IEEE International Conference on Data Mining,". (November 27, 2005).
    • October  2005
      Ding, Chris H Q, "Spectral Clustering, at European Conf. Machine Learning and Knowledge Dis- covery in Databases (PKDD’05)", Porto, Portugal, . (October 3, 2005).
    • August  2005
      Ding, Chris H Q, "Principal Component Analysis and Matrix Factorizations for Learning, at International Conference on Machine Learning". (August 7, 2005).
    • January  2005
      Ding, Chris H Q, "SIAM International Conference on Data Mining (SDM)". (January 1, 2005).
    • July  2004
      Ding, Chris H Q, "Spectral Clustering, at International Conference on Machine Learning". (July 4, 2004).
    • November  2003
      Ding, Chris H Q, "Bioinformatics and Machine Learning Methods, at IEEE International Con- ference on Data Mining". (November 19, 2003).
    • January  Unknown
      Ding, Chris H Q, "ACM International Conference on Knowledge Discovery and Data Mining (KDD)". (January 1).
    • January  Unknown
      Ding, Chris H Q, "• International Joint Conference on Artificial Intelligence (IJCAI 2011, No.1 conference in Artificial Intelligence) (Senior PC)". (January 1).

Students Supervised

    • Present
      Dissertation Committee Chair
      Yun Liu, (Computer Science and Engineer)
    • Present
      Dissertation Committee Chair
      Qicheng Wang, (Computer Science and Engineer)
    • Present
      Dissertation Committee Chair
      Jianjin Deng, (Computer Science and Engineer)
    • Present
      Dissertation Committee Chair
      Di Ming, (Computer Science and Engineer)
    • Dec 2016
      Dissertation Committee Chair
      Deguang Kong, (Computer Science and Engineer)
    • Dec 2016
      Dissertation Committee Chair
      Jinjun Yuan, • Di Ming, Ph.D. student • Jinjun Yuan, Ph.D. student • Shuai Zheng, Ph.D. student • Miao Zhang, Ph.D. student, graduated May 2014; data scientist at AT&T Research Labs, San Francisco • Deguand Kong, Ph.D. student, graduated Dec 2013, scientist at Samsung Reseach, San Jose, CA • Dijun Luo, Ph.D., co-advising, graduated 2012 (co-authored 18 papers, 17 in top tier conferences); received job offer from IBM Research and SRI. • Hua Wang, Ph.D., co-advising, graduating 2012 (co-authored 13 papers, all in top tier conferences); tenure-track assistant professor at Coloarado School of Mines • Linbin Yu, Ph.D. student, graduated, now R&D engineer at Zynga (Computer Science and Engineer)
      Ph.D. Students Mentored
    • Dec 2016
      Dissertation Committee Chair
      Shuai Zheng, (Computer Science and Engineer)
    • Dec 2016
      Other
      Feiping Nie,
      Postdocs Mentored
    • May 2015
      Dissertation Committee Chair
      Miao Zhang, (Computer Science and Engineer)
    • May 2015
      Dissertation Committee Co-Chair
      Linbin Yu, (Computer Science and Engineer)
    • May 2014
      Dissertation Committee Chair
      Rahul Singhal,
      Master Students mentored
    • May 2012
      Dissertation Committee Co-Chair
      Dijun Luo, (Computer Science and Engineer)
    • May 2012
      Dissertation Committee Co-Chair
      Hua Wang, (Computer Science and Engineer)
    • May 2010
      Other
      Hui Xiong,
      Summer Interns Mentored

Courses

      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Spring - Regular Academic Session - 2021
      • CSE 7399-028 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Spring - Regular Academic Session - 2021
      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Fall - Regular Academic Session - 2020
      • CSE 7399-028 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Fall - Regular Academic Session - 2020
      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Spring - Regular Academic Session - 2020
      • CSE 7399-028 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Spring - Regular Academic Session - 2020
      • CSE 6363-001 MACHINE LEARNING
        (Course Id: 102604)
        Spring - Regular Academic Session - 2020
      • CSE 6363-204 MACHINE LEARNING
        (Course Id: 102604)
        Spring - Regular Academic Session - 2020
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2020
      • CSE 5334-002 DATA MINING
        (Course Id: 102532)
        Fall - Regular Academic Session - 2019 Download Syllabus
      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Fall - Regular Academic Session - 2019
      • CSE 4391-006 INDIVIDUAL PROJECTS
        (Course Id: 102488)
        Fall - Regular Academic Session - 2019 Download Syllabus
      • CSE 6363-002 MACHINE LEARNING
        (Course Id: 102604)
        Fall - Regular Academic Session - 2019 Download Syllabus
      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Spring - Regular Academic Session - 2019
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2019
      • CSE 5334-002 DATA MINING
        (Course Id: 102532)
        Fall - Regular Academic Session - 2018
      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Fall - Regular Academic Session - 2018
      • CSE 6363-002 MACHINE LEARNING
        (Course Id: 102604)
        Fall - Regular Academic Session - 2018
      • CSE 6997-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102618)
        Fall - Regular Academic Session - 2018
      • CSE 5334-001 DATA MINING
        (Course Id: 102532)
        Spring - Regular Academic Session - 2018
      • CSE 6399-028 DISSERTATION
        (Course Id: 102610)
        Spring - Regular Academic Session - 2018
      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Spring - Regular Academic Session - 2018
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2018
      • CSE 6697-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2018
      • CSE 5334-002 DATA MINING
        (Course Id: 102532)
        Fall - Regular Academic Session - 2017
      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Fall - Regular Academic Session - 2017
      • CSE 6999-028 DISSERTATION
        (Course Id: 102619)
        Fall - Regular Academic Session - 2017
      • CSE 6363-002 MACHINE LEARNING
        (Course Id: 102604)
        Fall - Regular Academic Session - 2017
      • CSE 6997-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102618)
        Fall - Regular Academic Session - 2017
      • CSE 5334-001 DATA MINING
        (Course Id: 102532)
        Spring - Regular Academic Session - 2017
      • CSE 6399-028 DISSERTATION
        (Course Id: 102610)
        Spring - Regular Academic Session - 2017
      • CSE 7399-028 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Spring - Regular Academic Session - 2017
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2017
      • CSE 6697-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2017
      • CSE 5334-002 DATA MINING
        (Course Id: 102532)
        Fall - Regular Academic Session - 2016
      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Fall - Regular Academic Session - 2016
      • CSE 6697-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Fall - Regular Academic Session - 2016
      • CSE 6997-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102618)
        Fall - Regular Academic Session - 2016
      • CSE 6339-001 SPEC TOPS ADV DATABASE SYS
        (Topic: Health Informatics | Course Id: 102592)
        Fall - Regular Academic Session - 2016
      • CSE 6697-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Summer - Eleven Week - 2016
      • CSE 5334-001 DATA MINING
        (Course Id: 102532)
        Spring - Regular Academic Session - 2016
      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Spring - Regular Academic Session - 2016
      • CSE 5311-004 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Spring - Regular Academic Session - 2016
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2016
      • CSE 6697-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2016
      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Fall - Regular Academic Session - 2015
      • CSE 5311-003 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Fall - Regular Academic Session - 2015
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2015
      • CSE 5311-001 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Spring - Regular Academic Session - 2015
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2015
      • CSE 6697-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2015
      • CSE 6339-002 SPEC TOPS ADV DATABASE SYS
        (Course Id: 102592)
        Spring - Regular Academic Session - 2015
      • CSE 5311-003 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Fall - Regular Academic Session - 2014
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2014
      • CSE 6997-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102618)
        Fall - Regular Academic Session - 2014
      • CSE 6339-001 SPEC TOPS ADV DATABASE SYS
        (Topic: database exploration | Course Id: 102592)
        Fall - Regular Academic Session - 2014
      • CSE 6697-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Summer - Eleven Week - 2014
      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Spring - Regular Academic Session - 2014
      • CSE 5311-001 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Spring - Regular Academic Session - 2014
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2014
      • CSE 6339-002 SPEC TOPS ADV DATABASE SYS
        (Course Id: 102592)
        Spring - Regular Academic Session - 2014
      • CSE 6999-028 DISSERTATION
        (Course Id: 102619)
        Fall - Regular Academic Session - 2013
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2013
      • CSE 6339-002 SPEC TOPS ADV DATABASE SYS
        (Topic: Ad Data Mining | Course Id: 102592)
        Fall - Regular Academic Session - 2013
      • CSE 5301-001 DATA ANALYSIS & MODELING TECHS
        (Course Id: 102499)
        Spring - Regular Academic Session - 2013
      • CSE 6399-028 DISSERTATION
        (Course Id: 102610)
        Spring - Regular Academic Session - 2013
      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Spring - Regular Academic Session - 2013
      • CSE 6339-002 SPEC TOPS ADV DATABASE SYS
        (Course Id: 102592)
        Spring - Regular Academic Session - 2013
      • CSE 6399-028 DISSERTATION
        (Course Id: 102610)
        Fall - Regular Academic Session - 2012
      • CSE 6699-028 DISSERTATION
        (Course Id: 102615)
        Fall - Regular Academic Session - 2012
      • CSE 6339-002 SPEC TOPS ADV DATABASE SYS
        (Topic: Ad Data Mining | Course Id: 102592)
        Fall - Regular Academic Session - 2012
      • CSE 6697-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Summer - Eleven Week - 2012
      • CSE 5311-001 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Spring - Regular Academic Session - 2012
      • CSE 6697-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2012
      • CSE 6339-002 SPEC TOPS ADV DATABASE SYS
        (Course Id: 102592)
        Spring - Regular Academic Session - 2012
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2011
      • CSE 6697-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Fall - Regular Academic Session - 2011
      • CSE 6339-002 SPEC TOPS ADV DATABASE SYS
        (Topic: Ad Data Mining | Course Id: 102592)
        Fall - Regular Academic Session - 2011
      • CSE 6697-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Summer - Eleven Week - 2011
      • CSE 5301-001 DATA ANALYSIS & MODELING TECHS
        (Course Id: 102499)
        Spring - Regular Academic Session - 2011
      • CSE 5311-001 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Spring - Regular Academic Session - 2011
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2011
      • CSE 6697-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2011
      • CSE 6997-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102618)
        Spring - Regular Academic Session - 2011
      • CSE 5301-001 DATA ANALYSIS & MODELING TECHS
        (Course Id: 102499)
        Fall - Regular Academic Session - 2010
      • CSE 5698-028 MASTER'S THESIS II
        (Course Id: 102571)
        Fall - Regular Academic Session - 2010
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2010
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Summer - Eleven Week - 2010
      • CSE 6697-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Summer - Eleven Week - 2010
      • CSE 5311-001 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Spring - Regular Academic Session - 2010
      • CSE 5311-002 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Spring - Regular Academic Session - 2010
      • CSE 5398-028 MASTER'S THESIS I
        (Course Id: 102566)
        Spring - Regular Academic Session - 2010
      • CSE 6197-002 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102572)
        Spring - Regular Academic Session - 2010
      • CSE 6297-002 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102573)
        Spring - Regular Academic Session - 2010
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2010
      • CSE 6339-001 SPEC TOPS ADV DATABASE SYS
        (Topic: Need Title | Course Id: 102592)
        Spring - Regular Academic Session - 2010
      • CSE 6397-028 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2009
      • CSE 6319-001 SPEC TOPS ADV THEORY & ALGORIT
        (Topic: Bio, Social, Info NWS | Course Id: 110975)
        Fall - Regular Academic Session - 2009

Service to the University

    • Jan 2015 to  Present Committee Member
      Comprehensive Review Committee
    • Sept 2007 to  Present Program Organizer
      CSE
    • Jan Unknown to  Present Committee Member
      Master Thesis Committee for 5 students
    • Jan Unknown to  Present Committee Member
      Ph.D. Thesis Committee
    • Jan Unknown to  Present
      ”Initiative on Computational Science” a joint initiative of CSE Depart- ment with other departments including Math, Chemistry, Biology, Bioengineering, Industrial & Civil Engineering.
    • Jan 2012 to  Jan 2015 Committee Member
      Awards Committee
    • Jan 2011 to  Jan 2015 Committee Member
      Tenure and Promotion Committee
      co-chair 2011-2012.
    • Jan 2009 to  Jan 2010 Committee Member
      Department Colloquium & Seminar Committee Chair
    • Jan 2007 to  Jan 2010 Committee Member
      Faculty Recruiting Committee
    • Jan 2007 to  Jan 2008 Committee Member
      Ph.D. Students Admission Committee Chair

Service to the Profession

    • Jan 2011 to  Present
      Research Proposal Reviewer
      National Science Foundation of Netherland
    • Jan 2007 to  Present
      Research Proposal Reviewer
      National Science Foundation of Israel
    • Jan 2005 to  Present
      Research Proposal Reviewer
      National Science Foundation of Ireland
    • Jan Unknown to  Present
      Guest Editor
      Data Mining and Knowledge Discovery (a journal published by Springer).
    • Jan Unknown to  Present
      Research Proposal Reviewer
      Hong Kong, Research Grants Council
      2007, 2009, 2011
    • Jan Unknown to  Present
      Principal Organizer
      ICDM
      • ICDM 2014 Workshop on Optimization-based Methods for Emerging Data Mining Problems • ICDM 2013 Workshop on Optimization-based Methods for Emerging Data Mining Problems • ICDM 2012 Workshop on Optimization-based Methods for Emerging Data Mining Problems • ICDM 2011 Workshop on Optimization-based Methods for Emerging Data Mining Problems • ICDM 2010 Workshop on Optimization-based Methods for Emerging Data Mining Problems • ICDM 2009 Workshop on Optimization-based Methods for Emerging Data Mining Problems • KDD 2009 Workshop on Data Mining Using Matrices and Tensors • KDD 2008 Workshop on Data Mining Using Matrices and Tensors
    • Jan Unknown to  Present
      Associate Editor
      International Journal of Data Mining and Bioinformatics
    • Jan Unknown to  Present
      Journal Referee
      Journal of Machine Learning Research, Journal of Artificial Intelligence Research, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Pattern Recognition and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems, Computational Statistics and Data Analysis, Bioinformatics, BMC Bioinformatics, Protein Sciences, Concurrency: Practice and Experience, Int’l J. on Distributed and Parallel Computing, Information Processing & Management,
      Journal of Machine Learning Research, Journal of Artificial Intelligence Research, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Pattern Recognition and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems, Computational Statistics and Data Analysis, Bioinformatics, BMC Bioinformatics, Protein Sciences, Concurrency: Practice and Experience, Int’l J. on Distributed and Parallel Computing, Information Processing & Management,
    • Jan Unknown to  Present
      Research Proposal Reviewer/ Panel Member
      U.S. National Science Foundation, Computer Information Science and Engi- neering Directorate
      2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011.
    • Jan Unknown to  Present
      Research Proposal Reviewer
      • U.S. Dept of Energy, Office of Science, Applied Math Program
      2007,2008,2009