RESEARCH INTEREST Data Mining, Machine Learning, Information Retrieval and Bio/Medical/Health Informatics.
   
EDUCATION      
August 2010 Ph.D., Department of Computer Science, Wayne State University, USA.
May 2004 M.S., Department of Computer Science and Engineering, Michigan State University, USA.
   
WORKING EXPERIENCE
2013 - present Application Programmer/Analyst, Division of Gastroenterology, Department of Internal Medicine, University of Michigan Health System, USA
2010 - 2012 Research Fellow and Software Engineering Consultant, Department of Biostatistics, School of Public Health, University of Michigan, USA
2005 - 2010 Graduate Reseach Assistant, Department of Computer Science, Wayne State University, USA
2006 - 2008 Graduate Teaching Assistant, Department of Computer Science, Wayne State Universtiy, USA
1994 - 2000 Data Analyst, China National Nonferrous Metals Industry Trading Group Corporation, Beijing, China
   
PUBLICATIONS
ARTICLES IN REFEREED JOURNALS
  1. Graph-based Optimization Algorithm and Software on Kidney Exchanges, by Yanhua Chen, Yijiang Li, Jack D. Kalbfleisch, Yan Zhou, Alan Leichtman and Peter X.-K. Song, IEEE Transactions on Biomedical Engineering (TBME), , Vol. 59, No. 7, pp. 1985-1991, July 2012. [Software Demo]
  2. Non-negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering, by Yanhua Chen, Lijun Wang, Ming Dong, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 22, No. 10, pp. 1459-1474, October 2010. [Code]
  3. Exemplar-based Visualization of Large Document Corpus, by Yanhua Chen, Lijun Wang, Ming Dong, and Jing Hua, IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 15, No. 6, pp. 1161-1168, November/December 2009. [Data][Software Demo]
  4. Non-negative Matrix Factorization for Semi-supervised Data Clustering, by Yanhua Chen, Manjeet Rege, Ming Dong, and Jing Hua, Journal of Knowledge and Information Systems (KAIS), (Springer), Vol. 17, No. 3, pp. 355- 379, 2008. [Code]
ARTICLES IN REFEREED CONFERENCES
  1. Integrating Developmental and Conventional Markov Decision Processes: An Application to Robotic Navigation, by Shuqing Zeng and Yanhua Chen, Proceedings of the International Joint Conference on Neural Networks(IJCNN), Dallas, TX, USA, 2013.
  2. Computerized Decision Support System for Kidney Paired Donation Program, by Yanhua Chen and Peter X.-K. Song, Proceedings of 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC), Boston, MA, USA, 2011.
  3. Online-learned Classifiers for Robust Multitarget Tracking, by Shuqing Zeng and Yanhua Chen, Proceedings of the International Joint Conference on Neural Networks(IJCNN), San Jose, CA, USA, 2011.
  4. Computerized Platform for Optimal Organ Allocations in Kidney Exchanges, by Yanhua Chen, Jack Kalbfleisch, Yijiang Li, Peter X.-K. Song, and Yan Zhou, Proceedings of the 2011 International Conference of Bioinformatics and Computational Biology (BIOCOMP), Las Vegas, NV, USA, 2011 (acceptance rate = 21%).
  5. Image Co-clustering with Multi-modality Features and User Feedbacks, by Yanhua Chen, Ming Dong, and Wanggen Wan, Proceedings of the ACM International Conference on Multimedia (ACM MM), pp. 689-692, Beijing, China, 2009 (acceptance rate = 28%).
  6. Exemplar-based Visualization of Large Document Corpus, by Yanhua Chen, Lijun Wang, Ming Dong, and Jing Hua, in IEEE Information Visualization Conference (IEEE InfoVis), Atlantic City, NJ, USA, 2009 (acceptance rate = 26%, the journal version appeared in IEEE TVCG).
  7. Semi-supervised Document Clustering with Simultaneous Text Representation and Categorization, by Yanhua Chen, Lijun Wang, and Ming Dong, accepted by European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), appeared in the Springer-Verlag Lecture Notes in Artificial Intelligence (LNAI), Part I , pp. 211-226, Bled, Slovenia, 2009 (acceptance rate: 22%).
  8. Joint Tracking-Registration with Linear Complexity: An Application to Range Sensors, by Shuqing Zeng and Yanhua Chen, Proceedings of the International Joint Conference on Neural Networks(IJCNN), pp. 3498-3503, Atlanta, GA, USA, 2009.
  9. A Matrix-based Approach for Semi-supervised Document Co-clustering, by Yanhua Chen, Lijun Wang, and Ming Dong, Proceedings of the ACM 17th Conference on Information and Knowledge Management (CIKM), pp. 1523-1524, Napa Valley, CA, USA, 2008 (acceptance rate: 16%).
  10. Salient Region Detection and Feature Extraction in 3D Visual Data, by Ming Dong and Yanhua Chen, Proceedings of the IEEE International Conference on Image Processing (ICIP), pp.185-188, San Diego, CA, USA, 2008.
  11. Incorporating User provided Constraints into Document Clustering, by Yanhua Chen, Manjeet Rege, Ming Dong, and Jing Hua, Proceedings of the IEEE International Conference of Data Mining (ICDM), pp 103-131, Omaha, NE, USA, 2007 (regular paper, acceptance rate: 7.2%).
  12. Deriving Semantics for Image Clustering from Accumulated User Feedbacks, by Yanhua Chen, Manjeet Rege, Ming Dong, and Farshad Fotouhi, Proceedings of the ACM Multimedia (ACM MM), pp 313-316, Augsburg, German, 2007 (acceptance rate: 24%).
  13. Gene Expression Clustering: a Novel Graph Partitioning Approach, by Yanhua Chen, Ming Dong, and Manjeet Rege, Proceedings of the International Joint Conference on Neural Networks(IJCNN), pp. 1542-1547, Orlando, FL, USA, 2007.
TECHNICAL REPORT
  1. Exemplar-based Clustering with Prior Knowledge, by Yanhua Chen, Ming Dong, Department of Computer Science, Wayne State University, May 2010.
THESES
  1. Data Clustering and Visualization through Matrix Factorization, by Yanhua Chen and Ming Dong, PhD Dissertation , Wayne State University, USA, 2010.
   
PRESENTATIONS   
  1. Integrating Developmental and Conventional Markov Decision Processes: An Application to Robotic Navigation, International Joint Conference on Neural Networks, Dallas, TX, USA, August 2013
  2. Optimization Algorithm and Software for Kidney Paired Donation Program, Institute and Operations Research and Management Sciences (INFORMS) International Conference, Beijing, China, June 2012
  3. Graph-driven Techniques for Emerging Data Mining Problems, Oklahoma State University, Computer Science Department Seminar, April 2012
  4. Optimization in Microsimulation Kidney Paired Donation (KPD) Program, Informs 2011 Annual Meeting, Charlotte, NC, November 2011
  5. Computerized Decision Support System for Kidney Paired Donation Program, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, USA, September 2011
  6. Online-learned Classifiers for Robust Multitarget Tracking, International Joint Conference on Neural Networks, San Jose, CA, USA, August 2011
  7. Computerized Platform for Optimal Organ Allocations in Kidney Exchanges, 2011 International Conference of Bioinformatics and Computational Biology, Las Vegas, NV, USA, July 2011
  8. Data Clustering and Visualization through Matrix Factorization, PhD Dissertation Defense, Wayne State University, Detroit, MI, USA, March, 2010.
  9. Exemplar-based Visualization of Large Document Corpus, IEEE Information Visualization Conference, Atlantic City, NJ, USA, October 2009
  10. Salient Region Detection and Feature Extraction in 3D Visual Data, IEEE International Conference on Image Processing, San Diego, CA, USA, October 2008
  11. Semi-supervised Clustering, Graduate Seminar, Department of Computer Science, Wayne State University, Detroit, MI, USA, February 2008
  12. Incorporating User provided constraints into Document Clustering, IEEE International Conference of Data Mining, Omaha, NE, USA, October 2007
   
POSTERS   
  1. Graphical Interface for Kidney Paired Donation Program, International Biometric Society Eastern North American Region Spring Meeting, Miami, FL, USA, March 2011
  2. Image Co-clustering with Multi-modality Features and User Feedbacks, ACM Multimedia, Beijing, China, October 2009
  3. A Matrix-based Approach for Semi-supervised Document Co-clustering, ACM 17th Conference on Information and Knowledge Management, Napa Valley, CA, USA, October 2008
  4. Deriving Semantics for Image Clustering from Accumulated User Feedbacks, ACM Multimedia, Augsburg, Germany, September 2007
  5. Gene Expression Clustering: a Novel Graph Partitioning Approach, IEEE International Joint Conference on Neural Networks, Orlando, FL, USA, August 2007
   
GRANTS, HONORS AND AWARDS   
  1. NSF Computing Innovation Fellowship, Research Grant, 2010-2012, NSF/CRA (47 recipients nationally), $267,500
  2. Michael E. Conrad Graduate Research Publication Award, Department of Computer Science, Wayne State University, April 2010 (only one recipient per year)
  3. ACM-W Scholarships for Attendance at Research Conferences, provided by ACM's Committee on Women in Computing, Oct. 2009
  4. Competitive Thomas C. Rumble University Graduate Fellowship, provided by Graduate School, Wayne State University, Aug. 2009- May 2010 (only six recipients selected from all graduate students in the whole university)
  5. Summer Dissertation Fellowship, provided by Graduate School, Wayne State University, May 2009- Aug. 2009
  6. Ford Motor Company Scholarship, provided by Ford Motor Company, Department of Computer Science, Wayne State University, May 2009
  7. Graduate Research Assistant Recognition Award, provided by Department of Computer Science, Graduate School, Wayne State University, April 2008
  8. a best paper of IEEE International Conference of Data Mining, Incorporating User provided Constraints into Document Clustering, Oct. 2007
  9. IEEE ICDM Student Award, provided by IBM Research, Microsoft adCenter Labs, and IEEE TCII, Oct. 2007
  10. IEEE IJCNN Student Travel Award, provided by International Neural Network Society, Aug. 2007
  11. Graduate Student Travel Award, provided by Graduate School and Department of Computer Science, Wayne State University, 2007
  12. Thomas C. Rumble Fellowship, Wayne State University, Aug. 2005- May 2006
  13. CVIP Scholarship for International Students, Michigan State University, 2002
   
REARCH PROJECTS
  1. Optimal Graph Crossmath Model for Kidney Paired Donation Program, NSF/CRA
  2. CRI: IAD Acquisition of Research Infrastructure for Knowledge-enhanced Large-scale Learning of Multimodality Visual Data, NSF
  3. HyperEye: Susceptibility Weighted Imaging-based Informatics Tools for Brain Tumor Studies, State of Michigan, 21st Century Jobs Fund
  4. Collaborative Research: Integrated Modeling and Learning of Multimodality Data across Subjects for Brain Disorder Study, NSF
   
SOFTWARE/CODE AND DATA
  1. Kidney Paired Dontation Program Software Demo Download
  2. SS-NMF for Homogeneous Data Clustering Sample Code Download
  3. SS-NMF for Heterogeneous Data Co-clustering Sample Code Download
  4. Exemplar-based Visualization Data and Software Demo Download
   
PROFESSIONAL ACTIVITIES AND MEMBERSHIPS   
  1. Technical Committee of 2008 IEEE World Congress on Computational Intelligence
  2. Technical Committee of 7th and 9th International Symposium on Neural Networks
  3. Reviewers of IEEE TNNLS, IEEE TIP, IEEE TSP, IEEE TKDE, IJHR, IEEE SPL, IEEE WCCI, IEEE GRC, ISNN, DMKD, ACM TIST,
  4. Member of IEEE, ACM
   
   
REFERENCES   
  1. Dr. Peter X.-K. Song, Department of Biostatistics, University of Michigan
  2. Dr. Ming Dong, Department of Computer Science, Wayne State University
  3. Dr. Farshad Fotouhi, Department of Computer Science, Wayne State University
  4. Dr. Loren Schwiebert, Department of Computer Science, Wayne State University
  5. Dr. Jing Hua, Department of Computer Science, Wayne State University
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