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]
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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, accepted by 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, Germany, 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.
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, Octobe 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
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, Institute and Operations Research and Management Sciences (INFORMS) 2011 Annual Meeting, Charlotte, NC, USA, 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 thesis, Department of Computer Science, 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
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