Yanhua Chen

ARTICLES IN REFEREED JOURNALS

1. Allele-specific variation at APOE increases nonalcoholic fatty liver disease and obesity but decreases risk of Alzheimer's disease and myocardial infarction, by Palmer ND, Kahali B, Kuppa A, Chen Yanhua, Du X, Feitosa MF, Bielak LF, O'Connell JR, Musani SK, Guo X, Smith AV, Ryan KA, Eirksdottir G, Allison MA, Bowden DW, Budoff MJ, Carr JJ, Chen YI, Taylor KD, Correa A, Crudup BF, Halligan B, Yang J, Kardia SLR, Launer LJ, Fu YP, Mosley TH, Norris JM, Terry JG, O'Donnell CJ, Rotter JI, Wagenknecht LE, Gudnason V, Province MA, Peyser PA, Speliotes EK, Human Molecular Genetics,30(15):1443-1456, July 2021. [Pubmed Link]
2. Genome-wide association study of serum liver enzymes implicates diverse metabolic and liver pathology, by Vincent L. Chen, Xiaomeng Du, Yanhua Chen, Annapurna Kuppa, Samuel K. Handelman, Rishel B. Vohnoutka, Patricia A. Peyser, Nicholette D. Palmer, Lawrence F. Bielak, Brian Halligan and Elizabeth K. Speliotes, Nature Communications , 12, 816, February 2021. [Pubmed Link]
3. A Noncoding Variant Near PPP1R3B Promotes Liver Glycogen Storage and MetS, but Protects Against Myocardial Infarction, by Kahali B, Chen Y, Feitosa MF, Bielak LF, O'Connell JR, Musani SK, Hegde Y, Chen Yanhua, Stetson LC, Guo X, Fu YP, Smith AV, Ryan KA, Eiriksdottir G, Cohain AT, Allison M, Bakshi A, Bowden DW, Budoff MJ, Carr JJ, Carskadon S, Chen YI, Correa A, Crudup BF, Du X, Harris TB, Yang J, Kardia SLR, Launer LJ, Liu J, Mosley TH, Norris JM, Terry JG, Palanisamy N, Schadt EE, O'Donnell CJ, Yerges-Armstrong LM, Rotter JI, Wagenknecht LE, Handelman SK, Gudnason V, Province MA, Peyser PA, Halligan B, Palmer ND, Speliotes EK, The Journal of Clinical Endocrinology and Metabolism, 106(2):372-387, January 2021. [Pubmed Link]
4. Genetic variants that associate with liver cirrhosis have pleiotropic effects on human traits, by Vincent L. Chen, Yanhua Chen, Xiaomeng Du, Samuel K. Handelman, and Elizabeth K. Speliotes, Liver International, 40(2):405-415, February 2020. [Pubmed Link]
5. Body Composition and Genetic Lipodystrophy Risk Score Associate with Nonalcoholic Fatty Liver Disease: Analysis of the Framingham Heart Study, by Vincent L. Chen, Andrew P. Wright, Brian Halligan, Yanhua Chen, Xiaomeng Du, Samuel K. Handelman, Michelle T. Long, Douglas P. Kiel, and Elizabeth K. Speliotes, Hepatology Communications,Vol.3, No.8, June 2019. [Wiley Link]
6. 17-Beta Hydroxysteroid Dehydrogenase 13 is a Hepatic Retinol Dehydrogenase Associated With Histological Features of Nonalcoholic Fatty Liver Disease, by Yanling Ma, Olga V. Belyaeva, Philip M. Brown, Koji Fujita, Katherine Valles, Suman Karki, Ynto S. de Boer, Christopher Koh, Yanhua Chen, Xiaomeng Du, Samuel K. Handelman, Vincent Chen, Elizabeth K. Speliotes, Cara Nestlerode, Emmanuel Thomas, David E. Kleiner, Joseph M. Zmuda, Arun J. Sanya for the NASH CRN, Natalia Y. Kedishvili, T Jake Liang, and Yaron Rotman, Hepatology, 69(4):1504-1519, April 2019. [Pubmed Link]
7. Genome-wide Association Analyses Identify 39 New Susceptibility Loci for Diverticular Disease, by Lillias H. Maguire, Samuel K. Handelman, Xiaomeng Du, Yanhua Chen, and Elizabeth K. Speliotes, Nature Genetics, Vol. 50, No. 10, pp. 1359-1365, October, 2018. [Pubmed Link]
8. Functional Analysis of the Dengue Virus Genome Using an Insertional Mutagenesis Screen, by Jeffrey Perry, Yanhua Chen, Elizabeth K. Speliotes, and Andrew W. Tai, Journal of Virology(JVI),Vol. 92, No. 7, April 2018. [Pubmed Link]
9. 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]
10. 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]
11. 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]
12. 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.

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

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

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

1. Identification and Characterization of Loci Associated with Non-alcoholic Fatty Liver Disease, NIH
2. Human population based genetic studies to elucidate the biology of NAFLD, NIH
3. Identification and functional impact of NAFLD associated genetic variants, NIH
4. Genetic Epidemiology Studies of Nonalcoholic Fatty Liver Disease in Diverse Ancestries, Doris Duke Foundation
5. Optimal Graph Crossmath Model for Kidney Paired Donation Program, NSF/CRA
6. CRI: IAD Acquisition of Research Infrastructure for Knowledge-enhanced Large-scale Learning of Multimodality Visual Data, NSF
7. HyperEye: Susceptibility Weighted Imaging-based Informatics Tools for Brain Tumor Studies, State of Michigan, 21st Century Jobs Fund
8. Collaborative Research: Integrated Modeling and Learning of Multimodality Data across Subjects for Brain Disorder Study, NSF

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

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

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