Glenn Fung

University of Wisconsin - Madison

I am from the beautiful city of Barquisimeto , land of the guaros In Venezuela . Currently I am part of the Computer Assisted diagnosis group at Siemens, Medical Solutions, USA in Malvern, PA.

Degrees

	B.S., Universidad Lisandro Alvarado, Barquisimeto - Venezuela, July 1994, Mathematics.
	M.S., Universidad Simon Bolivar, Caracas , Venezuela, Dec 1996, Applied Mathematics.
	M.S., UW Madison, Madison , USA, Dec 2001, Computer Sciences.
	Ph.D., UW Madison, Madison , USA, May 2003, Computer Sciences.

Research

I work on mathematical programming approaches to machine learning and data mining. Areas of research include:

	Support vector machines
	Data Mining
	Supervised and unsupervised learning
	Kernel Classifiers
	Clustering

Another Academic Interests:

	Medical Imaging
	Biharmonic Spline Interpolation
	Ray Tracers (Geophysics)
	Network flows Problems

Technical Publications (For clinical publications see below)

(For a Detailed list of papers click Here )

Mark Schmidt, Glenn Fung and Romer Rosales.

Optimization Methods for L1 Regularization. PDF
Jan. 10. University of British Columbia technical report. TR-2009-19, submitted.

Mahdokht Masaeli, Glenn. Fung and Jennifer Dy.

Transformation Based Feature Selection. PDF
Jan 10, ICML 2010.

Yan Yan, Glenn Fung, Jennifer Dy, Romer Rosales.

Semi-supervised Learning by Modeling Multiple-Annotator Expertise. PDF
March 10, UAI 2010, Plenary sessions.

Yan Yan, Glenn Fung, Jennifer Dy, Romer Rosales.

Medical Coding Classification: Leveraging Inter-Code Relationships. PDF
Jan 10, KDD 2010.

Yan Yan, Glenn Fung, Jennifer Dy, Romer Rosales.

Modeling annotator expertise: Learning when everybody knows a bit of something. PDF
Nov 09, AISTATS 2010

Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn. Fung and Jennifer Dy.

Convex Principal Feature Selection. PDF
Oct. 09. SIAM Data Mining conference 2010 (SDM 2010)

B. Rao, G. Fung,� B. Krishnapuram,� J. Bi,� M. Dundar, V. Raykar, S. Yu,� S. Krishnan, X. Zhou, A. Krishnan, M. Salganicoff, L. Bogoni, M. Wolf, A. Jerebko, J. Stoeckel.

Mining Medical Images PDF
KDD 2009. Best data mining practice award.

Romer Rosales, Glenn Fung and Wei Tong.

Automatic discrimination of mislabeled training points for large margin classifiers. PDF
Snowbird Learning Workshop, Hilton Clearwater, April 13-16, 2009.

K. Jayasurya, G. Fung, S. Yu, C. Dehing-Oberije, D. De Ruysscher, A. Dekker, P. Lambin.

Survival Prediction in Lung Cancer Treated with Radiotherapy - Bayesian Networks vs. Support Vector Machines in Handling Missing Data PDF
International conference in machine learning and its applications. ICMLA 2009.

Glenn Fung, Shipeng Yu, Romer Rosales , Cary Dehing-Oberije, Dirk De Ruysscher, Phillippe Lambin, Sriram Krishnan and Bharat Rao.

Privacy-preserving Cox Regression for Survival Analisys PDF
March. 2008. KDD 2008.

Volkan Vural, Glenn Fung, Jennifer Dy and Romer Rosales

Learning multiclass classifiers and their underlying shared class structure PDF
Feb. 2008. IJCAI 2009.

Bharat Rao, Glenn Fung and Romer Rosales

On the dangers of cross-validation. An experimental evaluation. PDF
Dec. 2007. SIAM data mining conference 2008.

Glenn Fung, Shipeng Yu, Cary Dehing-Oberije, Dirk De Ruysscher, Phillippe Lambin, Sriram Krishnan and Bharat Rao.

Privacy-preserving predictive models for lung cancer survival analisys PDF
Jan. 2008. Privacy-preserving workshop at the SIAM data mining conference 2008.

Mark Schmidt, Romer Rosales, Glenn Fung and Kevin Murphy

Structure learning in random fields for heart motion abnormality detection PDF
Nov. 2007. CVPR 2008.

O.L. Mangasarian, E.W. Wild and Glenn Fung

Privacy-preserving classification of vertically partitioned data via random kernels PDF
Sept. 2007.

Glenn Fung, Renaud Seignauric, Sriram Krishnan, Bharat Rao, Brad Wouters and Philippe Lambin

Reducing a biomarkers list via mathematical programmimg: Applications to gene signatures to detect time-dependent hypoxia in Cancer PDF
June 2007. ICMLA 2007.

Glenn Fung and Hui Chen

Learning sparse surface similarity functions for automatic heart wall motion abnormality detection PDF
AAAI Innovative Applications of Artificial Intelligence Conference (IAAI) 2008.

R Barat Rao, Jinbo Bi, Glenn Fung, Marcos Salganicoff, Nancy Obuchowsky and David Naidich

LungCAD: A clinically approved, machine learning system for lung cancer detection PDF
Feb 2007. KDD 2007.

Mark Schmidt, Glenn Fung and Romer Rosales

Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches PDF Version and supplemental Material
May 2007. ECML 2007, accepted

O. L. Mangasarian, E. W. Wild and Glenn Fung

Proximal Knowledge-Based Classification PDF Version
Data Mining Institute Technical Report 06-05, November 2006.

Glenn Fung, Romer Rosales

Feature Selection and Kernel Design via Linear Programming PDF Version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, June 2006. IJCAI 2007.

Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer Dy, Bharat Rao

Batch-wise Classification with Applications to Computer Aided Diagnosis PDF Version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, April 2006. ECML 2006.

Romer Rosales, Glenn Fung

Learning Sparse Metrics via Linear Programming .PDF version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, March 2006. KDD 2006.

Maleeha Qazi, Glenn Fung, Sriram Krishnan, Romer Rosales, Harald Steck, Bharat Rao, Don Poldermans

Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Segmental Knowledge PDF version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, March 2006. Distinguished Paper Award at IJCAI 2007

Jinbo Bi, Senthyl Periaswamy, Kasunori Okada, Toshiro Kubota, Glenn Fung, Marcos Salganicoff, Bharat Rao

Computer Aided Detection via Asymmetric Cascade of Sparse Hyperplane Classifiers. PDF version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, February 2006. KDD 2006.

Volkan Vural, Glenn Fung, Jennifer Dy, Bharat Rao

Semi-supervised Classifiers using A-priori Metric Information PDF version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, January 2006. Optimization Methods and Software Journal, Special Issue in Machine Learning.

Glenn Fung, Murat Dundar, Balaji Krishnapuram, Bharat Rao

Multiple Instance Algorithms for Computer Aided Diagnosis .PDF Version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, January 2006. NIPS 2006,

Glenn Fung, Romer Rosales, Balaji Krishnapuram

Learning Rankings via Convex Hull Separations .PDF Version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, June 2005. NIPS 2005,

Glenn Fung, Maleeha Qazi, Sriram Krishnan, Jinbo Bi, Bharat Rao, Alan Katz

Sparse classifiers for Automated Heart Wall Motion Abnormality Detection .PDF Version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, March 2005. ICMLA 2005,

Jonathan Stoeckel and Glenn Fung

A Mathematical Programming Approach for Automatic Classification of SPECT Images of Alzheimer's Disease .PDF Version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, November 2004. ICDM 2005,

Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya and Bharat Rao

Sparse Fisher Discriminant Analisys for Computer Aided Detection .PDF Version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, October 2004. SIAM 2005 conference,

Glenn Fung, Sathyakama Sandilya and Bharat Rao

Rule Extraction for Linear Support Vector Machines .PDF Version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, June 2004. KDD 2005 accepted for oral presentation.

Jinbo Bi , Murat Dundar, Glenn Fung and Bharat Rao

Semi-Supervised Mixture of Kernels via LPBoost Methods .PDF Version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, March 2004. ICDM 2005,

Glenn Fung, Murat Dundar, Jinbo Bi and Bharat Rao

A Fast Iterative Algorithm For Fisher Discriminant Using Heterogeneous Kernels .PDF Version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, Jan 2004. ICML 2004, accepted

Glenn Fung and O. L. Mangasarian.

Breast Tumor Susceptibility to Chemotherapy via Support Vector Machines .PDF Version
Data Mining Institute Technical Report 03-06, November 2003. Journal of Computational Managment Sciences, Vol 3, 2006, 103-112 .

Glenn Fung.

The Disputed Federalist Papers: SVM and Feature Selection via Concave Minization .PDF Version
Proceedings of the 2003 Conference of Diversity in Computing . Atlanta, Georgia, USA, 2003, 42-46.

Glenn Fung, O. L. Mangasarian and Jude Shavlik.

Knowledge-based Nonlinear Kernel Classifiers .PDF Version
Data Mining Institute Technical Report 03-02, March 2003. Learning Theory and Kernel Machines. COLT 2003 proceedings, Washington, DC,August 24-27, 2003, Bernhard Scholkopf, Manfred K Warmuth, editors, Springer, Berlin 2003, 102-113.

Glenn Fung and O. L. Mangasarian.

A Feature Selection Newton Method for Support Vector Machine Classification .PDF Version
Data Mining Institute Technical Report 02-03, Sept. 2002. Computational Optimization and Applications journal, Volume 28, Issue 2, Jul 2004, Pages 185 - 202.

Glenn Fung and O. L. Mangasarian.

Finite Newton Method for Lagrangian Support Vector Machine Classification .PDF Version
Data Mining Institute Technical Report 02-01, Feb 2002. Special Issue on Support Vector Machines. Neurocomputing, Volume 55, Issues 1-2, September 2003, Pages 39-55.

Glenn Fung, O. L. Mangasarian and Jude Shavlik.

Knowledge-Based Support Vector Machine Classifiers .PDF Version
Data Mining Institute Technical Report 01-09, Nov 2001. Advances in Neural Information Processing Systems 15, NIPS 2002, S. Becker, S. Thrun and K. Obermayer, editors. MIT press, Cambridge, MA, 2003, 521-528.

Glenn Fung, O. L. Mangasarian.

Incremental Support Vector Machine Classification .PDF Version
Data Mining Institute Technical Report 01-08, Sept. 2001. Proceedings of the Second SIAM International Conference on Data Mining, Arlington, Virginia, April 11-13, 2002,R. Grossman, H. Mannila and R. Motwani, editors, SIAM, Philadelphia 2002, 247-260.

Glenn Fung, O. L. Mangasarian.

Multicategory Proximal Support Vector Classifiers .PDF Version
Data Mining Institute Technical Report 01-06, July 2001. Machine Learning Journal, Volume 59. Numbers 1-2, pages 77-97. May 2005.

Glenn Fung, O. L. Mangasarian.

Proximal Support Vector Classifiers .PDF Version
PSVM FAQ
Data Mining Institute Technical Report 01-02, February 2001. "KDD-2001", Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Aug 26-29, 2001, San Francisco, CA, F. Provost & R. Srikant, editors, ACM, NY 2001, 77-86.
Related Paper: Shrinkage Estimator Generalizations of Proximal Support Vector Machines (pdf), D.K. Agarwal and William DuMouchel, ATT research Labs. Presented at KDD 2002.

Glenn Fung, O. L. Mangasarian & Alexander Smola.

Minimal Kernel Classifiers .PDF Version
Data Mining Institute Technical Report 00-08. November 2000. Journal of Machine Learning Research. Vol 3(Nov): 303-321, 2002.

Glenn Fung and O. L. Mangasarian

Data Selection for Support Vector machines Classifiers .PDF Version
Data Mining Institute Technical Report 00-02, February 2000. "KDD-2000", Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 20-23, 2000, Boston, MA, R. Ramakrishnan & S. Stolfo, editors, ACM, NY 2000, 64-70.

Glenn Fung and O. L. Mangasarian

Semi-Supervised Support Vector Machines for Unlabeled Data Classification .PDF Version
Data Mining Institute Technical Report 99-05, October 1999. Optimization Methods and Software 15, 2001, 29-44.

Deborah Cores, Glenn Fung, Reinaldo Michelena

A Fast and Global Two Point Low Storage Optimization Technique for tracing Rays in 2D and 3D Isotropic Media .PDF Version
CESMA, Universidad Simon Bolivar, Technical Report 99-18. Journal of Applied Geophysics, Volume 45, Issue 4, Pages 273-284 (December 2000).

Clinical Publications, Posters and Abstracts

Renaud Seigneuric, Maud Startmans, Glenn Fung, Balaji Krishnapuram, Dimitri Nuyten, Arien van Erk, Micheal Magagnin, Kasper Rouschop, Sriram Krishnan, Bharat Rao, Chris Evelo, Adrian Begg, Brad Wouters and Philippe Lambin.

Impact of supervised gene signatures of early hypoxia on patient survival
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, April 2007. Radiotherapy and Oncology journal, 83 , (2007) 374-382.

A. Greenberg, W. N. Rom, E. M. Tang, D. Naidich, H. Steck, G. Fung, B. Rao and M. Salganicoff.

Tumor Associated antigens assays (TAA) in managment of ground glass nodules (GGN) indeterminate in CT: preliminary results. Abstract (.DOC)
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, March 2007. European Congress of Radiology, ECR 2007, Vianna, Austria, March 9-13, 2007, Abstract accepted for oral presentation.

Glenn Fung, Balaji Krishnapuram, Sriram Krishnan, and Bharat Rao

Addressing image variability while learning classifiers for detecting clusters of micro-calcifications PDF Version
Computer Aided Diagnosis & Therapy Solutions, Siemens Medical Solutions, April 2006. 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Accepted as a full paper.

Pascal Cathier and Glenn Fung

Population classification using global brain shape features inferred from massive T1-MRI registration PDF Version
Twelfth Annual Meeting of the Organization for Human Brain Mapping, Florence, Italy, June 11-15, 2006. Poster presentation.

J. Hung, M. Jagen, A. Greenberg, E. Tan, D. Naidich, H. Steck, G. Fung, M. Salganikoff, R. B. Rao, B Phalan, E. Eylers and W. Rom

Autoantibody Reactivity to Tumor Associated Antigens as a Biomarker for Early Lung Cancer PPT poster
International Conference of the American Thoracic Society, San Diego, CA, USA, May 19-24, 2006. Poster presentation.

M. Wolf, A. Krishnan, M. Salganicoff, J. Bi, M. Dundar, G. Fung, J. Stoeckel, S. Periaswamy, H. Shen, P. Herzog, D. P. Naidich

CAD Performance Analysis for Pulmonary Nodule Detection on Thin-slice MDCT Scans DOC.
CARS 2005 - Computer Assisted Radiology and Surgery, Proceedings of the 19th International Congress and Exhibition Berlin, Germany, June 22 - 25, 2005.

L. Bogoni,A. Jerebko, P. Cathier, S. Periaswamy, M. Dundar, G. Fung, B. Rao, A. Megibow and M. Macari

Automatic polyp detection: CAD system performance DOC.
14th Annual Meeting of the European Society of Gastrointesinal and Abdominal Radiology, ESGAR 2004, June 15 - 18, Geneva, Switzerland.

A. S. Katz, S. Krishnan, X. Zhou, B. Georgescu, M. Gera, D. Comaniciu, J. Bi, G. Fung, J. Liang, B. Rao, R. Grimson, N. Reichek

Clinical Evaluation of a Novel Automatic Real-Time Myocardial Tracking and Wall Motion Scoring Algorithm for Echocardiography Introduction DOC.
American College of Cardiology Annual Scientific Session, Orlando, Florida, March 2005.

M. Dundar, G. Fung, L. Bogoni, M. Macari, A. Megibow, B. Rao

A Methodology for Training and Validating a CAD System and Potential Pitfalls DOC.
CARS 2004 - Computer Assisted Radiology and Surgery, Proceedings of the 18th International Congress and Exhibition, Chicago, USA, June 23 - 26, 2004.

P.Cathier, S.Periaswamy, A.Jerebko, M.Dundar, J.Liang, G.Fung, J.Stoeckel, T. Venkata, R.Amara, A.Krishnan, B.Rao, A.Gupta, E.Vega, S.Laks, A.Megibow, M.Macari, and L.Bogoni

CAD for Polyp Detection: an Invaluable Tool to Meet the Increasing Need for Colon-Cancer Screening DOC.
CARS 2004 - Computer Assisted Radiology and Surgery, Proceedings of the 18th International Congress and Exhibition, Chicago, USA, June 23 - 26, 2004.

Patents Filed

Glenn Fung and Olvi Mangasarian

"Linear Programming Support Vector Machines Classifier", Patent approval pending, Wisconsin Alumni Research Foundation, Feb. 2003.

SVM Codes and Datasets:

Glenn Fung, Olvi Mangasarian and Yicun Zhang

SVM Tools: A collection of SVM codes based on some of the above papers , Jan. 2003.

MATLAB Datasets: A collection of datasets used on some of the above papers , Jan. 2003.

Other Papers:

Glenn Fung

Machine Learning and Data Mining Via Mathematical Programing Based Support Vector Machines Ph. D Thesis, April. 2003.

Glenn Fung

Local SVM Classification Based On Triangulation, May. 2002.

Glenn Fung

A Comprehensive Overview of Basic Clustering Algorithms, May. 2001. .PDF Version

Glenn Fung

An approach to Dynamically Modifying Neural Network Structures, Dec. 1999
Machine Learning Project.

Glenn Fung

Using Generalized Support Vector Machines on The Disputed Federalist Papers, May 1999
Tools and Enviroments for Optimization Project.

Glenn Fung

Network Simplex: Matlab Graphical solver V1.1, Dec. 1998
Network Flows Class Project: A graphical solver in MATLAB for network flow problems.

Related talks:

Glenn Fung, Sathyakama Sandilya, Bharat Rao

A Fast Iterative Algorithm for Kernel Fisher Discriminant Using Heterogeneous Kernels ICML 2004, July 4-8, 2004, Banff, Alberta, Canada.

Glenn Fung, O.L. Mangasarian and Jude Shavlik

Knowledge-Based Nonlinear Support Vector Machine Classifiers, COLT 2003, August 24-27, 2003, Washington, DC, USA.