| 2023 | ICLR | Efficient Discrete Multi Marginal Optimal Transport Regularization. | Ronak Mehta, Jeffery Kline, Vishnu Suresh Lokhande, Glenn Fung, Vikas Singh |
| 2021 | AAAI | Nystrmformer: A Nystrm-based Algorithm for Approximating Self-Attention. | Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh |
| 2021 | EMNLP | Low Resource Quadratic Forms for Knowledge Graph Embeddings. | Zachary Zhou, Jeffery Kline, Devin Conathan, Glenn Fung |
| 2020 | KDD | Using Optimal Embeddings to Learn New Intents with Few Examples: An Application in the Insurance Domain. | Shailesh Acharya, Glenn Fung |
| 2020 | KDD | Human-In-The-Loop Topic Discovery with Embedded Text Representations. | Eric Bunch, Qian You, Glenn Fung |
| 2020 | KDD | Rationale-based Human-in-the-Loop via Supervised Attention. | Teja Kanchinadam, Keith Westpfahl, Qian You, Glenn Fung |
| 2019 | AAAI | Discovering Temporal Patterns from Insurance Interaction Data. | Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, Neeraj Arora |
| 2019 | WACV | Ordinal Regression Using Noisy Pairwise Comparisons for Body Mass Index Range Estimation. | Luisa F. Polana, Glenn Fung, Dongning Wang |
| 2018 | ECCV | Efficient Relative Attribute Learning Using Graph Neural Networks. | Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, Vikas Singh |
| 2018 | ICMLA | Using Discriminative Graphical Models for Insurance Recommender Systems. | Teja Kanchinadam, Maleeha Qazi, Joseph Bockhorst, Mary Y. Morell, Katie J. Meissner, Glenn Fung |
| 2016 | ICMLA | Using Temporal Discovery and Data-Driven Journey-Maps to Predict Customer Satisfaction. | Joe Bockhorst, Yingjian Wang, Sukrat Gupta, Maleeha Qazi, Mingju Sun, Glenn Fung |
| 2012 | AMIA | Building Hospital-Specific Readmission Risk Prediction Models for Heart Failure, Acute Myocardial Infarction and Pneumonia patients. | Shipeng Yu, Faisal Farooq, Glenn Fung, Balaji Krishnapuram, Alexander Van Esbroeck, Vikram Anand |
| 2011 | ICML | Active Learning from Crowds. | Yan Yan, Rmer Rosales, Glenn Fung, Jennifer G. Dy |
| 2010 | ICML | From Transformation-Based Dimensionality Reduction to Feature Selection. | Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy |
| 2010 | KDD | Medical coding classification by leveraging inter-code relationships. | Yan Yan, Glenn Fung, Jennifer G. Dy, Rmer Rosales |
| 2010 | UAI | Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. | Yan Yan, Rmer Rosales, Glenn Fung, Jennifer G. Dy |
| 2010 | SDM | Convex Principal Feature Selection. | Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, Jennifer G. Dy |
| 2009 | ICMLA | Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data. | Andre Dekker, Cary Dehing-Oberije, Dirk De Ruysscher, Philippe Lambin, Kartik Komati, Glenn Fung, Shipeng Yu, Andrew Hope, Wilfried De Neve, Yolande Lievens |
| 2009 | IJCAI | Multi-Class Classifiers and their Underlying Shared Structure. | Volkan Vural, Glenn Fung, Rmer Rosales, Jennifer G. Dy |
| 2008 | AAAI | Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection. | Glenn Fung, Sriram Krishnan, R. Bharat Rao, Hui Chen |
| 2008 | CVPR | Structure learning in random fields for heart motion abnormality detection. | Mark Schmidt, Kevin P. Murphy, Glenn Fung, Rmer Rosales |
| 2008 | KDD | Privacy-preserving cox regression for survival analysis. | Shipeng Yu, Glenn Fung, Rmer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, Philippe Lambin |
| 2008 | SDM | On the Dangers of Cross-Validation. An Experimental Evaluation. | R. Bharat Rao, Glenn Fung |
| 2007 | ICMLA | Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer. | Glenn Fung, Renaud Seigneuric, Sriram Krishnan, R. Bharat Rao, Brad G. Wouters, Philippe Lambin |
| 2007 | IJCAI | Feature Selection and Kernel Design via Linear Programming. | Glenn Fung, Rmer Rosales, R. Bharat Rao |
| 2007 | IJCAI | Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks. | Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rmer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran |
| 2007 | KDD | LungCAD: a clinically approved, machine learning system for lung cancer detection. | R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salganicoff, Nancy Obuchowski, David P. Naidich |
| 2006 | KDD | Computer aided detection via asymmetric cascade of sparse hyperplane classifiers. | Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Toshiro Kubota, Glenn Fung, Marcos Salganicoff, R. Bharat Rao |
| 2006 | KDD | Learning sparse metrics via linear programming. | Rmer Rosales, Glenn Fung |
| 2005 | ICDM | Semi-Supervised Mixture of Kernels via LPBoost Methods. | Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao |
| 2005 | ICDM | SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information. | Jonathan Stoeckel, Glenn Fung |
| 2005 | ICMLA | Sparse classifiers for Automated HeartWall Motion Abnormality Detection. | Glenn Fung, Maleeha Qazi, Sriram Krishnan, Jinbo Bi, R. Bharat Rao, A. Katz |
| 2005 | KDD | Rule extraction from linear support vector machines. | Glenn Fung, Sathyakama Sandilya, R. Bharat Rao |
| 2005 | SDM | Sparse Fisher Discriminant Analysis for Computer Aided Detection. | Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao |
| 2004 | ICML | A fast iterative algorithm for fisher discriminant using heterogeneous kernels. | Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao |
| 2003 | COLT | Knowledge-Based Nonlinear Kernel Classifiers. | Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik |
| 2003 | Tapia | The disputed federalist papers: SVM feature selection via concave minimization. | Glenn Fung |
| 2002 | SDM | Incremental Support Vector Machine Classification. | Glenn Fung, Olvi L. Mangasarian |
| 2001 | KDD | Proximal support vector machine classifiers. | Glenn Fung, Olvi L. Mangasarian |
| 2000 | KDD | Data selection for support vector machine classifiers. | Glenn Fung, Olvi L. Mangasarian |