| 2026 | AAAI | Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science. | Anuj Karpatne, Xiaowei Jia, Vipin Kumar |
| 2025 | COMSNETS | Standardization aspects of Authentication Relay Attack using False Base Station. | K. Sowjanya, Soumen Jana, Vipin Kumar, Dhiman Saha, Brejesh Lall |
| 2025 | ICDM | Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems. | Rahul Ghosh, Arvind Renganthan, Zac McEachran, Kelly Lindsay, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar |
| 2025 | KDD | KDD 2025 Panel on AI for Science. | Vipin Kumar, Yan Liu, Aidong Zhang |
| 2025 | KDD | AI and Science Day. | Aidong Zhang, Vipin Kumar, Yan Liu |
| 2025 | SDM | Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems. | Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar |
| 2024 | ICDM | ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. | Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu |
| 2024 | ICDM | Combining Self-Supervision and Privileged Information for Representation Learning from Tabular Data. | Haoyu Yang, Michael S. Steinbach, Genevieve B. Melton, Vipin Kumar, Gyrgy J. Simon |
| 2024 | SDM | Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. | Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar |
| 2024 | SDM | Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. | Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar |
| 2024 | SDM | Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. | Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar |
| 2024 | SDM | Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. | Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar |
| 2023 | ICDM | On Computing Paradigms - Where Will Large Language Models Be Going. | Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang |
| 2023 | ICDM | Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. | Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar |
| 2023 | SDM | Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. | Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar |
| 2023 | SDM | Probabilistic Inverse Modeling: An Application in Hydrology. | Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar |
| 2023 | SDM | Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. | Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar |
| 2022 | ICDM | Meta-Transfer Learning: An application to Streamflow modeling in River-streams. | Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia |
| 2022 | ISDA | Implementation Analysis for the Applications of Warehouse Model Under Linear Integer Problems. | Chhavi Gupta, Vipin Kumar, Kamal Kumar Gola |
| 2022 | KDD | Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. | Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar |
| 2022 | SDM | Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. | Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar |
| 2021 | SDM | Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. | Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar |
| 2020 | COLING | Model-agnostic Methods for Text Classification with Inherent Noise. | Kshitij Tayal, Rahul Ghosh, Vipin Kumar |
| 2020 | COLING | Regularized Graph Convolutional Networks for Short Text Classification. | Kshitij Tayal, Nikhil Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar |
| 2020 | IGARSS | Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. | Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar |
| 2020 | KDD | Personalized Image Retrieval with Sparse Graph Representation Learning. | Xiaowei Jia, Handong Zhao, Zhe Lin, Ajinkya Kale, Vipin Kumar |
| 2020 | KDD | Learning with Small Data. | Huaxiu Yao, Xiaowei Jia, Vipin Kumar, Zhenhui Li |
| 2020 | SDM | Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. | Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar |
| 2019 | IJCAI | Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring. | Xiaowei Jia, Mengdie Wang, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar |
| 2019 | IUI | An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. | Daniel Garijo, Deborah Khider, Varun Ratnakar, Yolanda Gil, Ewa Deelman, Rafael Ferreira da Silva, Craig A. Knoblock, Yao-Yi Chiang, Minh Pham, Jay Pujara, Binh Vu, Dan Feldman, Rajiv Mayani, Kelly M. Cobourn, Christopher J. Duffy, Armen R. Kemanian, Lele Shu, Vipin Kumar, Ankush Khandelwal, Kshitij Tayal, Scott D. Peckham, Maria Stoica, Anna Dabrowski, Daniel Hardesty-Lewis, Suzanne A. Pierce |
| 2019 | KDD | Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? | Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar |
| 2019 | SDM | Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. | Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar |
| 2019 | SDM | Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection. | Xiaowei Jia, Guruprasad Nayak, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar |
| 2019 | SDM | Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. | Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar |
| 2018 | SDM | Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns. | Guruprasad Nayak, Varun Mithal, Xiaowei Jia, Vipin Kumar |
| 2017 | KDD | Tripoles: A New Class of Relationships in Time Series Data. | Saurabh Agrawal, Gowtham Atluri, Anuj Karpatne, William Haltom, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar |
| 2017 | KDD | Incremental Dual-memory LSTM in Land Cover Prediction. | Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar |
| 2017 | KDD | Big Data in Climate: Opportunities and Challenges for Machine Learning. | Anuj Karpatne, Vipin Kumar |
| 2017 | SDM | Predict Land Covers with Transition Modeling and Incremental Learning. | Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar |
| 2016 | AAAI | Understanding Dominant Factors for Precipitation over the Great Lakes Region. | Soumyadeep Chatterjee, Stefan Liess, Arindam Banerjee, Vipin Kumar |
| 2016 | ADMA | Causality-Guided Feature Selection. | Mandar S. Chaudhary, Doel L. Gonzalez II, Gonzalo A. Bello, Michael P. Angus, Dhara Desai, Steve Harenberg, P. Murali Doraiswamy, Fredrick H. M. Semazzi, Vipin Kumar, Nagiza F. Samatova |
| 2016 | AMIA | Quantifying the Effect of Data Quality on the Correctness of an eMeasure. | Steven G. Johnson, Stuart M. Speedie, Gyrgy J. Simon, Vipin Kumar, Bonnie L. Westra |
| 2016 | SIGIR | Big Data in Climate: Opportunities and Challenges for Machine Learning. | Vipin Kumar |
| 2016 | SDM | A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise. | Xi C. Chen, Yuanshun Yao, Sichao Shi, Snigdhansu Chatterjee, Vipin Kumar, James H. Faghmous |
| 2015 | AMIA | Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach. | Sanjoy Dey, Katherine Hauwiller, Pranjul Yadav, Michael S. Steinbach, Gyrgy J. Simon, Vipin Kumar, Connie White-Delaney, Bonnie L. Westra |
| 2015 | AMIA | A Data Quality Ontology for the Secondary Use of EHR Data. | Steven G. Johnson, Stuart M. Speedie, Gyrgy J. Simon, Vipin Kumar, Bonnie L. Westra |
| 2015 | AMIA | Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities. | Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Kevin Schiroo, Sanjoy Dey, Gyrgy J. Simon, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra |
| 2015 | ICDM | Online Change Detection Algorithm for Noisy Time-Series: An Application Tonear-Real Time Burned Area Mapping. | Xi C. Chen, Vipin Kumar, James H. Faghmous |
| 2015 | ICDM | Adaptive Heterogeneous Ensemble Learning Using the Context of Test Instances. | Anuj Karpatne, Vipin Kumar |
| 2015 | ICDM | Building Predictive Models for Noisy and Heterogeneous Data: An Application in Global Monitoring of Inland Water Dynamics. | Anuj Karpatne, Vipin Kumar |
| 2015 | ICDM | Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances. | Ankush Khandelwal, Varun Mithal, Vipin Kumar |
| 2015 | ICDM | Forensic Style Analysis with Survival Trajectories. | Pranjul Yadav, Michael S. Steinbach, Lisiane Pruinelli, Bonnie L. Westra, Connie Delaney, Vipin Kumar, Gyrgy J. Simon |
| 2015 | IJCAI | Clustering Dynamic Spatio-Temporal Patterns in The Presence of Noise and Missing Data. | Xi C. Chen, James H. Faghmous, Ankush Khandelwal, Vipin Kumar |
| 2015 | SDM | Ensemble Learning Methods for Binary Classification with Multi-modality within the Classes. | Anuj Karpatne, Ankush Khandelwal, Vipin Kumar |
| 2015 | SDM | Rare Class Detection in Networks. | Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Vipin Kumar |
| 2015 | SDM | From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding. | Kai Zhang, Qiaojun Wang, Zhengzhang Chen, Ivan Marsic, Vipin Kumar, Guofei Jiang, Jie Zhang |
| 2015 | SRDS | Conflict Graph Based Channel Allocation in Cognitive Radio Networks. | Vinesh Teotia, Vipin Kumar, Sonajharia Minz |
| 2014 | AAAI | Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field. | James H. Faghmous, Hung Nguyen, Matthew Le, Vipin Kumar |
| 2014 | AMIA | Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities. | Lisiane Pruinelli, Sanjoy Dey, Gyrgy J. Simon, Pranjul Yadav, Andrew Hangsleben, Katherine Hauwiller, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra |
| 2014 | SDM | Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time. | Gowtham Atluri, Michael S. Steinbach, Kelvin O. Lim, Angus W. MacDonald III, Vipin Kumar |
| 2014 | SDM | Online Discovery of Group Level Events in Time Series. | Xi C. Chen, Abdullah Mueen, Vijay K. Narayanan, Nikos Karampatziakis, Gagan Bansal, Vipin Kumar |
| 2014 | SDM | Predictive Learning in the Presence of Heterogeneity and Limited Training Data. | Anuj Karpatne, Ankush Khandelwal, Shyam Boriah, Vipin Kumar |
| 2014 | SDM | Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. | Sanjoy Dey, Gyrgy J. Simon, Bonnie L. Westra, Michael S. Steinbach, Vipin Kumar |
| 2014 | SDM | Memory-efficient Query-driven Community Detection with Application to Complex Disease Associations. | Steve Harenberg, Ramona G. Seay, Stephen Ranshous, Kanchana Padmanabhan, Jitendra K. Harlalka, Eric R. Schendel, Michael P. O'Brien, Rada Chirkova, William Hendrix, Alok N. Choudhary, Vipin Kumar, Murali Doraiswamy, Nagiza F. Samatova |
| 2013 | AAAI | Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application. | James H. Faghmous, Muhammed Uluyol, Luke Styles, Matthew Le, Varun Mithal, Shyam Boriah, Vipin Kumar |
| 2013 | AMIA | Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care. | Sanjoy Dey, Jeremy Weed, Joanna Fakhoury, Jacob Cooner, Gyrgy J. Simon, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar |
| 2013 | ICDM | A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics. | James H. Faghmous, Matthew Le, Muhammed Uluyol, Vipin Kumar, Snigdhansu Chatterjee |
| 2013 | ICDM | Coupled Heterogeneous Association Rule Mining (CHARM): Application Toward Inference of Modulatory Climate Relationships. | Doel L. Gonzalez, Saurabh V. Pendse, Kanchana Padmanabhan, Michael P. Angus, Isaac K. Tetteh, Shashank Srinivas, Andrea Villanes, Fredrick H. M. Semazzi, Vipin Kumar, Nagiza F. Samatova |
| 2013 | ICDM | Detection of Precursors to Aviation Safety Incidents Due to Human Factors. | Igor Melnyk, Pranjul Yadav, Michael S. Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee |
| 2013 | SDM | Contextual Time Series Change Detection. | Xi C. Chen, Karsten Steinhaeuser, Shyam Boriah, Snigdhansu Chatterjee, Vipin Kumar |
| 2013 | SDM | Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change Mapping. | Shyam Boriah, Ankush Khandelwal, Vipin Kumar, Varun Mithal, Karsten Steinhaeuser |
| 2013 | SDM | Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships. | Zhengzhang Chen, Alok N. Choudhary, John Jenkins, Vipin Kumar, Anatoli V. Melechko, Jinfeng Rao, Nagiza F. Samatova, Fredrick H. M. Semazzi |
| 2012 | AAAI | A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring. | James H. Faghmous, Yashu Chamber, Shyam Boriah, Frode Vikeb, Stefan Liess, Michel dos Santos Mesquita, Vipin Kumar |
| 2012 | ICDM | Approximate Search on Massive Spatiotemporal Datasets. | Ivan Brugere, Karsten Steinhaeuser, Shyam Boriah, Vipin Kumar |
| 2012 | ICDM | Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis. | Doel L. Gonzalez, Zhengzhang Chen, Isaac K. Tetteh, Tatdow Pansombut, Fredrick H. M. Semazzi, Vipin Kumar, Anatoli V. Melechko, Nagiza F. Samatova |
| 2012 | ICDM | Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies. | Vanja Paunic, Michael S. Steinbach, Vipin Kumar, Martin Maiers |
| 2012 | IGARSS | Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes. | Debasish Das, Auroop R. Ganguly, Snigdhansu Chatterjee, Vipin Kumar, Zoran Obradovic |
| 2012 | KDD | Testing the significance of spatio-temporal teleconnection patterns. | Jaya Kawale, Snigdhansu Chatterjee, Dominick Ormsby, Karsten Steinhaeuser, Stefan Liess, Vipin Kumar |
| 2012 | TrustCom | On a Visual Secret Sharing Scheme with High Quality Decryption. | Vipin Kumar, Chirag Chetan, Aparajita Ojha |
| 2012 | SDM | Toward Data-driven, Semi-automatic Inference of Phenomenological Physical Models: Application to Eastern Sahel Rainfall. | Saurabh V. Pendse, Isaac K. Tetteh, Fredrick H. M. Semazzi, Vipin Kumar, Nagiza F. Samatova |
| 2011 | IJCAI | Classification of Emerging Extreme Event Tracks in Multivariate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction. | Huseyin Sencan, Zhengzhang Chen, William Hendrix, Tatdow Pansombut, Fredrick H. M. Semazzi, Alok N. Choudhary, Vipin Kumar, Anatoli V. Melechko, Nagiza F. Samatova |
| 2011 | IGARSS | Gopher: Global observation of Planetary Health and Ecosystem Resources. | Ashish Garg, Varun Mithal, Yashu Chamber, Ivan Brugere, Vijay Chaudhari, Marc Dunham, Vikrant Krishna, Sairam Krishnamurthy, Sruthi Vangala, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Albert Cho, J. D. Stanley, Teji Abraham, Juan Carlos Castilla-Rubio, Christopher Potter, Steven A. Klooster |
| 2011 | KDD | A simple statistical model and association rule filtering for classification. | Gyrgy J. Simon, Vipin Kumar, Peter W. Li |
| 2011 | PAKDD | Using Constraints to Generate and Explore Higher Order Discriminative Patterns. | Michael S. Steinbach, Haoyu Yu, Gang Fang, Vipin Kumar |
| 2011 | SDM | Discovering Dynamic Dipoles in Climate Data. | Jaya Kawale, Michael S. Steinbach, Vipin Kumar |
| 2010 | IGARSS | Automated detection of forest cover changes. | Shyam Boriah, Varun Mithal, Ashish Garg, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Juan Carlos Castilla-Rubio |
| 2010 | PAKDD | Discovery of Patterns in Global Earth Science Data Using Data Mining. | Vipin Kumar |
| 2010 | PSB | Subspace Differential Coexpression Analysis: Problem Definition and a General Approach. | Gang Fang, Rui Kuang, Gaurav Pandey, Michael S. Steinbach, Chad L. Myers, Vipin Kumar |
| 2009 | KDD | An association analysis approach to biclustering. | Gaurav Pandey, Gowtham Atluri, Michael S. Steinbach, Chad L. Myers, Vipin Kumar |
| 2009 | SDM | A Framework for Exploring Categorical Data. | Varun Chandola, Shyam Boriah, Vipin Kumar |
| 2008 | ICDM | Comparative Evaluation of Anomaly Detection Techniques for Sequence Data. | Varun Chandola, Varun Mithal, Vipin Kumar |
| 2008 | KDD | Land cover change detection: a case study. | Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster |
| 2008 | KDD | Quantitative evaluation of approximate frequent pattern mining algorithms. | Rohit Gupta, Gang Fang, Blayne Field, Michael S. Steinbach, Vipin Kumar |
| 2008 | KDD | Semi-supervised approach to rapid and reliable labeling of large data sets. | Gyrgy J. Simon, Vipin Kumar, Zhi-Li Zhang |
| 2008 | SDM | Similarity Measures for Categorical Data: A Comparative Evaluation. | Shyam Boriah, Varun Chandola, Vipin Kumar |
| 2007 | HiPC | High Performance Data Mining - Application for Discovery of Patterns in the Global Climate System. | Vipin Kumar |
| 2007 | ICCS | DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing. | Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric Eilertson, Levent Ertz, Gyrgy J. Simon, Seonho Kim, Jinoh Kim |
| 2007 | KDD | Association analysis-based transformations for protein interaction networks: a function prediction case study. | Gaurav Pandey, Michael S. Steinbach, Rohit Gupta, Tushar Garg, Vipin Kumar |
| 2007 | SDM | Estimating False Negatives for Classification Problems with Cluster Structure. | Gyrgy J. Simon, Vipin Kumar, Zhi-Li Zhang |
| 2006 | ICDM | Privacy Preserving Nearest Neighbor Search. | Mark Shaneck, Yongdae Kim, Vipin Kumar |
| 2006 | ICWE | Divide and conquer approach for efficient pagerank computation. | Prasanna Kumar Desikan, Nishith Pathak, Jaideep Srivastava, Vipin Kumar |
| 2006 | SDM | Scan Detection: A Data Mining Approach. | Gyrgy J. Simon, Hui Xiong, Eric Eilertson, Vipin Kumar |
| 2005 | AMIA | Feature Mining for Prediction of Degree of Liver Fibrosis. | Benjamin W. Mayer, Huzefa Rangwala, Rohit Gupta, Jaideep Srivastava, George Karypis, Vipin Kumar, Piet C. de Groen |
| 2005 | CIKM | Privacy leakage in multi-relational databases via pattern based semi-supervised learning. | Hui Xiong, Michael S. Steinbach, Vipin Kumar |
| 2005 | ICDM | Summarization - Compressing Data into an Informative Representation. | Varun Chandola, Vipin Kumar |
| 2005 | ICDM | Generalizing the Notion of Confidence. | Michael S. Steinbach, Vipin Kumar |
| 2005 | KDD | Feature bagging for outlier detection. | Aleksandar Lazarevic, Vipin Kumar |
| 2005 | PSB | Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery. | Hui Xiong, Xiaofeng He, Chris H. Q. Ding, Ya Zhang, Vipin Kumar, Stephen R. Holbrook |
| 2005 | WWW | Incremental page rank computation on evolving graphs. | Prasanna Kumar Desikan, Nishith Pathak, Jaideep Srivastava, Vipin Kumar |
| 2004 | KDD | Support envelopes: a technique for exploring the structure of association patterns. | Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar |
| 2004 | KDD | Generalizing the notion of support. | Michael S. Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar |
| 2004 | KDD | Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs. | Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar |
| 2004 | KDD | IDR/QR: an incremental dimension reduction algorithm via QR decomposition. | Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar |
| 2004 | SDM | CREDOS: Classification Using Ripple Down Structure (A Case for Rare Classes). | Mahesh V. Joshi, Vipin Kumar |
| 2004 | SDM | RBA: An Integrated Framework for Regression based on Association Rules. | Aysel Ozgur, Pang-Ning Tan, Vipin Kumar |
| 2004 | SDM | A Framework for Discovering Co-Location Patterns in Data Sets with Extended Spatial Objects. | Hui Xiong, Shashi Shekhar, Yan Huang, Vipin Kumar, Xiaobin Ma, Jin Soung Yoo |
| 2004 | SDM | HICAP: Hierarchical Clustering with Pattern Preservation. | Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar |
| 2003 | FlAIRS | Optimizing F-Measure with Support Vector Machines. | David R. Musicant, Vipin Kumar, Aysel Ozgur |
| 2003 | ICDM | Localized Prediction of Continuous Target Variables Using Hierarchical Clustering. | Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath, Vipin Kumar, Kumar K. Tamma |
| 2003 | ICDM | Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution. | Hui Xiong, Pang-Ning Tan, Vipin Kumar |
| 2003 | KDD | Discovery of climate indices using clustering. | Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter |
| 2003 | PAKDD | A New Clustering Algorithm for Transaction Data via Caucus. | Jinmei Xu, Hui Xiong, Sam Yuan Sung, Vipin Kumar |
| 2003 | PAKDD | Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach. | Pusheng Zhang, Yan Huang, Shashi Shekhar, Vipin Kumar |
| 2003 | WWW | Usage Aware PageRank. | B. Uygar Oztekin, Levent Ertz, Vipin Kumar |
| 2003 | SDM | Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data. | Levent Ertz, Michael S. Steinbach, Vipin Kumar |
| 2003 | SDM | A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection. | Aleksandar Lazarevic, Levent Ertz, Vipin Kumar, Aysel Ozgur, Jaideep Srivastava |
| 2002 | EuroPar | Applications on High Performance Computers. | Vipin Kumar, Franz-Josef Pfreundt, Hans Burkhard, Jos M. Laginha M. Palma |
| 2002 | KDD | Predicting rare classes: can boosting make any weak learner strong? | Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar |
| 2002 | KDD | Selecting the right interestingness measure for association patterns. | Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava |
| 2002 | WWW | Expert agreement and content based reranking in a meta search environment using Mearf. | B. Uygar Oztekin, George Karypis, Vipin Kumar |
| 2001 | CLUSTER | Graph Partitioning for Dynamic, Adaptive and Multi-phase Scientific Simulations. | Kirk Schloegel, George Karypis, Vipin Kumar |
| 2001 | ICCS | Architecture Independent Analysis of Parallel Programs. | Ananth Grama, Vipin Kumar, Sanjay Ranka, Vineet Singh |
| 2001 | ICDM | Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements. | Mahesh V. Joshi, Vipin Kumar, Ramesh C. Agarwal |
| 2001 | KDD | Mining Indirect Associations in Web Data. | Pang-Ning Tan, Vipin Kumar |
| 2001 | PAKDD | Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification. | Eui-Hong Han, George Karypis, Vipin Kumar |
| 2001 | SIGMOD | Mining Needle in a Haystack: Classifying Rare Classes via Two-phase Rule Induction. | Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar |
| 2000 | EuroPar | Memory Management Techniques for Gang Scheduling. | William Leinberger, George Karypis, Vipin Kumar |
| 2000 | EuroPar | Parallel Multilevel Algorithms for Multi-constraint Graph Partitioning (Distinguished Paper). | Kirk Schloegel, George Karypis, Vipin Kumar |
| 2000 | HCW | Load Balancing Across Near-Homogeneous Multi-Resource Servers. | William Leinberger, George Karypis, Vipin Kumar |
| 2000 | KDD | Distributed and parallel knowledge discovery (workshop session - title only). | Hillol Kargupta, Philip Chan, Vipin Kumar, Zoran Obradovic |
| 2000 | KDD | High performance data mining (tutorial PM-3). | Vipin Kumar, Mohammed J. Zaki |
| 2000 | SC | A Unified Algorithm for Load-balancing Adaptive Scientific Simulations. | Kirk Schloegel, George Karypis, Vipin Kumar |
| 1999 | DAC | Multilevel | George Karypis, Vipin Kumar |
| 1999 | EuroPar | A New Algorithm for Multi-objective Graph Partitioning. | Kirk Schloegel, George Karypis, Vipin Kumar |
| 1999 | HiPC | High Performance Data Mining. | Vipin Kumar, Jaideep Srivastava |
| 1999 | ICPP | Multi-Capacity Bin Packing Algorithms with Applications to Job Scheduling under Multiple Constraints. | William Leinberger, George Karypis, Vipin Kumar |
| 1999 | KDD | Efficient Parallel Algorithms for Mining Associations. | Mahesh V. Joshi, Eui-Hong Han, George Karypis, Vipin Kumar |
| 1999 | SC | Job Scheduling in the presence of Multiple Resource Requirements. | William Leinberger, George Karypis, Vipin Kumar |
| 1998 | ICPP | Parallel Formulations of Decision-Tree Classification Algorithms. | Anurag Srivastava, Eui-Hong Han, Vipin Kumar, Vineet Singh |
| 1998 | SC | Multilevel Algorithms for Multi-Constraint Graph Partitioning. | George Karypis, Vipin Kumar |
| 1998 | SC | Dynamic Repartitioning of Adaptively Refined Meshes. | Kirk Schloegel, George Karypis, Vipin Kumar |
| 1998 | SRDS | Load Balancing of Dynamic and Adaptive Mesh-Based Computations. | Kirk Schloegel, George Karypis, Vipin Kumar |
| 1997 | DAC | Multilevel Hypergraph Partitioning: Application in VLSI Domain. | George Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar |
| 1997 | EuroPar | Repartitioning of Adaptive Meshes: Experiments with Multilevel Diffusion. | Kirk Schloegel, George Karypis, Vipin Kumar |
| 1997 | HiPC | A high performance two dimensional scalable parallel algorithm for solving sparse triangular systems. | Mahesh V. Joshi, Anshul Gupta, George Karypis, Vipin Kumar |
| 1997 | SC | Parallel Threshold-based ILU Factorization. | George Karypis, Vipin Kumar |
| 1997 | SIGMOD | Scalable Parallel Data Mining for Association Rules. | Eui-Hong Han, George Karypis, Vipin Kumar |
| 1996 | SC | Parallel Hierarchical Solvers and Preconditioners for Boundary Element Methods. | Ananth Grama, Vipin Kumar, Ahmed H. Sameh |
| 1996 | SC | Parallel Multilevel k-way Partitioning Scheme for Irregular Graphs. | George Karypis, Vipin Kumar |
| 1995 | ICPP | Multilevel Graph Partitioning Schemes. | George Karypis, Vipin Kumar |
| 1995 | ICRA | A parallel Formulation of Informed Randomized Search for Robot Motion Planning Problems. | Daniel J. Challou, Daniel Boley, Maria L. Gini, Vipin Kumar |
| 1995 | SC | Parallel Matrix-Vector Product Using Approximate Hierarchical Methods. | Ananth Grama, Vipin Kumar, Ahmed H. Sameh |
| 1995 | SC | Parallel Algorithms for Forward and Back Substitution in Direct Solution of Sparse Linear Systems. | Anshul Gupta, Vipin Kumar |
| 1995 | SC | Analysis of Multilevel Graph Partitioning. | George Karypis, Vipin Kumar |
| 1994 | SC | Scalable parallel formulations of the Barnes-Hut method for | Ananth Grama, Vipin Kumar, Ahmed H. Sameh |
| 1994 | SC | A scalable parallel algorithm for sparse Cholesky factorization. | Anshul Gupta, Vipin Kumar |
| 1994 | SC | A parallel formulation of interior point algorithms. | George Karypis, Anshul Gupta, Vipin Kumar |
| 1993 | ICPP | Scalability of Parallel Algorithms for Matrix Multiplication. | Anshul Gupta, Vipin Kumar |
| 1993 | ICRA | Parallel Search Algorithms for Robot Motion Planning. | Daniel J. Challou, Maria L. Gini, Vipin Kumar |
| 1992 | SC | Scalability Analysis of Partitioning Strategies for Finite Element Graphs: A Summary of Results. | Ananth Grama, Vipin Kumar |
| 1992 | SC | Unstructured Tree Search on SIMD Parallel Computers: A Summary of Results. | George Karypis, Vipin Kumar |
| 1991 | AAAI | Depth-First Versus Best-First Search. | Nageshwara Rao Vempaty, Vipin Kumar, Richard E. Korf |
| 1991 | ICS | Analysis of scalability of parallel algorithms and architectures: a survey. | Vipin Kumar, Anshul Gupta |
| 1990 | ICPP | Scalability of Parallel Algorithms for the All-Pairs Shortest Path Problem: A Summary of Results. | Vipin Kumar, Vineet Singh |
| 1989 | ICCD | Floorplan optimization on multiprocessors. | Sunil Arvindam, Vipin Kumar, V. Nageshwara Rao |
| 1988 | AAAI | Parallel Best-First Search of State-Space Graphs: A Summary of Results. | Vipin Kumar, K. Ramesh, V. Nageshwara Rao |
| 1988 | ICLP | AND-Parallel Execution of Logic Programs on a Shared Memory Multiprocessor: A Summary of Results. | Yow-Jian Lin, Vipin Kumar |
| 1987 | AAAI | A Parallel Implementation of Iterative-Deepening-A*. | V. Nageshwara Rao, Vipin Kumar, K. Ramesh |
| 1986 | ICLP | An Intelligent Backtracking Algorithm for Parallel Execution of Logic Programs. | Yow-Jian Lin, Vipin Kumar, Clement H. C. Leung |
| 1986 | ICPP | A Parallel Execution Scheme for Exploiting and Parallelism of Logic Programs. | Vipin Kumar, Yow-Jian Lin |
| 1984 | AAAI | A General Bottom-up Procedure for Searching And/Or Graphs. | Vipin Kumar |
| 1983 | AAAI | The Composite Decision Process: A Unifying Formulation for Heuristic Search, Dynamic Programming and Branch & Bound Procedures. | Vipin Kumar, Laveen N. Kanal |
| 1982 | AAAI | A General Paradigm for A.I. Search Procedures. | Dana S. Nau, Vipin Kumar, Laveen N. Kanal |
| 1981 | IJCAI | Branch & Bound Formulation for Sequential and Parallel Game Tree Searching: Preliminary Results. | Laveen N. Kanal, Vipin Kumar |