| 2024 | CIT | An Efficient Model for WSN Emerging Applications Using Machine Learning. | Sunil Kumar Gupta, Priyanshu Sinha, Sohan Kumar Yadav, Praveen Kumar Sahu, Tiansheng Yang, Shiv Prakash, Rajkumar Singh Rathore |
| 2016 | ICDM | Budgeted Batch Bayesian Optimization. | Vu Nguyen, Santu Rana, Sunil Kumar Gupta, Cheng Li, Svetha Venkatesh |
| 2016 | PAKDD | Flexible Transfer Learning Framework for Bayesian Optimisation. | Tinu Theckel Joy, Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh |
| 2015 | DSAA | Exploiting feature relationships towards stable feature selection. | Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh |
| 2015 | ICDM | Differentially Private Random Forest with High Utility. | Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh |
| 2015 | PAKDD | Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning. | Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh |
| 2015 | PAKDD | Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach. | Budhaditya Saha, Sunil Kumar Gupta, Svetha Venkatesh |
| 2014 | PAKDD | Intervention-Driven Predictive Framework for Modeling Healthcare Data. | Santu Rana, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh |
| 2014 | SDM | Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions. | Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh |
| 2013 | ICML | Factorial Multi-Task Learning : A Bayesian Nonparametric Approach. | Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh |
| 2012 | ICPR | A nonparametric Bayesian Poisson gamma model for count data. | Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh |
| 2012 | UAI | A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning. | Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh |
| 2012 | SDM | A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data Sources. | Sunil Kumar Gupta, Dinh Quoc Phung, Svetha Venkatesh |
| 2011 | PAKDD | A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources. | Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Svetha Venkatesh |
| 2010 | KDD | Nonnegative shared subspace learning and its application to social media retrieval. | Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh |