| 2023 | WSDM | Incorporating Fairness in Large Scale NLU Systems. | Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan |
| 2016 | RecSys | News Recommendations at scale at Bloomberg Media: Challenges and Approaches. | Dhaval Shah, Pramod Koneru, Parth Shah, Rohit Parimi |
| 2015 | AAAI | Leveraging Multiple Networks for Author Personalization. | Rohit Parimi, Doina Caragea |
| 2015 | BigData | How to Choose a Recommender System: Insights and Experiences for Large-Scale User Personalization. | Rohit Parimi, Toma Trepka, Doina Caragea, Cody Bennett |
| 2014 | ICDM | Community Detection on Large Graph Datasets for Recommender Systems. | Rohit Parimi, Doina Caragea |
| 2011 | PAKDD | Predicting Friendship Links in Social Networks Using a Topic Modeling Approach. | Rohit Parimi, Doina Caragea |
| 2007 | ICNC | A New Approach of Integrating PSO & Improved GA for Clustering with Parallel and Transitional Technique. | Suresh Chandra Satapathy, Venkatesh Katari, Rohit Parimi, Satish Malireddi, V. N. K. Srujan K., Bijan Bihari Misra, J. V. R. Murthy |