| 2025 | ACL | Reinforcement Learning for Adversarial Query Generation to Enhance Relevance in Cold-Start Product Search. | Akshay Jagatap, Neeraj Anand, Sonali Singh, Prakash Mandayam Comar |
| 2025 | COLING | In-Context Reinforcement Learning with Retrieval-Augmented Generation for Text-to-SQL. | Rishit Toteja, Arindam Sarkar, Prakash Mandayam Comar |
| 2025 | ECIR | Evaluating Auto-complete Ranking for Diversity and Relevance. | Sonali Singh, Sachin Farfade, Prakash Mandayam Comar |
| 2025 | NAACL | RxLens: Multi-Agent LLM-powered Scan and Order for Pharmacy. | Akshay Jagatap, Srujana Merugu, Prakash Mandayam Comar |
| 2024 | ECIR | GLAD: Graph-Based Long-Term Attentive Dynamic Memory for Sequential Recommendation. | Deepanshu Pandey, Arindam Sarkar, Prakash Mandayam Comar |
| 2024 | EMNLP | DiAL : Diversity Aware Listwise Ranking for Query Auto-Complete. | Sonali Singh, Sachin Farfade, Prakash Mandayam Comar |
| 2024 | WWW | Improving Search for New Product Categories via Synthetic Query Generation Strategies. | Akshay Jagatap, Srujana Merugu, Prakash Mandayam Comar |
| 2023 | CIKM | TrendSpotter: Forecasting E-commerce Product Trends. | Gayatri Ryali, Shreyas S, Sivaramakrishnan Kaveri, Prakash Mandayam Comar |
| 2023 | CIKM | Adversarial Density Ratio Estimation for Change Point Detection. | Shreyas S, Prakash Mandayam Comar, Sivaramakrishnan Kaveri |
| 2023 | WWW | Multi-Objective Ranking to Boost Navigational Suggestions in eCommerce AutoComplete. | Sonali Singh, Sachin Farfade, Prakash Mandayam Comar |
| 2023 | SIGIR | AttriBERT - Session-based Product Attribute Recommendation with BERT. | Akshay Jagatap, Nikki Gupta, Sachin Farfade, Prakash Mandayam Comar |
| 2022 | RecSys | Dual Attentional Higher Order Factorization Machines. | Arindam Sarkar, Dipankar Das, Vivek Sembium, Prakash Mandayam Comar |
| 2017 | CIKM | Intent Based Relevance Estimation from Click Logs. | Prakash Mandayam Comar, Srinivasan H. Sengamedu |
| 2016 | IJCNN | Crowdsourcing of network data. | Ding Wang, Prakash Mandayam Comar, Pang-Ning Tan |
| 2013 | INFOCOM | Combining supervised and unsupervised learning for zero-day malware detection. | Prakash Mandayam Comar, Lei Liu, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci |
| 2013 | SDM | Missing or Inapplicable: Treatment of Incomplete Continuous-valued Features in Supervised Learning. | Lei Liu, Prakash Mandayam Comar, Antonio Nucci, Sabyasachi Saha, Pang-Ning Tan |
| 2012 | CIKM | Weighted linear kernel with tree transformed features for malware detection. | Prakash Mandayam Comar, Lei Liu, Sabyasachi Saha, Antonio Nucci, Pang-Ning Tan |
| 2012 | ICPR | Recursive NMF: Efficient label tree learning for large multi-class problems. | Lei Liu, Prakash Mandayam Comar, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci |
| 2011 | ICDM | LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction. | Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain |
| 2010 | CIKM | Multi task learning on multiple related networks. | Prakash Mandayam Comar, Pang-Ning Tan, Anil Kumar Jain |