Multi task learning on multiple related networks. - Prakash Mandayam Comar; Pang-Ning Tan; Anil Kumar Jain (CIKM, 2010)

Identifying Cohesive Subgroups and Their Correspondences in Multiple Related Networks. - Prakash Mandayam Comar; Pang-Ning Tan; Anil Kumar Jain (Web Intelligence, 2010)

LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction. - Prakash Mandayam Comar; Pang-Ning Tan; Anil K. Jain 001 (ICDM, 2011)

Weighted linear kernel with tree transformed features for malware detection. - Prakash Mandayam Comar; Lei Liu; Sabyasachi Saha; Antonio Nucci; Pang-Ning Tan (CIKM, 2012)

Recursive NMF: Efficient label tree learning for large multi-class problems. - Lei Liu; Prakash Mandayam Comar; Sabyasachi Saha; Pang-Ning Tan; Antonio Nucci (ICPR, 2012)

Simultaneous classification and community detection on heterogeneous network data. - Prakash Mandayam Comar; Pang-Ning Tan; Anil K. Jain 001 (Data Min. Knowl. Discov., 2012)

A framework for joint community detection across multiple related networks. - Prakash Mandayam Comar; Pang-Ning Tan; Anil K. Jain 001 (Neurocomputing, 2012)

Community detection by popularity based models for authored networked data. - Tianbao Yang; Prakash Mandayam Comar; Linli Xu (ASONAM, 2013)

Combining supervised and unsupervised learning for zero-day malware detection. - Prakash Mandayam Comar; Lei Liu; Sabyasachi Saha; Pang-Ning Tan; Antonio Nucci (INFOCOM, 2013)

Missing or Inapplicable: Treatment of Incomplete Continuous-valued Features in Supervised Learning. - Lei Liu; Prakash Mandayam Comar; Antonio Nucci; Sabyasachi Saha; Pang-Ning Tan (SDM, 2013)

Crowdsourcing of network data. - Ding Wang; Prakash Mandayam Comar; Pang-Ning Tan (IJCNN, 2016)

Intent Based Relevance Estimation from Click Logs. - Prakash Mandayam Comar; Srinivasan H. Sengamedu (CIKM, 2017)

Dual Attentional Higher Order Factorization Machines. - Arindam Sarkar; Dipankar Das; Vivek Sembium; Prakash Mandayam Comar (RecSys, 2022)

Quantifying customer interactions on ML optimized page layouts. - Nikki Gupta; Prakash Mandayam Comar (ASONAM, 2023)

TrendSpotter: Forecasting E-commerce Product Trends. - Gayatri Ryali; Shreyas S; Sivaramakrishnan Kaveri; Prakash Mandayam Comar (CIKM, 2023)

Adversarial Density Ratio Estimation for Change Point Detection. - Shreyas S; Prakash Mandayam Comar; Sivaramakrishnan Kaveri (CIKM, 2023)

AttriBERT - Session-based Product Attribute Recommendation with BERT. - Akshay Jagatap; Nikki Gupta; Sachin Farfade; Prakash Mandayam Comar (SIGIR, 2023)

Multi-Objective Ranking to Boost Navigational Suggestions in eCommerce AutoComplete. - Sonali Singh; Sachin Farfade; Prakash Mandayam Comar (WWW (Companion Volume), 2023)

GLAD: Graph-Based Long-Term Attentive Dynamic Memory for Sequential Recommendation. - Deepanshu Pandey; Arindam Sarkar; Prakash Mandayam Comar (ECIR (3), 2024)

DiAL : Diversity Aware Listwise Ranking for Query Auto-Complete. - Sonali Singh; Sachin Farfade; Prakash Mandayam Comar (EMNLP (Industry Track), 2024)

Improving Search for New Product Categories via Synthetic Query Generation Strategies. - Akshay Jagatap; Srujana Merugu; Prakash Mandayam Comar (WWW (Companion Volume), 2024)

In-Context Reinforcement Learning with Retrieval-Augmented Generation for Text-to-SQL. - Rishit Toteja; Arindam Sarkar; Prakash Mandayam Comar (COLING, 2025)

Evaluating Auto-complete Ranking for Diversity and Relevance. - Sonali Singh; Sachin Farfade; Prakash Mandayam Comar (ECIR (1), 2025)

RxLens: Multi-Agent LLM-powered Scan and Order for Pharmacy. - Akshay Jagatap; Srujana Merugu; Prakash Mandayam Comar (NAACL (Industry Track), 2025)