CR-precis: A Deterministic Summary Structure for Update Data Streams. - Sumit Ganguly; Anirban Majumder (ESCAPE, 2007)

Augmenting handset capacity through virtual storage. - Supratim Deb; Ankur Jain; Anirban Majumder; K. V. M. Naidu; Jeyashankher Ramamirtham; Rajeev Rastogi; Anand Srinivasan (Bell Labs Tech. J., 2007)

Mining (Social) Network Graphs to Detect Random Link Attacks. - Nisheeth Shrivastava; Anirban Majumder; Rajeev Rastogi (ICDE, 2008)

Scalable regular expression matching on data streams. - Anirban Majumder; Rajeev Rastogi; Sriram Vanama (SIGMOD Conference, 2008)

Deterministic K-set structure. - Sumit Ganguly; Anirban Majumder (Inf. Process. Lett., 2008)

Scalable Content-Based Routing in Pub/Sub Systems. - Anirban Majumder; Nisheeth Shrivastava; Rajeev Rastogi; Anand Srinivasan (INFOCOM, 2009)

mango: low-cost, scalable delivery of rich content on mobiles. - Ankur Jain; Sharad Jaiswal; Anirban Majumder; K. V. M. Naidu; Girija J. Narlikar; Nisheeth Shrivastava; Viswanath Poosala (MobiHeld, 2009)

Viral Marketing for Multiple Products. - Samik Datta; Anirban Majumder; Nisheeth Shrivastava (ICDM, 2010)

mango: Low-cost, scalable delivery of rich content on mobile devices. - Sharad Jaiswal; Anirban Majumder; K. V. M. Naidu; Girija J. Narlikar; Viswanath Poosala; Nisheeth Shrivastava; Ankur Jain (Bell Labs Tech. J., 2011)

Capacitated team formation problem on social networks. - Anirban Majumder; Samik Datta; K. V. M. Naidu (KDD, 2012)

LifeView: a lifelog visualization tool for supporting sentimental recall and sharing. - Akhil Mathur; Anirban Majumder; Samik Datta; Sreedal Menon; Shipra Malhotra; Ankur Dahiya (OZCHI, 2012)

Bulk content delivery using co-operating end-nodes with upload/download limits. - Sharad Jaiswal; Anirban Majumder; K. V. M. Naidu; Nisheeth Shrivastava (COMSNETS, 2013)

Know your personalization: learning topic level personalization in online services. - Anirban Majumder; Nisheeth Shrivastava (WWW, 2013)

Automated Assistance in E-commerce: An Approach Based on Category-Sensitive Retrieval. - Anirban Majumder; Abhay Pande; Kondalarao Vonteru; Abhishek Gangwar; Subhadeep Maji; Pankaj Bhatia; Pawan Goyal 002 (ECIR, 2018)

Deep Embedding of Conversation Segments. - Abir Chakraborty; Anirban Majumder (ICON, 2021)

In-memory realization of SHA-2 using ReVAMP architecture. - Debjyoti Bhattacharjee; Anirban Majumder; Anupam Chattopadhyay (VLSID, 2021)

MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments. - Abhirup Mondal; Anirban Majumder; Vineet Chaoji (CIKM, 2022)

ASPIRE: Air Shipping Recommendation for E-commerce Products via Causal Inference Framework. - Abhirup Mondal; Anirban Majumder; Vineet Chaoji (KDD, 2022)

Solar: Science of Entity Loss Attribution. - Anshuman Mourya; Prateek Sircar; Anirban Majumder; Deepak Gupta (KDD, 2022)

Future aware Dynamic Thermal Management in CPU-GPU Embedded Platforms. - Srijeeta Maity; Rudrajyoti Roy; Anirban Majumder; Soumyajit Dey; Ashish R. Hota (RTSS, 2022)

PRODIGY: Product Design Guidance at Scale. - Sambeet Tiady; Anirban Majumder; Deepak Gupta (CIKM, 2023)

PROTEGE: Prompt-based Diverse Question Generation from Web Articles. - Vinayak Puranik; Anirban Majumder; Vineet Chaoji (EMNLP (Findings), 2023)

Adaptive CUSUM-Based Residue Analysis for Stealthy Attack Detection in Cyber-Physical Systems. - Akash Bhattacharya; Sunandan Adhikary; Ipsita Koley; Anirban Majumder; Soumyajit Dey (ICCPS, 2023)

Modelling Delayed Redemption with Importance Sampling and Pre-Redemption Engagement. - Samik Datta; Anshuman Mourya; Anirban Majumder; Vineet Chaoji (KDD, 2023)

Building Natural Language Interface for Product Search. - Vijit Malik; Vinayak Puranik; Anirban Majumder; Vivek Sembium (CIKM, 2024)

PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents. - Vijit Malik; Akshay Jagatap; Vinayak Puranik; Anirban Majumder (EMNLP (Industry Track), 2024)

MARec: Metadata Alignment for cold-start Recommendation. - Julien Monteil; Volodymyr Vaskovych; Wentao Lu; Anirban Majumder; Anton van den Hengel (RecSys, 2024)

Predictive Relevance Uncertainty for Recommendation Systems. - Charul Paliwal; Anirban Majumder; Sivaramakrishnan Kaveri (WWW, 2024)

DetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection. - Joymallya Chakraborty; Wei Xia; Anirban Majumder; Dan Ma; Walid Chaabene; Naveed Janvekar (CoRR, 2024)

Harnessing Machine Learning in Dynamic Thermal Management in Embedded CPU-GPU Platforms. - Srijeeta Maity; Anirban Majumder; Rudrajyoti Roy; Ashish R. Hota; Soumyajit Dey (ACM Trans. Design Autom. Electr. Syst., 2025)

A Comprehensive Review on Harnessing Large Language Models to Overcome Recommender System Challenges. - Rahul Raja; Anshaj Vats; Arpita Vats; Anirban Majumder (CoRR, 2025)