Automated Choreographer Synthesis for Web Services Composition Using I/O Automata. - Saayan Mitra; Ratnesh Kumar 001; Samik Basu 001 (ICWS, 2007)

Local and On-the-fly Choreography-based Web Service Composition. - Saayan Mitra; Samik Basu 001; Ratnesh Kumar 001 (Web Intelligence, 2007)

Optimum Decentralized Choreography for Web Services Composition. - Saayan Mitra; Ratnesh Kumar 001; Samik Basu 001 (IEEE SCC (2), 2008)

Using an Error Detection Strategy for Improving Web Accessibility for Older Adults. - Alfred Taylor Sr.; Les Miller; Sree Nilakanta; Jeffry D. Sander; Saayan Mitra; Anurag Sharda; Bachar Chama (ACHI, 2009)

A Framework for Optimal Decentralized Service-Choreography. - Saayan Mitra; Ratnesh Kumar 001; Samik Basu 001 (ICWS, 2009)

A partial encryption scheme for AVC video. - Viswanathan Swaminathan 001; Saayan Mitra (ESPA, 2012)

An optimal client buffer model for multiplexing HTTP streams. - Saayan Mitra; Viswanathan Swaminathan 001 (MMSP, 2012)

Designing a universal format for encrypted media. - Viswanathan Swaminathan 001; Saayan Mitra; Sheng Wei 001 (MMSP, 2013)

Online video session progress prediction using low-rank matrix completion. - Gang Wu 013; Viswanathan Swaminathan 001; Saayan Mitra; Ratnesh Kumar 001 (ICME Workshops, 2014)

A reliable buffered approach for measuring usage of web video. - Saayan Mitra; Viswanathan Swaminathan 001 (TEMU, 2014)

Digital content recommendation system using implicit feedback data. - Gang Wu 013; Viswanathan Swaminathan 001; Saayan Mitra; Ratnesh Kumar 001 (IEEE BigData, 2017)

Context-aware video recommendation based on session progress prediction. - Gang Wu 013; Viswanathan Swaminathan 001; Saayan Mitra; Ratnesh Kumar 001 (ICME, 2017)

Feature Selection for FM-Based Context-Aware Recommendation Systems. - Xueyu Mao 001; Saayan Mitra; Viswanathan Swaminathan 001 (ISM, 2017)

Personalized Video Recommendations for Shared Accounts. - Shuo Yang 004; Somdeb Sarkhel; Saayan Mitra; Viswanathan Swaminathan 001 (ISM, 2017)

Content-Based Effectiveness Prediction of Video Advertisements. - Qi Lou; Somdeb Sarkhel; Saayan Mitra; Viswanathan Swaminathan 001 (ISM, 2018)

A Scalable Data Augmentation and Training Pipeline for Logo Detection. - Han Guo; Viswanathan Swaminathan 001; Saayan Mitra (ISM, 2019)

Scalable Bid Landscape Forecasting in Real-Time Bidding. - Aritra Ghosh 001; Saayan Mitra; Somdeb Sarkhel; Jason Xie; Gang Wu 013; Viswanathan Swaminathan 001 (ECML/PKDD (3), 2019)

Training Streaming Factorization Machines with Alternating Least Squares. - Xueyu Mao 001; Saayan Mitra; Sheng Li 001 (SIGIR, 2019)

Scaling Dnn-Based Video Analysis By Coarse-Grained And Fine-Grained Parallelism. - Phanwadee Sinthong; Kanak Mahadik; Somdeb Sarkhel; Saayan Mitra (ICME, 2020)

Optimal Bidding Strategy without Exploration in Real-time Bidding. - Aritra Ghosh 001; Saayan Mitra; Somdeb Sarkhel; Viswanathan Swaminathan 001 (SDM, 2020)

Metadata Matters in User Engagement Prediction. - Xiang Chen; Saayan Mitra; Viswanathan Swaminathan 001 (SIGIR, 2020)

Open-Domain Trending Hashtag Recommendation for Videos. - Swapneel Mehta; Somdeb Sarkhel; Xiang Chen; Saayan Mitra; Viswanathan Swaminathan 001; Ryan A. Rossi; Ali Aminian; Han Guo; Kshitiz Garg (ISM, 2021)

BOhance: Bayesian Optimization for Content Enhancement. - Trisha Mittal; Vishy Swaminathan; Somdeb Sarkhel; Ritwik Sinha; David Arbour; Saayan Mitra; Dinesh Manocha (ISM, 2021)

DiPS: Differentiable Policy for Sketching in Recommender Systems. - Aritra Ghosh 001; Saayan Mitra; Andrew S. Lan (AAAI, 2022)

Collaborative Filtering Guided Deep Reinforcement Learning for Sequential Recommendations. - Vahid Azizi 005; Saayan Mitra; Xiang Chen (IEEE Big Data, 2022)

Contextualized Styling of Images for Web Interfaces using Reinforcement Learning. - Pooja Guhan; Saayan Mitra; Somdeb Sarkhel; Stefano Petrangeli; Ritwik Sinha; Viswanathan Swaminathan 001; Aniket Bera; Dinesh Manocha (ISM, 2022)

Towards Preserving Server-Side Privacy of On-Device Models. - Akanksha Atrey; Ritwik Sinha; Somdeb Sarkhel; Saayan Mitra; David Arbour; Akash Maharaj; Prashant J. Shenoy (WWW (Companion Volume), 2022)

Direct Inference of Effect of Treatment (DIET) for a Cookieless World. - Shiv Shankar; Ritwik Sinha; Saayan Mitra; Moumita Sinha; Madalina Fiterau (AISTATS, 2023)

Near Neighbor Search for Constraint Queries. - Gaurav Gupta; Anup B. Rao; Tung Mai; Ryan A. Rossi; Xiang Chen; Saayan Mitra; Anshumali Shrivastava (IEEE Big Data, 2023)

Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training. - Lianke Qin; Saayan Mitra; Zhao Song 002; Yuanyuan Yang 005; Tianyi Zhou 002 (IEEE Big Data, 2023)

Decentralized Personalized Online Federated Learning. - Renzhi Wu; Saayan Mitra; Xiang Chen; Anup B. Rao (IEEE Big Data, 2023)

Flash: Concept Drift Adaptation in Federated Learning. - Kunjal Panchal; Sunav Choudhary; Subrata Mitra; Koyel Mukherjee; Somdeb Sarkhel; Saayan Mitra; Hui Guan 001 (ICML, 2023)

SODA: Protecting Proprietary Information in On-Device Machine Learning Models. - Akanksha Atrey; Ritwik Sinha; Saayan Mitra; Prashant J. Shenoy (SEC, 2023)

Protecting Proprietary Information in on-Device Machine Learning Models. - Akanksha Atrey; Ritwik Sinha; Saayan Mitra; Prashant J. Shenoy (HotMobile, 2023)

Privacy Aware Experiments without Cookies. - Shiv Shankar; Ritwik Sinha; Saayan Mitra; Viswanathan (Vishy) Swaminathan; Sridhar Mahadevan; Moumita Sinha (WSDM, 2023)

Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information. - Zhengmian Hu; Gang Wu 013; Saayan Mitra; Ruiyi Zhang 002; Tong Sun 005; Heng Huang; Vishy Swaminathan (CoRR, 2023)

TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing. - Pooja Guhan; Uttaran Bhattacharya; Somdeb Sarkhel; Vahid Azizi 005; Xiang Chen; Saayan Mitra; Aniket Bera; Dinesh Manocha (ACL (Findings), 2024)

A/B testing under Interference with Partial Network Information. - Shiv Shankar; Ritwik Sinha; Yash Chandak; Saayan Mitra; Madalina Fiterau (AISTATS, 2024)

HanDiffuser: Text-to-Image Generation with Realistic Hand Appearances. - Supreeth Narasimhaswamy; Uttaran Bhattacharya; Xiang Chen; Ishita Dasgupta 002; Saayan Mitra; Minh Hoai (CVPR, 2024)

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. - Yuchen Zhuang; Xiang Chen; Tong Yu 001; Saayan Mitra; Victor S. Bursztyn; Ryan A. Rossi; Somdeb Sarkhel; Chao Zhang 014 (ICLR, 2024)

VISIAR: Empower MLLM for Visual Story Ideation. - Zhaoyang Xia; Somdeb Sarkhel; Md. Mehrab Tanjim; Stefano Petrangeli; Ishita Dasgupta 002; Yuxiao Chen 002; Jinxuan Xu; Di Liu 003; Saayan Mitra; Dimitris N. Metaxas (ACL (Findings), 2025)

Shape My Moves: Text-Driven Shape-Aware Synthesis of Human Motions. - Ting-Hsuan Liao; Yi Zhou; Yu Shen; Chun-Hao Paul Huang; Saayan Mitra; Jia-Bin Huang; Uttaran Bhattacharya (CVPR, 2025)

CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement. - Leitian Tao; Xiang Chen; Tong Yu 001; Tung Mai; Ryan A. Rossi; Yixuan Li 001; Saayan Mitra (Trans. Mach. Learn. Res., 2025)

Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants. - Md. Mehrab Tanjim; Xiang Chen; Victor S. Bursztyn; Uttaran Bhattacharya; Tung Mai; Vaishnavi Muppala; Akash Maharaj; Saayan Mitra; Eunyee Koh; Yunyao Li 001; Ken Russell (CoRR, 2025)

SKALD: Learning-Based Shot Assembly for Coherent Multi-Shot Video Creation. - Chen-Yi Lu; Md. Mehrab Tanjim; Ishita Dasgupta 002; Somdeb Sarkhel; Gang Wu 013; Saayan Mitra; Somali Chaterji (CoRR, 2025)

A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations. - Vijeta Deshpande; Ishita Dasgupta 002; Uttaran Bhattacharya; Somdeb Sarkhel; Saayan Mitra; Anna Rumshisky (CoRR, 2025)