Saayan Mitra

Saayan is a Principal Research Scientist at Adobe Research, who currently focuses on harnessing the power of Large Language Models to build AI Assistants for Adobe’s products. His research is also involved in how to use contextual and behavioral data effectively for improving content. In the past, he has worked in the domain of recommendations and advertising. He has worked on multiple projects involving media formats, streaming and content protection as well. He received his PhD from Iowa State University in 2009, and has been a member of Adobe Research since then.

AI & Machine Learning Content Intelligence Intelligent Agents & Assistants

Publications

July 6, 2026 ICML 2026

An Interactive Paradigm for Deep Research

Lin Ai, Victor S. Bursztyn, Xiang Chen, Julia Hirschberg, Saayan Mitra

July 5, 2026 ACL 2026

TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems

Jiale Liu, Victor S. Bursztyn, Lin Ai, Haoliang Wang, Sunav Choudhary, Saayan Mitra, Qingyun Wu

April 4, 2026 ACM Multimedia Systems Conference (MMSys 2026)

Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse

Kunjal Panchal, Saayan Mitra, Somdeb Sarkhel, Haoliang Wang, Ishita Dasgupta, Gang Wu, Hui Guan

August 3, 2025 ACL 2025

VISIAR: Empower MLLM for Visual Story Ideation

zhaoyang xia, Somdeb Sarkhel, Mehrab Tanjim, Stefano Petrangeli, Ishita Dasgupta, Saayan Mitra

June 13, 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 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

March 5, 2025 ICLR Workshop on Building Trust in Language Models and Applications

Token-level adversarial prompt detection based on perplexity measures and contextual information

Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Vishy Swaminathan

February 1, 2025 arXiv

Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants

Mehrab Tanjim, Xiang Chen, Victor S. Bursztyn, Uttaran Bhattacharya, Tung Mai, Vaishnavi Muppala, Akash Maharaj, Saayan Mitra, Eunyee Koh, Yunyao Li, Ken Russell

November 7, 2024 Arxiv

CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement

Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra

August 16, 2024 The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024

TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing

Pooja Guhan, Uttaran Bhattacharya, Somdeb Sarkhel, Vahid Azizi, Xiang Chen, Saayan Mitra, Aniket Bera, Dinesh Manocha

June 19, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances

Supreeth Narasimhaswamy, Uttaran Bhattacharya, Xiang Chen, Ishita Dasgupta, Saayan Mitra, Minh Hoai

May 2, 2024 Artificial Intelligence and Statistics (AISTATS)

A/B testing under Interference with Partial Network Information

Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau

March 12, 2024 ICLR 2024

ToolChain: Efficient Action Space Navigation in Large Language Models with A Search

Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang

November 8, 2023 IEEE Initernational Conference on Big Data

Decentralized Personalized Online Federated Learning

Renzhi Wu, Saayan Mitra, Xiang Chen, Anup Rao

July 23, 2023 Proceedings of the 40th International Conference on Machine Learning (ICML)

Flash: Concept Drift Adaptation in Federated Learning

Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan

April 25, 2023 International Conference on Artificial Intelligence and Statistics (AISTATS)

Direct Inference of Effect of Treatment (DIET) for a Cookieless World

Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Madalina Fiterau

February 27, 2023 WSDM: Web Search and Data Mining

Privacy Aware Experiments without Cookies

Shiv Shankar, Ritwik Sinha, Saayan Mitra, Vishy Swaminathan, Sridhar Mahadevan, Moumita Sinha

February 22, 2023 ACM/IEEE Symposium on Edge Computing

SODA: Protecting Proprietary Information in On-Device Machine Learning Models

Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant Shenoy

December 17, 2022 IEEE Initernational Conference on Big Data

Collaborative Filtering Guided Deep Reinforcement Learning for Sequential Recommendations

Vahid Azizi, Saayan Mitra, Xiang Chen

December 5, 2022 IEEE International Symposium on Multimedia (ISM)

Contextualized Styling of Images for Web Interfaces using Reinforcement Learning

Pooja Guhan, Saayan Mitra, Somdeb Sarkhel, Stefano Petrangeli, Ritwik Sinha, Vishy Swaminathan, Aniket Bera, Dinesh Manocha

June 30, 2022 AAAI Conference on Artificial Intelligence

DiPS: Differentiable Policy for Sketching in Recommender Systems

Aritra Ghosh, Saayan Mitra, Andrew S. Lan

April 25, 2022 The Web Conference

Towards Preserving Server-Side Privacy of On-Device Models

Akanksha Atrey, Ritwik Sinha, Somdeb Sarkhel, Saayan Mitra, David Arbour, Akash Maharaj, Prashant Shenoy

November 1, 2021 IEEE International Symposium on Multimedia (ISM)

BOhance: Bayesian Optimization for Content Enhancement

Trisha Mittal, Vishy Swaminathan, Somdeb Sarkhel, Ritwik Sinha, David Arbour, Saayan Mitra, Dinesh Manocha

July 25, 2020 International ACM SIGIR Conference on Research and Development in Information Retrieval

Metadata Matters in User Engagement Prediction

Xiang Chen, Saayan Mitra, Vishy Swaminathan

July 6, 2020 IEEE International Conference on Multimedia and Expo (ICME)

Scaling DNN-based Video Analysis by Coarse-grained and Fine-grained Parallelism

Phanwadee Sinthong, Kanak Mahadik, Somdeb Sarkhel, Saayan Mitra

January 1, 2020 SIAM International Conference on Data Mining

Optimal Bidding Strategy without Exploration in Real-time Bidding

Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Vishy Swaminathan

December 11, 2019 IEEE ISM 2019

A Scalable Data Augmentation and Training Pipeline for Logo Detection

Han Guo, Vishy Swaminathan, Saayan Mitra

Best Paper Award

September 16, 2019 ECML-PKDD 2019

Scalable Bid Landscape Forecasting in Real-time Bidding

Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Vishy Swaminathan

July 29, 2019 ACM SIGIR 2019

Training Streaming Factorization Machines with Alternating Least Squares

Xueyu Mao, Saayan Mitra, Sheng Li

December 10, 2018 IEEE ISM 2018

Content-Based Effectiveness Prediction of Video Advertisements

Qi Lou, Somdeb Sarkhel, Saayan Mitra, Vishy Swaminathan

December 11, 2017 IEEE BigData 2017

Digital content recommendation system using implicit feedback data

Gang Wu, Vishy Swaminathan, Saayan Mitra, Ratnesh Kumar

December 11, 2017 IEEE ISM 2017

Personalized Video Recommendations for Shared Accounts

Shuo Yang, Somdeb Sarkhel, Saayan Mitra, Vishy Swaminathan

December 11, 2017 IEEE ISM 2017

Feature Selection for FM-Based Context-Aware Recommendation Systems

Xueyu Mao, Saayan Mitra, Vishy Swaminathan

October 7, 2017 IEEE ICME 2017

Context-aware video recommendation based on session progress prediction

Gang Wu, Vishy Swaminathan, Saayan Mitra, Ratnesh Kumar

July 10, 2017 IEEE International Conference on Multimedia and Expo (ICME)

Context-Aware Video Recommendation using Session Progress

Gang Wu, Vishy Swaminathan, Saayan Mitra, Ratnesh Kumar

September 30, 2013 in Proceedings of IEEE International Workshop on Multimedia Signal Processing (MMSP), Sep 2013, Sardinia, Italy

Designing a Universal Format for Encrypted Media

Vishy Swaminathan, Saayan Mitra, Sheng Wei

September 19, 2012 In Proceedings of IEEE International Workshop on Multimedia Signal Processing (MMSP), Sep 2012, Banff, Canada

An Optimal Client Buffer Model for Multiplexing HTTP Streams

Saayan Mitra, Vishy Swaminathan

January 14, 2012 In Proceedings of IEEE International Conference on Emerging Signal Processing Applications (ESPA), Jan 2012, Las Vegas, NV

A Partial Encryption Scheme for AVC Video

Vishy Swaminathan, Saayan Mitra

July 10, 2009 In Proceedings of IEEE International Conference on Web Services (ICWS), July 2009, Los Angeles, CA

A Framework for Optimal Decentralized Service-Choreography

Saayan Mitra, R. Kumar, S. Basu

July 11, 2008 In Proceedings of IEEE International Conference on Services Computing (SCC), July 2008, Honolulu, HI

Optimum Decentralized Choreography for Web Services Composition

Saayan Mitra, R. Kumar, S. Basu

November 5, 2007 In Proceedings of ACM/IEEE Web Intelligence, Nov 2007, Femont, CA

Local and On-the-fly Choreography-based Web Service Composition

Saayan Mitra, S. Basu, R. Kumar

July 9, 2007 In ICWS '07: Proceedings of IEEE International Conference on Web Services, July 2007, Salt Lake City, UT

Automated Choreographer Synthesis for Web Services Composition Using I/O Automata

Saayan Mitra, R. Kumar, S. Basu

News

TeamFusion: Using AI Agents to Represent Every Voice in Team Decisions

TeamFusion is a multi-agent framework that supports team decision-making by creating AI proxy agents grounded in each member’s preferences, so that humans can make better-informed decisions together.

May 19, 2026

How Adobe Research helped build the new AI Assistant for Adobe Experience Platform

Adobe Research, in collaboration with the AEP engineering team, developed the new AI Assistant in Adobe Experience Platform. This cutting-edge technology delivers time-saving responses grounded in product knowledge and customer data, backed up with citations and explanations—all through a natural language interface!

August 12, 2024