Parsing Generalized Phrase Structure Grammar with Dynamic Expansion. - Navin Budhiraja; Subrata Mitra; Harish Karnick; Rajeev Sangal (IWPT, 1989)

Equation Solving in Conditional AC-Theories. - Nachum Dershowitz; Subrata Mitra; G. Sivakumar (ALP, 1990)

AC-Equation Solving. - Subrata Mitra; G. Sivakumar (FSTTCS, 1991)

Decidable Matching for Convergent Systems (Preliminary Version). - Nachum Dershowitz; Subrata Mitra; G. Sivakumar (CADE, 1992)

Path Orderings for Termination of Associative-Commutative Rewriting. - Nachum Dershowitz; Subrata Mitra (CTRS, 1992)

ObjChart: Tangible Specification of Reactive Object Behavior. - Dipayan Gangopadhyay; Subrata Mitra (ECOOP, 1993)

Higher-Order and Semantic Unification. - Nachum Dershowitz; Subrata Mitra (FSTTCS, 1993)

ObjChart-Builder: An Environment for Executing Visual Object Models. - Dipayan Gangopadhyay; Subrata Mitra (TOOLS (11), 1993)

Design by Framework Completion. - Dipayan Gangopadhyay; Subrata Mitra (Autom. Softw. Eng., 1996)

Jeopardy. - Nachum Dershowitz; Subrata Mitra (RTA, 1999)

Leveraging information in multi-echelon inventory systems. - Subrata Mitra; Ashis Kumar Chatterjee (Eur. J. Oper. Res., 2004)

An Algorithm for the generalized Vehicle Routing Problem with Backhauling. - Subrata Mitra (Asia Pac. J. Oper. Res., 2005)

A parallel clustering technique for the vehicle routing problem with split deliveries and pickups. - Subrata Mitra (J. Oper. Res. Soc., 2008)

The 2008 Survey of Indian Third-Party Logistics (3PL) Service Providers: Comparisons with the 2004 Survey of Indian 3PLs and 2006 Survey of North American 3PLs. - Subrata Mitra (Int. J. Appl. Logist., 2011)

Inventory management in a two-echelon closed-loop supply chain with correlated demands and returns. - Subrata Mitra (Comput. Ind. Eng., 2012)

Linear Antenna Array with Suppressed Sidelobe and Sideband Levels using Time Modulation - Swaprava Nath; Subrata Mitra (CoRR, 2012)

A Novel Approach for Handling Misbehaving Nodes in Behavior-Aware Mobile Networking - Kanad Basu; Subrata Mitra; Srishti Mukherjee; Weixun Wang (CoRR, 2012)

Automatic Problem Localization via Multi-dimensional Metric Profiling. - Ignacio Laguna; Subrata Mitra; Fahad A. Arshad; Nawanol Theera-Ampornpunt; Zongyang Zhu; Saurabh Bagchi; Samuel P. Midkiff; Michael Kistler; Ahmed Gheith (SRDS, 2013)

Comparing Static and Dynamic Policies for Vehicle Routing Problems with Backhauling and Dynamic Customer Demands. - Subrata Mitra (Int. J. Appl. Logist., 2013)

Mitigating interference in cloud services by middleware reconfiguration. - Amiya Kumar Maji; Subrata Mitra; Bowen Zhou 008; Saurabh Bagchi; Akshat Verma (Middleware, 2014)

Accurate application progress analysis for large-scale parallel debugging. - Subrata Mitra; Ignacio Laguna; Dong H. Ahn; Saurabh Bagchi; Martin Schulz 001; Todd Gamblin (PLDI, 2014)

Application of graph search and genetic algorithms for the single machine scheduling problem with sequence-dependent setup times and quadratic penalty function of completion times. - Viswanathan Kodaganallur; Anup K. Sen; Subrata Mitra (Comput. Ind. Eng., 2014)

Dealing with the Unknown: Resilience to Prediction Errors. - Subrata Mitra; Greg Bronevetsky; Suhas Javagal; Saurabh Bagchi (PACT, 2015)

ICE: An Integrated Configuration Engine for Interference Mitigation in Cloud Services. - Amiya Kumar Maji; Subrata Mitra; Saurabh Bagchi (ICAC, 2015)

VIDalizer: An energy efficient video streamer. - Arnab Raha; Subrata Mitra; Vijay Raghunathan; Sanjay G. Rao (WCNC, 2015)

VMI for single-vendor multi-retailer supply chains under stochastic demand. - Arqum Mateen; Ashis Kumar Chatterjee; Subrata Mitra (Comput. Ind. Eng., 2015)

Partial-parallel-repair (PPR): a distributed technique for repairing erasure coded storage. - Subrata Mitra; Rajesh Krishna Panta; Moo-Ryong Ra; Saurabh Bagchi (EuroSys, 2016)

A Study of Failures in Community Clusters: The Case of Conte. - Subrata Mitra; Suhas Javagal; Amiya Kumar Maji; Todd Gamblin; Adam Moody; Stephen Lien Harrell; Saurabh Bagchi (ISSRE Workshops, 2016)

Sirius: Neural Network Based Probabilistic Assertions for Detecting Silent Data Corruption in Parallel Programs. - Tara E. Thomas; Anmol J. Bhattad; Subrata Mitra; Saurabh Bagchi (SRDS, 2016)

What broke where for distributed and parallel applications - a whodunit story - Subrata Mitra (2016)

Phase-aware optimization in approximate computing. - Subrata Mitra; Manish K. Gupta; Sasa Misailovic; Saurabh Bagchi (CGO, 2017)

Rafiki: a middleware for parameter tuning of NoSQL datastores for dynamic metagenomics workloads. - Ashraf Mahgoub; Paul Wood; Sachandhan Ganesh; Subrata Mitra; Wolfgang Gerlach; Travis Harrison; Folker Meyer; Ananth Grama; Saurabh Bagchi; Somali Chaterji (Middleware, 2017)

Pythia: Improving Datacenter Utilization via Precise Contention Prediction for Multiple Co-located Workloads. - Ran Xu 003; Subrata Mitra; Jason Rahman; Peter Bai; Bowen Zhou 008; Greg Bronevetsky; Saurabh Bagchi (Middleware, 2018)

VideoChef: Efficient Approximation for Streaming Video Processing Pipelines. - Ran Xu 003; Jinkyu Koo; Rakesh Kumar 007; Peter Bai; Subrata Mitra; Sasa Misailovic; Saurabh Bagchi (USENIX ATC, 2018)

Newsvendor problem with clearance pricing. - Subrata Mitra (Eur. J. Oper. Res., 2018)

Single-period newsvendor problem under random end-of-season demand. - Subrata Mitra; Ashis Kumar Chatterjee (J. Oper. Res. Soc., 2018)

DeepPlace: Learning to Place Applications in Multi-Tenant Clusters. - Subrata Mitra; Shanka Subhra Mondal; Nikhil Sheoran; Neeraj Dhake; Ravinder Nehra; Ramanuja Simha (APSys, 2019)

Edge-based Transcoding for Adaptive Live Video Streaming. - Pradeep Dogga; Sandip Chakraborty 001; Subrata Mitra; Ravi Netravali (HotEdge, 2019)

SOPHIA: Online Reconfiguration of Clustered NoSQL Databases for Time-Varying Workloads. - Ashraf Mahgoub; Paul Wood; Alexander Medoff; Subrata Mitra; Folker Meyer; Somali Chaterji; Saurabh Bagchi (USENIX ATC, 2019)

ApproxNet: Content and Contention Aware Video Analytics System for the Edge. - Ran Xu 003; Jinkyu Koo; Rakesh Kumar 007; Peter Bai; Subrata Mitra; Ganga Maghanath; Saurabh Bagchi (CoRR, 2019)

ApproxDet: content and contention-aware approximate object detection for mobiles. - Ran Xu 003; Chen-Lin Zhang; Pengcheng Wang 001; Jayoung Lee; Subrata Mitra; Somali Chaterji; Yin Li 003; Saurabh Bagchi (SenSys, 2020)

OPTIMUSCLOUD: Heterogeneous Configuration Optimization for Distributed Databases in the Cloud. - Ashraf Mahgoub; Alexander Medoff; Rakesh Kumar 007; Subrata Mitra; Ana Klimovic; Somali Chaterji; Saurabh Bagchi (USENIX ATC, 2020)

Scheduling of Time-Varying Workloads Using Reinforcement Learning. - Shanka Subhra Mondal; Nikhil Sheoran; Subrata Mitra (AAAI, 2021)

Scheduling ML training on unreliable spot instances. - Sheng Yang 005; Samir Khuller; Sunav Choudhary; Subrata Mitra; Kanak Mahadik (UCC Companion, 2021)

SONIC: Application-aware Data Passing for Chained Serverless Applications. - Ashraf Mahgoub; Karthick Shankar; Subrata Mitra; Ana Klimovic; Somali Chaterji; Saurabh Bagchi (USENIX ATC, 2021)

Data-Sharing Economy: Value-Addition from Data meets Privacy. - Piyush Bagad; Subrata Mitra; Sunny Dhamnani; Atanu R. Sinha; Raunak Gautam; Haresh Khanna (WSDM, 2021)

Conditional Generative Model Based Predicate-Aware Query Approximation. - Nikhil Sheoran; Subrata Mitra; Vibhor Porwal; Siddharth Ghetia; Jatin Varshney; Tung Mai; Anup B. Rao; Vikas Maddukuri (AAAI, 2022)

Few-Shot Class-Incremental Learning for Named Entity Recognition. - Rui Wang 088; Tong Yu 001; Handong Zhao; Sungchul Kim; Subrata Mitra; Ruiyi Zhang 002; Ricardo Henao (ACL (1), 2022)

Correlated Stochastic Knapsack with a Submodular Objective. - Sheng Yang 005; Samir Khuller; Sunav Choudhary; Subrata Mitra; Kanak Mahadik (ESA, 2022)

Root Cause Analysis of Failures in Microservices through Causal Discovery. - Azam Ikram; Sarthak Chakraborty; Subrata Mitra; Shiv Kumar Saini; Saurabh Bagchi; Murat Kocaoglu (NeurIPS, 2022)

Efficient Insights Discovery through Conditional Generative Model based Query Approximation. - Vibhor Porwal; Subrata Mitra; Fan Du; John Anderson; Nikhil Sheoran; Anup B. Rao; Tung Mai; Gautam Kowshik; Sapthotharan Nair; Sameeksha Arora; Saurabh Mahapatra (SIGMOD Conference, 2022)

Electra: Conditional Generative Model based Predicate-Aware Query Approximation. - Nikhil Sheoran; Subrata Mitra; Vibhor Porwal; Siddharth Ghetia; Jatin Varshney; Tung Mai; Anup B. Rao; Vikas Maddukuri (CoRR, 2022)

Analysis of Distributed Deep Learning in the Cloud. - Aakash Sharma; Vivek M. Bhasi; Sonali Singh; Rishabh Jain; Jashwant Raj Gunasekaran; Subrata Mitra; Mahmut Taylan Kandemir; George Kesidis; Chita R. Das (CoRR, 2022)

ApproxNet: Content and Contention-Aware Video Object Classification System for Embedded Clients. - Ran Xu 003; Rakesh Kumar 007; Pengcheng Wang 001; Peter Bai; Ganga Meghanath; Somali Chaterji; Subrata Mitra; Saurabh Bagchi (ACM Trans. Sens. Networks, 2022)

Reinforced Approximate Exploratory Data Analysis. - Shaddy Garg; Subrata Mitra; Tong Yu 001; Yash Gadhia; Arjun Kashettiwar (AAAI, 2023)

Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. - Rui Wang 088; Tong Yu 001; Junda Wu; Handong Zhao; Sungchul Kim; Ruiyi Zhang 002; Subrata Mitra; Ricardo Henao (ACL (Findings), 2023)

EVA: An End-to-End Exploratory Video Analytics System. - Gaurav Tarlok Kakkar; Jiashen Cao; Pramod Chunduri; Zhuangdi Xu; Suryatej Reddy Vyalla; Prashanth Dintyala; Anirudh Prabakaran; Jaeho Bang; Aubhro Sengupta; Kaushik Ravichandran 002; Ishwarya Sivakumar; Aryan Rajoria; et al. (DEEM@SIGMOD, 2023)

Stash: A Comprehensive Stall-Centric Characterization of Public Cloud VMs for Distributed Deep Learning. - Aakash Sharma; Vivek M. Bhasi; Sonali Singh; Rishabh Jain; Jashwant Raj Gunasekaran; Subrata Mitra; Mahmut Taylan Kandemir; George Kesidis; Chita R. Das (ICDCS, 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)

Fast Natural Language Based Data Exploration with Samples. - Shubham Agarwal 007; Gromit Yeuk-Yin Chan; Shaddy Garg; Tong Yu 001; Subrata Mitra (SIGMOD Conference Companion, 2023)

Approximate Caching for Efficiently Serving Diffusion Models. - Shubham Agarwal 007; Subrata Mitra; Sarthak Chakraborty; Srikrishna Karanam; Koyel Mukherjee; Shiv Kumar Saini (CoRR, 2023)

SEIDEN: Revisiting Query Processing in Video Database Systems. - Jaeho Bang; Gaurav Tarlok Kakkar; Pramod Chunduri; Subrata Mitra; Joy Arulraj (Proc. VLDB Endow., 2023)

R2D2: Reducing Redundancy and Duplication in Data Lakes. - Raunak Shah; Koyel Mukherjee; Atharv Tyagi; Sai Keerthana Karnam; Dhruv Joshi; Shivam Pravin Bhosale; Subrata Mitra (Proc. ACM Manag. Data, 2023)

RECON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories. - Chen-Yi Lu; Shubham Agarwal 007; Md. Mehrab Tanjim; Kanak Mahadik; Anup B. Rao; Subrata Mitra; Shiv Kumar Saini; Saurabh Bagchi; Somali Chaterji (ECCV (59), 2024)

Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. - Rui Wang 088; Tong Yu 001; Ruiyi Zhang 002; Sungchul Kim; Ryan A. Rossi; Handong Zhao; Junda Wu; Subrata Mitra; Lina Yao 001; Ricardo Henao (NAACL-HLT (Findings), 2024)

Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models. - Shubham Agarwal 007; Subrata Mitra; Sarthak Chakraborty; Srikrishna Karanam; Koyel Mukherjee; Shiv Kumar Saini (NSDI, 2024)

ScaleViz: Scaling Visualization Recommendation Models on Large Data. - Ghazi Shazan Ahmad; Shubham Agarwal 007; Subrata Mitra; Ryan A. Rossi; Manav Doshi; Vibhor Porwal; Syam Manoj Kumar Paila (PAKDD (5), 2024)

A Framework for Fine-Tuning LLMs using Heterogeneous Feedback. - Ryan Aponte; Ryan A. Rossi; Shunan Guo; Franck Dernoncourt; Tong Yu 001; Xiang Chen; Subrata Mitra; Nedim Lipka (CoRR, 2024)

Visual Prompting in Multimodal Large Language Models: A Survey. - Junda Wu; Zhehao Zhang 001; Yu Xia 007; Xintong Li 001; Zhaoyang Xia; Aaron Chang; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Ruiyi Zhang 002; Subrata Mitra; Dimitris N. Metaxas; et al. (CoRR, 2024)

Personalized Multimodal Large Language Models: A Survey. - Junda Wu; Hanjia Lyu; Yu Xia 007; Zhehao Zhang 001; Joe Barrow; Ishita Kumar; Mehrnoosh Mirtaheri; Hongjie Chen 003; Ryan A. Rossi; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; et al. (CoRR, 2024)

FaDE: More Than a Million What-ifs Per Second. - Haneen Mohammed; Eugene Wu 002; Alexander Yao; Charlie Summers; Lampros Flokas; Gromit Yeuk-Yin Chan; Subrata Mitra; Hongbin Zhong (Proc. VLDB Endow., 2024)

Personalization of Large Language Models: A Survey. - Zhehao Zhang 001; Ryan A. Rossi; Branislav Kveton; Yijia Shao; Diyi Yang; Hamed Zamani; Franck Dernoncourt; Joe Barrow; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Jiuxiang Gu; et al. (Trans. Mach. Learn. Res., 2025)

Prompt-Aware Scheduling for Efficient Text-to-Image Inferencing System. - Shubham Agarwal; Saud Iqbal; Subrata Mitra (CoRR, 2025)

Perception-aware Sampling for Scatterplot Visualizations. - Zafeiria Moumoulidou; Hamza Elhamdadi; Ke Yang 003; Subrata Mitra; Cindy Xiong Bearfield; Alexandra Meliou (CoRR, 2025)

RCStat: A Statistical Framework for using Relative Contextualization in Transformers. - Debabrata Mahapatra; Shubham Agarwal 007; Apoorv Saxena; Subrata Mitra (CoRR, 2025)

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation. - Shubham Agarwal 007; Sai Sundaresan; Subrata Mitra; Debabrata Mahapatra; Archit Gupta; Rounak Sharma; Nirmal Joshua Kapu; Tong Yu 001; Shiv Kumar Saini (Proc. ACM Manag. Data, 2025)

Physical Visualization Design: Decoupling Interface and System Design. - Yiru Chen; Xupeng Li; Jeffrey Tao; Lana Ramjit; Subrata Mitra; Javad Ghaderi; Ravi Netravali; Aditya G. Parameswaran; Dan Rubenstein; Eugene Wu 002 (Proc. ACM Manag. Data, 2025)