Whole-program optimization of global variable layout. - Nathaniel McIntosh; Sandya Mannarswamy; Robert Hundt (PACT, 2006)

Practical Structure Layout Optimization and Advice. - Robert Hundt; Sandya Mannarswamy; Dhruva R. Chakrabarti (CGO, 2006)

TRICK: tracking and reusing compiler's knowledge. - Sandya Mannarswamy; Shruti Doval; Hariharan Sandanagobalane; Mahesha Nanjundaiah (ACM SIGPLAN Notices, 2006)

Structure Layout Optimization for Multithreaded Programs. - Easwaran Raman; Robert Hundt; Sandya Mannarswamy (CGO, 2007)

Book Review. - Sandya S. Mannarswamy (Sci. Program., 2008)

Region Based Structure Layout Optimization by Selective Data Copying. - Sandya S. Mannarswamy; Ramaswamy Govindarajan; Rishi Surendran (PACT, 2009)

Analyzing cache performance bottlenecks of STM applications and addressing them with compiler's help. - Sandya S. Mannarswamy; Ramaswamy Govindarajan (PACT, 2010)

Handling Conflicts with Compiler's Help in Software Transactional Memory Systems. - Sandya Mannarswamy; R. Govindarajan (ICPP, 2010)

Compiler aided selective lock assignment for improving the performance of software transactional memory. - Sandya Mannarswamy; Dhruva R. Chakrabarti; Kaushik Rajan; Sujoy Saraswati (PPoPP, 2010)

Making STMs Cache Friendly with Compiler Transformations. - Sandya Mannarswamy; Ramaswamy Govindarajan (PACT, 2011)

Variable Granularity Access Tracking Scheme for Improving the Performance of Software Transactional Memory. - Sandya S. Mannarswamy; Ramaswamy Govindarajan (IPDPS, 2011)

Reconciling transactional conflicts with compiler's help. - Sandya S. Mannarswamy; R. Govindarajan (CGO, 2012)

Failure-Atomic Updates of Application Data in a Linux File System. - Rajat Verma; Anton Ajay Mendez; Stan Park; Sandya S. Mannarswamy; Terence Kelly; Charles B. Morrey III (FAST, 2015)

CHIS@FIRE: Overview of the Shared Task on Consumer Health Information Search. - Manjira Sinha; Sandya Mannarswamy; Shourya Roy (FIRE (Working Notes), 2016)

SMASC 2017: First International Workshop on Social Media Analytics for Smart Cities. - Manjira Sinha; Xiangnan He 001; Alessandro Bozzon; Sandya Mannarswamy; Pradeep K. Murukannaiah; Tridib Mukherjee (CIKM, 2017)

Embedding Learning of Figurative Phrases for Emotion Classification in Micro-Blog Texts. - Shreshtha Mundra; Sandya Mannarswamy; Manjira Sinha; Anirban Sen (CODS, 2017)

Improving Similar Question Retrieval using a Novel Tripartite Neural Network based Approach. - Anirban Sen; Manjira Sinha; Sandya Mannarswamy (FIRE, 2017)

Fine-Grained Emotion Detection in Contact Center Chat Utterances. - Shreshtha Mundra; Anirban Sen; Manjira Sinha; Sandya Mannarswamy; Sandipan Dandapat; Shourya Roy (PAKDD (2), 2017)

Multi-task Representation Learning for Enhanced Emotion Categorization in Short Text. - Anirban Sen; Manjira Sinha; Sandya Mannarswamy; Shourya Roy (PAKDD (2), 2017)

CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection. - Shashank Gupta 006; Raghuveer Thirukovalluru; Manjira Sinha; Sandya Mannarswamy (ASONAM, 2018)

Mining & Summarizing E-petitions for Enhanced Understanding of Public Opinion. - Shreshtha Mundra; Sachin Kumar 009; Manjira Sinha; Sandya Mannarswamy (CIKM, 2018)

Stance classification of multi-perspective consumer health information. - Anirban Sen; Manjira Sinha; Sandya Mannarswamy; Shourya Roy (COMAD/CODS, 2018)

Evolving AI from Research to Real Life - Some Challenges and Suggestions. - Sandya Mannarswamy; Shourya Roy (IJCAI, 2018)

GEMINIO: Finding Duplicates in a Question Haystack. - Sandya Mannarswamy; Saravanan Chidambaram (PAKDD (2), 2018)

My City, My Voice: Listening to the Citizen Views from Web Sources. - Manjira Sinha; Satarupa Guha; Preethy Varma; Tridib Mukherjee; Sandya Mannarswamy (COMAD/CODS, 2019)

CIQ@FIRE: Overview of the Shared Task on Fine-Grained Classification of Insincere Questions. - Manjira Sinha; Priya Radhakrishnan; Sandya Mannarswamy; Monnie Parida (FIRE, 2019)

Tutorial on Software Testing & Quality Assurance for Machine Learning Applications from research bench to real world. - Sandya Mannarswamy; Shourya Roy; Saravanan Chidambaram (COMAD/CODS, 2020)

First Workshop on Knowledge Injection in Neural Networks (KINN). - Vasudev Lal; Somak Aditya; Yezhou Yang; Pasquale Minervini; Sandya Mannarswamy (CIKM, 2021)

Opening the NLP Blackbox - Analysis and Evaluation of NLP Models: Methods, Challenges and Opportunities. - Sandya Mannarswamy; Saravanan Chidambaram (COMAD/CODS, 2021)

Learning to Combine Instructions in LLVM Compiler. - Sandya Mannarswamy; Dibyendu Das (CoRR, 2022)

DL4HC: Deep Learning for Healthcare. - Raghavendra Bhat; Sandya Mannarswamy; Shreyas N. C (COMAD/CODS, 2023)

ML-driven Hardware Cost Model for MLIR. - Dibyendu Das; Sandya Mannarswamy (CoRR, 2023)