| 2026 | ICS | Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents. | Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Aman Chadha, Tanya G. Roosta, Ali Jannesari |
| 2026 | WACV | EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models. | Wenhui Zhu, Xiwen Chen, Zhipeng Wang, Shao Tang, Sayan Ghosh, Xuanzhao Dong, Rajat Koner, Yalin Wang |
| 2025 | ICLR | Enhancing Language Model Agents using Diversity of Thoughts. | Vijay Lingam, Behrooz Omidvar-Tehrani, Sujay Sanghavi, Gaurav Gupta, Sayan Ghosh, Linbo Liu, Jun Huan, Anoop Deoras |
| 2024 | CLUSTER | MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs. | Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Ali Jannesari |
| 2024 | EMNLP | Compare without Despair: Reliable Preference Evaluation with Generation Separability. | Sayan Ghosh, Tejas Srinivasan, Swabha Swayamdipta |
| 2024 | HOTI | Message from the TPC Chairs: HOTI 2024. | Rohit Zambre, Sayan Ghosh |
| 2024 | SC | Efficient Weighted Graph Matching on GPUs. | Michael Mandulak, Sayan Ghosh, S. M. Ferdous, Mahantesh Halappanavar, George M. Slota |
| 2023 | ACL | LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning. | Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava |
| 2023 | EMNLP | Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models. | Yiyuan Li, Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava |
| 2023 | EMNLP | Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers. | Kangda Wei, Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava |
| 2023 | EMNLP | Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture. | Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, Yunyao Li, James A. Hendler, Dakuo Wang |
| 2023 | ICWSM | Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social Media. | Julia Mendelsohn, Sayan Ghosh, David Jurgens, Ceren Budak |
| 2022 | ACL | Learning to Mediate Disparities Towards Pragmatic Communication. | Yuwei Bao, Sayan Ghosh, Joyce Chai |
| 2022 | ACL | ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding. | Sayan Ghosh, Shashank Srivastava |
| 2022 | ACL | CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations. | Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava |
| 2022 | ICONIP | A Phenomenological Deep Oscillatory Neural Network Model to Capture the Whole Brain Dynamics in Terms of BOLD Signal. | Anirban Bandyopadhyay, Sayan Ghosh, Dipayan Biswas, Raju Surampudi Bapi, V. Srinivasa Chakravarthy |
| 2021 | ACL | How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? | Sayan Ghosh, Zheng Qi, Snigdha Chaturvedi, Shashank Srivastava |
| 2021 | CCGRID | RMACXX: An Efficient High-Level C++ Interface over MPI-3 RMA. | Sayan Ghosh, Yanfei Guo, Pavan Balaji, Assefaw H. Gebremedhin |
| 2021 | EMNLP | Adversarial Scrubbing of Demographic Information for Text Classification. | Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier Oliva, Shashank Srivastava, Snigdha Chaturvedi |
| 2021 | EMNLP | Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning. | Sayan Ghosh, Shashank Srivastava |
| 2021 | SC | Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs. | Sayan Ghosh, Nathan R. Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman |
| 2020 | EMNLP | PRover: Proof Generation for Interpretable Reasoning over Rules. | Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal |
| 2020 | ICWSM | Analysing the Extent of Misinformation in Cancer Related Tweets. | Rakesh Bal, Sayan Sinha, Swastika Dutta, Rishabh Joshi, Sayan Ghosh, Ritam Dutt |
| 2019 | ACL | Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions. | Innocent Ndubuisi-Obi, Sayan Ghosh, David Jurgens |
| 2019 | ECIR | DeepTagRec: A Content-cum-User Based Tag Recommendation Framework for Stack Overflow. | Suman Kalyan Maity, Abhishek Panigrahi, Sayan Ghosh, Arundhati Banerjee, Pawan Goyal, Animesh Mukherjee |
| 2019 | ECIR | Public Sphere 2.0: Targeted Commenting in Online News Media. | Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, Abhijnan Chakraborty |
| 2019 | SIGGRAPH | Exploring color variations for vector graphics. | Sayan Ghosh, Jose Echevarria, Vineet Batra, Ankit Phogat |
| 2018 | ICASSP | Towards Learning Nuisance-Free Representations of Speech. | Lixing Liu, Sayan Ghosh, Stefan Scherer |
| 2018 | ICDCN | QoS-Aware Dynamic Caching for Destroyed Virtual Machines in Sensor-Cloud Architecture. | Arijit Roy, Sudip Misra, Sayan Ghosh |
| 2018 | IVA | NADiA: Neural Network Driven Virtual Human Conversation Agents. | Jason Wu, Sayan Ghosh, Mathieu Chollet, Steven Ly, Sharon Mozgai, Stefan Scherer |
| 2018 | SC | MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems. | Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin |
| 2017 | ACL | Affect-LM: A Neural Language Model for Customizable Affective Text Generation. | Sayan Ghosh, Mathieu Chollet, Eugene Laksana, Louis-Philippe Morency, Stefan Scherer |
| 2016 | HiPC | Parallelization of Bin Packing on Multicore Systems. | Sayan Ghosh, Assefaw Hadish Gebremedhin |
| 2016 | ICPP | One-Sided Interface for Matrix Operations Using MPI-3 RMA: A Case Study with Elemental. | Sayan Ghosh, Jeff R. Hammond, Antonio J. Pea, Pavan Balaji, Assefaw Hadish Gebremedhin, Barbara M. Chapman |
| 2016 | Interspeech | Representation Learning for Speech Emotion Recognition. | Sayan Ghosh, Eugene Laksana, Louis-Philippe Morency, Stefan Scherer |
| 2015 | ACII | A multi-label convolutional neural network approach to cross-domain action unit detection. | Sayan Ghosh, Eugene Laksana, Stefan Scherer, Louis-Philippe Morency |
| 2015 | ICMI | Challenges in Deep Learning for Multimodal Applications. | Sayan Ghosh |
| 2014 | ICMI | A Multimodal Context-based Approach for Distress Assessment. | Sayan Ghosh, Moitreya Chatterjee, Louis-Philippe Morency |
| 2013 | SC | Performance Analysis of the NWChem TCE for Different Communication Patterns. | Priyanka Ghosh, Jeff R. Hammond, Sayan Ghosh, Barbara M. Chapman |
| 2012 | Interspeech | Automatic Speech Segmentation Using Probabilistic Latent Component Modeling. | Sayan Ghosh, T. V. Sreenivas |
| 2012 | SC | Poster: Statistical Power and Energy Modeling of Multi-GPU Kernels. | Sayan Ghosh, Sunita Chandrasekaran, Barbara M. Chapman |
| 2012 | SC | Experiences with OpenMP, PGI, HMPP and OpenACC Directives on ISO/TTI Kernels. | Sayan Ghosh, Terrence Liao, Henri Calandra, Barbara M. Chapman |
| 2010 | GECCO | On the asymptotic convergence of differential evolution in continuous spaces: a control theoretic approach. | Sayan Ghosh, Swagatam Das, Sanjoy Das |
| 2009 | CEC | Automatic clustering with multi-objective Differential Evolution algorithms. | Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swagatam Das, Ajith Abraham |
| 2009 | HAIS | Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution. | Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swagatam Das, Ajith Abraham, Youakim Badr |
| 2009 | HIS | On Some Properties of the lbest Topology in Particle Swarm Optimization. | Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swagatam Das, Ajith Abraham, Bijaya K. Panigrahi, Vclav Snsel |
| 2008 | ISDA | Inertia-Adaptive Particle Swarm Optimizer for Improved Global Search. | Kaushik Suresh, Sayan Ghosh, Debarati Kundu, Abhirup Sen, Swagatam Das, Ajith Abraham |
| 2008 | SYNASC | An Adaptive Particle Swarm Optimizer Using Balanced Explorative and Exploitative Behaviors. | Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swagatam Das, Ajith Abraham |