| 2025 | ICDM | Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems. | Rahul Ghosh, Arvind Renganthan, Zac McEachran, Kelly Lindsay, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar |
| 2025 | ICDM | Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework. | Shiyuan Luo, Runlong Yu, Chonghao Qiu, Rahul Ghosh, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia |
| 2025 | IJCNLP | TelcoAI: Advancing 3GPP Technical Specification Search through Agentic Multi-Modal Retrieval-Augmented Generation. | Rahul Ghosh, Chun-Hao Liu, Gaurav Rele, Vidya Sagar Ravipati, Hazar Aouad |
| 2025 | SDM | Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems. | Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar |
| 2024 | COLING | Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles. | Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed, George Arthur Baker, Rahul Ghosh, James H. Martin, Nathaniel Blanchard, Nikhil Krishnaswamy |
| 2024 | ICDM | From Connections to Conversions: Enhanced Product Knowledge Graph Embeddings for E-commerce Recommendations. | Abhishek Kulkarni, Sumit Kumar Dutta, Sivaram Prasad Mudunuri, Kamiya Motwani, Rahul Ghosh |
| 2024 | SDM | Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. | Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar |
| 2024 | SDM | Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. | Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar |
| 2023 | ICDM | Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. | Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar |
| 2023 | SDM | Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. | Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar |
| 2023 | SDM | Probabilistic Inverse Modeling: An Application in Hydrology. | Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar |
| 2023 | SDM | Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. | Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar |
| 2022 | AAAI | Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. | Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam |
| 2022 | ICDM | Meta-Transfer Learning: An application to Streamflow modeling in River-streams. | Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia |
| 2022 | IJCAI | Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). | Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam |
| 2022 | KDD | Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. | Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar |
| 2022 | SDM | Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. | Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar |
| 2021 | ICDM | A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. | Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam |
| 2020 | COLING | Model-agnostic Methods for Text Classification with Inherent Noise. | Kshitij Tayal, Rahul Ghosh, Vipin Kumar |
| 2020 | RCIS | FINESSE: Fair Incentives for Enterprise Employees. | Soumi Chattopadhyay, Rahul Ghosh, Ansuman Banerjee, Avantika Gupta, Arpit Jain |
| 2020 | SDM | Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. | Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar |
| 2019 | COMAD | EasyDist: An End-to-End Distributed Deep Learning Tool for Cloud. | Varun Natu, Rahul Ghosh |
| 2017 | IC2E | CoMICon: A Co-Operative Management System for Docker Container Images. | Senthil Nathan, Rahul Ghosh, Tridib Mukherjee, Krishnaprasad Narayanan |
| 2016 | ICSOC | QoS-Driven Management of Business Process Variants in Cloud Based Execution Environments. | Rahul Ghosh, Aditya Ghose, Aditya Hegde, Tridib Mukherjee, Adrian Mos |
| 2015 | ICWS | A Scalable Approach for Context Based Complex Service Discovery. | Shruti Kunde, Rahul Ghosh, Tridib Mukherjee, Aditya Hegde, Varun Sharma |
| 2013 | DSN | Analysis of bugs in Apache Virtual Computing Lab. | Flavio Frattini, Rahul Ghosh, Marcello Cinque, Andy J. Rindos, Kishor S. Trivedi |
| 2011 | DSN | Power-performance trade-offs in IaaS cloud: A scalable analytic approach. | Rahul Ghosh, Vijay K. Naik, Kishor S. Trivedi |
| 2011 | DSN | A scalable availability model for Infrastructure-as-a-Service cloud. | Francesco Longo, Rahul Ghosh, Vijay K. Naik, Kishor S. Trivedi |
| 2010 | PRDC | End-to-End Performability Analysis for Infrastructure-as-a-Service Cloud: An Interacting Stochastic Models Approach. | Rahul Ghosh, Kishor S. Trivedi, Vijay K. Naik, Dong Seong Kim |
| 2010 | PRDC | A Hierarchical Model for Reliability Analysis of Sensor Networks. | Dong Seong Kim, Rahul Ghosh, Kishor S. Trivedi |
| 2010 | SRDS | Quantifying Resiliency of IaaS Cloud. | Rahul Ghosh, Francesco Longo, Vijay K. Naik, Kishor S. Trivedi |
| 2009 | ICCAD | Resilience in computer systems and networks. | Kishor S. Trivedi, Dong Seong Kim, Rahul Ghosh |
| 2008 | ICNP | Link layer multicasting with smart antennas: No client left behind. | Souvik Sen, Jie Xiong, Rahul Ghosh, Romit Roy Choudhury |