Rahul Ghosh - RankMe

94 papers A* 8A 13B 7C 2Journal 41Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Flow Distributions via Projection-Constrained Diffusion on Manifolds. CoRR Noah Trupin, Rahul Ghosh, Aadi Jangid
2026	J	`jnl`	TelcoAI: Advancing 3GPP Technical Specification Search through Agentic Multi-Modal Retrieval-Augmented Generation. CoRR Rahul Ghosh, Chun-Hao Liu, Gaurav Rele, Vidya Sagar Ravipati, Hazar Aouad
2025	J	`jnl`	CompAgent: An Agentic Framework for Visual Compliance Verification. CoRR Rahul Ghosh, Baishali Chaudhury, Hari Prasanna Das, Meghana Ashok, Ryan Razkenari, Sungmin Hong, Chun-Hao Liu
2025	A*	`conf`	Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems. ICDM Rahul Ghosh, Arvind Renganthan, Zac McEachran, Kelly Lindsay, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar
2025	A*	`conf`	Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework. ICDM Shiyuan Luo, Runlong Yu, Chonghao Qiu, Rahul Ghosh, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025	J	`jnl`	Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework. CoRR Shiyuan Luo, Runlong Yu, Chonghao Qiu, Rahul Ghosh, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025	J	`jnl`	RAG for Geoscience: What We Expect, Gaps and Opportunities. CoRR Runlong Yu, Shiyuan Luo, Rahul Ghosh, Lingyao Li, Yiqun Xie, Xiaowei Jia
2025	A	`conf`	Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems. SDM Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar
2025	—	`conf`	TelcoAI: Advancing 3GPP Technical Specification Search through Agentic Multi-Modal Retrieval-Augmented Generation. IJCNLP-AACL (Findings) Rahul Ghosh, Chun-Hao Liu, Gaurav Rele, Vidya Sagar Ravipati, Hazar Aouad
2024	A	`conf`	Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. SDM Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
2024	J	`jnl`	Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. CoRR Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
2024	—	`conf`	DE-ViT: State-Of-The-Art Vision Transformer Model for Early Detection of Alzheimer's Disease. NCC Anuvab Sen, Subhabrata Roy, Ariv Debnath, Gourav Jha, Rahul Ghosh
2024	—	`conf`	From Connections to Conversions: Enhanced Product Knowledge Graph Embeddings for E-commerce Recommendations. ICDM (Workshops) Abhishek Kulkarni, Sumit Kumar Dutta, Sivaram Prasad Mudunuri, Kamiya Motwani, Rahul Ghosh
2024	J	`jnl`	Hierarchical Conditional Multi-Task Learning for Streamflow Modeling. CoRR Shaoming Xu, Arvind Renganathan, Ankush Khandelwal, Rahul Ghosh, Xiang Li, Licheng Liu, Kshitij Tayal, Peter Harrington, Xiaowei Jia, Zhenong Jin, John Nieber, Vipin Kumar
2024	J	`jnl`	Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. CoRR Rahul Ghosh, Zac McEachran, Arvind Renganathan, Kelly Lindsay, Somya Sharma Chatterjee, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar
2024	J	`jnl`	Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. IEEE Trans. Knowl. Data Eng. Erhu He, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia
2024	—	`conf`	Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles. LREC/COLING Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed, George Arthur Baker, Rahul Ghosh, James H. Martin, Nathaniel Blanchard, Nikhil Krishnaswamy
2024	J	`jnl`	Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles. CoRR Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed, George Baker, Rahul Ghosh, James H. Martin, Nathaniel Blanchard, Nikhil Krishnaswamy
2024	A	`conf`	Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. SDM Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar
2024	J	`jnl`	Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications. CoRR Praveen Ravirathinam, Ankush Khandelwal, Rahul Ghosh, Vipin Kumar
2023	J	`jnl`	A BERT based Ensemble Approach for Sentiment Classification of Customer Reviews and its Application to Nudge Marketing in e-Commerce. CoRR Sayan Putatunda, Anwesha Bhowmik, Girish Thiruvenkadam, Rahul Ghosh
2023	J	`jnl`	Analogue Hawking Radiation as a Tunneling in a Two-Level PT-Symmetric System. Entropy Bijan Bagchi, Rahul Ghosh, Sauvik Sen
2023	J	`jnl`	Correction: Lin et al. Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote Sens. 2021, 13, 1740. Remote. Sens. Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
2023	J	`jnl`	Entity Aware Modelling: A Survey. CoRR Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar
2023	J	`jnl`	Harnessing heterogeneity in space with statistically guided meta-learning. Knowl. Inf. Syst. Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2023	A*	`conf`	Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. ICDM Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
2023	J	`jnl`	Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. CoRR Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
2023	J	`jnl`	Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin. CoRR Leikun Yin, Rahul Ghosh, Chenxi Lin, David Hale, Christoph Weigl, James Obarowski, Junxiong Zhou, Jessica Till, Xiaowei Jia, Troy Mao, Vipin Kumar, Zhenong Jin
2023	A	`conf`	Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. SDM 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
2023	A	`conf`	Probabilistic Inverse Modeling: An Application in Hydrology. SDM Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
2023	A	`conf`	Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. SDM Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar
2023	J	`jnl`	Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems. CoRR Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar
2023	J	`jnl`	Uncertainty Quantification in Inverse Models in Hydrology. CoRR Somya Sharma Chatterjee, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
2022	—	`conf`	Clustering augmented self-supervised learning: an application to land cover mapping. SIGSPATIAL/GIS Rahul Ghosh, Xiaowei Jia, Leikun Yin, Chenxi Lin, Zhenong Jin, Vipin Kumar
2022	A*	`conf`	Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. AAAI Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
2022	A	`conf`	Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. SDM Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar
2022	A*	`conf`	Meta-Transfer Learning: An application to Streamflow modeling in River-streams. ICDM Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia
2022	J	`jnl`	Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. CoRR 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	J	`jnl`	Probabilistic Inverse Modeling: An Application in Hydrology. CoRR Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
2022	A*	`conf`	Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. KDD Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar
2022	—	`conf`	Sailing in the location-based fairness-bias sphere. SIGSPATIAL/GIS Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
2022	J	`jnl`	Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. CoRR Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar
2022	A*	`conf`	Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). IJCAI Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2021	A*	`conf`	A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. ICDM Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2021	J	`jnl`	An Availability Analysis Approach for Deployment Configurations of Containers. IEEE Trans. Serv. Comput. Stefano Sebastio, Rahul Ghosh, Tridib Mukherjee
2021	—	`conf`	Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. IEEE BigData Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
2021	J	`jnl`	Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. CoRR Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
2021	—	`conf`	CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. IEEE BigData Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
2021	J	`jnl`	CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. CoRR Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
2021	—	`conf`	Class-Based Order-Independent Models of Natural Language for Bayesian Auto-Complete Inference. AIMLSystems Morten Hagen, Piyush Arora, Rahul Ghosh, Dawn Thomas, Salil Rajeev Joshi
2021	J	`jnl`	Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping. CoRR Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
2021	J	`jnl`	Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. CoRR Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Nieber, Christopher J. Duffy, Vipin Kumar
2021	J	`jnl`	Land Cover Mapping in Limited Labels Scenario: A Survey. CoRR Rahul Ghosh, Xiaowei Jia, Vipin Kumar
2021	J	`jnl`	Retrospective study of deep learning to reduce noise in non-contrast head CT images. Comput. Medical Imaging Graph. Kelvin K. Wong, Jonathon S. Cummock, Yunjie He, Rahul Ghosh, John Volpi, Stephen T. C. Wong
2021	—	`conf`	Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. SIGSPATIAL/GIS Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam
2021	J	`jnl`	Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote. Sens. Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
2021	J	`jnl`	Weakly Supervised Classification Using Group-Level Labels. CoRR Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
2020	B	`conf`	FINESSE: Fair Incentives for Enterprise Employees. RCIS Soumi Chattopadhyay, Rahul Ghosh, Ansuman Banerjee, Avantika Gupta, Arpit Jain
2020	—	`conf`	Model-agnostic Methods for Text Classification with Inherent Noise. COLING (Industry) Kshitij Tayal, Rahul Ghosh, Vipin Kumar
2020	A	`conf`	Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. SDM Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
2020	J	`jnl`	Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. CoRR Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
2019	—	`conf`	EasyDist: An End-to-End Distributed Deep Learning Tool for Cloud. COMAD/CODS Varun Natu, Rahul Ghosh
2019	—	`conf`	Spatio-temporal classification at multiple resolutions using multi-view regularization. IEEE BigData Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
2018	—	`conf`	ContAv: A Tool to Assess Availability of Container-Based Systems. SOCA Stefano Sebastio, Rahul Ghosh, Avantika Gupta, Tridib Mukherjee
2017	J	`jnl`	An Approach for Resiliency Quantification of Large Scale Systems. SIGMETRICS Perform. Evaluation Rev. Francesco Longo, Rahul Ghosh, Vijay K. Naik, Andrew J. Rindos, Kishor S. Trivedi
2017	B	`conf`	CoMICon: A Co-Operative Management System for Docker Container Images. IC2E Senthil Nathan, Rahul Ghosh, Tridib Mukherjee, Krishnaprasad Narayanan
2017	—	`conf`	Intrusion detection in connected cars. EIT Roland E. Haas, Dietmar P. F. Möller, Prateek Bansal, Rahul Ghosh, Srikrishna S. Bhat
2016	—	`conf`	A novel deep learning architecture for sentiment classification. RAIT Rahul Ghosh, Kumar Ravi, Vadlamani Ravi
2016	—	`conf`	CoCOA: A Framework for Comparing Aggregate Client Operations in BPO Services. SCC Rahul Ghosh, Avantika Gupta, Soumi Chattopadhyay, Ansuman Banerjee, Koustuv Dasgupta
2016	A	`conf`	QoS-Driven Management of Business Process Variants in Cloud Based Execution Environments. ICSOC Rahul Ghosh, Aditya Ghose, Aditya Hegde, Tridib Mukherjee, Adrian Mos
2016	—	`conf`	Resiliency Quantification for Large Scale Systems: An IaaS Cloud Use Case. VALUETOOLS Rahul Ghosh, Francesco Longo, Vijay K. Naik, Andrew J. Rindos, Kishor S. Trivedi
2016	B	`conf`	SCoPe: A Decision System for Large Scale Container Provisioning Management. CLOUD Aditya Hegde, Rahul Ghosh, Tridib Mukherjee, Varun Sharma
2015	A	`conf`	A Scalable Approach for Context Based Complex Service Discovery. ICWS Shruti Kunde, Rahul Ghosh, Tridib Mukherjee, Aditya Hegde, Varun Sharma
2015	B	`conf`	An SRN-Based Resiliency Quantification Approach. Petri Nets Dario Bruneo, Francesco Longo, Marco Scarpa, Antonio Puliafito, Rahul Ghosh, Kishor S. Trivedi
2015	B	`conf`	Analytical Modeling of Reactive Autonomic Management Techniques in IaaS Clouds. CLOUD Dario Bruneo, Francesco Longo, Rahul Ghosh, Marco Scarpa, Antonio Puliafito, Kishor S. Trivedi
2015	—	`conf`	Elitist Quantum-Inspired Differential Evolution Based Wrapper for Feature Subset Selection. MIWAI Vadlamani Srikrishna, Rahul Ghosh, Vadlamani Ravi, Kalyanmoy Deb
2014	—	`ch.`	Performance Analysis for Large IaaS Clouds. Large Scale and Big Data Rahul Ghosh, Francesco Longo, Kishor S. Trivedi
2014	J	`jnl`	Scalable Analytics for IaaS Cloud Availability. IEEE Trans. Cloud Comput. Rahul Ghosh, Francesco Longo, Flavio Frattini, Stefano Russo, Kishor S. Trivedi
2014	J	`jnl`	Stochastic Model Driven Capacity Planning for an Infrastructure-as-a-Service Cloud. IEEE Trans. Serv. Comput. Rahul Ghosh, Francesco Longo, Ruofan Xia, Vijay K. Naik, Kishor S. Trivedi
2013	A	`conf`	Analysis of bugs in Apache Virtual Computing Lab. DSN Flavio Frattini, Rahul Ghosh, Marcello Cinque, Andy J. Rindos, Kishor S. Trivedi
2013	J	`jnl`	Modeling and performance analysis of large scale IaaS Clouds. Future Gener. Comput. Syst. Rahul Ghosh, Francesco Longo, Vijay K. Naik, Kishor S. Trivedi
2013	J	`jnl`	System resiliency quantification using non-state-space and state-space analytic models. Reliab. Eng. Syst. Saf. Rahul Ghosh, Dong Seong Kim, Kishor S. Trivedi
2012	—	`conf`	Biting Off Safely More Than You Can Chew: Predictive Analytics for Resource Over-Commit in IaaS Cloud. IEEE CLOUD Rahul Ghosh, Vijay K. Naik
2011	A	`conf`	A scalable availability model for Infrastructure-as-a-Service cloud. DSN Francesco Longo, Rahul Ghosh, Vijay K. Naik, Kishor S. Trivedi
2011	—	`conf`	Power-performance trade-offs in IaaS cloud: A scalable analytic approach. DSN Workshops Rahul Ghosh, Vijay K. Naik, Kishor S. Trivedi
2010	C	`conf`	A Hierarchical Model for Reliability Analysis of Sensor Networks. PRDC Dong Seong Kim, Rahul Ghosh, Kishor S. Trivedi
2010	C	`conf`	End-to-End Performability Analysis for Infrastructure-as-a-Service Cloud: An Interacting Stochastic Models Approach. PRDC Rahul Ghosh, Kishor S. Trivedi, Vijay K. Naik, Dong Seong Kim
2010	B	`conf`	Quantifying Resiliency of IaaS Cloud. SRDS Rahul Ghosh, Francesco Longo, Vijay K. Naik, Kishor S. Trivedi
2009	J	`jnl`	Poster abstract: BeamCast: harnessing beamforming capabilities for link layer multicast. ACM SIGMOBILE Mob. Comput. Commun. Rev. Souvik Sen, Rahul Ghosh, Jie Xiong, Romit Roy Choudhury
2009	A	`conf`	Resilience in computer systems and networks. ICCAD Kishor S. Trivedi, Dong Seong Kim, Rahul Ghosh
2009	J	`jnl`	SmartGate: A MAC Protocol for Gateway Discovery in Clustered Ad-Hoc Networks. J. Networks Palaniandavar Venkateswaran, Pritam Som, Rahul Ghosh, Aritra Das, Subananda Hansda, Rabindranath Nandi
2008	B	`conf`	Link layer multicasting with smart antennas: No client left behind. ICNP Souvik Sen, Jie Xiong, Rahul Ghosh, Romit Roy Choudhury
2006	J	`jnl`	An Obstacle Based Realistic Ad-Hoc Mobility Model for Social Networks. J. Networks Palaniandavar Venkateswaran, Rahul Ghosh, Aritra Das, Salil Kumar Sanyal, Rabindranath Nandi
2005	—	`conf`	An Efficient Social Network-Mobility Model for MANETs. IWDC Rahul Ghosh, Aritra Das, Palaniandavar Venkateswaran, Salil Kumar Sanyal, Rabindranath Nandi