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ORCIDRahul Ghosh
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- affiliation: Duke University
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2020 – today
- 2024
[j15]Erhu He
, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia:
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. IEEE Trans. Knowl. Data Eng. 36(9): 4750-4765 (2024)- [c47]Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed, George Arthur Baker, Rahul Ghosh, James H. Martin, Nathaniel Blanchard, Nikhil Krishnaswamy:
Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles. LREC/COLING 2024: 11901-11916 - [c46]Anuvab Sen, Subhabrata Roy, Ariv Debnath, Gourav Jha, Rahul Ghosh:
DE-ViT: State-Of-The-Art Vision Transformer Model for Early Detection of Alzheimer's Disease. NCC 2024: 1-6 - [c45]Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar:
Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. SDM 2024: 334-342 - [c44]Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar:
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. SDM 2024: 445-453 - [i21]Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar:
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. CoRR abs/2401.15875 (2024) - [i20]Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed, George Baker, Rahul Ghosh, James H. Martin, Nathaniel Blanchard, Nikhil Krishnaswamy:
Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles. CoRR abs/2404.08949 (2024) - [i19]Praveen Ravirathinam, Ankush Khandelwal, Rahul Ghosh, Vipin Kumar:
Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications. CoRR abs/2407.19660 (2024) - [i18]Rahul Ghosh, Zac McEachran, Arvind Renganathan, Kelly Lindsay, Somya Sharma Chatterjee, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar:
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. CoRR abs/2407.20152 (2024) - [i17]Shaoming Xu, Arvind Renganathan, Ankush Khandelwal, Rahul Ghosh, Xiang Li, Licheng Liu, Kshitij Tayal, Peter Harrington, Xiaowei Jia, Zhenong Jin, John Nieber, Vipin Kumar:
Hierarchical Conditional Multi-Task Learning for Streamflow Modeling. CoRR abs/2410.14137 (2024) - 2023
- [j14]Bijan Bagchi, Rahul Ghosh, Sauvik Sen:
Analogue Hawking Radiation as a Tunneling in a Two-Level PT-Symmetric System. Entropy 25(8): 1202 (2023) - [j13]Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam:
Harnessing heterogeneity in space with statistically guided meta-learning. Knowl. Inf. Syst. 65(6): 2699-2729 (2023) - [j12]Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai:
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. 15(1): 141 (2023) - [c43]Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. ICDM 2023: 588-597 - [c42]Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar:
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. SDM 2023: 487-495 - [c41]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:
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. SDM 2023: 649-657 - [c40]Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar:
Probabilistic Inverse Modeling: An Application in Hydrology. SDM 2023: 847-855 - [i16]Leikun Yin, Rahul Ghosh, Chenxi Lin, David Hale, Christoph Weigl, James Obarowski, Junxiong Zhou, Jessica Till, Xiaowei Jia, Troy Mao, Vipin Kumar, Zhenong Jin:
Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin. CoRR abs/2301.00363 (2023) - [i15]Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar:
Entity Aware Modelling: A Survey. CoRR abs/2302.08406 (2023) - [i14]Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. CoRR abs/2309.10291 (2023) - [i13]Somya Sharma Chatterjee, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar:
Uncertainty Quantification in Inverse Models in Hydrology. CoRR abs/2310.02193 (2023) - [i12]Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar:
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems. CoRR abs/2310.04727 (2023) - [i11]Sayan Putatunda, Anwesha Bhowmik, Girish Thiruvenkadam, Rahul Ghosh:
A BERT based Ensemble Approach for Sentiment Classification of Customer Reviews and its Application to Nudge Marketing in e-Commerce. CoRR abs/2311.10782 (2023) - 2022
- [c39]Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam:
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. AAAI 2022: 12208-12216 - [c38]Rahul Ghosh, Xiaowei Jia, Leikun Yin, Chenxi Lin, Zhenong Jin, Vipin Kumar:
Clustering augmented self-supervised learning: an application to land cover mapping. SIGSPATIAL/GIS 2022: 3:1-3:10 - [c37]Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam:
Sailing in the location-based fairness-bias sphere. SIGSPATIAL/GIS 2022: 41:1-41:10 - [c36]Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia:
Meta-Transfer Learning: An application to Streamflow modeling in River-streams. ICDM 2022: 161-170 - [c35]Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam:
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). IJCAI 2022: 5364-5368 - [c34]Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar:
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. KDD 2022: 465-474 - [c33]Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar:
Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. SDM 2022: 702-710 - [i10]Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar:
Probabilistic Inverse Modeling: An Application in Hydrology. CoRR abs/2210.06213 (2022) - [i9]Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar:
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. CoRR abs/2210.07522 (2022) - [i8]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:
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. CoRR abs/2210.08347 (2022) - 2021
- [j11]Kelvin K. Wong, Jonathon S. Cummock, Yunjie He, Rahul Ghosh, John Volpi, Stephen T. C. Wong:
Retrospective study of deep learning to reduce noise in non-contrast head CT images. Comput. Medical Imaging Graph. 94: 101996 (2021) - [j10]Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai:
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. 13(9): 1740 (2021) - [j9]Stefano Sebastio, Rahul Ghosh, Tridib Mukherjee:
An Availability Analysis Approach for Deployment Configurations of Containers. IEEE Trans. Serv. Comput. 14(1): 16-29 (2021) - [c32]Morten Hagen, Piyush Arora, Rahul Ghosh, Dawn Thomas, Salil Rajeev Joshi:
Class-Based Order-Independent Models of Natural Language for Bayesian Auto-Complete Inference. AIMLSystems 2021: 20:1-20:7 - [c31]Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar:
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. IEEE BigData 2021: 1399-1408 - [c30]Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar:
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. IEEE BigData 2021: 1625-1632 - [c29]Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam:
Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. SIGSPATIAL/GIS 2021: 313-323 - [c28]Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam:
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. ICDM 2021: 767-776 - [i7]Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Land Cover Mapping in Limited Labels Scenario: A Survey. CoRR abs/2103.02429 (2021) - [i6]Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar:
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. CoRR abs/2105.02963 (2021) - [i5]Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar:
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. CoRR abs/2107.12499 (2021) - [i4]Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar:
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping. CoRR abs/2108.07323 (2021) - [i3]Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Weakly Supervised Classification Using Group-Level Labels. CoRR abs/2108.07330 (2021) - [i2]Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Nieber, Christopher J. Duffy, Vipin Kumar:
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. CoRR abs/2109.06429 (2021) - 2020
- [c27]Kshitij Tayal, Rahul Ghosh, Vipin Kumar:
Model-agnostic Methods for Text Classification with Inherent Noise. COLING (Industry) 2020: 202-213 - [c26]Soumi Chattopadhyay, Rahul Ghosh, Ansuman Banerjee, Avantika Gupta, Arpit Jain:
FINESSE: Fair Incentives for Enterprise Employees. RCIS 2020: 191-211 - [c25]Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar:
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. SDM 2020: 253-261 - [i1]Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar:
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. CoRR abs/2001.00994 (2020)
2010 – 2019
- 2019
- [c24]Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar:
Spatio-temporal classification at multiple resolutions using multi-view regularization. IEEE BigData 2019: 4117-4120 - [c23]Varun Natu, Rahul Ghosh:
EasyDist: An End-to-End Distributed Deep Learning Tool for Cloud. COMAD/CODS 2019: 265-268 - 2018
- [c22]Stefano Sebastio, Rahul Ghosh, Avantika Gupta, Tridib Mukherjee:
ContAv: A Tool to Assess Availability of Container-Based Systems. SOCA 2018: 25-32 - 2017
- [j8]Francesco Longo, Rahul Ghosh, Vijay K. Naik, Andrew J. Rindos, Kishor S. Trivedi:
An Approach for Resiliency Quantification of Large Scale Systems. SIGMETRICS Perform. Evaluation Rev. 44(4): 37-48 (2017) - [c21]Roland E. Haas, Dietmar P. F. Möller, Prateek Bansal, Rahul Ghosh, Srikrishna S. Bhat:
Intrusion detection in connected cars. EIT 2017: 516-519 - [c20]Senthil Nathan, Rahul Ghosh, Tridib Mukherjee, Krishnaprasad Narayanan:
CoMICon: A Co-Operative Management System for Docker Container Images. IC2E 2017: 116-126 - 2016
- [c19]Aditya Hegde, Rahul Ghosh, Tridib Mukherjee, Varun Sharma:
SCoPe: A Decision System for Large Scale Container Provisioning Management. CLOUD 2016: 220-227 - [c18]Rahul Ghosh, Avantika Gupta, Soumi Chattopadhyay, Ansuman Banerjee, Koustuv Dasgupta:
CoCOA: A Framework for Comparing Aggregate Client Operations in BPO Services. SCC 2016: 539-546 - [c17]Rahul Ghosh, Aditya Ghose, Aditya Hegde, Tridib Mukherjee, Adrian Mos:
QoS-Driven Management of Business Process Variants in Cloud Based Execution Environments. ICSOC 2016: 55-69 - [c16]Rahul Ghosh, Kumar Ravi, Vadlamani Ravi:
A novel deep learning architecture for sentiment classification. RAIT 2016: 511-516 - [c15]Rahul Ghosh, Francesco Longo, Vijay K. Naik, Andrew J. Rindos, Kishor S. Trivedi:
Resiliency Quantification for Large Scale Systems: An IaaS Cloud Use Case. VALUETOOLS 2016 - 2015
- [c14]Dario Bruneo, Francesco Longo, Rahul Ghosh, Marco Scarpa, Antonio Puliafito, Kishor S. Trivedi:
Analytical Modeling of Reactive Autonomic Management Techniques in IaaS Clouds. CLOUD 2015: 797-804 - [c13]Dario Bruneo, Francesco Longo, Marco Scarpa, Antonio Puliafito, Rahul Ghosh, Kishor S. Trivedi:
An SRN-Based Resiliency Quantification Approach. Petri Nets 2015: 98-116 - [c12]Shruti Kunde, Rahul Ghosh, Tridib Mukherjee, Aditya Hegde, Varun Sharma:
A Scalable Approach for Context Based Complex Service Discovery. ICWS 2015: 527-534 - [c11]Vadlamani Srikrishna, Rahul Ghosh, Vadlamani Ravi, Kalyanmoy Deb:
Elitist Quantum-Inspired Differential Evolution Based Wrapper for Feature Subset Selection. MIWAI 2015: 113-124 - 2014
- [j7]Rahul Ghosh, Francesco Longo, Flavio Frattini, Stefano Russo, Kishor S. Trivedi:
Scalable Analytics for IaaS Cloud Availability. IEEE Trans. Cloud Comput. 2(1): 57-70 (2014) - [j6]Rahul Ghosh, Francesco Longo, Ruofan Xia, Vijay K. Naik, Kishor S. Trivedi:
Stochastic Model Driven Capacity Planning for an Infrastructure-as-a-Service Cloud. IEEE Trans. Serv. Comput. 7(4): 667-680 (2014) - [p1]Rahul Ghosh, Francesco Longo, Kishor S. Trivedi:
Performance Analysis for Large IaaS Clouds. Large Scale and Big Data 2014: 557-578 - 2013
- [j5]Rahul Ghosh, Francesco Longo, Vijay K. Naik, Kishor S. Trivedi:
Modeling and performance analysis of large scale IaaS Clouds. Future Gener. Comput. Syst. 29(5): 1216-1234 (2013) - [j4]Rahul Ghosh, Dong Seong Kim, Kishor S. Trivedi:
System resiliency quantification using non-state-space and state-space analytic models. Reliab. Eng. Syst. Saf. 116: 109-125 (2013) - [c10]Flavio Frattini, Rahul Ghosh, Marcello Cinque, Andy J. Rindos, Kishor S. Trivedi:
Analysis of bugs in Apache Virtual Computing Lab. DSN 2013: 1-6 - 2012
- [c9]Rahul Ghosh, Vijay K. Naik:
Biting Off Safely More Than You Can Chew: Predictive Analytics for Resource Over-Commit in IaaS Cloud. IEEE CLOUD 2012: 25-32 - 2011
- [c8]Rahul Ghosh, Vijay K. Naik, Kishor S. Trivedi:
Power-performance trade-offs in IaaS cloud: A scalable analytic approach. DSN Workshops 2011: 152-157 - [c7]Francesco Longo, Rahul Ghosh, Vijay K. Naik, Kishor S. Trivedi:
A scalable availability model for Infrastructure-as-a-Service cloud. DSN 2011: 335-346 - 2010
- [c6]Rahul Ghosh, Kishor S. Trivedi, Vijay K. Naik, Dong Seong Kim:
End-to-End Performability Analysis for Infrastructure-as-a-Service Cloud: An Interacting Stochastic Models Approach. PRDC 2010: 125-132 - [c5]Dong Seong Kim, Rahul Ghosh, Kishor S. Trivedi:
A Hierarchical Model for Reliability Analysis of Sensor Networks. PRDC 2010: 247-248 - [c4]Rahul Ghosh, Francesco Longo, Vijay K. Naik, Kishor S. Trivedi:
Quantifying Resiliency of IaaS Cloud. SRDS 2010: 343-347
2000 – 2009
- 2009
- [j3]Palaniandavar Venkateswaran, Pritam Som, Rahul Ghosh, Aritra Das, Subananda Hansda, Rabindranath Nandi:
SmartGate: A MAC Protocol for Gateway Discovery in Clustered Ad-Hoc Networks. J. Networks 4(3): 208-215 (2009) - [j2]Souvik Sen, Rahul Ghosh, Jie Xiong, Romit Roy Choudhury:
Poster abstract: BeamCast: harnessing beamforming capabilities for link layer multicast. ACM SIGMOBILE Mob. Comput. Commun. Rev. 13(3): 34-37 (2009) - [c3]Kishor S. Trivedi, Dong Seong Kim, Rahul Ghosh:
Resilience in computer systems and networks. ICCAD 2009: 74-77 - 2008
- [c2]Souvik Sen, Jie Xiong, Rahul Ghosh, Romit Roy Choudhury:
Link layer multicasting with smart antennas: No client left behind. ICNP 2008: 53-62 - 2006
- [j1]Palaniandavar Venkateswaran, Rahul Ghosh, Aritra Das, Salil Kumar Sanyal, Rabindranath Nandi:
An Obstacle Based Realistic Ad-Hoc Mobility Model for Social Networks. J. Networks 1(2): 37-44 (2006) - 2005
- [c1]Rahul Ghosh, Aritra Das, Palaniandavar Venkateswaran, Salil Kumar Sanyal, Rabindranath Nandi:
An Efficient Social Network-Mobility Model for MANETs. IWDC 2005: 349-354
Coauthor Index
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