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Harshit Gupta
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2020 – today
- 2024
- [c34]Harshit Gupta, Enrique Saurez, Henriette Röger, Sukanya Bhowmik, Umakishore Ramachandran, Kurt Rothermel:
Color-based Lightweight Utility-aware Load Shedding for Real-Time Video Analytics at the Edge. DEBS 2024: 123-134 - [c33]Aryaman Rao, Harshit Gupta, Parth Singh, Shivam Mittal, Utkarsh Singh, Dinesh Kumar Vishwakarma:
Optimizing Electric Vehicle Efficiency with Real-Time Telemetry using Machine Learning. ICMRE 2024: 213-219 - [c32]Harshit Gupta, Manav Chaudhary, Shivansh Subramanian, Tathagata Raha, Vasudeva Varma:
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers. SemEval@NAACL 2024: 1758-1766 - [i22]Manav Chaudhary, Harshit Gupta, Vasudeva Varma:
BrainStorm @ iREL at SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets. CoRR abs/2405.11192 (2024) - [i21]Harshit Gupta, Manav Chaudhary, Tathagata Raha, Shivansh Subramanian, Vasudeva Varma:
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers. CoRR abs/2405.16129 (2024) - 2023
- [b1]Harshit Gupta:
Designing Scalable Mechanisms for Geo-Distributed Platform Services in the Presence of Client Mobility. Georgia Institute of Technology, Atlanta, GA, USA, 2023 - [c31]Harshit Gupta, Abhishek Verma, O. P. Vyas, Marco Garofalo, Giuseppe Tricomi, Francesco Longo, Giovanni Merlino, Antonio Puliafito:
Empirical Analysis of Federated Learning Algorithms: A Federated Research Infrastructure Use Case. CLOSER 2023: 324-331 - [c30]Harshit Gupta, Pratyush Pareek, Anirudh Arora, Muskan Deep Kaur Maini, Ramesh Kumar Bhukya, O. P. Vyas, Antonio Puliafito:
Fed-Trace: An Efficient Model to Traceback Data Poisoning Attacks in Federated Learning. ICCST 2023: 1-6 - [c29]Uphar Singh, Deepak Gajjala, Rahamatullah Khondoker, Harshit Gupta, Ayush Sinha, O. P. Vyas:
Anomaly Classification to Enable Self-healing in Cyber Physical Systems Using Process Mining. LION 2023: 1-15 - [c28]Aryaman Sharma, Harshit Gupta, Tabishi Singh, Gaurav Singal, Riti Kushwaha:
NayanCom - A Smart Patient Communication System. O-COCOSDA 2023: 1-8 - [c27]Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma:
Neural Models for Factual Inconsistency Classification with Explanations. ECML/PKDD (3) 2023: 410-427 - [i20]Harshit Gupta, Ajay Kumar Bharti:
Fog Computing& IoT: Overview, Architecture and Applications. CoRR abs/2304.08302 (2023) - [i19]Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma:
Neural models for Factual Inconsistency Classification with Explanations. CoRR abs/2306.08872 (2023) - [i18]Enrique Saurez, Harshit Gupta, Henriette Röger, Sukanya Bhowmik, Umakishore Ramachandran, Kurt Rothermel:
Utility-Aware Load Shedding for Real-time Video Analytics at the Edge. CoRR abs/2307.02409 (2023) - [i17]Harshit Gupta, Ashok Kumar Madan:
Reconfigurable Inspection in Manufacturing: State of the Art and Taxonomy. CoRR abs/2311.06658 (2023) - [i16]Aryaman Rao, Harshit Gupta, Parth Singh, Shivam Mittal, Utkrash Singh, Dinesh Kumar Vishwakarma:
Optimizing Electric Vehicle Efficiency with Real-Time Telemetry using Machine Learning. CoRR abs/2311.08085 (2023) - 2022
- [c26]Harshit Gupta, Tarun Kumar Rajput, Ranjana Vyas, O. P. Vyas, Antonio Puliafito:
Biometric Iris Identifier Recognition with Privacy Preserving Phenomenon: A Federated Learning Approach. ICONIP (7) 2022: 493-504 - [c25]Difei Cao, Jinsun Yoo, Zhuangdi Xu, Enrique Saurez, Harshit Gupta, Tushar Krishna, Umakishore Ramachandran:
MicroEdge: a multi-tenant edge cluster system architecture for scalable camera processing. Middleware 2022: 322-334 - [i15]Shailesh Garg, Harshit Gupta, Souvik Chakraborty:
Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems. CoRR abs/2201.13145 (2022) - [i14]Anirudh Sarma, Hamed Seyedroudbari, Harshit Gupta, Umakishore Ramachandran, Alexandros Daglis:
NFSlicer: Data Movement Optimization for Shallow Network Functions. CoRR abs/2203.02585 (2022) - 2021
- [j10]Harshit Gupta, Michael T. McCann, Laurène Donati, Michael Unser:
CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning. IEEE Trans. Computational Imaging 7: 759-774 (2021) - [j9]Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta, Jérôme Yerly, Matthias Stuber, Michael Unser:
Time-Dependent Deep Image Prior for Dynamic MRI. IEEE Trans. Medical Imaging 40(12): 3337-3348 (2021) - [c24]Enrique Saurez, Harshit Gupta, Alexandros Daglis, Umakishore Ramachandran:
OneEdge: An Efficient Control Plane for Geo-Distributed Infrastructures. SoCC 2021: 182-196 - [c23]Joyraj Bhowmick, Anurag Singh, Harshit Gupta, Raghava Nallanthighal:
A Novel Approach to Computationally Lighter GNSS-Denied UAV Navigation Using Monocular Camera. ICARA 2021: 114-121 - [c22]Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chun Hong Yoon, Daniel Ratner:
CryoPoseNet: End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data. ICCVW 2021: 4049-4059 - [c21]Harshit Gupta, Tyler C. Landle, Umakishore Ramachandran:
ePulsar: Control Plane for Publish-Subscribe Systems on Geo-Distributed Edge Infrastructure. SEC 2021: 228-241 - [i13]Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chuck Yoon, Daniel Ratner:
End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data. CoRR abs/2107.02958 (2021) - 2020
- [j8]Umakishore Ramachandran, Harshit Gupta, Adam Hall, Enrique Saurez, Zhuangdi Xu:
A Case for Elevating the Edge to be a Peer of the Cloud. GetMobile Mob. Comput. Commun. 24(3): 14-19 (2020) - [j7]Vishnuvardhan Varanasi, Harshit Gupta, Rajesh M. Hegde:
A Deep Learning Framework for Robust DOA Estimation Using Spherical Harmonic Decomposition. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1248-1259 (2020) - [j6]Shayan Aziznejad, Harshit Gupta, Joaquim Campos, Michael Unser:
Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant. IEEE Trans. Signal Process. 68: 4688-4699 (2020) - [c20]Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar:
Improving Document Classification with Multi-Sense Embeddings. ECAI 2020: 2030-2037 - [c19]Harshit Gupta, Thong H. Phan, Jaejun Yoo, Michael Unser:
Multi-CryoGAN: Reconstruction of Continuous Conformations in Cryo-EM Using Generative Adversarial Networks. ECCV Workshops (1) 2020: 429-444 - [i12]Shayan Aziznejad, Harshit Gupta, Joaquim Campos, Michael Unser:
Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant. CoRR abs/2001.06263 (2020)
2010 – 2019
- 2019
- [j5]Thomas Debarre, Julien Fageot, Harshit Gupta, Michael Unser:
B-Spline-Based Exact Discretization of Continuous-Domain Inverse Problems With Generalized TV Regularization. IEEE Trans. Inf. Theory 65(7): 4457-4470 (2019) - [c18]Umakishore Ramachandran, Harshit Gupta, Adam Hall, Enrique Saurez, Zhuangdi Xu:
Elevating the Edge to Be a Peer of the Cloud. CLOUD 2019: 17-24 - [c17]Harshit Gupta, Abhigyan Sharma, Alex Zelezniak, Minsung Jang, Umakishore Ramachandran:
A Black-Box Approach for Estimating Utilization of Polled IO Network Functions. HotCloud 2019 - [c16]Thomas Debarre, Julien Fageot, Harshit Gupta, Michael Unser:
Solving Continuous-domain Problems Exactly with Multiresolution B-splines. ICASSP 2019: 5122-5126 - [c15]Harshit Daga, Hobin Yoon, Ketan Bhardwaj, Harshit Gupta, Ada Gavrilovska:
From Back-of-the-Envelope to Informed Estimation of Edge Computing Benefits in Minutes Using Castnet. ICFC 2019: 165-174 - [i11]Kyong Hwan Jin, Harshit Gupta, Jerome Yerly, Matthias Stuber, Michael Unser:
Time-Dependent Deep Image Prior for Dynamic MRI. CoRR abs/1910.01684 (2019) - [i10]Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar:
Improving Document Classification with Multi-Sense Embeddings. CoRR abs/1911.07918 (2019) - 2018
- [j4]Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser:
CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction. IEEE Trans. Medical Imaging 37(6): 1440-1453 (2018) - [j3]Harshit Gupta, Julien Fageot, Michael Unser:
Continuous-Domain Solutions of Linear Inverse Problems With Tikhonov Versus Generalized TV Regularization. IEEE Trans. Signal Process. 66(17): 4670-4684 (2018) - [c14]Zhuangdi Xu, Harshit Gupta, Umakishore Ramachandran:
STTR: A System for Tracking All Vehicles All the Time At the Edge of the Network. DEBS 2018: 124-135 - [c13]Harshit Gupta, Umakishore Ramachandran:
FogStore: A Geo-Distributed Key-Value Store Guaranteeing Low Latency for Strongly Consistent Access. DEBS 2018: 148-159 - [c12]Harshit Gupta, Zhuangdi Xu, Umakishore Ramachandran:
DataFog: Towards a Holistic Data Management Platform for the IoT Age at the Network Edge. HotEdge 2018 - [c11]Ashiwani Yadav, Jagannath Patra, Nitai Pal, Harshit Gupta:
Performance analysis of VSI based standalone PV generation system connected to induction motor. RAIT 2018: 1-6 - [c10]Harshit Gupta, Priyal Gupta, Praveen Kumar, Atul Kumar Gupta, Praveen Kumar Mathur:
Passive Optical Networks: Review and Road Ahead. TENCON 2018: 919-924 - [i9]Harshit Gupta, Julien Fageot, Michael Unser:
Continuous-Domain Solutions of Linear Inverse Problems with Tikhonov vs. Generalized TV Regularization. CoRR abs/1802.01344 (2018) - [i8]Shubha Brata Nath, Harshit Gupta, Sandip Chakraborty, Soumya K. Ghosh:
A Survey of Fog Computing and Communication: Current Researches and Future Directions. CoRR abs/1804.04365 (2018) - 2017
- [j2]Harshit Gupta, Amir Vahid Dastjerdi, Soumya K. Ghosh, Rajkumar Buyya:
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments. Softw. Pract. Exp. 47(9): 1275-1296 (2017) - [c9]Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran:
The Fog Makes Sense: Enabling Social Sensing Services with Limited Internet Connectivity. SocialSens@CPSWeek 2017: 61-66 - [c8]Ruben Mayer, Leon Graser, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran:
EmuFog: Extensible and scalable emulation of large-scale fog computing infrastructures. FWC 2017: 1-6 - [c7]Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran:
FogStore: Toward a distributed data store for Fog computing. FWC 2017: 1-6 - [c6]Satadal Sengupta, Vinay Kumar Yadav, Yash Saraf, Harshit Gupta, Niloy Ganguly, Sandip Chakraborty, Pradipta De:
MoViDiff: Enabling service differentiation for mobile video apps. IM 2017: 537-543 - [c5]Enrique Saurez, Harshit Gupta, Umakishore Ramachandran, Ruben Mayer:
Fog Computing for Improving User Application Interaction and Context Awareness: Demo Abstract. IoTDI 2017: 281-282 - [c4]Harshit Gupta, Daniel Schmitter, Virginie Uhlmann, Michael Unser:
General surface energy for spinal cord and aorta segmentation. ISBI 2017: 319-322 - [i7]Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran:
The Fog Makes Sense: Enabling Social Sensing Services With Limited Internet Connectivity. CoRR abs/1703.01975 (2017) - [i6]Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser:
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction. CoRR abs/1709.01809 (2017) - [i5]Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran:
FogStore: Toward a Distributed Data Store for Fog Computing. CoRR abs/1709.07558 (2017) - [i4]Ruben Mayer, Leon Graser, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran:
EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures. CoRR abs/1709.07563 (2017) - 2016
- [j1]Michael Unser, Julien Fageot, Harshit Gupta:
Representer Theorems for Sparsity-Promoting ℓ1 Regularization. IEEE Trans. Inf. Theory 62(9): 5167-5180 (2016) - [c3]Satadal Sengupta, Harshit Gupta, Pradipta De, Bivas Mitra, Sandip Chakraborty, Niloy Ganguly:
Understanding data traffic behaviour for smartphone video and audio apps. COMSNETS 2016: 1-2 - [c2]Harshit Gupta, Aditi Mehta, K. Shambavi:
Miniaturization of a novel rat race coupler: A comparative analysis. WOCN 2016: 1-3 - [i3]Amir Vahid Dastjerdi, Harshit Gupta, Rodrigo N. Calheiros, Soumya K. Ghosh, Rajkumar Buyya:
Fog Computing: Principles, Architectures, and Applications. CoRR abs/1601.02752 (2016) - [i2]Harshit Gupta, Amir Vahid Dastjerdi, Soumya K. Ghosh, Rajkumar Buyya:
iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments. CoRR abs/1606.02007 (2016) - [i1]Harshit Gupta, Shubha Brata Nath, Sandip Chakraborty, Soumya K. Ghosh:
SDFog: A Software Defined Computing Architecture for QoS Aware Service Orchestration over Edge Devices. CoRR abs/1609.01190 (2016) - 2014
- [c1]Dharavath Ramesh, Harshit Gupta, Kuljeet Singh, Chiranjeev Kumar:
Hash Based Incremental Optimistic Concurrency Control Algorithm in Distributed Databases. ISI (2) 2014: 139-150
Coauthor Index
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last updated on 2024-11-15 19:32 CET by the dblp team
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