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ORCIDHarsh Gupta
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Books and Theses
- 2020
[b1]Harsh Gupta:
Sample-efficient reinforcement learning. University of Illinois Urbana-Champaign, USA, 2020
Journal Articles
- 2023
- [j8]Harsh Gupta, Naman Bansal
, Swati Garg, Hritesh Mallik, Anju Prabha, Jyoti Yadav:
A hybrid convolutional neural network model to detect COVID-19 and pneumonia using chest X-ray images. Int. J. Imaging Syst. Technol. 33(1): 39-52 (2023) - [j7]Upendra Kumar Acharya, Mohammad Taha Ali, Mohd Kaif Ahmed, Mohd Tabish Siddiqui, Harsh Gupta, Sandeep Kumar, Ajey Shakti Mishra:
Hybrid deep neural network for automatic detection of COVID-19 using chest x-ray images. Int. J. Imaging Syst. Technol. 33(4): 1129-1143 (2023) - [j6]Koyel Datta Gupta, Deepak Kumar Sharma, Shakib Ahmed, Harsh Gupta, Deepak Gupta, Ching-Hsien Hsu:
A Novel Lightweight Deep Learning-Based Histopathological Image Classification Model for IoMT. Neural Process. Lett. 55(1): 205-228 (2023) - 2022
- [j5]Harsh Gupta, Mason A. Porter:
Mixed logit models and network formation. J. Complex Networks 10(6) (2022) - 2021
- [j4]Pramod Gaur, Harsh Gupta, Anirban Chowdhury, Karl A. McCreadie, Ram Bilas Pachori, Hui Wang:
A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - 2017
- [j3]Aaron Meurer, Christopher P. Smith, Mateusz Paprocki, Ondrej Certík, Sergey B. Kirpichev, Matthew Rocklin, Amit Kumar, Sergiu Ivanov, Jason Keith Moore, Sartaj Singh, Thilina Rathnayake, Sean Vig, Brian E. Granger, Richard P. Muller, Francesco Bonazzi, Harsh Gupta, Shivam Vats, Fredrik Johansson, Fabian Pedregosa, Matthew J. Curry, Andy R. Terrel, Stepán Roucka, Ashutosh Saboo, Isuru Fernando, Sumith Kulal, Robert Cimrman, Anthony M. Scopatz:
SymPy: symbolic computing in Python. PeerJ Comput. Sci. 3: e103 (2017) - 2003
- [j2]Hsinchun Chen, Jennifer Schroeder, Roslin V. Hauck, Linda Ridgeway, Homa Atabakhsh, Harsh Gupta, Chris Boarman, Kevin Rasmussen, Andy W. Clements:
COPLINK Connect: information and knowledge management for law enforcement. Decis. Support Syst. 34(3): 271-285 (2003) - 2002
- [j1]Roslin V. Hauck, Homa Atabakhsh, Pichai Ongvasith, Harsh Gupta, Hsinchun Chen:
Using Coplink to Analyze Criminal-Justice Data. Computer 35(3): 30-37 (2002)
Conference and Workshop Papers
- 2023
- [c20]Harsh Gupta, Ankita Jaiswal, Pavinder Yadav, Nidhi Gupta:
Deep Learning Based Automated Electronic Meter Reading System using YOLOv5 Architecture. BDMIP 2023: 45-53 - [c19]Tuo Zhang, Harsh Gupta, Kumar Suprabhat, Leonardo Stella:
A Multi-Agent Reinforcement Learning Approach to Promote Cooperation in Evolutionary Games on Networks with Environmental Feedback. CDC 2023: 2196-2201 - [c18]Akshat Gour, Harsh Gupta, Mohit Gupta, Himanshu Agrawal:
Augmented Reality Based Fashion Store. IC3 2023: 437-442 - 2022
- [c17]Harsh Gupta, Jiangong Chen, Bin Li, R. Srikant:
Online Learning-Based Rate Selection for Wireless Interactive Panoramic Scene Delivery. INFOCOM 2022: 1799-1808 - 2021
- [c16]Harsh Gupta, Luciano Del Corro, Samuel Broscheit, Johannes Hoffart, Eliot Brenner:
Unsupervised Multi-View Post-OCR Error Correction With Language Models. EMNLP (1) 2021: 8647-8652 - [c15]Joseph Lubars, Harsh Gupta, Sandeep Chinchali, Liyun Li, Adnan Raja, R. Srikant, Xinzhou Wu:
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging. ITSC 2021: 942-947 - [c14]Bhawana Chhaglani, Harsh Gupta, Khadija Ashraf, Ashwin Ashok:
Position: drone camera communication meets robotic soil sensing. IoL@MobiSys 2021: 18-20 - 2020
- [c13]Siddhartha Satpathi, Harsh Gupta, Shiyu Liang, R. Srikant:
The Role of Regularization in Overparameterized Neural Networks. CDC 2020: 4683-4688 - [c12]Wentao Weng, Harsh Gupta, Niao He, Lei Ying, R. Srikant:
The Mean-Squared Error of Double Q-Learning. NeurIPS 2020 - 2019
- [c11]Harsh Gupta, Atilla Eryilmaz, R. Srikant:
Link Rate Selection using Constrained Thompson Sampling. INFOCOM 2019: 739-747 - [c10]Shin Sawai, Harsh Gupta, Tuhin Subhra Santra, Azusa Kage, Takayuki Shibata, Moeto Nagai:
Nanosecond Laser Irradiation on Cells Using Titanium Thin Film for Massively Parallel Cell Intranuclear Delivery. MHS 2019: 1-4 - [c9]Harsh Gupta, R. Srikant, Lei Ying:
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning. NeurIPS 2019: 4706-4715 - [c8]Harsh Gupta, Niao He, R. Srikant:
Optimization and Learning Algorithms for Stochastic and Adversarial Power Control. WiOpt 2019: 1-8 - 2018
- [c7]Saquib Nadeem Hashmi, Harsh Gupta, Dhruv Mittal, Kaushtubh Kumar, Aparajita Nanda, Sarishty Gupta:
A Lip Reading Model Using CNN with Batch Normalization. IC3 2018: 1-6 - [c6]Seyyed Ahmad Javadi, Harsh Gupta, Robin Manhas, Shweta Sahu, Anshul Gandhi:
EASY: Efficient Segment Assignment Strategy for Reducing Tail Latencies in Pinot. ICDCS 2018: 1432-1437 - [c5]Harsh Gupta, Atilla Eryilmaz, R. Srikant:
Low-Complexity, Low-Regret Link Rate Selection in Rapidly-Varying Wireless Channels. INFOCOM 2018: 540-548 - [c4]Harsh Gupta, Keisuke Funahashi, Naoki Iwasaki, Toshiki Minemura, Shin Sawai, Pallavi Shinde, Tuhin Subhra Santra, Takayuki Shibata, Moeto Nagai:
Uniform Transfection: Shock Wave Generation in Laser Ablation and Microcontact Printing. MHS 2018: 1-5 - 2017
- [c3]Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy:
Multimodal Content Analysis for Effective Advertisements on YouTube. ICDM 2017: 1123-1128 - 2016
- [c2]Maximilian Klein, Harsh Gupta, Vivek Rai, Piotr Konieczny, Haiyi Zhu:
Monitoring the Gender Gap with Wikidata Human Gender Indicators. OpenSym 2016: 16:1-16:9 - 2014
- [c1]Nikhil Batra, Harsh Gupta, Nakul Yadav, Anshika Gupta, Amita Yadav:
Implementation of augmented reality in cricket for ball tracking and automated decision making for no ball. ICACCI 2014: 316-321
Data and Artifacts
- 2021
- [d1]Harsh Gupta, Bhawana Chagglani, Khadija Ashraf, Ashwin Ashok:
VTS 2021 UAV Innovation Challenge - Georgia State University. IEEE DataPort, 2021
Informal and Other Publications
- 2024
- [i11]Rishubh Parihar, Harsh Gupta, Sachidanand VS, R. Venkatesh Babu:
Text2Place: Affordance-aware Text Guided Human Placement. CoRR abs/2407.15446 (2024) - 2022
- [i10]Swayangprabha Shaw, Harsh Gupta, Shahid M. Shah, Ankur Raina:
Construction of non-CSS quantum codes using measurements on cluster states. CoRR abs/2207.04996 (2022) - [i9]Sushant Lenka, Pratyush Kerhalkar, Pranav Shetty, Harsh Gupta, Bhavam Vidyarthi, Ujjwal Verma:
Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images. CoRR abs/2210.01588 (2022) - 2020
- [i8]Harsh Gupta, Mason A. Porter:
Mixed Logit Models and Network Formation. CoRR abs/2006.16516 (2020) - [i7]Wentao Weng, Harsh Gupta, Niao He, Lei Ying, R. Srikant:
Provably-Efficient Double Q-Learning. CoRR abs/2007.05034 (2020) - [i6]Joseph Lubars, Harsh Gupta, Adnan Raja, R. Srikant, Liyun Li, Xinzhou Wu:
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging. CoRR abs/2011.08484 (2020) - 2019
- [i5]Harsh Gupta, Seo Taek Kong, R. Srikant, Weina Wang:
Almost Boltzmann Exploration. CoRR abs/1901.08708 (2019) - [i4]Harsh Gupta, R. Srikant, Lei Ying:
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning. CoRR abs/1907.06290 (2019) - 2017
- [i3]Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy:
Multimodal Content Analysis for Effective Advertisements on YouTube. CoRR abs/1709.03946 (2017) - 2016
- [i2]Harsh Gupta:
(Lack Of) Representation of Non Western World in process of creation of Web standards. CoRR abs/1609.01996 (2016) - [i1]Aaron Meurer, Christopher P. Smith, Mateusz Paprocki, Ondrej Certík, Matthew Rocklin, Amit Kumar, Sergiu Ivanov, Jason Keith Moore, Sartaj Singh, Thilina Rathnayake, Sean Vig, Brian E. Granger, Richard P. Muller, Francesco Bonazzi, Harsh Gupta, Shivam Vats, Fredrik Johansson, Fabian Pedregosa, Matthew J. Curry, Ashutosh Saboo, Isuru Fernando, Sumith Kulal, Robert Cimrman, Anthony M. Scopatz:
SymPy: Symbolic computing in Python. PeerJ Prepr. 4: e2083 (2016)
Coauthor Index
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