Shubho Sengupta

5.5k citations

13 papers · 447 indexed · 1 hit paper · h-index 7

Impact in

Software top 5%
- Software Testing and Debugging Techniques
Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques

Papers in

Software 3
- Software Testing and Debugging Techniques 3
- Software Reliability and Analysis Research 2
Hardware and Architecture 2

Co-authors: Mark Harman Shin Yoo Jie M. Zhang Angela Fan Narayanan Sundaram M. Amber Hassaan Nadathur Satish Jiwon Seo
Journals: IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)Proceedings on Privacy Enhancing Technologies (1 paper)Scholarworks@UNIST (Ulsan National Institute of Science and Technology) (1 paper)International Conference on Machine Learning (2 papers)
Partner nations: United States United Kingdom South Korea

In The Last Decade

Shubho Sengupta

11 papers receiving 425 citations

Hit Papers

align trajectories log scale

Large Language Models for Software Engineering: Survey and Open Problems 2023 · 157 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Large Language Models for Software Engineering: Survey and Open Problems

Peers

Countries citing papers authored by Shubho Sengupta

Since Specialization

Citations

This map shows the geographic impact of Shubho Sengupta's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shubho Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubho Sengupta more than expected).

Fields of papers citing papers by Shubho Sengupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shubho Sengupta. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shubho Sengupta. The network helps show where Shubho Sengupta may publish in the future.

Co-authors

The 25 scholars most cited alongside Shubho Sengupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shubho Sengupta Line = papers co-authored together Shubho Sengupta links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

#	Work
1	Mutation-Guided LLM-based Test Generation at Meta Mark Harman, James O. Ritchey, Inna Harper, Shubho Sengupta, Ke Mao, Arvind Gulati, Christopher Foster, Hervé Robert	2025	0
2	Revisiting Reliability in Large-Scale Machine Learning Research Clusters Apostolos Kokolis, Michael Kuchnik, John P. Hoffman, Adithya Kumar, Parth Malani, Famai Ma, Zachary DeVito, Shubho Sengupta, Kalyan Saladi, Carole-Jean Wu	2025	5
3	Assured Offline LLM-Based Software Engineering Nadia Alshahwan, Mark Harman, Inna Harper, Alexandru Marginean, Shubho Sengupta, E. Wang	2024	13
4	Automated Unit Test Improvement using Large Language Models at Meta Nadia Alshahwan, Jubin Chheda, Anastasia Finogenova, Beliz Gokkaya, Mark Harman, Inna Harper, Alexandru Marginean, Shubho Sengupta, E. Wang	2024	40
5	Delegated Private Matching For Compute Proceedings on Privacy Enhancing Technologies ·Dimitris Mouris, Daniel Masny, Ni Trieu, Shubho Sengupta, Prasad Buddhavarapu, Benjamin Case	2024	1
6	Large Language Models for Software Engineering: Survey and Open Problems Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, Jie M. Zhang Hit paper breakdown →	2023	157
7	Parallel Composition of Weighted Finite-State Transducers ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Shubho Sengupta, Vineel Pratap, Awni Hannun	2022	0
8	Privacy-Preserving Randomized Controlled Trials Mahnush Movahedi, Benjamin M. Case, James Honaker, Andrew Knox, Li Li, Yiming Paul Li, Sanjay Saravanan, Shubho Sengupta, Erik Taubeneck	2021	4
9	Deep Voice: Real-time Neural Text-to-Speech International Conference on Machine Learning ·Sercan Ö. Arık, Mike Chrzanowski, Adam Coates, Gregory Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, J. J. Miller, Andrew Y. Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi	2017	39
10	Persistent RNNs: stashing recurrent weights on-chip International Conference on Machine Learning ·Gregory Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse Engel, Awni Hannun, Sanjeev Satheesh	2016	36
11	Navigating the maze of graph analytics frameworks using massive graph datasets Scholarworks@UNIST (Ulsan National Institute of Science and Technology) ·Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Jiwon Seo, Jongsoo Park, M. Amber Hassaan, Shubho Sengupta, Zhaoming Yin, Pradeep Dubey	2014	126
12	Neural Networks and Applications Shubho Sengupta	2014	3
13	Highly regular, modular, and cascadable design of cellular automata-based pattern classifier IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Subhrendu Chattopadhyay, Samrachana Adhikari, Shubho Sengupta, Madhumangal Pal	2000	23

About Shubho Sengupta

Shubho Sengupta is a scholar working on Software, Hardware and Architecture, Artificial Intelligence, Signal Processing and Information Systems and Management, having authored 13 papers that have together received 447 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (3 papers), Speech Recognition and Synthesis (3 papers), Software Reliability and Analysis Research (2 papers), Privacy-Preserving Technologies in Data (2 papers), Music and Audio Processing (2 papers), Stochastic Gradient Optimization Techniques (1 paper), Speech and Audio Processing (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Software (91 citations), Hardware and Architecture (86 citations), Health Informatics (10 citations), Information Systems (153 citations) and Computer Vision and Pattern Recognition (125 citations). Shubho Sengupta has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Mark Harman, Shin Yoo, Jie M. Zhang, Angela Fan, Narayanan Sundaram, M. Amber Hassaan, Nadathur Satish, Jiwon Seo, Jongsoo Park and Md. Mostofa Ali Patwary. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Proceedings on Privacy Enhancing Technologies, Scholarworks@UNIST (Ulsan National Institute of Science and Technology) and International Conference on Machine Learning.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact