2026 Baishakhi Ray: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	37	10570	10272	4427	4243	169	7779

Overview

Baishakhi Ray is affiliated with Columbia University in the United States and has made significant contributions to the field of Computer Science. Their body of work includes 185 publications, primarily focused on software engineering and related subfields.

The main fields of study for Baishakhi Ray include:

Computer Science

Their research spans several subfields, notably:

Information Systems
Artificial Intelligence
Software
Computer Networks and Communications
Signal Processing

Baishakhi Ray's work covers a variety of topics, emphasizing software engineering and testing, malware detection, and reliability, among others. The main topics they have published on are:

Software Engineering Research
Software Testing and Debugging Techniques
Advanced Malware Detection Techniques
Software System Performance and Reliability
Software Reliability and Analysis Research
Topic Modeling
Adversarial Robustness in Machine Learning

The scientist has published papers in several venues, with multiple articles appearing in well-known journals and conferences. Frequent publication venues include:

arXiv (Cornell University)
IEEE Transactions on Software Engineering
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Proceedings of the ACM on Programming Languages
Zenodo (CERN European Organization for Nuclear Research)

Some of the recent papers authored or co-authored by Baishakhi Ray include:

"CODIT: Code Editing With Tree-Based Neural Models," 2020, IEEE Transactions on Software Engineering
"NatGen: generative pre-training by "naturalizing" source code," 2022, Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
"Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles," 2022, IEEE Transactions on Software Engineering
"VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements," 2022, 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
"Deep Learning Based Vulnerability Detection: Are We There Yet?," 2021, IEEE Transactions on Software Engineering

Baishakhi Ray has collaborated extensively with several researchers. Frequent co-authors include:

Yangruibo Ding
Saikat Chakraborty
Gail E. Kaiser
Ziyuan Zhong
Xiaofei Ma

Best Publications

DeepTest: automated testing of deep-neural-network-driven autonomous cars

Yuchi Tian;Kexin Pei;Suman Jana;Baishakhi Ray

1449
Citations
Unified Pre-training for Program Understanding and Generation

Wasi Uddin Ahmad;Saikat Chakraborty;Baishakhi Ray;Kai-Wei Chang

585
Citations
A large scale study of programming languages and code quality in github

Baishakhi Ray;Daryl Posnett;Vladimir Filkov;Premkumar Devanbu

522
Citations
Gender and Tenure Diversity in GitHub Teams

Bogdan Vasilescu;Daryl Posnett;Baishakhi Ray;Mark G.J. van den Brand

419
Citations
A Transformer-based Approach for Source Code Summarization

Wasi Uddin Ahmad;Saikat Chakraborty;Baishakhi Ray;Kai-Wei Chang

383
Citations
An Empirical Study of API Stability and Adoption in the Android Ecosystem

Tyler McDonnell;Baishakhi Ray;Miryung Kim

367
Citations
PTask: operating system abstractions to manage GPUs as compute devices

Christopher J. Rossbach;Jon Currey;Mark Silberstein;Baishakhi Ray

344
Citations
Deep Learning based Vulnerability Detection: Are We There Yet

Saikat Chakraborty;Rahul Krishna;Yangruibo Ding;Baishakhi Ray

336
Citations
On the "naturalness" of buggy code

Baishakhi Ray;Vincent Hellendoorn;Saheel Godhane;Zhaopeng Tu

284
Citations
WhozThat? evolving an ecosystem for context-aware mobile social networks

A. Beach;M. Gartrell;S. Akkala;J. Elston

258
Citations
Using Frankencerts for Automated Adversarial Testing of Certificate Validation in SSL/TLS Implementations

Chad Brubaker;Suman Jana;Baishakhi Ray;Sarfraz Khurshid

237
Citations
NEUZZ: Efficient Fuzzing with Neural Program Smoothing

Dongdong She;Kexin Pei;Dave Epstein;Junfeng Yang

203
Citations
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars

Yuchi Tian;Kexin Pei;Suman Jana;Baishakhi Ray

139
Citations
Metric Learning for Adversarial Robustness

Chengzhi Mao;Ziyuan Zhong;Junfeng Yang;Carl Vondrick

125
Citations
CODIT: Code Editing with Tree-Based Neural Models

Saikat Chakraborty;Yangruibo Ding;Miltiadis Allamanis;Baishakhi Ray

115
Citations
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles

Unknown

111
Citations
Some from here, some from there: cross-project code reuse in GitHub

Mohammad Gharehyazie;Baishakhi Ray;Vladimir Filkov

109
Citations
NatGen: generative pre-training by “naturalizing” source code

Unknown

97
Citations
An empirical study of supplementary bug fixes

Jihun Park;Miryung Kim;Baishakhi Ray;Doo-Hwan Bae

93
Citations
A large-scale study of programming languages and code quality in GitHub

Baishakhi Ray;Daryl Posnett;Premkumar Devanbu;Vladimir Filkov

83
Citations
A case study of cross-system porting in forked projects

Baishakhi Ray;Miryung Kim

81
Citations
Multi-lingual Evaluation of Code Generation Models

Unknown

79
Citations
Detecting and characterizing semantic inconsistencies in ported code

Baishakhi Ray;Miryung Kim;Suzette Person;Neha Rungta

72
Citations
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity.

Kexin Pei;Zhou Xuan;Junfeng Yang;Suman Jana

31
Citations
Automatically Detecting Error Handling Bugs Using Error Specifications

Suman Jana;Yuan Jochen Kang;Samuel Roth;Baishakhi Ray

27
Citations

Frequent Co-Authors

Suman Jana Columbia University

Junfeng Yang Columbia University

Gail E. Kaiser Columbia University

Premkumar Devanbu University of California, Davis

Vladimir Filkov University of California, Davis

Kai-Wei Chang University of California, Los Angeles

Miryung Kim University of California, Los Angeles

Carl Vondrick Columbia University

Kevin Sullivan University of Virginia

Shivakant Mishra University of Colorado Boulder

External Links

Personal website of Baishakhi Ray

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