Baishakhi Ray

Baishakhi Ray

Columbia University in the City of New York

H-index: 38

North America-United States

About Baishakhi Ray

Baishakhi Ray, With an exceptional h-index of 38 and a recent h-index of 37 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Software Engineering, Machine Learning, AI4Code, AI4SE, SE4AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards causal deep learning for vulnerability detection

Traced: Execution-aware pre-training for source code

CYCLE: Learning to Self-Refine the Code Generation

Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM

Vulnerability Detection with Code Language Models: How Far Are We?

Automated Code Editing with Search-Generate-Modify

PropTest: Automatic Property Testing for Improved Visual Programming

Variation of Gender Biases in Visual Recognition Models Before and After Finetuning

Baishakhi Ray Information

University

Position

Assistant Professor

Citations(all)

7864

Citations(since 2020)

6226

Cited By

3261

hIndex(all)

38

hIndex(since 2020)

37

i10Index(all)

65

i10Index(since 2020)

61

Email

University Profile Page

Columbia University in the City of New York

Google Scholar

View Google Scholar Profile

Baishakhi Ray Skills & Research Interests

Software Engineering

Machine Learning

AI4Code

AI4SE

SE4AI

Top articles of Baishakhi Ray

Title

Journal

Author(s)

Publication Date

Towards causal deep learning for vulnerability detection

arXiv e-prints

Md Mahbubur Rahman

Ira Ceka

Chengzhi Mao

Saikat Chakraborty

Baishakhi Ray

...

2023/10

Traced: Execution-aware pre-training for source code

Yangruibo Ding

Benjamin Steenhoek

Kexin Pei

Gail Kaiser

Wei Le

...

2024/2/6

CYCLE: Learning to Self-Refine the Code Generation

arXiv preprint arXiv:2403.18746

Yangruibo Ding

Marcus J Min

Gail Kaiser

Baishakhi Ray

2024/3/27

Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM

arXiv preprint arXiv:2402.00097

Gabriel Ryan

Siddhartha Jain

Mingyue Shang

Shiqi Wang

Xiaofei Ma

...

2024/1/31

Vulnerability Detection with Code Language Models: How Far Are We?

arXiv preprint arXiv:2403.18624

Yangruibo Ding

Yanjun Fu

Omniyyah Ibrahim

Chawin Sitawarin

Xinyun Chen

...

2024/3/27

Automated Code Editing with Search-Generate-Modify

IEEE Transactions on Software Engineering

Changshu Liu

Pelin Cetin

Yogesh Patodia

Saikat Chakraborty

Yangruibo Ding

...

2023/6/10

PropTest: Automatic Property Testing for Improved Visual Programming

arXiv preprint arXiv:2403.16921

Jaywon Koo

Ziyan Yang

Paola Cascante-Bonilla

Baishakhi Ray

Vicente Ordonez

2024/3/25

Variation of Gender Biases in Visual Recognition Models Before and After Finetuning

arXiv preprint arXiv:2303.07615

Jaspreet Ranjit

Tianlu Wang

Baishakhi Ray

Vicente Ordonez

2023/3/14

Beyond accuracy: Evaluating self-consistency of code large language models with identitychain

arXiv preprint arXiv:2310.14053

Marcus J Min

Yangruibo Ding

Luca Buratti

Saurabh Pujar

Gail Kaiser

...

2023/10/21

[Industry] A Static Evaluation of Code Completion by Large Language Models

Hantian Ding

Varun Kumar

Yuchen Tian

Zijian Wang

Rob Kwiatkowski

...

2023/7

Greener yet powerful: Taming large code generation models with quantization

arXiv preprint arXiv:2303.05378

Xiaokai Wei

Sujan Gonugondla

Wasi Ahmad

Shiqi Wang

Baishakhi Ray

...

2023/3/9

Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language

arXiv preprint arXiv:2310.08507

Vikram Nitin

Anne Mulhern

Sanjay Arora

Baishakhi Ray

2023/10/12

A static evaluation of code completion by large language models

arXiv preprint arXiv:2306.03203

Hantian Ding

Varun Kumar

Yuchen Tian

Zijian Wang

Rob Kwiatkowski

...

2023/6/5

Programming Language Processing: How AI can Revolutionize Software Development?

Baishakhi Ray

2023/2/23

Language-guided traffic simulation via scene-level diffusion

Ziyuan Zhong

Davis Rempe

Yuxiao Chen

Boris Ivanovic

Yulong Cao

...

2023/12/2

Guided conditional diffusion for controllable traffic simulation

Ziyuan Zhong

Davis Rempe

Danfei Xu

Yuxiao Chen

Sushant Veer

...

2023/5/29

Dagstuhl Reports, Vol. 13, Issue 2 ISSN 2192-5283

Nicole Megow

Benjamin J Moseley

David Shmoys

Ola Svensson

Sergei Vassilvitskii

...

2023/9

Programming Language Processing (Dagstuhl Seminar 23062)

Michael Pradel

Baishakhi Ray

Charles Sutton

Eran Yahav

2023

Towards greener yet powerful code generation via quantization: An empirical study

Xiaokai Wei

Sujan Kumar Gonugondla

Shiqi Wang

Wasi Ahmad

Baishakhi Ray

...

2023/11/30

On ML-based program translation: perils and promises

Aniketh Malyala

Katelyn Zhou

Baishakhi Ray

Saikat Chakraborty

2023/5/14

See List of Professors in Baishakhi Ray University(Columbia University in the City of New York)

Co-Authors

H-index: 66
Prem  Devanbu

Prem Devanbu

University of California, Davis

H-index: 58
Gail Kaiser

Gail Kaiser

Columbia University in the City of New York

H-index: 47
Miryung Kim

Miryung Kim

University of California, Los Angeles

H-index: 44
Vladimir Filkov

Vladimir Filkov

University of California, Davis

H-index: 44
Alberto Bacchelli

Alberto Bacchelli

Universität Zürich

H-index: 43
Suman Jana

Suman Jana

Columbia University in the City of New York

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