Yangruibo (Robin) Ding
I am a Ph.D student in the Department of Computer Science at Columbia University. I am fortunate to be advised by Prof. Baishakhi Ray and Prof. Gail Kaiser.
My research, in general, focuses on Machine Learning for Automated Software Engineering. I am passionate about Source Code Modeling and Deep Learning for Program Analysis.
I am a recipient of the IBM Ph.D. Fellowship Award.
Email  / 
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LinkedIn
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News
Dec 2022: Check our new preprint on code generation! CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context.
June 2022: "NatGen: Generative pre-training by "Naturalizing" source code" got accepted by ESEC/FSE 2022.
May 2022: I started working as an Applied Scientist Intern at Amazon AWS AI Lab on code modeling.
May 2022: I presented our paper, REVEAL, at ICSE 2022 in Pittsburgh!
February 2022: âTowards Learning (Dis)-Similarity of Source Code from Program Contrastsâ got accpeted by ACL 2022.
January 2022: âVELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatementsâ got accepted by SANER 2022.
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Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
Yangruibo Ding,
Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
ACL 2022
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NatGen: Generative pre-training by "Naturalizing" source code
Saikat Chakraborty, Toufique Ahmed,
Yangruibo Ding,
Premkumar Devanbu, Baishakhi Ray
ESEC/FSE 2022
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Deep learning based vulnerability detection: Are we there yet
Saikat Chakraborty, Rahul Krishna,
Yangruibo Ding,
Baishakhi Ray
ICSE 2022 Journal-First, TSE
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VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements
Yangruibo Ding,
Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail Kaiser, Baishakhi Ray
SANER 2022
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CODIT: Code Editing With Tree-Based Neural Models
Saikat Chakraborty
Yangruibo Ding,
Miltiadis Allamanis, Baishakhi Ray
ICSE 2021 Journal-First, TSE
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Patching as Translation: the Data and the Metaphor
Yangruibo Ding,
Baishakhi Ray, Premkumar Devanbu, Vincent J Hellendoorn
ASE 2020
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Profile Photo by Lingyi. Website Template by Jon Barron
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