Yangruibo Ding

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 29

Top Topics

Ensemble Learning

Top Venues

IEEE Trans. Software Eng.

Proc. ACM Program. Lang.

Publications

Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain. ICLR (2024)
Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
TRACED: Execution-aware Pre-training for Source Code. ICSE (2024)
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. LREC/COLING (2024)
Yangruibo Ding, Marcus J. Min, Gail E. Kaiser, Baishakhi Ray
CYCLE: Learning to Self-Refine the Code Generation. CoRR (2024)
Yangruibo Ding, Marcus J. Min, Gail E. Kaiser, Baishakhi Ray
CYCLE: Learning to Self-Refine the Code Generation. Proc. ACM Program. Lang. 8 (OOPSLA1) (2024)
Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen
Vulnerability Detection with Code Language Models: How Far Are We? CoRR (2024)
Changshu Liu, Pelin Çetin, Yogesh Patodia, Baishakhi Ray, Saikat Chakraborty, Yangruibo Ding
Automated Code Editing with Search-Generate-Modify. ICSE Companion (2024)
Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail E. Kaiser, Junfeng Yang, Baishakhi Ray
SemCoder: Training Code Language Models with Comprehensive Semantics. CoRR (2024)
Changshu Liu, Pelin Çetin, Yogesh Patodia, Baishakhi Ray, Saikat Chakraborty, Yangruibo Ding
Automated Code Editing With Search-Generate-Modify. IEEE Trans. Software Eng. 50 (7) (2024)
Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
TRACED: Execution-aware Pre-training for Source Code. CoRR (2023)
Islem Bouzenia, Yangruibo Ding, Kexin Pei, Baishakhi Ray, Michael Pradel
TraceFixer: Execution Trace-Driven Program Repair. CoRR (2023)
Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain. CoRR (2023)
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. CoRR (2023)
Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
CONCORD: Clone-Aware Contrastive Learning for Source Code. ISSTA (2023)
Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
CONCORD: Clone-aware Contrastive Learning for Source Code. CoRR (2023)
Changshu Liu, Pelin Çetin, Yogesh Patodia, Saikat Chakraborty, Yangruibo Ding, Baishakhi Ray
Automated Code Editing with Search-Generate-Modify. CoRR (2023)
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. NeurIPS (2023)
Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray
NatGen: Generative pre-training by "Naturalizing" source code. CoRR (2022)
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context. CoRR (2022)
Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts. ACL (1) (2022)
Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, Baishakhi Ray
CODIT: Code Editing With Tree-Based Neural Models. IEEE Trans. Software Eng. 48 (4) (2022)
Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray
NatGen: generative pre-training by "naturalizing" source code. ESEC/SIGSOFT FSE (2022)
Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
Deep Learning Based Vulnerability Detection: Are We There Yet? IEEE Trans. Software Eng. 48 (9) (2022)
Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. SANER (2022)
Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. CoRR (2021)
Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
Contrastive Learning for Source Code with Structural and Functional Properties. CoRR (2021)
Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn
Patching as Translation: the Data and the Metaphor. ASE (2020)
Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
Deep Learning based Vulnerability Detection: Are We There Yet? CoRR (2020)
Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn
Patching as Translation: the Data and the Metaphor. CoRR (2020)