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Author

Yangruibo Ding

Observed name: Ding, Yangruibo
ORCID: 0000-0003-3224-6876
Observed ORCID: 0000-0003-3224-6876
OpenAlex ID: A5064527453
Deep Learning Based Vulnerability Detection: Are We There Yet?
2021 · Saikat Chakraborty, Rahul Krishna, et al. · IEEE Transactions on Software Engineering · 843
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Vulnerability Detection with Code Language Models: How Far are We?
2025 · Yangruibo Ding, Yanjun Fu, et al. · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 125
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CODIT: Code Editing With Tree-Based Neural Models
2020 · Saikat Chakraborty, Yangruibo Ding, et al. · IEEE Transactions on Software Engineering · 114
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NatGen: generative pre-training by “naturalizing” source code
2022 · Saikat Chakraborty, Toufique Ahmed, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 105
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements
2022 · Yangruibo Ding, Sahil Suneja, et al. · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · 57
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Patching as translation
2020 · Yangruibo Ding, Baishakhi Ray, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 50
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CYCLE: Learning to Self-Refine the Code Generation
2024 · Yangruibo Ding, Marcus J. Min, et al. · Proceedings of the ACM on Programming Languages · 38
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion
2023 · Yangruibo Ding, Zijian Wang, et al. · neural information processing systems · 37
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TRACED: Execution-aware Pre-training for Source Code
2024 · Yangruibo Ding, Benjamin Steenhoek, et al. · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 36
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
2022 · Yangruibo Ding, Luca Buratti, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 31
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CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context
2024 · Yangruibo Ding, Zijian Wang, et al. · Language Resources and Evaluation Conference (LREC) · 20
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SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
2024 · Yangruibo Ding, Jinjun Peng, et al. · neural information processing systems · 15
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CONCORD: Clone-Aware Contrastive Learning for Source Code
2023 · Yangruibo Ding, Saikat Chakraborty, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 11
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Contrastive Learning for Source Code with Structural and Functional Properties
2021 · Yangruibo Ding, Luca Buratti, et al. · arXiv (Cornell University) · 10
Patterns in metaphor translation: a corpus-based case study of the translation of FEAR metaphors between English and Chinese
2008 · Yangruibo Ding, Dirk Noël, et al. · 10
NatGen: Generative pre-training by "Naturalizing" source code
2022 · Chakraborty, Saikat, Ahmed, Toufique, et al. · arXiv (Cornell University) · 9
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Automated Code Editing With Search-Generate-Modify
2024 · Changshu Liu, Pelin Cetin, et al. · IEEE Transactions on Software Engineering · 8
Automated Code Editing with Search-Generate-Modify
2024 · Changshu Liu, Pelin Cetin, et al. · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 3
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
2023 · Min, Marcus J., Ding, Yangruibo, et al. · arXiv (Cornell University) · 3
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TraceFixer: Execution Trace-Driven Program Repair
2023 · Bouzenia, Islem, Ding, Yangruibo, et al. · arXiv (Cornell University) · 3
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Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning Models
2025 · Yuheng Tang, Hongwei Li, et al. · neural information processing systems · 2
TRACED: Execution-aware Pre-training for Source Code
2023 · Ding, Yangruibo, Steenhoek, Ben, et al. · arXiv (Cornell University) · 1
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The Next Challenge for Agentic Cybersecurity: A Realistic, Contamination-Free Reverse Engineering Benchmark
2026 · Spence, Jeremy, Assaderaghi, Nicholas, et al. · arXiv (Cornell University)
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OpenSage: Self-programming Agent Generation Engine
2026 · Li, Hongwei, Wang, Zhun, et al. · arXiv (Cornell University)
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To Defend Against Cyber Attacks, We Must Teach AI Agents to Hack
2026 · Zhuo, Terry Yue, Ding, Yangruibo, et al. · arXiv (Cornell University)
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Works count: 35
Citation count: 1,531
H-index: 12
I10-index: 15
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