Yangruibo Ding

38 papers A* 7A 2Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle. CoRR Yuheng Tang, Kaijie Zhu, Bonan Ruan, Chuqi Zhang, Michael Yang, Hongwei Li, Suyue Guo, Tianneng Shi, Zekun Li, Christopher Kruegel, Giovanni Vigna, Dawn Song, William Yang Wang, Lun Wang, Yangruibo Ding, Zhenkai Liang, Wenbo Guo
2026	J	`jnl`	OpenSage: Self-programming Agent Generation Engine. CoRR Hongwei Li, Zhun Wang, Qinrun Dai, Yuzhou Nie, Jinjun Peng, Ruitong Liu, Jingyang Zhang, Kaijie Zhu, Jingxuan He, Lun Wang, Yangruibo Ding, Yueqi Chen, Wenbo Guo, Dawn Song
2026	J	`jnl`	SWE-Spot: Building Small Repo-Experts with Repository-Centric Learning. CoRR Jinjun Peng, Magnus Saebo, Tianjun Zhong, Yi-Jie Cheng, Junfeng Yang, Baishakhi Ray, Simin Chen, Yangruibo Ding
2026	J	`jnl`	To Defend Against Cyber Attacks, We Must Teach AI Agents to Hack. CoRR Terry Yue Zhuo, Yangruibo Ding, Wenbo Guo, Ruijie Meng
2025	J	`jnl`	Co-PatcheR: Collaborative Software Patching with Component(s)-specific Small Reasoning Models. CoRR Yuheng Tang, Hongwei Li, Kaijie Zhu, Michael Yang, Yangruibo Ding, Wenbo Guo
2025	J	`jnl`	Rethinking Kernel Program Repair: Benchmarking and Enhancing LLMs with RGym. CoRR Kareem Shehada, Yifan Wu, Wyatt D. Feng, Adithya Iyer, Gryphon Kumfert, Yangruibo Ding, Zhiyun Qian
2025	A*	`conf`	Vulnerability Detection with Code Language Models: How Far are We? ICSE Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen
2024	J	`jnl`	Automated Code Editing With Search-Generate-Modify. IEEE Trans. Software Eng. Changshu Liu, Pelin Çetin, Yogesh Patodia, Baishakhi Ray, Saikat Chakraborty, Yangruibo Ding
2024	—	`conf`	Automated Code Editing with Search-Generate-Modify. ICSE Companion Changshu Liu, Pelin Çetin, Yogesh Patodia, Baishakhi Ray, Saikat Chakraborty, Yangruibo Ding
2024	A*	`conf`	Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain. ICLR Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray
2024	J	`jnl`	CYCLE: Learning to Self-Refine the Code Generation. CoRR Yangruibo Ding, Marcus J. Min, Gail E. Kaiser, Baishakhi Ray
2024	J	`jnl`	CYCLE: Learning to Self-Refine the Code Generation. Proc. ACM Program. Lang. Yangruibo Ding, Marcus J. Min, Gail E. Kaiser, Baishakhi Ray
2024	—	`conf`	CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. LREC/COLING Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2024	A*	`conf`	SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning. NeurIPS Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail E. Kaiser, Junfeng Yang, Baishakhi Ray
2024	J	`jnl`	SemCoder: Training Code Language Models with Comprehensive Semantics. CoRR Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail E. Kaiser, Junfeng Yang, Baishakhi Ray
2024	A*	`conf`	Semantic-aware Source Code Modeling. ASE Yangruibo Ding
2024	A*	`conf`	TRACED: Execution-aware Pre-training for Source Code. ICSE Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
2024	J	`jnl`	Vulnerability Detection with Code Language Models: How Far Are We? CoRR Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen
2023	J	`jnl`	Automated Code Editing with Search-Generate-Modify. CoRR Changshu Liu, Pelin Çetin, Yogesh Patodia, Saikat Chakraborty, Yangruibo Ding, Baishakhi Ray
2023	J	`jnl`	Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain. CoRR Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray
2023	A	`conf`	CONCORD: Clone-Aware Contrastive Learning for Source Code. ISSTA Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2023	J	`jnl`	CONCORD: Clone-aware Contrastive Learning for Source Code. CoRR Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2023	A*	`conf`	CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. NeurIPS Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2023	J	`jnl`	CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. CoRR Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2023	J	`jnl`	TRACED: Execution-aware Pre-training for Source Code. CoRR Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
2023	J	`jnl`	TraceFixer: Execution Trace-Driven Program Repair. CoRR Islem Bouzenia, Yangruibo Ding, Kexin Pei, Baishakhi Ray, Michael Pradel
2022	J	`jnl`	CODIT: Code Editing With Tree-Based Neural Models. IEEE Trans. Software Eng. Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, Baishakhi Ray
2022	J	`jnl`	CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context. CoRR Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2022	J	`jnl`	Deep Learning Based Vulnerability Detection: Are We There Yet? IEEE Trans. Software Eng. Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
2022	J	`jnl`	NatGen: Generative pre-training by "Naturalizing" source code. CoRR Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray
2022	—	`conf`	NatGen: generative pre-training by "naturalizing" source code. ESEC/SIGSOFT FSE Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray
2022	—	`conf`	Towards Learning (Dis)-Similarity of Source Code from Program Contrasts. ACL (1) Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
2022	A	`conf`	VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. SANER Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2021	J	`jnl`	Contrastive Learning for Source Code with Structural and Functional Properties. CoRR Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
2021	J	`jnl`	VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. CoRR Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2020	J	`jnl`	Deep Learning based Vulnerability Detection: Are We There Yet? CoRR Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
2020	A*	`conf`	Patching as Translation: the Data and the Metaphor. ASE Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn
2020	J	`jnl`	Patching as Translation: the Data and the Metaphor. CoRR Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn