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Email / Google Scholar / LinkedIn / Twitter Bio: I am an incoming Assistant Professor of Computer Science at University of California, Los Angeles. I am finishing my Ph.D. in Computer Science at Columbia University, advised by Prof. Baishakhi Ray and Prof. Gail Kaiser. Previoulsy, I have also had wonderful experiences at Google DeepMind, Amazon AWS AI Labs, and IBM Research Research: My research focuses on developing large language models (LLMs) for code. I train LLMs to generate, analyze, and refine software programs. I also construct benchmarks to systematically evaluate LLMs' capabilities in solving software engineering tasks. Most recently, I am interested in improving LLMs' reasoning capability to tackle complex programming tasks, such as debugging and patching. For an overview of my research, this video might help. [Prospective Students] I am actively looking for brilliant students to join my research group @ UCLA CS. Solid background in Large Language Models, Program Analysis, or Security is strongly preferred. Drop me an email with (1) your CV and (2) a brief introduction of your research interests and background, if you are interested in working with me. |
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📣 May. 2025: I will join the Department of Computer Science @ UCLA as an Assistant Professor! ⭐ Sep. 2024: "SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning" got accepted by NeurIPS 2024. 🎉July 2024: "Vulnerability Detection with Code Language Models: How Far Are We?" got accepted by ICSE 2025.
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May. 2024: I joined
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Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail Kaiser, Junfeng Yang, Baishakhi Ray NeurIPS 2024 |
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Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David Wagner, Baishakhi Ray, Yizheng Chen ICSE 2025 |
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Yangruibo Ding, Marcus J. Min, Gail Kaiser, Baishakhi Ray OOPSLA 2024 |
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Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail Kaiser, Suman Jana, Baishakhi Ray ICLR 2024 |
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Yangruibo Ding, Ben Steenhoek, Kexin Pei, Gail Kaiser, Wei Le, Baishakhi Ray ICSE 2024 |
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Changshu Liu, Pelin Cetin, Yogesh Patodia, Baishakhi Ray, Saikat Chakraborty, Yangruibo Ding IEEE Transactions on Software Engineering (TSE) |
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Yangruibo Ding*, Zijian Wang*, Wasi Uddin Ahmad*, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang (* equal contribution) LREC-COLING 2024 |
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Yangruibo Ding*, Zijian Wang*, Wasi Uddin Ahmad*, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang (* equal contribution) NeurIPS 2023 (Datasets & Benchmarks) |
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Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail Kaiser, Baishakhi Ray 🏆 ACM SIGSOFT Distinguished Paper Award ISSTA 2023 |
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Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar Devanbu, Baishakhi Ray ESEC/FSE 2022 |
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Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty ACL 2022 |
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Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray 🏆 IEEE TSE Best Paper Award Runner-up ICSE 2022 (Journal-First), IEEE Transactions on Software Engineering (TSE) |
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Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail Kaiser, Baishakhi Ray SANER 2022 |
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Saikat Chakraborty Yangruibo Ding, Miltiadis Allamanis, Baishakhi Ray ICSE 2021 (Journal-First), IEEE Transactions on Software Engineering (TSE) |
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Yangruibo Ding, Baishakhi Ray, Premkumar Devanbu, Vincent J Hellendoorn ASE 2020 |
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Last Updated: May 2025. Photo by Lingyi. Website Template by Jon Barron |