Yangruibo Robin Ding

Yangruibo (Robin) Ding is an Assistant Professor at the University of California, Los Angeles, Department of Computer Science. Their research focuses on developing large language models (LLMs) and agentic systems for software engineering, with an emphasis on training LLMs with advanced symbolic reasoning capabilities and building efficient, collaborative agentic systems for complex software development and maintenance tasks. Ding's work has been published in top conferences and journals, including NeurIPS, ICSE, OOPSLA, ICLR, and TSE. They are also recognized for their contributions to code vulnerability detection and automated code editing.

Yangruibo (Robin) Ding is an Assistant Professor of Computer Science at UCLA, specializing in Coding Agents, Code Intelligence, and Software Engineering. Their research focuses on enhancing software development through intelligent systems, including vulnerability detection, code completion, and program repair. Ding's work explores the use of deep learning and large language models to improve code generation, security, and maintainability. Key contributions include benchmarking AI agents in DevOps cycles and developing methods for automated code editing and patching. Their research emphasizes the integration of semantics and execution-aware techniques to advance code intelligence.