Yangruibo (Robin) Ding

Assistant Professor, University of California, Los Angeles (UCLA)

4 h-index · 94 citations · 6 papers

Developing large language models (LLMs) and agentic systems for software engineering (SE). Training LLMs with advanced symbolic reasoning capabilities (e.g.debuggingtestingprogram analysisverification) and building efficientcollaborative agentic systems for complex software development and maintenance tasks.

Labs

Artificial General Intelligence Lab · UCLA

Automated Reasoning Group · UCLA

Big Data and Genomics Lab · UCLA

Center for Smart Health · UCLA

Cognitive Systems Laboratory · UCLA

Digital Arithmetic and Reconfigurable Architecture Laboratory · UCLA

Large-scale Machine Learning Group (BigML) · UCLA

Machine Intelligence Lab · UCLA

Network and Embedded Systems Laboratory · UCLA

Programmable Software Systems Lab · UCLA

Software Systems Laboratory (SSL) · Columbia University

Career

· Assistant Professor, University of California, Los Angeles (UCLA)2026–

· Research Intern, Google DeepMind2024–

· Ph.D. Candidate, Columbia University2020–2025

· Experience, Amazon AWS AI Labs

· Amazon AWS AI Labs

· Postdoctoral Scientist, AWS Agentic AI

· PhD in Computer Science, Columbia University

· Experience, IBM Research

· IBM Research

Publications (6)

Improvement of corrosion and wear resistance of novel Zr-Ti-Al-V alloy with high strength and toughness by thermal nitridation treatment

Corrosion Science · 2022

cited

Expert-based customized pattern-making automation: Part I. Basic patterns

2008

cited

Expert‐based customized pattern‐making automation: Part II. Dart design

2008

cited

Energy-based optimal darted pattern for garment design

2014

cited

The Kinematic Analysis on Loss of Horizontal Velocity for Our Elite Male Triple Jumpers

2003

cited

Energy-Based Optimum Pattern Development for Garment Industry

2011

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