Summary
Zhoujun Cheng is a PhD student in CSE at UC San Diego with seven years of industry and research experience building and analyzing large language models and agent systems. His work spans practical deployments and datasets—from creating hierarchical table datasets and pretraining table models at Microsoft to training LLMs with symbolic data as a research collaborator at Sea. He has a strong academic foundation from Shanghai Jiao Tong University and hands-on experience in code-generation agents, spreadsheet/table reasoning, and dense 3D correspondence from earlier MVIG Lab work. Zhoujun bridges applied research and engineering, repeatedly turning challenging data formats (hierarchical tables, spreadsheets, symbolic inputs) into models and datasets that improve reasoning. He is comfortable moving between corporate research environments and academic labs, and often focuses on under-explored data modalities to boost LLM capabilities. Based in San Diego, he combines deep technical breadth with a track record of shipping novel datasets and model techniques.
7 years of coding experience
3 years of employment as a software developer
University of California, San Diego
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Shanghai Jiao Tong University