Tao Yu

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Summary

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Rockstar
Tao Yu is an Assistant Professor of Computer Science at The University of Hong Kong and co-director of the HKU NLP Lab, with a decade of experience building and evaluating state-of-the-art natural language systems. His research and development track record spans top academic labs and industry internships (Yale, UW, Microsoft Research, Salesforce, Samsung), with particular strength in sequence-to-SQL, question answering, knowledge graphs, and text generation. He has hands-on contributions to well-known benchmarks such as the Spider text-to-SQL challenge, improving evaluation robustness by adding join-column checks and correcting annotated SQL—work that reflects a careful blend of theory and practical tooling. Trained at Yale (PhD) and Columbia (MS Data Science) and grounded in mathematics and economics, he combines rigorous quantitative thinking with applied NLP engineering. Based in New Haven, he runs an active research group and maintains a public portfolio of projects and resources for reproducible NLP research.
code11 years of coding experience
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Github Skills (6)

sql10
python10
natural-language-processing9
metric9
evaluation9
nlp9

Programming languages (4)

SCSSHTMLJupyter NotebookPython

Github contributions (5)

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taoyds/spider

Sep 2018 - Mar 2022

scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge
Role in this project:
userData Scientist
Contributions:22 commits, 2 PRs, 28 pushes in 3 years 6 months
Contributions summary:Tao primarily contributed to the project by modifying and enhancing the evaluation scripts, focusing on SQL parsing and semantic analysis related to the "Spider" text-to-SQL challenge. They improved evaluation accuracy by incorporating join column assessments. The user also corrected annotated errors in the provided development SQL files. These changes reflect a focus on improving the accuracy and robustness of the evaluation process in a text-to-SQL context.
semantic-parsingspidersql
taoyds/sparc

May 2020 - Mar 2022

scripts and baselines for SParC: Yale & Salesforce Semantic Parsing and Text-to-SQL in Context Challenge
Contributions:6 commits, 6 pushes in 1 year 10 months
salesforcesemantic-parsingsparcsql
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