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Zhiyuan LiuAssociate Professor · Tsinghua UniversityResearcher↗
Researcher · Academic · Executive
Hang Li
Tsinghua UniversityChief Scientist of AIR
ByteDanceSenior Technical Advisor
Li helped establish learning to rank, which uses examples to teach search engines how to order results, and wrote a textbook on the field.[1] He later co-developed PaSa, an agent that finds and screens academic papers,[2] and GR-2, a model that uses training on video to help robots handle objects.[3]
Career & education
Current rolesTsinghua UniversityJul 2026-presentChief Scientist of AIRByteDanceMay 2026-presentSenior Technical Advisor
Tsinghua UniversityJul 2026-presentByteDanceMay 2026-presentPreviously
Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations39,975As of Oct 20, '26
citations+880Since last snapshot, Jun 15, '26
References
- Learning to Rank for Information Retrieval and Natural Language Processinglink.springer.com
Li’s textbook explains how machine learning can rank search results and other candidate answers.
- PaSa: An LLM Agent for Comprehensive Academic Paper Searchaclanthology.org
Li and colleagues describe an agent that searches for academic papers and checks them against a research query.
- GR-2: A Generative Video-Language-Action Modelarxiv.org
The authors describe how training on videos gives a robot model knowledge it can use to manipulate objects.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 9, 2026 · Checked for accuracy and new information.
