Shuchao Bi
Also known as 毕树超
Shuchao Bi is an AI researcher and lab leader whose work links recommendation systems, video discovery, and multimodal model training. He studied mathematics at Zhejiang University and graduate statistics and mathematics at UC Berkeley before building advertising recommendations at Google and leading discovery for YouTube Shorts. At OpenAI, he led multimodal post-training and co-created GPT-4o voice mode and o4-mini; since 2025, he is a researcher at Meta Superintelligence Labs. His papers explore new user interests with language models, knowledge transfer into specialized models, and token-level collaboration among language models.
- Works
- 12
- Citations
- 75
- h-index
- 5
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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By 2013
Mathematics at Zhejiang and Berkeley
Before joining Google in 2013, he studies mathematics at Zhejiang University, earns a master's degree in statistics, and pursues a doctorate in mathematics at UC Berkeley.
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2013–2019
Google advertising recommendations
From 2013 to 2019, he serves as a technical leader at Google and builds a multistage deep-learning recommendation system for its advertising business, which significantly increases Google's advertising revenue, in the order of billions of dollars.
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2019–2024
YouTube Shorts discovery
From 2019 to 2024, he heads exploration for YouTube Shorts, co-creates and leads its video recommendation and discovery system, and builds a large machine-learning team across recommendations, scoring, interaction discovery, trust, and security.
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2024
LLMs for user interest exploration
In 2024, he coauthors LLMs for User Interest Exploration in Large-scale Recommendation Systems, a hybrid framework that combines large language models with classic recommendation models to recommend novel user interests.
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2024
Wisdom of committee
In 2024, he coauthors Wisdom of Committee: Diverse Distillation from Large Foundation Models and Domain Experts, which finds that adding domain-specific experts to foundation-model teachers improves knowledge transfer to compact domain models.
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2024–2025
OpenAI multimodal post-training
After joining OpenAI in 2024, he leads the multimodal post-training organization and co-creates GPT-4o voice mode and o4-mini.
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Since 2025
Research at Meta Superintelligence Labs
He joins Meta Superintelligence Labs in 2025 and is a researcher there.
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January 2026
FusionRoute token-level collaboration
In January 2026, he coauthors FusionRoute, a token-level framework that selects an expert model at each decoding step and adjusts its next-token distribution.
Career
- Since 2025Meta Superintelligence LabsResearcher
- 2024–2025OpenAILead of Multimodal Post-Training
- 2013–2019GoogleTechnical Lead
Education
- Zhejiang UniversityMathematics student
- University of California, BerkeleyGraduate student
Most-cited works
- Long-Term Value of Exploration: Measurements, Findings and Algorithms
- Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems
- LLMs for User Interest Exploration in Large-scale Recommendation Systems
- Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders
- Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation
Sources and credits
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- Currently, Chinese AI Talent - Most Valuable Asset in the US: Tsinghua, Peking, and USTC Top Students Dominate Silicon Valley AI Circle
- LLMs for User Interest Exploration in Large-scale Recommendation Systems
- Wisdom of Committee: Diverse Distillation from Large Foundation Models and Domain Experts
- Here Is Everyone Mark Zuckerberg Has Hired So Far for Meta’s ‘Superintelligence’ Team | WIRED
- BI Shuchao (毕树超) — China AI Atlas
- Token-Level LLM Collaboration via FusionRoute









