Xuefeng Hu
Member of Technical Staff·AMI Labs·Paris
I am building world models with real-world understanding at AMI Labs (Advanced Machine Intelligence) in Paris.
Before that, I spent two and a half years at ByteDance / TikTok, most recently as a Staff Research Scientist leading video foundation model pretraining. Earlier there I worked on unified understanding-and-generation models, multimodal reinforcement learning, scalable memory and multimodal LLMs for math. I received my Ph.D. in Computer Science from the University of Southern California, advised by Prof. Ram Nevatia, where I studied how to adapt pre-trained vision–language models to new domains with little or no labeled data.
- World Model
- Memory, Continual Learning and Test-time Adaptation
- Unified Understanding and Generation Models
- Multimodal RL
News
- Sep 2026
BitDance accepted to NeurIPS 2026.
- Aug 2026
Intervention-Certified Amplification accepted to EMNLP 2026 Findings.
- Jul 2026
Joined AMI Labs in Paris as a Member of Technical Staff, building world models.
- Jun 2026
Released the ARM technical report, an autoregressive multimodal model with unified discrete representations.
- Mar 2026
Promoted to Staff Research Scientist at ByteDance / TikTok.
- Feb 2026
Implicit Neural Representation Facilitates Unified Universal Vision Encoding accepted to CVPR 2026.
- Sep 2025
DiCo accepted to NeurIPS 2025 as a Spotlight.
- Aug 2025
InfiMM-WebMath-40B accepted to EMNLP 2025 Findings; the dataset has 16K+ downloads on Hugging Face.
- Feb 2024
Joined ByteDance Seed-Foundation as a research scientist.
- Jan 2024
ReCLIP presented as an oral at WACV 2024 and selected as a Best Paper Finalist.
- Dec 2023
Completed my Ph.D. at USC.
Publications
Preprints
-
Tech report 2026
Selected papers
-
NeurIPS 2026
-
EMNLP 2026
-
CVPR 2026
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NeurIPS 2025
-
EMNLP 2025
-
CVPR 2024
-
WACV 2024
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CVPR 2021
-
ECCV 2020
* Equal contribution. Full list on Google Scholar.
Experience
-
2026 – now
AMI Labs · Member of Technical Staff
World model research.
-
2024 – 2026
ByteDance / TikTok
- Staff Research ScientistMar 2026 – Jul 2026
Led video foundation model pretraining.
- Senior Research ScientistJul 2025 – Mar 2026
Unified understanding and generation models; multimodal RL; scalable memory.
- Research ScientistNov 2024 – Jun 2025
Agentic RL for multimodal LLMs.
- Research Scientist, Seed-FoundationFeb 2024 – Oct 2024
Multimodal LLMs for math: data, continued pretraining, SFT and RL.
- Staff Research ScientistMar 2026 – Jul 2026
-
2022
Amazon Lab126 · Research Intern
Developed ReCLIP, improving CLIP’s average zero-shot accuracy by 5.11% across 22 benchmarks without extra supervision.
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2021
Meta · Research Intern
Online test-time adaptation of pre-trained models under distribution shift.
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2020
Facebook · Research Intern
Part-level contrastive learning for weakly-supervised fine-grained anomaly detection.
Education
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2018 – 2023
University of Southern California · Ph.D., Computer Science
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2017 – 2018
Columbia University · M.S., Computer Science
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2015 – 2017
University of Michigan, Ann Arbor · B.S.E., Computer Science
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2013 – 2017
Shanghai Jiao Tong University · B.S.E., Electrical & Computer Engineering
Selected honors
- 2024
Best Paper Award Finalist, WACV 2024
- 2022
“30 under 30”, All America Chinese Youth Federation
- 2017
James B. Angell Scholar, University of Michigan
- 2012
National First Prize, China High School Mathematics Competition
Photography
Street photography from the cities I have lived in and passed through.
More on Instagram, @xuefenghu.
Beyond research
In 2019 I founded LA Stories (洛杉矶文化沙龙), a non-profit public forum in Los Angeles that hosts talks, panel discussions and film screenings for the local Mandarin-speaking community, with more than 2,000 registered audience members.
Away from research, I am happiest around a table: cooking, hosting dinners that bring people together, and mixing cocktails at Midnight Choir, my make-believe home bar. I play guitar and djembe and love a good jam session. I keep returning to film, photography, painting, writing, mathematics, philosophy and Burning Man, and I am a cat person through and through.
Along the way I have been shaped by the words of Constantine P. Cavafy, Friedrich Nietzsche and 苗炜; the music of Leonard Cohen, Pink Floyd, 张悬 / 安溥, 野孩子, 张玮玮 & 郭龙 and 万能青年旅店; and the talk show 锵锵三人行.
Home has been Dalian, Shanghai, Ann Arbor, New York, Los Angeles, Seattle, San Jose, and now Paris.
As you set out for Ithaka, hope the voyage is a long one.
C. P. Cavafy, Ithaka








