Tsu-Jui Fu
Also known as Ray
Tsu-Jui Fu is a computer scientist whose research spans vision+language, image editing and visual generation. He earned a computer science B.S. at National Tsing Hua University and completed a computer science Ph.D. at UC Santa Barbara, where he worked with UCSB NLP. His research includes fashion-guided 3D human generation, multimodal instruction-based image editing and reward-guided text-to-video generation. In August 2026, he coauthored a register-based method to reduce artifacts in diffusion-transformer image generation. His career includes research roles at Apple AI/ML and Meta GenAI; since 2025, he is a senior research scientist at Apple AI/ML, working on vision+language and unified visual generation.
Timeline
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2014–2018
Computer science bachelor's degree
From 2014 to 2018, he earns a B.S. in computer science at National Tsing Hua University.
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2019–2024
Doctoral research at UCSB NLP
From 2019 to 2024, he works as a research assistant with UCSB NLP and completes a computer science Ph.D. at UC Santa Barbara, advised by William Yang Wang.
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2023
Fashion-guided 3D human generation
In 2023, he coauthors Text-guided 3D Human Generation from 2D Collections. Its Compositional Cross-modal Human model uses cross-modal attention to fuse compositional human rendering with fashion semantics.
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2024
MGIE and T2V-Turbo
In 2024, he coauthors Guiding Instruction-based Image Editing via Multimodal Large Language Models, which introduces MGIE to derive expressive instructions and provide explicit guidance for image editing. He also coauthors T2V-Turbo, which integrates differentiable reward feedback into consistency distillation for fast, high-quality video generation.
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2024–2025
Research scientist at Apple AI/ML
From 2024 to 2025, he works as a research scientist at Apple AI/ML. In 2025, he coauthors UniVG, a generalist diffusion model for unified image generation and editing, and STIV, a scalable text- and image-conditioned video-generation model.
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2025
Senior scientist at Meta GenAI
In 2025, he serves as a senior research scientist at Meta GenAI.
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August 2026
Taming outlier tokens
In August 2026, he coauthors Taming Outlier Tokens in Diffusion Transformers, which introduces Dual-Stage Registers to reduce outlier artifacts and improve image-generation quality.
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Since 2025
Senior research scientist at Apple AI/ML
Since 2025, he is a senior research scientist at Apple AI/ML, where his research spans vision+language and unified visual generation.
Career
- Since 2024AppleResearch Scientist, Senior Research Scientist
- 2025MetaSenior Research Scientist
- 2019–2024University of California, Santa BarbaraResearch Assistant
Education
- 2024University of California, Santa BarbaraPh.D. in Computer Science
- 2018National Tsing Hua UniversityB.S. in Computer Science
Sources and credits
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- Tsu-Jui Fu | Apple AI/ML Senior Research Scientist|影像生成×多模態AI×模擬面試與研究指導 | 大大帶我飛
- UC Santa Barbara AI Group
- Ray@Apple
- Text-guided 3D Human Generation from 2D Collections - ACL Anthology
- Guiding Instruction-based Image Editing via Multimodal Large Language Models
- T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
- International Conference on Computer Vision (ICCV) 2025 - Apple Machine Learning Research
- STIV: Scalable Text and Image Conditioned Video Generation - Apple Machine Learning Research
- Taming Outlier Tokens in Diffusion Transformers - Apple Machine Learning Research



