Scholar
Yu-Jhe Li
Google Scholar ID: MpLiwTIAAAAJ
Research Scientist, Adobe
Computer Vision
Machine Learning
Machine Perception
Generative AI
Vision Language Model
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
1,690
H-index
18
i10-index
22
Publications
20
Co-authors
25
list available
Contact
Email
yujhe.jack@gmail.com
Twitter
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GitHub
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LinkedIn
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Publications
2 items
EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning
2025
Cited
0
Give Me FP32 or Give Me Death? Challenges and Solutions for Reproducible Reasoning
2025
Cited
0
Resume (English only)
Academic Achievements
- Publications:
- NeurIPS 2025 (oral presentation)
- COLM 2025
- CVPR 2024
- ECCV 2022
- CVPR 2023
- ICASSP 2023 special track
- Awards:
- Qualcomm Innovation Fellowship (2022, only 19 teams in US)
Research Experience
- Applied Research Scientist at Adobe Firefly
- Research Scientist at Microsoft
- During Ph.D. at CMU, spent two summers with Meta Research and one summer with Adobe Research
- Worked as a research associate with Kris Kitani at the Robotics Institute for one year
Education
- Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University (CMU), Advisor: Prof. Kris Kitani
- M.Sc. from National Taiwan University, Advisor: Prof. Yu-Chiang Frank Wang
- B.S. from National Tsing Hua University
Background
- Research Interests: Machine Learning (ML) and Computer Vision (CV), particularly advanced multi-modal visual representation learning for perception, reasoning, and generation.
- Professional Fields: Generative AI, autonomous systems, and XR.
Miscellany
- Contact Information:
- Email: yujhe.jack [AT] gmail.com
- LinkedIn, Google Scholar, Github, Twitter
Co-authors
25 total
Kris Kitani
Carnegie Mellon University, Meta FAIR
Yu-Chiang Frank Wang
National Taiwan University & NVIDIA
Co-author 3
Xiaoliang Dai
Research Scientist, Meta GenAI
Co-author 5
Co-author 6
Xinshuo Weng
Senior Research Scientist, NVIDIA Research
Jinhyung Park
PhD Student, Carnegie Mellon University
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