Scholar
Yao Qin
Google Scholar ID: GdqNkxEAAAAJ
UCSB & Google DeepMind
Machine Learning
Computer Vision
Natural Language Processing
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Citations & Impact
All-time
Citations
3,493
H-index
15
i10-index
17
Publications
20
Co-authors
7
list available
Contact
Email
yaoqin@ucsb.edu
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Publications
17 items
ExpressEdit: Fast Editing of Stylized Facial Expressions with Diffusion Models in Photoshop
2026
Cited
0
Banana100: Breaking NR-IQA Metrics by 100 Iterative Image Replications with Nano Banana Pro
2026
Cited
0
BloClaw: An Omniscient, Multi-Modal Agentic Workspace for Next-Generation Scientific Discovery
2026
Cited
0
From Out-of-Distribution Detection to Hallucination Detection: A Geometric View
2026
Cited
0
MetaboNet: The Largest Publicly Available Consolidated Dataset for Type 1 Diabetes Management
2026
Cited
0
Zero-Training Task-Specific Model Synthesis for Few-Shot Medical Image Classification
2025
Cited
0
Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches
2025
Cited
0
Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs
2025
Cited
0
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Resume (English only)
Academic Achievements
Serving as Area Chair for NeurIPS-25, ICML-25/24, ICLR-25/24/23, ICCV-25/23, CVPR-25, AAAI-25
Co-Local Arrangement Chair for KDD-2023
Multiple papers accepted to top venues in 2025, including NeurIPS, EMNLP, CVPR, ICLR, and Diabetes Technology and Therapeutics
Won the American Diabetes Association Abstract Award (ADA-2025)
Organized two NeurIPS-2024 workshops: AdvML-Frontiers and AIM-FM
Invited talks at DTM-2025, ATTD-2025, ICCV-25 workshops, USC symposium, Endocrine Society AI Summit, NIDDK Workshop, etc.
Background
Assistant Professor in the Department of Electrical and Computer Engineering at UC Santa Barbara, affiliated with the Department of Computer Science
Co-Director of the REAL AI Initiative
Senior Research Scientist at Google DeepMind, working on Gemini Multimodal
Research interests focus on robustness in machine learning, including adversarial robustness, out-of-distribution generalization, and fairness
Passionate about developing reliable AI-driven models for healthcare, especially diabetes management
Lab research themes include: multi-modal modeling, reliable AI for diabetes, and time series foundation models
Co-authors
7 total
Alex Beutel
OpenAI
Colin Raffel
University of Toronto, Vector Institute and Hugging Face
Nicholas Carlini
Anthropic
Ed H. Chi
Google DeepMind / Google Brain
Huchuan Lu, IEEE FELLOW
dalian university of technology
Ian Goodfellow
DeepMind
Geoffrey Hinton
Emeritus Prof. Computer Science, University of Toronto
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