Scholar
Andong Hua
Google Scholar ID: eWGmFY0AAAAJ
University of California, Santa Barbara
Citations & Impact
Citations
20
H-index
2
i10-index
1
Publications
5
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs, EMNLP 2025 (Main Conference)
- - NutriBench: A Dataset for Evaluating Large Language Models in Nutrition Estimation from Meal Descriptions, ICLR 2025
- - Improving Adversarial Transferability in MLLMs via Dynamic Vision-Language Alignment Attack, Preprint, 2024
- - Initialization Matters for Adversarial Transfer Learning, CVPR 2024
Research Experience
- PhD Student: University of California, Santa Barbara, Department of Electrical and Computer Engineering, Time: Jan 2024 - Present
- Applied Scientist Intern: Amazon Smart Vehicle Team, Time: June 2025 - Sep 2025
- Research Assistant: University of California, Santa Barbara, Time: Feb 2023 - Jan 2024
- Research Engineer: TuSimple, Perception Team, Time: Jun 2022 - Feb 2023
Education
- PhD: University of California, Santa Barbara (UCSB), Department of Electrical and Computer Engineering, Advisor: Prof. Yao Qin, Time: Jan 2024 - Present
- Master's: University of California, Los Angeles (UCLA), Department of Electrical and Computer Engineering, Time: Sep 2020 - Jun 2022
- Bachelor's: University of Nottingham, Department of Electrical and Electronic Engineering, Time: Sep 2016 - Jun 2020
Background
- Research Interests: Machine learning and artificial intelligence, with a focus on robustness and safety in large language models, vision models, and multimodal models; AI for healthcare, such as nutrition estimation.
