Kelvin Yuxiang Huang
Undergraduate Researcher | CS & Stats @ UC Berkeley
yxkelvinhuang[at]berkeley.edu
I am a senior undergraduate student at the University of California, Berkeley, double majoring in Computer Science and Statistics.
My research interests lie broadly in Artificial Intelligence, with a specific focus on Trustworthy AI, Vision-Language Models (VLMs), and Agentic Systems. My current goal is to build AI systems that are robust against adversarial attacks and transparent through structured observability.
Currently, I am a Researcher on Trustworthy Agentic AI at UC Berkeley, advised by Prof. Dawn Song, focusing on structured observability for agent systems. Simultaneously, I conduct independent research on adversarial robustness for LVLMs at the Blender Lab (UIUC), advised by Prof. Qingyun Wang (now at William & Mary).
Previously, I was selected for the Summer Research Programme (SRP) at HKU-EEE, where I developed a physics-aware 3D generation pipeline advised by Prof. Xihui Liu. I also served as a Lead Developer at the Levi Lab (UC Berkeley), engineering computational frameworks for vision and eye movement modeling under Prof. Dennis Levi.
I am actively applying for Ph.D. programs for Fall 2026.
news
| Nov 19, 2025 | Thrilled to share that our paper on Trustworthy Agentic AI has been accepted to the AAAI 2026 TrustAgent Workshop! 🎉 |
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| Nov 05, 2025 | Thrilled to share that our paper on VLM adversarial robustness has been accepted to the AAAI 2026 AIGOV Workshop! 🎉 |
| Sep 21, 2025 | Excited to start as a researcher advised by Prof. Dawn Song to work on Trustworthy Agentic AI. |
| Apr 14, 2025 | Excited to kick off my research journey at Blender Lab (UIUC)! I will be working on VLM Robustness, advised by Prof. Qingyun Wang. |
| Mar 12, 2024 | Honored to be selected for the Summer Research Programme (SRP) at HKU, advised by Prof. Xihui Liu. |
selected publications
- AAAIwATLAS: Shielding Geolocation in LVLMs with Zero-Query Universal PerturbationsIn AAAI-26 Workshop on AI for Governance (AIGOV), 2026Accepted (Poster, Non-archival)
- AAAIwAgentTrace: A Structured Logging Framework for Agent System ObservabilityIn AAAI-26 Workshop on AI for TrustAgent, 2026Accepted (Poster, Non-archival)
* Equal contribution