Yuxin Huang

I'm an M.Phil. student at the School of Computer Science, the University of Sydney, supervised by Prof. Tongliang Liu. My research interests include computer vision, intellectual property (IP) protection, and generative AI.

Email / Google Scholar / Github / LinkedIn

Selected Publications

	Delving into the Temporal Challenges of Unified Video Protection Against Image-to-Video and Fine-Tuning-based Customization Yuxin Huang, Ziming Hong, Mingming Gong, Wanyu Wang, Jing Zhang, Tongliang Liu Arxiv Preprint, 2026 project page / arxiv / evaluation code We are the first to formulate and study the problem of unified video protection against both reference- and tuningbased customization. We identify three key temporal challenges and propose a unified video protection method TC-UAP. This work provides a basis for the ECCV 2026 LifeGenIP Challenge.
	Self-Aligning Depth-Regularized Radiance Fields for Asynchronous RGB-D Sequences Yuxin Huang, Andong Yang, Yuantao Chen, Runyi Yang, Zhenxin Zhu, Chao Hou, Hao Zhao, Guyue Zhou WACV, 2025 arxiv / code We propose the first NeRF approach that self-calibrates the misalignment between unsynchronized RGB and depth frames, learning an implicit time-pose network jointly with the radiance field.
	Attention Heads of Large Language Models Zifan Zheng, Yezhaohui Wang, Yuxin Huang, Shichao Song, Mingchuan Yang, Bo Tang, Feiyu Xiong, Zhiyu Li Patterns*, 2025 arxiv We survey functionally specialized attention heads in LLMs, categorizing them with a human-inspired four-stage framework (knowledge recalling, in-context identification, latent reasoning, expression preparation) and reviewing how such heads are discovered and evaluated.
	MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving Zirui Wu, Tianyu Liu, Liyi Luo, Zhide Zhong, Jianteng Chen, Hongmin Xiao, Chao Hou, Haozhe Lou, Yuantao Chen, Runyi Yang, Yuxin Huang, Xiaoyu Ye, Zike Yan, Yongliang Shi, Yiyi Liao, and Hao Zhao CICAI, 2023 (Oral) project page / arxiv We propose an open-source autonomous driving simulator built on neural radiance fields (NeRFs). It is instance-aware, modular, and realistic, achieving state-of-the-art photorealism.

Academic Services

Organizer

LifeGenIP Competition: Unlearnable Videos against Diffusion-based Customization @ ECCV 2026

Miscellanea

Teaching

Tutor - INFO2222 Computing 2 Usability and Security (2026S1)

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