Yongli Xiang
Ph.D. Student @ University of Sydney
Hi, I am a first-year Ph.D. student at the University of Sydney, supervised by Prof. Tongliang Liu. I obtained my M.Sc. degree from USYD in 2025, also supervised by Prof. Liu. Before turning to academia, I worked as a Product Manager in Ads at Tencent. My research focuses on Generative AI Safety and Intellectual Property (IP) Protection for AI models, aiming to make advanced AI systems safer in what they generate and more controllable in how they generalize.
News
- 2026.06📢 Our ECCV LifeGenIP Workshop call for papers and challenge is now open.
- 2026.06🎤 Invited by NVIDIA to give a Tech Talk at CVPR 2026. Thanks for the invitation!
- 2026.03🎉 One paper (When Safety Collides) accepted to CVPR 2026.
- 2025.12🏅 Named in the USYD Engineering Postgraduate High Honour Roll. Thanks for the recognition!
- 2025.07✨ Received OpenAI Researcher Access Program support. Thanks for the support!
Selected Publications
* Equal contribution; † Corresponding author
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When Safety Collides: Resolving Multi-Category Harmful Conflicts in Text-to-Image Diffusion via Adaptive Safety Guidance
Yongli Xiang, Ziming Hong†, Zhaoqing Wang, Xiangyu Zhao, Bo Han, Tongliang Liu†.
CVPR, 2026 GenAI Safety -
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising.
Yongli Xiang, Ziming Hong†, Lina Yao, Dadong Wang, Tongliang Liu†.
CVPR, 2025 NTL for IP Protection -
Toward Robust Non-Transferable Learning: A Survey and Benchmark
Ziming Hong*, Yongli Xiang*, Tongliang Liu†.
IJCAI, Survey Track, 2025 NTL for IP Protection -
VII: Visual Instruction Injection for Jailbreaking Image-to-Video Generation Models
Bowen Zheng, Yongli Xiang, Ziming Hong, Zerong Lin, Chaojian Yu, Tongliang Liu, Xinge You.
arXiv Preprint, 2026 GenAI Safety
Academic Services
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LifeGenIP: Life-Cycle Intellectual Property Governance of Visual Generative Models
Organizer, ECCV Workshop, 2026 IP Protection
Teaching
- 2025 S1Tutor: COMP5046 Natural Language Processing