Ziyuan Luo | 罗梓源
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Ph.D. Candidate |
Short Bio
I am currently a Ph.D. candidate in the Department of Computer Science at
Hong Kong Baptist University, supervised by Dr. WAN, Renjie.
I obtained my bachelor's degree and master's degree in Communication Engineering from
the School of Information and Communication Engineering at University of Electronic Science and Technology of China (UESTC)
in 2019 and 2022, respectively. Since September 2022, I have also been a research intern at NVIDIA AI Technology Center.
My research interests include image/3D watermarking, LLM/RAG safety, and inverse scattering problems.
Publications
* indicates equal contribution.
The NeRF Signature: Codebook-Aided Watermarking for Neural Radiance Fields
Ziyuan Luo, Anderson Rocha, Boxin Shi, Qing Guo, Haoliang Li, Renjie Wan
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2025
[Paper] [Code]
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
Ruofei Wang, Hongzhan Lin, Ziyuan Luo, Ka Chun Cheung, Simon See, Jing Ma, Renjie Wan
In Association for the Advancement of Artificial Intelligence (AAAI Oral), Philadelphia, 2025
[Paper] [Code]
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images
Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan
In Advances in Neural Information Processing Systems (NeurIPS), Vancouver, 2024
[Project Page]
Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems
Ziyuan Luo, Boxin Shi, Haoliang Li, Renjie Wan
In European Conference on Computer Vision (ECCV), Milan, 2024
[Paper] [Project Page]
Protecting NeRFs’ Copyright via Plug-And-Play Watermarking Base Model
Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan
In European Conference on Computer Vision (ECCV), Milan, 2024
[Paper] [Project Page]
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields
Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan
In International Conference on Computer Vision (ICCV), Paris, 2023
[Paper] [Project Page] [VALSE Video] [Hugging Face Daily Papers]
A Vector and Geometry Interpretation of Basic Probability Assignment in Dempster‐Shafer Theory
Ziyuan Luo and Yong Deng
International Journal of Intelligent Systems (IJIS), 2020
[Paper]
A Matrix Method of Basic Belief Assignment's Negation in Dempster–Shafer Theory
Ziyuan Luo and Yong Deng
IEEE Transactions on Fuzzy Systems (TFS), 2020
[Paper]
Preprints
MantleMark: Migrating Watermarks from Multi-View Images to Radiance Fields via Frequency Modulation
Ziyuan Luo, Jun Liu, Haoliang Li, Anderson Rocha, Renjie Wan
Preprint, 2025
[Paper]
Adversarially Robust Digital Watermarking via Data-Centric Optimization
Ziyuan Luo, Qi Song, Haoliang Li, Anderson Rocha, Renjie Wan
Preprint, 2025
[Paper]
Unified Steganography via Implicit Neural Representation
Qi Song, Ziyuan Luo, Xiufeng Huang, Sheng Li, Renjie Wan
Preprint, 2025
[Paper]
Honors & Awards
Yakun Scholarship Scheme, HKBU (2025)
Best Research Performance Award, HKBU (2024, 2025)
Teaching Assistant Performance Awards, HKBU (2024, 2025)
ACM MM Outstanding Reviewers, ACM MM (2024)
UESTC Outstanding Students (成电杰出学生), UESTC (2018)
National Scholarship (国家奖学金), Ministry of Education of the People's Republic of China (2016, 2017, 2020, 2021)
Outstanding Graduates of Sichuan Province, Education Department of Sichuan Province (2018, 2022)
Goodix Scholarship, Goodix Technology, Inc (2018, 2020)
Tang Lixin Scholarship (唐立新奖学金), Tang Lixin Education Development Fund (2016)
Academic Service
Conference Reviewer: NeurIPS, ICML, CVPR, ICCV, ICLR, ACM MM, BMVC, ICASSP, IJCNN
Journal Reviewer: IEEE TIFS, IEEE TIP, IEEE TMM, CGF, IEEE TCAS
Teaching
COMP7035 (Teaching Assistant): Python for Data Analysis and Machine Intelligence, 2023/2024 S1, HKBU
COMP7930 (Teaching Assistant): Big Data Analytics, 2022/2023/2024 S2, HKBU
