Ziyuan Luo
 |
Ph.D. Student |
Short Bio
I am currently a Ph.D. student 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 neural radiance fields, implicit neural representations, digital watermarking, and inverse problems.
Recent Publications
* indicates equal contribution.
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, 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, 2020
[Paper]
CogSimulator: A Model for Simulating User Cognition & Behavior with Minimal Data for Tailored Cognitive Enhancement
Weizhen Bian, Yubo Zhou, Yuanhang Luo, Ming Mo, Siyan Liu, Yikai Gong, Ziyuan Luo, Aobo Wang, Renjie Wan
In Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci), 2024
[Paper]
Honors & Awards
Best Research Performance Award, Department of Computer Science of HKBU (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)
Teaching
COMP7035 (Teaching Assistant): Python for Data Analysis and Machine Intelligence, 2023/2024 S1, HKBU
COMP7930 (Teaching Assistant): Big Data Analytics, 2022/2023 S2, HKBU
