Renjie Group
PI
Group Members
Teaching
Publications
Renjie Group Photo

Renjie Group

At Renjie Group, we pursue the research topics that we find most inspiring and meaningful.

We have several Ph.D. openings at this moment. If you want to work with us in the future, please feel free to drop us an email. All emails/CVs are carefully read and evaluated. Only matched candidates will be responded.

Our Current Research Interests
  • Digital Copyright Protection
  • Neural Representation
  • Image Processing
  • AI Security
Photo

Principal Investigator

Renjie Wan

Assistant Professor
Department of Computer Science
Hong Kong Baptist University
Email: wanpeoplejie [at] gmail (dot) com

Google Scholar / XiaoHongShu / HKBU Scholars / ORCiD/

Renjie Wan is an Assistant Professor at the Department of Computer Science of Hong Kong Baptist University.

He obtained his Ph.D. degree from Nanyang Technological University in 2019.

Before joining HKBU, he was a Wallenberg-NTU Presidential Postdoctoral Fellow of Nanyang Technological University from 2020 to 2022.

Group Members

Ph.D. Students
  • Ziyuan Luo (Fall 2022)
  • Qi Song (Fall 2023)
  • Ruofei Wang (Fall 2023)
  • Xiufeng Huang (Fall 2023)
  • Haoliang Han (Fall 2024)
  • Yingjie Lu (Fall 2025)
  • Yangyi Zhao (Fall 2025)
Research Assistants
  • We need new RA now
Alumni
  • Xuanning Cui (Visiting student from PKU)
  • Langxi Huang (RA, then to CityU for Ph.D.)

Teaching

  • COMP3057: Introduction to AI and ML, Fall 2025, HKBU
  • COMP3065: AI Application Development, Spring 2023/2024/2025, HKBU
  • COMP7035: Python for Data Analysis and Artificial Intelligence, Fall 2022/2023/2024/2025, HKBU

Our Selected Publications

2025
Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation
Ziyuan Luo, Yangyi Zhao, Ka Chun Cheung, Simon See, Renjie Wan*
Align 3D Representation and Text Embedding for 3D Content Personalization
Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan*
MarkSplatter: Generalizable Watermarking for 3D Gaussian Splatting Model via Splatter Image Structure
Xiufeng Huang, Ziyuan Luo, Qi Song, Ruofei Wang, Renjie Wan*
Stereo-GS: Multi-View Stereo Vision Model for Generalizable 3D Gaussian Splatting Reconstruction
Xiufeng Huang, Ka Chun Cheung, Runmin Cong, Simon See, Renjie Wan*
Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset
Ruofei Wang, Peiqi Duan, Boxin Shi, Renjie Wan*
The NeRF Signature: Codebook-Aided Watermarking for Neural Radiance Fields
Ziyuan Luo, Anderson Rocha, Boxin Shi, Qing Guo, Haoliang Li, Renjie Wan*
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*
2024
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images
Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan*
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting
Xiufeng Huang, Ruiqi Li, Yiu-ming Cheung, Ka Chun Cheung, Simon See, Renjie Wan*
Event Trojan: Asynchronous Event-based Backdoor Attacks
Ruofei Wang, Qing Guo, Haoliang Li, Renjie WAN*
Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems
Ziyuan Luo, Boxin Shi, Haoliang Li, Renjie WAN*
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields
Xiufeng Huang, Ka Chun Cheung, Simon See, Renjie WAN*
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model
Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie WAN*
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment
Kecheng Chen, Jie Liu, Renjie WAN*, Victor Ho-Fun Lee, Varut Vardhanabhuti, Hong Yan, Haoliang Li*
Neural Underwater Scene Representation
Yunkai Tang, Chengxuan Zhu, Renjie WAN*, Chao Xu, Boxin Shi*
Colorizing Monochrome Radiance Fields
Yean Cheng, Renjie WAN*, Shucheng Weng, Chengxuan Zhu, Yakun Chang, Boxin Shi*
2023
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields
Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan*
Cross-Image Disentanglement for Low-Light Enhancement in Real World
Lanqing Guo, Renjie Wan, Wenhan Yang, Alex Kot, Bihan Wen
TCSVT 2023 / Code
Occlusion-Free Scene Recovery via Neural Radiance Fields
Chengxuan Zhu, Renjie Wan, Yunkai Tang, Boxin Shi
Coarse-to-fine Disentangling Demoiring Framework for Recaptured Screen Images
Ce Wang, Bin He, Shengsen Wu, Renjie Wan, Boxin Shi, Ling-Yu Duan
TPAMI 2023
2022
Purifying Low-light Images via Near-Infrared Enlightened Image
Renjie Wan, Boxin Shi, Wenhan Yang, Bihan Wen, Ling-Yu Duan, Alex C. Kot
Neural Transmitted Radiance Fields
Chengxuan Zhu, Renjie Wan, Boxin Shi
NeurIPS 2022 / Paper / Project Page
Benchmarking Single Image Reflection Removal Algorithms
Renjie Wan, Boxin Shi, Haoliang Li, Yuchen Hong, Ling-Yu Duan, Alex C. Kot
TPAMI 2022 / Paper / Project Page
Low-Light Image Enhancement with Normalizing Flow
Yufei Wang, Renjie Wan*, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot
AAAI2022 / Paper / Project webpage
Learning Meta Pattern for Face Anti-Spoofing
Rizhao Cai, Zhi Li, Renjie Wan, Haoliang Li, Yongjian Hu, Alex C. Kot
IEEE Transactions on Information Forensics & Security, 2022
2020
Face Image Reflection Removal
Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot
International Journal of Computer Vision 2020
2019
CoRRN: Cooperative Reflection Removal Network
Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
TPAMI 2019 / Dataset / Code
2018
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
CVPR 2018 / Paper
Region-Aware Reflection Removal with Unified Content and Gradient Priors
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Gao Wen, Alex C. Kot
IEEE Transactions on Image Processing 2018 / Paper
2017
Benchmarking Single-Image Reflection Removal Algorithms
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
International Conference on Computer Vision 2017 / Paper
2016
Depth of field guided reflection removal
Renjie Wan, Boxin Shi, Ah-Hwee Tan, Alex C. Kot
International Conference on Image Processing 2016 / Code