Renjie Group
PI
News
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, please feel free to drop us an email. All emails/CVs are carefully read and evaluated. Only matched candidates will be responded.

We do not have RA positions at this moment.

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

Principal Investigator

万人杰 / Renjie Wan

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

Google Scholar / XiaoHongShu / HKBU Scholars

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 supervised by Prof. Alex Kot.

Before coming to Hong Kong, he was based at Nanyang Technological University in Singapore from 2014 to 2022.

News

  • [2026.06] Two papers are accepted by ECCV 2026!
  • [2026.06] Our paper "Texvent" won the Best Paper Award Candidate at CVPR 2026!
  • [2026.04] One paper accepted at Pattern Recognition 2026.
  • [2026.04] Dr. Ziyuan Luo received the RGC Junior Research Fellow Scheme! [Link]
  • [2026.03] Renjie Group's first Ph.D. graduate, Dr. Ziyuan Luo! [Link]
  • [2026.02] Three papers accepted at AAAI 2026.
  • [2026.02] One paper accepted at ICML 2026.
  • [2026.01] Renjie Wan received the Outstanding Research Output Award 2024/25. [Link]
  • [2025.12] Our paper accepted at NeurIPS 2025.
  • [2025.10] One paper accepted at TIFS 2025.
  • [2025.10] Ziyuan Luo received the Madam Kwok Chung Bo Fun PhD Student Research Excellence Awards 2025/26. [Link]
  • [2025.09] Three papers accepted at ACM Multimedia 2025.
  • [2025.08] One paper accepted at ICCV 2025 (Highlight).
  • [2025.07] One paper accepted at TPAMI 2025.
  • [2025.06] Renjie Wan received the Early Career Scheme (杰出青年学者计划) from the RGC.
  • [2025.04] Renjie Wan awarded a Silver Medal at the 50th International Exhibition of Inventions Geneva. [Link]
  • [2025.01] One paper (Oral) accepted at AAAI 2025.

Group Members

Postdocs (* graduated from Renjie Group)
  • Ziyuan Luo* (Supported by RGC Junior Research Fellow Scheme)
Ph.D. Students
  • Qi Song (Fall 2023)
  • Ruofei Wang (Fall 2023)
  • Xiufeng Huang (Fall 2023)
  • Haoliang Han (Fall 2024)
  • Yingjie Lu (Fall 2025)
  • Yangyi Zhao (Fall 2025)
Alumni
  • Xuanning Cui (Visiting student from PKU)
  • Langxi Huang (Next: Ph.D. of CityU)
  • Xianzu Wu (Next: RA of CUHK(SZ))

Teaching

  • COMP3057: Introduction to AI and ML, Fall 2025/2026 HKBU
  • COMP3065: AI Application Development, Spring 2023/2024/2025, HKBU
  • COMP7035: Python for Data Analysis and Artificial Intelligence, Fall 2022/2023/2024/2025/2026, HKBU
  • COMP7040: Advanced Topics in Computer Vision and Pattern Recognition, Spring 2026/2027, HKBU

Our Selected Publications

2026
Generating Multi-view Adversarial Examples for Visual Geometry Grounded Transformer
Qi Song, Ziyuan Luo, Haoliang Han, Renjie Wan
European Conference on Computer Vision 2026
From Noise to Events: Conditional Diffusion for Event Data Augmentation
Ruofei Wang, Ziyuan Luo, Peiqi Duan, Xiufeng Huang, Boxin Shi, Renjie Wan*
European Conference on Computer Vision 2026
Adversarially Robust Multimedia Watermarking via Data-Centric Optimization
Ziyuan Luo, Qi Song, Haoliang Li, Anderson Rocha, Renjie Wan*
Pattern Recognition 2026
GaussTrace: Provenance Analysis of 3D Gaussian Splatting Models with Evidence-based LLM Reasoning
Haoliang Han, Ziyuan Luo, Renjie Wan*
International Conference on Machine Learning 2026
Texvent: Asynchronous Event Data Simulation via Text Prompt
Ruofei Wang, Peiqi Duan, Ka Chun Cheung, Simon See, Boxin Shi, Renjie Wan*
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (Oral, Best Paper Award Candidate)
Creating Blank Canvas Against AI-enabled Image Forgery
Qi Song, Ziyuan Luo, Renjie Wan*
AAAI Conference on Artificial Intelligence 2026
GS-Checker: Tampering Localization for 3D Gaussian Splatting
Haoliang Han, Ziyuan Luo, Jun Qi, Anderson Rocha, Renjie Wan*
AAAI Conference on Artificial Intelligence 2026
2025
MantleMark: Migrating Watermarks from Multi-View Images to Radiance Fields via Frequency Modulation
Ziyuan Luo, Jun Liu, Haoliang Li, Anderson Rocha, Renjie Wan*
IEEE Transactions on Information Forensics and Security 2025
Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation
Ziyuan Luo, Yangyi Zhao, Ka Chun Cheung, Simon See, Renjie Wan*
Conference on Neural Information Processing Systems 2025 / Project Page with Paper and Code
Align 3D Representation and Text Embedding for 3D Content Personalization
Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan*
ACM Multimedia 2025 / Project Page with Paper and Code
MarkSplatter: Generalizable Watermarking for 3D Gaussian Splatting Model via Splatter Image Structure
Xiufeng Huang, Ziyuan Luo, Qi Song, Ruofei Wang, Renjie Wan*
ACM Multimedia 2025 / Project Page with Paper and Code
Stereo-GS: Multi-View Stereo Vision Model for Generalizable 3D Gaussian Splatting Reconstruction
Xiufeng Huang, Ka Chun Cheung, Runmin Cong, Simon See, Renjie Wan*
ACM Multimedia 2025 / Project Page with Paper and Code
Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset
Ruofei Wang, Peiqi Duan, Boxin Shi, Renjie Wan*
IEEE/CVF International Conference on Computer Vision 2025 (Highlight) / Project Page with Paper and Code
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 2025 / Project Page with Paper and 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*
AAAI Conference on Artificial Intelligence 2025 (Oral) / Project Page with Paper and Code
2024
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images
Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan*
Conference on Neural Information Processing Systems 2024 / Project Page with Paper and Code
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting
Xiufeng Huang, Ruiqi Li, Yiu-ming Cheung, Ka Chun Cheung, Simon See, Renjie Wan*
Conference on Neural Information Processing Systems 2024 / Project Page with Paper and Code
Event Trojan: Asynchronous Event-based Backdoor Attacks
Ruofei Wang, Qing Guo, Haoliang Li, Renjie WAN*
European Conference on Computer Vision 2024 / Project Page with Paper and Code
Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems
Ziyuan Luo, Boxin Shi, Haoliang Li, Renjie WAN*
European Conference on Computer Vision 2024 / Project Page with Paper and Code
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields
Xiufeng Huang, Ka Chun Cheung, Simon See, Renjie WAN*
European Conference on Computer Vision 2024 / Project Page with Paper and Code
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model
Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie WAN*
European Conference on Computer Vision 2024 / Project Page with Paper and Code
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*
IEEE Transactions on Neural Networks and Learning Systems 2024 / Project Page with Paper and Code
Neural Underwater Scene Representation
Yunkai Tang, Chengxuan Zhu, Renjie WAN*, Chao Xu, Boxin Shi*
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 / Project Page with Paper and Code
Colorizing Monochrome Radiance Fields
Yean Cheng, Renjie WAN*, Shucheng Weng, Chengxuan Zhu, Yakun Chang, Boxin Shi*
AAAI Conference on Artificial Intelligence 2024 (Oral) / Project Page with Paper and Code
2023
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields
Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan*
IEEE/CVF International Conference on Computer Vision 2023 / Project Page with Paper and Code
Cross-Image Disentanglement for Low-Light Enhancement in Real World
Lanqing Guo, Renjie Wan, Wenhan Yang, Alex Kot, Bihan Wen
IEEE Transactions on Circuits and Systems for Video Technology 2023 / Code
Occlusion-Free Scene Recovery via Neural Radiance Fields
Chengxuan Zhu, Renjie Wan, Yunkai Tang, Boxin Shi
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 / Paper / Project Page with Code
Coarse-to-Fine Disentangling Demoiring Framework for Recaptured Screen Images
Ce Wang, Bin He, Shengsen Wu, Renjie Wan, Boxin Shi, Ling-Yu Duan
IEEE Transactions on Pattern Analysis and Machine Intelligence 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
Conference on Neural Information Processing Systems 2022 / Paper / Project Page
Benchmarking Single Image Reflection Removal Algorithms
Renjie Wan, Boxin Shi, Haoliang Li, Yuchen Hong, Ling-Yu Duan, Alex C. Kot
IEEE Transactions on Pattern Analysis and Machine Intelligence 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
AAAI Conference on Artificial Intelligence 2022 / 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 and Security 2022
Early Papers
Face Image Reflection Removal
Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot
International Journal of Computer Vision 2020
CoRRN: Cooperative Reflection Removal Network
Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
IEEE Transactions on Pattern Analysis and Machine Intelligence 2019 / Dataset / Code
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
IEEE/CVF Conference on Computer Vision and Pattern Recognition 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
Benchmarking Single-Image Reflection Removal Algorithms
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
IEEE/CVF International Conference on Computer Vision 2017 / Paper
Depth of Field Guided Reflection Removal
Renjie Wan, Boxin Shi, Ah-Hwee Tan, Alex C. Kot
IEEE International Conference on Image Processing (ICIP) 2016 / Code