Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Ultralytics’ MPS problem
Published:
You can’t really use Ultralytics’ pose models (training and inference) on MPS devices. There will be strange results.
FaceScrub’s virus problem
Published:
FaceScrub requires downloading raw images from the links provided in the dataset. However, since FS is quite old, many of the links are broken, with some even leading to Trojan viruses.
Use Git! Never trust the IT department with your code…
Published:
The IT support recently added a new hard drive to the server but accidentally erased the old disk and 2TB of history data is lost… So, trust Git and your own backup services!
portfolio
Real MTCNN-PyTorch
The MTCNN that makes full use of PyTorch and Torchvision! I never understand why common MTCNN-PyTorch implementations have to convert images back to PIL Images and back to Tensors again and again. This implementation avoids that and is much faster.
generals.ai
Group project for COMP2113. We implemented the game generals.io in terminal using only C++ STL libraries. We also added four kinds of AI players with different strategies. (I have always wanted to do this ever since I started playing the game at high school… Quite some dream come true here…)
SPY ETF Close Price Regression
Group project for FITE3010. We tried out 9 models including: ARIMA-GARCH Hybrid Model, BNN, Multi-asset Attention Model, RF, MLP, SVR, HMM, TFT, and XGBoost. I am responsible for the TFT part and made it public on GitHub. It reached a test MSE of 89.19.
publications
Protego: User-Centric Pose-Invariant Privacy Protection Against Face Recognition-Induced Digital Footprint Exposure
Published in arXiv, under review of a CCF-A conference, 2025
Protego encapsulates a user’s 3D facial signatures into a pose-invariant 2D representation, which is dynamically deformed into a natural-looking 3D mask tailored to the pose and expression of any facial image of the user, and applied prior to online sharing. Motivated by a critical limitation of existing methods, Protego amplifies the sensitivity of FR models so that protected images cannot be matched even among themselves.
Recommended citation: Ziling Wang, Shuya Yang, Jialin Lu, Ka-Ho Chow (2025). "Protego: User-Centric Pose-Invariant Privacy Protection Against Face Recognition-Induced Digital Footprint Exposure." arXiv. 1(3).
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TRivia: Self-supervised Fine-tuning of Vision-Language Models for Table Recognition
Published in arXiv, under review of a CCF-A conference, 2025
TRivia is a self-supervised fine-tuning method that enables pretrained vision-language models to learn table recognition directly from unlabeled table images in the wild. Built upon Group Relative Policy Optimization, TRivia automatically identifies unlabeled samples that most effectively facilitate learning and eliminates the need for human annotations through a question-answering-based reward mechanism.
Recommended citation: Junyuan Zhang and Bin Wang and Qintong Zhang and Fan Wu and Zichen Wen and Jialin Lu and Junjie Shan and Ziqi Zhao and Shuya Yang and Ziling Wang and Ziyang Miao and Huaping Zhong and Yuhang Zang and Xiaoyi Dong and Ka-Ho Chow and Conghui He (2025). "TRivia: Self-supervised Fine-tuning of Vision-Language Models for Table Recognition." arXiv. 1(3).
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services
Conference Reviewer - EuroSP2026
IEEE European Symposium on Security and Privacy (EuroSP) 2026 Reviewer
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.