CV

Education

• The University of Hong Kong / Undergraduate FinTech / 24.9 – Now
  Courses (cGPA: 4.01/4.3)

  MATH1013: University Mathematics II (Calculus) [Grade: A]
  MATH1853: Linear Algebra, Probability and Statistics [Grade: A]
  COMP2121: Discrete Mathematics [Grade: A]
  COMP2119: Introduction to Data Structures and Algorithms [Grade: A-]
  ENGG1330: Computer Programming I (Python) [Grade: A+]
  FITE2000: Foundations of FinTech Programming (Java) [Grade: A+]
  COMP2113: Programming Technologies (C++) [Grade: A+]
  STAT1016: Data Science 101 [Grade: A]
  FITE1010: Introduction to Financial Technologies [Grade: A+]
  FITE3010: Big Data and Data Mining [Grade: B+]
  ECON1210: Introductory Microeconomics [Grade: A+]
  ACCT1101: Introduction to Financial Accounting [Grade: A+]
  FINA1310: Corporate Finance [Grade: A]
  BASC9001: Approaching Interdisciplinarity: Knowledge Beyond Disciplines [Grade: B+]
  
• Stanford University / International Honors Program / 25.6-25.8
  Courses (GPA: 3.636/4)

  EE364a: Convex Optimization I [Grade: A]
  CS229: Machine Learning [Grade: B]
  CS148: Introduction to Computer Graphics and Imaging [Grade: A]
  
• National University of Singapore / Exchange / 26.1 - 26.6
  Courses

  CS2100: Computer Organisation [Ongoing]
  CS2113: Software Engineering & Object-Oriented Programming [Ongoing]
  CS3230: Design and Analysis of Algorithms [Ongoing]
  IS4302: Blockchain and Distributed Ledger Technologies [Ongoing]
  

Work experience

• 26.1 – Now: Consultant of HKU Herkules RoboMaster Team
  • Duties: Coaching and guiding new club members
• 25.1 - Now: UG Research Assistant
  • The University of Hong Kong, School of Computing and Data Science, TASR Lab
  • Duties: Project lead and primary contributor
  • Supervisor: Prof. Chow Ka-Ho
• 24.11 - 25.12: Member of HKU Herkules RoboMaster Team
  • Duties: Training and deploying detection models on edge devices

Skills

• Language Grasp
  • Proficient in Python, Java, C++, LaTeX, and Bash
  • Familiar with common development tools: Linux shell, Conda, Git
  • Familiar with PyTorch frameworks
  • Familiar with popular libraries: torchvision, NumPy, Matplotlib, OpenCV
• Good grasp of VSCode tricks and Copilot models, enabling quick prototyping and efficient coding.
• Experience with Adversarial Machine Learning and Responsible AI.
• Experience with edge-device detection model deployment and optimization (NVIDIA Jetson Orin NX).
• Experience with training, distilling, and quantizing YOLO models.
• Proficient in English. (TOEFL 116/120, 2025.1)

Publications

TRivia: Self-supervised Fine-tuning of Vision-Language Models for Table Recognition

Junyuan Zhang, Bin Wang, Qintong Zhang, Fan Wu, Zichen Wen, Jialin Lu, Junjie Shan, Ziqi Zhao, Shuya Yang, Ziling Wang, Ziyang Miao, Huaping Zhong, Yuhang Zang, Xiaoyi Dong, Ka-Ho Chow, and Conghui He, "TRivia: Self-supervised Fine-tuning of Vision-Language Models for Table Recognition," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, CO, USA, Jun. 3-7, 2026.

Protego: User-Centric Pose-Invariant Privacy Protection Against Face Recognition-Induced Digital Footprint Exposure

Ziling Wang, Shuya Yang, Jialin Lu, and Ka-Ho Chow, "Protego: User-Centric Pose-Invariant Privacy Protection Against Face Recognition-Induced Digital Footprint Exposure," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, CO, USA, Jun. 3-7, 2026.