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About Me

Hi, I am Haoyu Wang (王浩宇).

I am an M.Phil. student in Artificial Intelligence at The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), starting from Sept. 2025. Previously, I received my B.Eng. degree in Computer Science and Technology from Anhui Agricultural University in June 2024, graduating as an Outstanding Graduate of Anhui Province.

My research journey includes experiences at Southeast University and Beijing QiAnXin Technology Research Institute. I am passionate about Multimodal Large Models (VLM), Computer Vision (CV), and AI Safety.

If you are interested in any aspect of my work, feel free to reach out to me at 225085019@link.cuhk.edu.cn.


Research Interests

  • Multimodal Large Models (VLM)
  • Computer Vision (CV)
  • Machine Learning (ML)
  • AI Safety

My current research focuses on practical problems that artificial intelligence faces in real life, particularly in the safety and capabilities of large models.


Education

  • The Chinese University of Hong Kong, Shenzhen (CUHK-SZ) (Sept. 2025 – Present)
    M.Phil. in Artificial Intelligence | Shenzhen, China

  • Anhui Agricultural University (Sept. 2020 – June 2024)
    B.Eng. in Computer Science and Technology | Hefei, China
    GPA: 88.78/100 | Rank: 2/423 (Top 0.5%) | IELTS: 7.0
    Awards: Outstanding Graduate of Anhui Province; National Scholarship equivalent (Merit Student).


Intern Experience

  • Beijing QiAnXin Technology Research Institute (July 2025 – Nov. 2025)
    Algorithm Research Intern (LLM & API Safety) | Beijing, China

  • Anhui Zhongke Jingge Co., Ltd. (Mar. 2024 – June 2024)
    Algorithm Research Intern (RAG & SFT) | Hefei, China

  • VWAC (Oct. 2023 – Jan. 2024)
    Intern of TP


Technical Skills

  • Languages & Tools: Python, C/C++, PyTorch, MATLAB, SQL, Docker, Linux, Git.
  • Core Competencies: LLM Training (Pre-train/SFT/DPO), Multimodal Learning, RAG, Agentic Workflow.

News and Updates

  • June 2024:Very excited to be awarded as the Outstanding Graduates of Anhui Province!
  • Sept 2021:Started research programme at [AIE Lab Room 766], advised by Prof. Wu.