Intro

I am a second-year Computer Science and Technology graduate student at Beijing Institute of Technology. Throughout my academic journey, I have been awarded multiple scholarships and recognized as an Outstanding Student at BIT.

I possess solid theoretical knowledge and practical experience in computer vision (CV) and natural language processing (NLP). I am comfortable working in an English-speaking environment and have multiple previous experiences. I am an optimistic individual with excellent communication skills, a strong aptitude for learning, self-motivation, adaptability, and resilience under pressure.

Educational Background

Master’s Degree, Beijing Institute of Technology

• Postgraduate recommendation
• Research interests: Large Language Model, Multimodal learning & Medical Image Processing (Beijing Key Lab of Intelligent Information Technology)
• Major: Computer Science and Technology
• Duration: 2023.09 - 2026.06 (expected)

Bachelor’s Degree, Beijing Institute of Technology

• Major: Computer Science and Technology
• Duration: 2019.09 - 2023.06

Publications:

• Mitigating Data Imbalance in Medical Report Generation through Visual Data Resampling. Haoquan Chen, Bin Yan and Mingtao Pei, accepted by the 2024 International Conference on Intelligent Computing (CCF-C, Oral, Session Chair).

Working Experience

01.AI, Multimodal Algorithm (Intern)

• Digtial human group, 2024.11-2025.02
• Digtial Human Matting

DENSO (China), Deep Learning Algorithm (Intern)

• Algorithm study group, 2024.08-2024.11
• Passenger Status Detection

Skills

• Program Languages: Python (Numpy/OpenCV/Pytorch), C/C++ (Object-oriented programming/OpenMP), SQL, Java
• Tools and Technologies: Linux Programming, Git, Latex/Markdown, MS Office, Google Workspace
• Tech blog: CSDN-QuanHaHQuan

Contact

• Email: haoquan.chen724@gmail.com
• WeChat: QuanHaHQuan