Intro

I am a second-year Computer Science and Technology graduate student at Beijing Institute of Technology, supervised by Prof. Mingtao Pei at MCIS Lab. I used to intern at Denso (China) and 01.AI for deep learning & multi-modal learning algorithms and gained strong experience in CV, NLP, LLM.

Educational Background

Master’s Degree, Beijing Institute of Technology

• Postgraduate recommendation
• Research interests: Multimodal learning & Medical Image Processing
• 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. Accepted by the 2024 International Conference on Intelligent Computing (ICIC, Oral, Session Chair).
• Retrieval from Dynamic Phrases: Generating Radiograph Reports with Phrase-Level Template and Dynamic Memory Bank. Accepted by the 2025 International Joint Conference on Neural Networks (IJCNN, Oral).

Internship Experience

TeleAI, Visual Foundation Model Algorithm

• 2025.05-present
• Visual Content Understanding Department
• Unified Visual Foundation Model

01.AI, Multimodal Algorithm

• 2024.11-2025.02
• Digtial Human Production & Technology Department
• Textual-info Guided Real-Scene Human Matting

DENSO (China), Deep Learning Algorithm

• 2024.08-2024.11
• AI Algorithm Study Department
• Autonoums Driving Pre-study & 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