GitHub QwQSama

Experience

  1. AI Research Intern

    EPFL VITA Lab
    • Developed a diffusion-based denoiser for pedestrian trajectory prediction to handle noisy real-world data.
    • Applied the denoiser in trajectory prediction tasks, achieving robust performance in noisy environments.

  2. Research Intern

    Homiwoo
    • Worked on cross-view geo-localization using datasets like CVUSA and CVACT.
    • Improved model performance with advanced data preprocessing and fine-tuning techniques.

  3. Machine Learning Research Intern

    INRAE
    • Developed and trained neural networks for simulating granular material behavior in geomechanics.
    • Replaced traditional H-model structures with more efficient machine learning models.

  4. Research Assistant

    École Polytechnique
    • Investigated quaternion and tensor fields for implicit surface modeling.
    • Explored anisotropic blending techniques and developed methods for skeleton-based implicit surfaces.

Education

  1. Master of AI and Advanced Visual Computing

    École Polytechnique
    • GPA: 3.49/4.0
    • Major Courses: Machine Learning, Deep Learning, Natural Language Processing, Deep Reinforcement Learning, Computer Vision

  2. Bachelor of Computer Science and Mathematics

    École Polytechnique
    • GPA: 3.72/4.0
    • Major Courses: Machine Learning, Computer Programming, Computer Graphics, Numerical Methods

  3. Bachelor Exchange Program in Computer Science & Mathematics

    École Polytechnique Fédérale de Lausanne (EPFL)
    Participated in an exchange program at EPFL with a focus on computer science and mathematics.
Skills & Hobbies
Programming
Python, C++, C
TensorFlow
PyTorch
Hobbies
The game of Go
Hiking
Swimming
Languages
100%
Chinese
80%
English
30%
French