About

Hi there! I’m Yiming Chen, currently pursuing a dual degree at École Polytechnique, specializing in statistics and random phenomena modeling. I am also a MSc in information enginnering in Shanghai Jiao Tong University. My research focuses on computer vision and 3D scene understanding.

I’m currently involved in studying 3D scene generation and 3D panoptic segmentation at Mediabrain Laboratory affiliated with Cooperative Media Innovation Center, SJTU. If you're passionate about computer vision, GenAI, or statistics, I’d love to connect and exchange ideas.

Education

• Shanghai Jiao Tong University (SJTU), MSc in Information Engineering Expected in 2025.9
  • Research Directions: Computer Vision, Deep Learning, Interactive 3D Asset Generation
• École Polytechnique, Engineering Program (Dual MSc degree), France 2024 – Present
  • Major Courses: Mathematical Statistics, Statistical Modeling, Optimization, Machine Learning
• Shanghai Jiao Tong University, B.S. in Information Engineering & French 2021 - 2023
  • Mathematics & Physics Courses: Real Analysis, Advanced Algebra, Abstract Algebra, Topology, Electromagnetism, Optics
  • Computer Science Courses: C++ and Algorithm Design, Data Structure

Projects

• Domain-specific Code Generation with LLMs, Project Lead, École Polytechnique, Sep. 2024 - Present

  • Architected the Envision domain-specific code generation system from scratch.
  • Achieved 53/75 passing-rate on code generation tasks.
  • Engineered hybrid RAG pipeline : FAISS search + Multi-agent interaction.
  • Leading ongoing industrial data tuning (75 tasks).

• Research on AI Interpretability, Research Assistant, John-Hopcroft Center, SJTU, Jul. – Aug. 2024

  • Extracted Shapley values for knowledge distillation and evaluated its generalization ability, assessing knowledge transferability.
  • Trained classic models such as BERT, VGG, and ResNet, and conducted analysis on robustness.

Feel free to explore more of my work on GitHub.

Awards

• 2024 - Fulgence Bienvenüe Excellence Award, École Polytechnique
• 2023 - National Scholarship for Undergraduate Students
• 2022 - Dean’s Award, Shanghai Jiao Tong University
• 2022 - Meritorious Winner (Top 7%) of the Mathematical Contest in Modeling, USA
• 2020 - Provincial Second Prize, CSP-S (NOIP Advanced Group, Olympiad in Informatics)

Skills

• Major: Deep Learning and Computer Vision (3D Asset Generation)
• Tech Stack: Python (NumPy, Pytorch, Pandas), C++, Linux, Docker
• Other Frameworks: LangGraph, Streamlit, Node.js, Vue.js, etc.

Extracurricular Activities

• Member, Equestrian Team, École Polytechnique, 2024.06 – Present
• Member, Model United Nations Association, École Polytechnique, 2024.10 – 2025.02
• President, Student Union of SJTU-Paris Institute of Technology, 2022.09 – 2023.09
• Head, Student Innovation Studio, SJTU, 2022.09 – 2023.09

My mentor, friends and collaborators

• Weidi XIE, my mentor at the John-Hopcroft Center, SJTU. Associate Professor at SJTU and visiting researcher at VGG, Oxford.
• Yanxu MENG, my collaborator on 3D Scene Generation. My classmate in SPEIT-SJTU.
• Xiaowei YE, my classmate at École Polytechnique. Specializes in tropical geometry. Graduated from the Special Class for the Gifted Young (Mathematics Talent Program) at USTC.
• Yuran ZOU, my collaborator on DSL-Gen， along with Arthur BUIS and Thibaud MONTAGNE.
• Linh Vu TU, Secretary of PIAF, Institut Polytechnique de Paris. Collaborated on NSGA-II.