About Me
Here is Shifeng XIE.
I am a Engineer(Master) student at Telecom Paris, Polytechnic Institute of Paris. I have a keen interest in large language models (LLM), computer vision (CV), and graph neural networks (GNN). I am familiar in fundamental network models such as Transformers, Channel-Wise Attention, and UNet. Additionally, I am well-versed in various training paradigms, including contrastive learning， masked learning , joint learning …..
I am planning to apply for PhD positions in 2026, and I am open to opportunities worldwide!
If you are interested in any aspect of me, I am always open to discussions and collaborations. Feel free to reach out to me at - shifeng.xie@telecom-paris.fr
Research Experiences
Mixture of Experts and In Context Learning
Stellantis, France
September 2024 – January 2025
- I worked with Rui yuan, Simone Rossi and Thomas Hannagan
Graph Neural Network and Graph Representation
Telecom Paris (Polytechnic Institute of Paris), France
December 2023 – September 2024
- Advisor: Jhony H. Giraldo (Assistant Professor at Télécom Paris).
Image Processing and High Dynamic Image Reconstruction
Xidian University, China
February 2023 – September 2023
- Advisor: Liu Yi.
Data Twin and Intelligent Healthcare
Xidian University, China
April 2021 – September 2021
Education
Master in Engineering (Signal Processing for Artificial Intelligence)
Telecom Paris, Polytechnic Institute of Paris, France
August 2023 – Present
- Current Grade: 15.3/20
Summer Exchange Program (Machine Learning)
McGill University, Canada
July 2021 – August 2021
- Achieved Grade: A
Bachelor of Engineering (Electronic Information Engineering)
Xidian University, China
August 2019 – May 2023
- GPA: 3.8/4.0
- Rank: 4th/97