Summary
Xi Shen is a computer vision researcher with 11 years of experience, currently working at Tencent after completing a PhD focused on weakly supervised and unsupervised learning at Ecole des Ponts ParisTech. His background blends rigorous applied mathematics and machine learning (MVA) with hands-on industry projects in image denoising, handwritten document recognition and image matching. He has a track record of turning academic research into practical systems, including a published method for synthesizing handwritten Chinese images and industry work on denoising and large-scale visual matching. Based in Greater Paris, he pairs deep theoretical training with practical engineering across research and product settings, often bridging cross-lingual or domain-specific data gaps through clever data augmentation and weak supervision.
11 years of coding experience
1 year of employment as a software developer
Bachelor Degree, Physics, 87/100, Bachelor Degree, Physics, 87/100 at Wuhan University
Bachelor Degree, Mechanical Engineering, 18/20 (Ranked 1st/27), Bachelor Degree, Mechanical Engineering, 18/20 (Ranked 1st/27) at Université Claude Bernard Lyon 1
Master 2, Mathématiques, Vision, Apprentissage(MVA), Master 2, Mathématiques, Vision, Apprentissage(MVA) at École Normale Supérieure de Cachan
Engineering degree, Applied Mathematics, Engineering degree, Applied Mathematics at Ecole nationale des Ponts et Chaussées
English, French, Chinese, Spanish