Yun He

Yun He

M.Sc. in CS

Fudan University

Biography

Hi, I am Yun He. I am now a full-time machine learning engineer at Meituan Inc. I recently completed my master's degree in computer science from Fudan University, co-advised by Prof. Yanwei Fu and Prof. Xiangyang Xue. During my master's studies, I also worked closely with Dr. Danhang Tang and Dr. Yinda Zhang at Google. Prior to this, I obtained my bachelor's degree in computer science from Chongqing University in 2020. My primary research interests lie in computer vision and machine learning, with a specific focus on 3D vision, including 3D geometry processing, 3D recognition, 3D generation, and neural fields. Additionally, I have a strong passion for recommendation system.

Interests
  • 3D Geometry Processing
  • 3D Recognition
  • 3D Generation
  • Neural Fields
  • Recommendation System
Education

  • M.Sc. in Computer Science, 2020-2023

    Fudan University

  • B.Eng. in Computer Science, 2016-2020

    Chongqing University

News

  • [2023-06] I am awared as the outstanding master's student of Shanghai (Top 3%)!
  • [2023-02] Grad-PU is accepted by CVPR 2023. Code is avaliable at Github.
  • [2022-02] D-PCC is accepted by CVPR 2022. Code is avaliable at Github.

Publications

Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions (CVPR 2023)
Yun He, Danhang Tang, Yinda Zhang, Xiangyang Xue, Yanwei Fu
Paper Project Page Code Video
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions (CVPR 2023)
Density-preserving Deep Point Cloud Compression (CVPR 2022)
Yun He*, Xinlin Ren*, Danhang Tang, Yinda Zhang, Xiangyang Xue, Yanwei Fu
Paper Project Page Code
Density-preserving Deep Point Cloud Compression (CVPR 2022)

Experience

 
 
 
 
 
MeiTuan
Machine Learning Engineer (Full-Time)
Meituan
July 2023 – Present Shanghai, China
Apply advanced meachine learning techniques to improve the advertisement recommendation system of Meituan app.
 
 
 
 
 
ByteDance
Machine Learning Engineer (Intern)
ByteDance
May 2022 – August 2022 Shanghai, China
Applied machine learning methods to improve the short-form video recommendation system of Douyin (Chinese TikTok) app.
 
 
 
 
 
Google
Research Assistant (Remote)
Google
Jan 2021 – Feb 2023 Shanghai, China
  • Introduced a novel deep point cloud compression method that preserved local density.
  • Proposed a new framework for accurate point cloud upsampling that supported arbitrary upsampling rates.

Honors and Awards

Outstanding Master's Student of Shanghai (Top 3%)
Shanghai Municipal Education Commission Jun 2023
Outstanding Master's Thesis of Fudan University (Top 10%)
Fudan University May 2023
Outstanding Teaching Assistant of Fudan University (Top 10%)
Fudan University Jan 2022

Teaching Assistant

Python Programming (COMP110042.13)
Fudan University Sep 2021 – Jan 2022
Data Structure (COMP130184.01)
Fudan University Sep 2020 – Jan 2021