Yan Gong
Scholar

Yan Gong

Google Scholar ID: YEI4sL4AAAAJ
JD.com, Inc.
Multimodel fusion、Computer Vision
Citations & Impact
All-time
Citations
282
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
9
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • The team achieved significant accolades, including the gold medal in the 2021 World Intelligent Driving Challenge Extreme, first prize in the 2019 i-VISTA Automatic Driving Challenge Competition, and top honors in the City Traffic Scene Challenge Competition. Additionally, multiple papers have been accepted by journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Geoscience and Remote Sensing, and Automotive Innovation.
Research Experience
  • Responsible for the algorithm research of the perception group and the integration and debugging of each module system of the unmanned vehicle in the Meng Shi Team (清华猛狮团队) during the joint training period.
Education
  • Obtained a master’s degree from the School of Computer Science and Engineering, Northeastern University, Shenyang, China in 2023, advised by Professor Lu Wang; also participated in the joint training program for graduate students at Tsinghua University, supervised by Professor Xinyu Zhang and Academician Jun Li of the Chinese Academy of Engineering.
Background
  • Currently working as an algorithm researcher in the Autonomous Driving Division of X Research Department at JD Logistics, focusing on the research and development of vision and point cloud perception algorithms. Research interests include autonomous driving perception algorithms, multimodal information fusion, and zero/few-shot learning.
Miscellany
  • Announced the release of a new GitHub repository focused on various attention mechanisms, designed to make it easier to experiment with and integrate different attention modules, offering a plug-and-play approach to boost performance across tasks.