Researcher

Guiguang Ding

Also known as DING Guiguang, Ding Guiguang, G Ding, G. Ding

Guiguang Ding is a researcher at Tsinghua University whose work ranges from efficient convolutional networks to real-time object detection. He earned a bachelor's degree in measurement and control engineering at Xidian University in 1999 and a Ph.D. there in 2004, then joined Tsinghua as a postdoctoral researcher. At Tsinghua's School of Software, he became an assistant professor in 2006 and associate professor and vice dean in 2009 before becoming a professor in 2020. His coauthored work includes RepVGG's multi-branch training design, RepLKNet's 31×31 kernels, and YOLOv10's end-to-end object detection. He received the National Science Fund of China for Distinguished Young Scholars in 2019 and a Continuing Grant of Young Scientists Fund-Type A in 2025.

Works
309
Citations
21,061
h-index
63
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1995–2004

    Degrees at Xidian

    He earns a bachelor's degree in measurement and control engineering at Xidian University in 1999, then a Ph.D. in electronic circuit and system there in 2004.

  2. 2004–2006

    Postdoctoral work at Tsinghua

    He works as a postdoctoral researcher in Tsinghua's Automation Department from 2004 to 2006.

  3. 2006–2020

    Assistant professor and vice dean

    He joins Tsinghua's School of Software as an assistant professor in 2006. In 2009, he becomes associate professor and vice dean, roles he holds through 2020.

  4. 2019

    National Science Fund award

    In 2019, he receives the National Science Fund of China for Distinguished Young Scholars.

  5. 2021–2022

    RepVGG and RepLKNet

    In 2021, he coauthors RepVGG, whose training-time model uses multiple branches and whose inference body is a VGG-like stack of 3x3 convolutions and ReLU. In 2022, he coauthors RepLKNet, a pure CNN with kernels as large as 31x31.

  6. 2024

    YOLOv10 for detection

    In 2024, he coauthors YOLOv10, an end-to-end real-time detector whose consistent dual assignments enable NMS-free training and low inference latency.

  7. 2025

    A 2025 research grant

    In 2025, he receives a Continuing Grant of Young Scientists Fund-Type A, formerly called the Continuing Grant of National Science Fund for Distinguished Young Scholars.

  8. Since 2020

    Professor at Tsinghua

    He is a professor in Tsinghua University's School of Software.

Career

  1. Since 2004Tsinghua UniversityPostdoctoral Researcher, Assistant Professor
  2. 2018–2026Beijing National Research Center for Information Science and Technology

Education

  1. 2004Xidian UniversityPhD
  2. 1999Xidian UniversityBachelor’s degree

Sources and credits

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  1. Guiguang DING-School of Software, Tsinghua University thss.tsinghua.edu.cn. Checked 21 October 2026.
  2. Multimedia Intelligence Group ise.thss.tsinghua.edu.cn. Checked 21 October 2026.
  3. RepVGG: Making VGG-Style ConvNets Great Again openaccess.thecvf.com. Checked 21 October 2026.
  4. Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs openaccess.thecvf.com. Checked 21 October 2026.
  5. YOLOv10: Real-Time End-to-End Object Detection proceedings.neurips.cc. Checked 21 October 2026.