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Name:   Guiguang DING  
Title:      Professor  
     Email:   dinggg@tsinghua.edu.cn        

     ResearchComputer vision, multimedia data process-           Fields: ing and AI foundation models, including                         model architecture design, model compre-                     ssion and acceleration, large model infere-                     ence engine.  

Education background

1999 - 2004  Xidian University, P. R. China, Degree: PH. D., Major: Electronic Circuit and System.

1995 - 1999  Xidian University, P. R. China, Degree: Bachelor of Engineering, Major: Measurement and Control Engineering


Work Experience

2020 - present   School of Software, Tsinghua University, P. R. China, Job title: Professor

2009 -2020   School of Software, Tsinghua University, P. R. China, Job title: Associate Professor, Vice Dean

2006 - 2009   School of Software, Tsinghua University, P. R. China, Job title: Assistant Professor

2004 - 2006   Automation Department, Tsinghua University, P. R. China, Job title: Postdoc


Awards and Honors

Continuing Grant of Young Scientists Fund-Type A (the former Continuing Grant of National Science Fund for Distinguished Young Scholars) 2025

The 1st--Class Award for Science and Technology Progress Award of the Chinese Institute of Electronics, 2024

The 1st-Class Award for Science and Technology Progress from Chinese Association for Artificial Intelligence, 2020

The National Science Fund of China for Distinguished Young Scholars, 2019

The 1st-Class Award for Technical Invention from Chinese Institute of Electronics, 2017



Academic Achievements

Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, GuiguangDing, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:Affective Image Content Analysis: Two Decades Review and New Perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6729-6751 (2022)

Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, GuiguangDing:ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising. AAAI 2022: 2786-2794

XiaohanDing, Xiangyu Zhang, Jungong Han, GuiguangDing: Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs. CVPR 2022: 11953-11965

XiaohanDing, Honghao Chen, Xiangyu Zhang, Jungong Han, GuiguangDing:RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. CVPR 2022: 568-577

Kai Chen, Weihua Chen, Tao He, Rong Du, Fan Wang, Xiuyu Sun, Yuchen Guo, GuiguangDing: TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification. ACM Multimedia 2022: 560-571

 GuiguangDing, Shuo Zhang, Zizhou Jia, Jing Zhong, Jungong Han: Where to Prune: Using LSTM to Guide Data-Dependent Soft Pruning. IEEE Trans. Image Process. 30: 293-304 (2021)

 Yunqi Miao, Zijia Lin, Xiao Ma, Guiguang Ding, Jungong Han: Learning Transformation-Invariant Local Descriptors With Low-Coupling Binary Codes. IEEE Trans. Image Process. 30: 7554-7566 (2021)

 Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding: Diverse Branch Block: Building a Convolution as an Inception-Like Unit. CVPR 2021: 10886-10895

Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun: RepVGG: Making VGG-Style ConvNets Great Again. CVPR 2021: 13733-13742

Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding: ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. ICCV 2021: 4490-4500