Guodong Guo

Timeline

1. 1991–2006

   Tsinghua and a Wisconsin PhD

   He earns a BE in automation from Tsinghua University in 1991, followed by an MS in 2003 and a PhD in 2006, both in computer science, at the University of Wisconsin–Madison. His doctoral dissertation, written under Charles Dyer, is titled Face, Expression, and Iris Recognition Using Learning-Based Approaches.

2. 2000–2003

   Support vector machine papers

   In 2000, he coauthors Face recognition by support vector machines with S. Z. Li and K. Chan. In 2003, he and Li publish Content-based audio classification and retrieval by support vector machines in IEEE Transactions on Neural Networks.

3. 2008–2010

   Facial age estimation and synthesis

   With Y. Fu, C. R. Dyer and T. S. Huang, he coauthors Image-based human age estimation by manifold learning and locally adjusted robust regression in IEEE Transactions on Image Processing in 2008. In 2010, he coauthors the survey Age synthesis and estimation via faces with Fu and Huang in IEEE Transactions on Pattern Analysis and Machine Intelligence.

4. 2014–2015

   Research awards and ICCV challenge

   In 2014, the Statler College at West Virginia University recognizes him in the Lane Department of Computer Science and Electrical Engineering for his research in its 2013–2014 awards. In 2015, his team places in the top three of the Looking at People ICCV Challenge.

5. 2017–2018

   Mobile Biometrics and a vision lab

   In 2017, he co-edits the book Mobile Biometrics with Harry Wechsler, published by the Institution of Engineering and Technology, while serving as an associate professor of computer science and electrical engineering at West Virginia University, founder and director of its Computer Vision Laboratory, and an affiliate of the Center for Identification Technology Research, a national biometrics research center funded by the National Science Foundation. By 2018, he has received the Outstanding Researcher Award at West Virginia University and the North Carolina State Award for Excellence in Innovation, and has visited or worked at INRIA in France, Microsoft Research Asia, Microsoft Research Redmond and Mitsubishi Electric Research Laboratories in Boston.

6. 2019

   A deep face recognition survey

   He coauthors A Survey on Deep Learning Based Face Recognition with N. Zhang, published in Computer Vision and Image Understanding in 2019.

7. 2019–2021

   Institute of Deep Learning at Baidu

   By 2019, he is at the Institute of Deep Learning at Baidu Research and the National Engineering Laboratory for Deep Learning Technology and Application, where he is a keynote speaker at the June 2019 ChaLearn Looking at People workshop at CVPR. The CASIA-SURF benchmark for multi-modal face anti-spoofing, which he coauthors, appears in 2020, and in 2021 he coauthors TransFER, a Vision Transformer model for facial expression recognition, with Fanglei Xue and Qiangchang Wang.

8. Since 2024

   Eastern Institute of Technology, Ningbo

   By April 2024, he is affiliated with the Eastern Institute of Technology, Ningbo, and Tencent Youtu Lab in Shanghai, and in 2025 he coauthors Fusion-Mamba for Cross-Modality Object Detection in IEEE Transactions on Multimedia. He is with the Ningbo Institute of Digital Twin at the Eastern Institute of Technology, Ningbo, where he is a corresponding author with Xiaohong Liu on the January 2026 version of REF-VLM, a unified visual decoding framework for multimodal large language models trained on the VT-Instruct dataset of over 100 million multimodal dialogue samples across 25 task types.