HONORS & AWARDS
-- Member of Academia Europaea, 2023-.
-- Member of Finnish Academy of Sciences and Letters, 2022-.
-- IEEE Fellow (for contributions to facial expression analysis and feature representation), 2022-.
-- Award of Academy Professor from Academy of Finland, 2020
-- Fellow of Asia-Pacific Artificial Intelligence Association (AAIA), 2021-.
-- Fellow of IAPR (International Association for Pattern Recognition), 2020- (For contributions to video analysis and affective computing).
-- Fellow of ELLIS (European Laboratory for Learning and Intelligent Systems) society, 2023-.
-- Selected to world's top 2% scientists (most widely cited scientists in different disciplines) by Stanford University for four consecutive years (2019-2022).
-- Research.com Computer Science in Finland Leader Award, 2022
-- Dr. Wei Peng's dissertation titled ''Automatic neural network learning for human behavior understanding'' awarded Finnish AI Dissertation Award 2022.
-- 2022 International Society for Magnetic Resonance in Medicine (ISMRM, best conference for MRI) Magna Cum Laude Merit Award (top 5%), for the work ''Wei Peng, Li Feng, Guoying Zhao, and Fang Liu. Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks''.
-- The second prize of IEEE Finland Jt. Chapter SP/CAS Best Paper Award 2022 for ''Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, Guoying Zhao. Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition. IEEE Transactions on Image Processing (TIP), 2021.''
-- IEEE Finland Section best student conference paper award 2020.
-- First place on Chalearn multi-modal face anti-spoofing attack detection challenge @ CVPR 2020.
-- Second place on Chalearn single-modal face anti-spoofing attack detection challenge @ CVPR 2020.
-- 2nd Place on Action Recognition Track of ECCV 2020 VIPriors Challenges.
-- The top 10 Chinese scientific and technological leaders in Europe (2018) by Federation of Chinese Professional Associations in Europe.
-- Selected to reserve list in ERC 2014 starting grant and ERC 2016 consolidator grant.
-- Finland's most publishing researcher on AI in 2015-16 (Digibarometri 2017 report).
-- Nokia Foundation Visiting Professor Award, 2016
-- NVIDIA hardware grant, 2015
-- Most remembered poster of the day with ICCV 2011 for the work ''Recognising Spontaneous Facial Micro-expressions''.
-- Award of Academy research fellowship from Academy of Finland, 2011
-- Award of postdoc project from Academy of Finland, 2008
-- Honor of excellent doctoral dissertation ''Video-based Gait Recognition'' of Institute of Computing Technology, Chinese Academy of Sciences, 2005
-- Honor of excellent master thesis ''The Generation Technology and Application of Stereoscopic Dynamic Images'' of North China University of Technology, 2002.
-- Award of most outstanding organizer of graduate union activity of North China University of Technology, 2002.
TEACHING
-- Lecturer for 521140S Computer Graphics (previously 521493S Computer Graphics), University of Oulu, since 2010
-- Lecturer for 521285S Affective Computing, University of Oulu, since 2014
-- FG 2018 tutorial: Guoying Zhao and Matti Pietikäinen: READING HIDDEN EMOTIONS FROM MICRO-EXPRESSION ANALYSIS. Xi'an, China.
-- SCIA 2013 tutorial: Matti Pietikainen and Guoying Zhao: Image and video analysis with local binary pattern variants, June 17, Helsinki, Finland.
-- ICCV 2009 tutorial: Matti Pietikainen and Guoying Zhao, Local texture descriptors in computer vision, 27th, Sep. 2009, Kyoto, Japan.
-- ICPR 2006 Tutorials: Matti Pietikainen, Guoying Zhao & Abdenour Hadid (University of Oulu, Finland), Local Binary Pattern Approach to Computer Vision. Aug. 20-24, 2006, Hongkong
-- Completed 15-credit University Pedagogy studies in 2019.
Supervision/Co-Supervision
Postdoctoral researchers:
-- Dr. Jukka Komulainen: 2022-present
-- Dr. Yang Liu: 2022-present
-- Dr. Qianru Xu: 2021-present
-- Dr. Hanlin Mo: 2021-present
-- Dr. Kevin Cheng: 2021-present
-- Dr. Xin Liu: 2019-2020
-- Dr. Nhat Vo: 2018-2020
-- Dr. Xiaobai Li: 2017-2020
-- Dr. Jingang Shi: 2017-2020
-- Dr. Mohammad Sabokrou: 2018, 2021
-- Dr. Xiaohua Huang: 2015-2019
-- Dr. Xiaopeng Hong: 2011-2019
-- Dr. Vili Kellokumpu: 2013-2017
-- Dr. Mohammad Ghahramani: 2012-2013
Ph. D. dissertations:
-- Ms. Hui Zhang, Ph.D. student: 2022-present (Main Supervisor)
-- Mr. Marko Savic, Ph.D. student: 2021-present (Main Supervisor)
-- Mr. Atif Shah, Ph.D. student: 2020-present (Main Supervisor)
-- Mr. Tuomas Varanka, Ph.D. student: 2021-present (Co-Supervisor)
-- Mr. Abdelrahman Mostafa, Ph.D. student: 2020-present (Main Supervisor)
-- Mr. Zitong Yu, Ph.D. student: 2018-present: Physiological signal analysis and applications (Main Supervisor)
-- Mr. Muzammil Behzad, Ph.D. student: 2018-present: 4D micro-expression analysis (Main Supervisor)
-- Mr. Wei Peng: Ph.D. student: 2018-present: Multi-modal learning (Main Supervisor)
-- Mr. Henglin Shi: Ph.D. student: 2017-present: Learning based gesture and micro-gesture analysis (Main Supervisor)
-- Mr. Haoyu Chen: Ph.D. student: 2017-present: Non-communicative behavior analysis with computer vision methods for hidden emotion understanding (Main Supervisor)
-- Ms. Yante Li, Ph.D. student: 2017-present: Quantifying Human Experience for Increased Intelligence Within Work Teams and in the Customer Interface (Main Supervisor)
-- Mr. Khanh Tran-Thuong: Ph. D. student: 2016-present: Micro-expression analysis (Main Supervisor)
-- Ms. Yingyue Xu: Computational Modeling for Visual Attention Analysis, 2015-2020 (Main Supervisor)
-- Mr. Xin Liu: Human motion detection and gesture recognition using computer vision methods, 2014-2019 (Main Supervisor);
-- Ms. Xiaobai Li: Reading Subtle Information From Human Faces, 2010-2017(Co-supervisor)
-- Mr. Xiaohua Huang: Methods for facial expression recognition with applications in challenging situations, 2009-2014 (Co-supervisor)
-- Ms. Yimo Guo: Image and video analysis by local descriptors and deformable image registration, 2008-2013 (Co-supervisor)
-- Mr. Vili Kellokumpu: Vision-based human motion description and recognition, 2006-2011 (Advisor)
Master theses:
Mr. Yar Moe MYINT (2020-);
Ms. Mei Ren (2019-);
Mr. Qiang Gao (2019-);
Mr. Shengkang Wang (2019-);
Mr. Chensong Huo (2018-);
Ms. Tingting Wu (2018-);
Ms. Kaikai Wang (2018-);
Mr. Jianbo Li (2018-);
Mr. Tuomas Varanka (2019-2020);
Mr. Hao Ban (2019-2020);
Mr. Guifeng Li (2018-2019);
Mr. Hamza Zair (for Elektrobit Automotive, 2019);
Mr. Radouane Kaddari (for Valossa Labs Oy, 2019);
Mr. Bofan Lin (2018-2019);
Mr. Haoyu Chen (2016-2017);
Ms. Niloufar Zebarjadi (2015-2016);
Mr. Jiawei Zhang (2015-2018);
Ms. Yingyue Xu (2014-2015);
Mr. Qiuhai He (Visiting 2013. 09-2015.06);
Mr. Yan Zhai (Visitng 2012. 09-2013.08).