World's Best Scientists 2026 revealed!
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Computer Science
Finland
2026

D-Index & Metrics

Computer Science

D-Index
83
Citations
29876
World Ranking
897
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Computer Science in Finland Leader Award
  • 2025 - Research.com Computer Science in Finland Leader Award
  • 2022 - Research.com Computer Science in Finland Leader Award
  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to video analysis and affective computing

Overview

Guoying Zhao is affiliated with the University of Oulu in Finland. Their research primarily concentrates in the field of Computer Science, with particular focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, and Biomedical Engineering.

The main topics Guoying Zhao works on cover several areas related to visual and physiological data analysis. These include:

  • Face recognition and analysis
  • Emotion and Mood Recognition
  • Human Pose and Action Recognition
  • Biometric Identification and Security
  • Non-Invasive Vital Sign Monitoring
  • Anomaly Detection Techniques and Applications
  • Heart Rate Variability and Autonomic Control

Zhao has published extensively in a variety of academic venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Affective Computing
  • SSRN Electronic Journal
  • IEEE Signal Processing Letters
  • Optik

Recent papers authored or co-authored by Guoying Zhao highlight their involvement in studies related to human action recognition, facial video analysis, and anti-spoofing methods, such as:

  • Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing (2020), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Revealing the Invisible With Model and Data Shrinking for Composite-Database Micro-Expression Recognition (2020), IEEE Transactions on Image Processing
  • Deep Learning for Face Anti-Spoofing: A Survey (2022), IEEE Transactions on Pattern Analysis and Machine Intelligence

The scientist collaborates frequently with a group of co-authors, including:

  • Zitong Yu
  • Xiaobai Li
  • Wei Peng
  • Haoyu Chen
  • Yante Li

Guoying Zhao was awarded the title of Fellow of the International Association for Pattern Recognition (IAPR) in 2020, recognized for contributions to video analysis and affective computing.

Best Publications

  • Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions

    Guoying Zhao;M. Pietikainen

  • WLD: A Robust Local Image Descriptor

    Jie Chen;Shiguang Shan;Chu He;Guoying Zhao

  • CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation

    Wen-Jing Yan;Xiaobai Li;Su-Jing Wang;Guoying Zhao

  • Computer Vision Using Local Binary Patterns

    Matti Pietikinen;Abdenour Hadid;Guoying Zhao;Timo Ahonen

  • Facial expression recognition from near-infrared videos

    Guoying Zhao;Xiaohua Huang;Matti Taini;Stan Z. Li

  • A Spontaneous Micro-expression Database: Inducement, collection and baseline

    Xiaobai Li;Tomas Pfister;Xiaohua Huang;Guoying Zhao

  • Remote Heart Rate Measurement from Face Videos under Realistic Situations

    Xiaobai Li;Jie Chen;Guoying Zhao;Matti Pietikäinen

  • Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods

    Xiaobai Li;Xiaopeng Hong;Antti Moilanen;Xiaohua Huang

  • Searching Central Difference Convolutional Networks for Face Anti-Spoofing

    Zitong Yu;Chenxu Zhao;Zezheng Wang;Yunxiao Qin

  • Local Binary Patterns for Still Images

    Matti Pietikäinen;Abdenour Hadid;Guoying Zhao;Timo Ahonen

  • A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition

    Yong-Jin Liu;Jin-Kai Zhang;Wen-Jing Yan;Su-Jing Wang

  • Recognising spontaneous facial micro-expressions

    Tomas Pfister;Xiaobai Li;Guoying Zhao;Matti Pietikainen

  • Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes

    Shengcai Liao;Guoying Zhao;Vili Kellokumpu;Matti Pietikainen

  • Rotation-Invariant Image and Video Description With Local Binary Pattern Features

    Guoying Zhao;T. Ahonen;J. Matas;M. Pietikainen

  • Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

    Dimitrios Kollias;Panagiotis Tzirakis;Mihalis A. Nicolaou;Athanasios Papaioannou

  • Lipreading With Local Spatiotemporal Descriptors

    Guoying Zhao;M. Barnard;M. Pietikainen

  • From BoW to CNN: Two Decades of Texture Representation for Texture Classification

    Li Liu;Li Liu;Jie Chen;Paul W. Fieguth;Guoying Zhao

  • Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching

    Wei Peng;Xiaopeng Hong;Haoyu Chen;Guoying Zhao

  • Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement

    Zitong Yu;Wei Peng;Xiaobai Li;Xiaopeng Hong

  • Spontaneous facial micro-expression analysis using Spatiotemporal Completed Local Quantized Patterns

    Xiaohua Huang;Guoying Zhao;Xiaopeng Hong;Wenming Zheng

  • Aff-Wild: Valence and Arousal ‘In-the-Wild’ Challenge

    Stefanos Zafeiriou;Dimitrios Kollias;Mihalis A. Nicolaou;Athanasios Papaioannou

Frequent Co-Authors

Matti Pietikäinen
Matti Pietikäinen University of Oulu
Wenming Zheng
Wenming Zheng Southeast University
Abdenour Hadid
Abdenour Hadid University of Oulu
Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Stefanos Zafeiriou
Stefanos Zafeiriou Imperial College London
Xiaolan Fu
Xiaolan Fu Chinese Academy of Sciences
Paul Fieguth
Paul Fieguth University of Waterloo
Stan Z. Li
Stan Z. Li Westlake University
Tomas Pfister
Tomas Pfister Google (United States)
Wei Ke
Wei Ke University of Chinese Academy of Sciences

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