Master student: Qian Liu (graduated at 2023), Yang Li, Yan Zhao, Wenqian Jiang, Jiahao Zhu, Peilin Li, Jinke Xu
Ph.D student (joint supervised with other professor): Ling Zhou (graduated at 2022), Qing Zhu
Github:
Nokia Foundation (2012, 2013)
Infotech Oulu Doctoral Program (2014)
Senior Research Fellow Start-up package from Infotech Oulu (PI: Prof. Zhao, 2011-2015)
Senior Research Fellow Start-up package from Infotech Oulu (PI: Prof. Zhao, 2011-2015)
Computer Vision for Continuous Emotion State Analysis, funded by Academy of Finland (PI: Prof. Zhao, 2014 - 2018)
Tekes-funded project "Facial behavior analysis "in-the-wild" (WileFace)" (PI: Prof. Zhao, 2016 - 2019)
Funding for short-term international visiting from University of Oulu (2015)
Jorma Ollila Grant of Nokia Foundation (PI, two-years funding, 2017)
Central Fund of Finnish Cultural Foundation (PI, one-year funding, 2018, project title: automaattista mikroilmeiden analysointijärjestelmää käsittelevään väitöksen jälkeiseen tutkimukseen) (Accept rate: 12.35%)
Tekes-funded project "Quantifying human experience for increased intelligence within work teams and in the customer interface" (2018-2019)
Spontaneous facial action unit analysis and its application funded by NJIT (2020-2024, PI)
Deep learning research and its industry application funded by Department of Education of JiangSu (2020-2023, PI)
Target detection in single-channel SAR images (2020, Co-PI)
Three-dimensional quantitative analysis of light field data and its application in defect detection (2020-2022, Member)
Deep learning on object detection and its industry application funded by the company (2020, PI)
Research and Application of Intelligent Algorithm Based on Deep Network (2020, PI)
One project about micro-expression recognition funded by National Natural Science Foundation of China (2021-2024, PI)
Surface defect detection in industrial application (2022-2023, PI)
Meta-learning for defect detection (2022-2023, PI)