I’m currently serving as an associate professor at the School of Software, Xi’an Jiaotong University.

Address: No.28, Xianning West Road, Xi’an Jiaotong University, China

Education

2009 –2015 Ph.D degree in Signal and Information Processing, Xi’an Jiaotong University, China. Ph.D. Thesis Title： Research on Low-resolution Face Image Super-resolution and Recognition Algorithms

2008 –2009 Master program of the master-doctoral program in Signal and Information Processing, Xi’an Jiaotong University, China.

2003 –2007 Bachelor’s degree in Electronic Engineering at the Special Class for the Gifted Young, Xi’an Jiaotong University, China.

Working Experience

2020-present Associate Professor, Xi’an Jiaotong University, China

2017-2020 Postdoctoral Researcher, Center for Machine Vision and Signal Analysis, University of Oulu Supervisor Prof. Guoying Zhao

2019 Visiting Researcher in Multimedia and Human Understanding Group, University of Trento, Italy Advised by Prof. Nicu Sebe

2015-2017 Researcher, Innovative Technology Center Topic: Face analysis and emotional perception in real-world stereo videos

Research interest

My research focuses on advancing multimedia computing through the integration of deep learning, computer vision, and human-centered AI, which mainly contains high-fidelity multimedia restoration, multimodal affective computing, and remote physiological signal monitoring. The work on high-fidelity multimedia restoration addresses real-world degradation models to restore high-fidelity visual content, with applications in digital multimedia preservation, medical imaging, and intelligent surveillance. The research of affective computing develops multimodal emotion recognition frameworks that leverage visual, audio, and physiological signals to enable adaptive human-computer interaction. In addition, the research on remote physiological signal monitoring explores non-contact measurement of vital signs from facial videos under challenging environmental conditions, aiming to enhance healthcare accessibility in daily wellness scenarios. Together, these areas represent a unified effort to design intelligent multimedia systems capable of understanding, restoring, and interpreting complex real-world human-centered data.

Academic service

• Publications: 60+ peer-reviewed papers in IEEE TMM, IEEE TIP, IJCV, IEEE TNNLS, IEEE TCYB, IEEE TCSVT, CVPR, ECCV, AAAI, IJCAI, ACM Multimedia, etc.

• Editorial Board Member: Symmetry

• Reviewer: Regular reviewer for more than twenty journals, e.g., IEEE TMM, TPAMI, TIP, TCYB, TNNLS, TCSVT.

• Conference Area Chair: ICME 2021.

• Program Committee Member: More than 40 times on top-tier conferences, e.g., CVPR, ICCV, ECCV, ICML, AAAI, ACM MM, etc.

• Workshop Organizer: ICME, ACM Multimedia.

• Workshop Chairs: International Conference on Image Processing and Media Computing, 2025.

Publications

Teaching

• Lecturer for Data Analysis and Deep Learning course, Xi’an Jiaotong Univerisy, 2021-2025.

• Lecturer for Embedded System course, Xi’an Jiaotong Univerisy, 2025.

• Lecturer for Big Data course, Xi’an Jiaotong Univerisy, 2021.

• Assistant lecturer for Computer Graphics course, University of Oulu, 2019.

• I have supervised or am currently supervising more than 40 graduate students. I have examined more than 20 master theses, and acted as pre-examiner and opponent of five doctoral dissertations for PhD students.

Projects

Principal investigator (PI):

Non-contact remote heart rate measurement under complex wild environment, National Natural Science Foundation of China, 2026-2029

Robust remote heart healthcare monitoring in uncontrolled daily-life environment, Funds for International Cooperation and Exchange of the National Natural Science Foundation of China (China-Finland), 2023-2025

Low-quality face image restoration in uncontrolled realistic environment, National Natural Science Foundation of China, 2021-2023

Cross-domain face analysis, Young Scholar fellowship, Xi’an Jiaotong University, 2020-2026

Low-resolution face analysis in the wild, Tekniikan edistämissäätiö, 2017-2018

Participation in Projects: Context-aware autonomous neural network learning, ICT 2023: Autonomous Everything, 2020-2022

Quantifying human experience for increased intelligence within work teams and in the customer interface, Business Finland, 2018-2019

Research on cardiac beat to beat variability analysis from remote videos for health service, Key project, Academy of Finland, 2016-2018

Contact

jingang.shi /at/ hotmail.com, jingang /at/ xjtu.edu.cn