Jingang Shi | Xi'an Jiaotong University
Office: | Email: jingang.shi at hotmail.com/ jingang at xjtu.edu.cn

I am now a Associate Professor at the School of Software, Xi'an Jiaotong University. Before that, I conducted Postdoc research in CMVS, University of Oulu, where I was advised by Academy Professor Guoying Zhao. During my Postdoc research, I visited Multimedia and Human Understanding Group (MHUG),University of Trento, Italy . Prior to that, I received the B.E. degree and Ph.D. degree from from Xi'an Jiaotong University , China.

入选西安交通大学青年拔尖人才计划,小米青年学者.

My research interests include Machine Learning, Human Behaviour Analysis, Emotion AI and Adversarial Learning.

I strongly believe we are here, on this planet, time, and realm to experience, learn and grow, which gives me a huge passion about developing myself in a lifetime.

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.

Attention: We are long-term recruiting self-motivated students to join my research team, focusing on Hybrid Intelligence. Please email me with your CV.

  • 📢 Open call NOW!
    招收2026年入学博士、硕士研究生(可招收计算机科学与技术【081200】专业的硕士、博士研究生以及软件工程【085212】专业的硕士研究生)。欢迎对计算机视觉、机器学习等研究领域感兴趣的优秀学生推免或报考! 欢迎对计算机视觉领域感兴趣的本科生联系课题组进行实习和研究. Please send me an email for more information.

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News


All published paper list:

Selected Publications:

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SaTPhys: Sandglass Transformer for Efficient Video-based Remote Physiological Measurement
Shuyang Chu, Jingang Shi, Mengyao Yuan, Xuqi Li, Zhengdong Jiang, Guoying Zhao IEEE Transactions on Circuits and Systems on Video Technology, 2026.
Code

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Reinforcing Transferability and Discriminability for Continual Test-Time Adaptation
Siwei Wu, Jingang Shi, De Cheng, Yihong Gong IEEE Transactions on Multimedia, 2026.

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Dynamic Recurrent Self-refinement Network for Hyperspectral Remote Sensing Image Super-Resolution
Haifeng Li, Jingang Shi, Shuyang Chu, Yuan Zong, Xu Cheng, Jian Xu, Yihong Gong IEEE Transactions on Geoscience and Remote Sensing, 2026.
Code

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ResoPhys: Unsupervised Plug-and-Play Remote Physiological Measurement via Facial Videos of Arbitrary Resolution
Zhongtian He, Shuyang Chu, Xuqi Li, Zhengdong Jiang, Jian Xu, Guoying Zhao, Jingang Shi IEEE Journal of Biomedical and Health Informatics (JBHI), 2026.
Code

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HemNet: Hemoglobin-Assistant Network for Video-based Remote Photoplethysmography Measurement
Ruize Wu, Wei Zhuo, Jingang Shi, Xin Liu, Linlin Shen, Yihong Gong, Guoying Zhao IEEE Transactions on Circuits and Systems for Video Technology, 2026.
Code

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To remember, to adapt, to preempt: A stable continual test-time adaptation framework for remote physiological measurement in dynamic domain shifts
Shuyang Chu, Jingang Shi, Xu Cheng, Haoyu Chen, Xin Liu, Jian Xu, Guoying Zhao ACM Multimedia, 2025.
Code

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CodePhys: Robust video-based remote physiological measurement through latent codebook querying
Shuyang Chu, Menghan Xia, Mengyao Yuan, Xin Liu, Tapio Seppänen, Guoying Zhao, Jingang Shi IEEE Journal of Biomedical and Health Informatics, 2025.
Code

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You can wash hands better: Accurate daily handwashing assessment with a smartwatch
Fei Wang, Tingting Zhang, Xilei Wu, Pengcheng Wang, Xin Wang, Han Ding, Jingang Shi, Jinsong Han, Dong Huang IEEE Transactions on Mobile Computing, 2025.

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MaskFusionNet: A dual-stream fusion model with masked pre-training mechanism for rPPG measurement
Yizhu Zhang, Jingang Shi, Jiayin Wang, Yuan Zong, Wenming Zheng, Guoying Zhao IEEE Transactions on Circuits and Systems for Video Technology, 2024.

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Exploiting multi-scale parallel self-attention and local variation via dual-branch transformer-CNN structure for face super-resolution
Jingang Shi, Yusi Wang, Zitong Yu, Guanxin Li, Xiaobai Hong, Fang Wang, Yihong Gong IEEE Transactions on Multimedia, 2024. (ESI高被引论文TOP 1%)
Code

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PhysFormer++: Facial video-based physiological measurement with slowfast temporal difference transformer
Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Yawen Cui, Jiehua Zhang, Philip H. S. Torr, Guoying Zhao IJCV, 2023. [Code]

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Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution
Guanxin Li, Jingang Shi, Yuan Zong, Fei Wang, Tian Wang, Yihong Gong IJCAI, 2023.

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Learning motion-robust remote photoplethysmography through arbitrary resolution videos
Jianwei Li, Zitong Yu, Jingang Shi AAAI, 2023. [Code]

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PhysFormer: Facial video-based physiological measurement with temporal difference transformer
Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Philip H. S. Torr, Guoying Zhao CVPR, 2022. [Code]

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IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution
Jingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Changxin Wang, Yihong Gong IJCAI, 2022. [Code]

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Atrial fibrillation detection from face videos by fusing subtle variations
Jingang Shi, Iman Alikhani, Xiaobai Li, Zitong Yu, Tapio Seppänen, Guoying Zhao IEEE Transactions on Circuits and Systems for Video Technology, 2020.

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Face hallucination via coarse-to-fine recursive kernel regression structure
Jingang Shi, Guoying Zhao IEEE Transactions on Multimedia, 2019.

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Hallucinating face image by regularization models in high-resolution feature space
Jingang Shi, Xin Liu, Yuan Zong, Chun Qi, Guoying Zhao IEEE Transactions on Image Processing, 2018.


Academic Activities

  • Associate Editor/编委:IEEE Trans. on Multimedia, Pattern Recognition, Expert Systems.
  • Organizing Workshops: ICME 2021, ACM Multimedia 2025.
  • Area Chair: ICME 2021, ICPR 2026,
  • Publications: 60+ peer-reviewed papers in PR, IEEE TMM, IEEE TIP, IJCV, IEEE TNNLS, IEEE TCYB, IEEE TCSVT, CVPR, ECCV, AAAI, IJCAI, ACM Multimedia, etc.
  • Workshop Chairs: International Conference on Image Processing and Media Computing, 2025.
  • PC Members for conferences, including CVPR2025, NeurIPS2025, AAAI2024, AAAI2024, WACV2024, CVPR2023, AAAI2023, ICASSP2023, ECCV2022, ICME2022, etc.
  • Invited as Reviewer for journals, including IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Pattern Recognition (PR), Machine Vision and Applications, Multimedia Systems, British Journal of Educational Technology, Advanced Engineering Informatics, etc.

Project

  • Non-contact remote heart rate measurement under complex wild environment, National Natural Science Foundation of China(国家自然科学基金面上项目). 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)(国家自然科学基金国际交流与合作项目), 2023-2025.
  • Low-quality face image restoration in uncontrolled realistic environment, National Natural Science Foundation of China(国家自然科学基金青年项目),2021-2023.

Teaching Experiences

  • Lecturer, Data Analysis and Deep Learning course, Xi’an Jiaotong Univerisy, 2021-2025
  • Lecturer, Embedded System course, Xi’an Jiaotong Univerisy, 2025
  • Lecturer, Big Data course, Xi’an Jiaotong Univerisy, 2021
  • Assistant lecturer for Computer Graphics course, University of Oulu, 2019.
  • 获得2023年度教育部-华为智能基座课程全国优秀教师
  • 获得2022年华为智能基座“先锋教师”