个人主页详见   https://jingang-cv.github.io/

工作经历：

2020至今 :                           西安交通大学软件学院副教授、博士生导师

2017-2020                     Center for Machine Vision and Signal Analysis, University of Oulu， Finland                           

                                                        博士后研究员 Advised by Prof. Guoying Zhao(IEEE/IAPR Fellow) 

From Sep. 2019 to Dec. 2019   Multimedia and Human Understanding Group          University of Trento, Italy                                      Advised by Prof. Nicu Sebe(IAPR Fellow) 

2015-2017                     中国电子科技集团公司电子科学研究院 国家工程实验室

教育经历：

2009-2015       西安交通大学信息与通信工程专业，获博士学位

2008-2009       西安交通大学信息与通信工程专业硕博连读

2003-2007       西安交通大学少年班，信息工程专业学习获学士学位

• 西安交通大学电信学部软件学院特聘研究员，博士生导师，入选西安交通大学青年拔尖人才计划。共发表计算机视觉领域学术论文60余篇，其中中国计算机学会(CCF)推荐A类论文和JCR一区论文20余篇。主持国家自然科学基金面上项目1项，国家自然科学基金青年项目1项，国家自然科学基金国际(地区)交流与合作项目1项，芬兰技术促进协会项目1项，高校基本科研业务经费1项，华为公司、中国兵器集团等企业委托项目10余项，共同主持芬兰科学院ICT2023项目1项。担任国际期刊IEEE Transactions on Multimedia, Pattern Recognition, Expert Systems的Associate Editor。担任ICME, ICPR, AAAI等会议的Area Chair和Senior PC Member。积极参与信息技术领域国产化产教融合人才培养，获2023年度教育部-华为智能基座优秀教师。2025年获小米青年学者奖励。
  

• 目前研究工作集中在计算机视觉,机器学习，深度学习领域，主要研究方向包括：图象重建, 多模态情感计算， 情绪检测与表情分析，行为识别，人脸活体检测，基于人脸视频的远程微弱生理信号检测及健康分析，多模态学习等内容。迄今在IEEE TIP，IEEE TMM，IEEE TCSVT，Pattern Recognition等国际著名期刊和会议上发表文章60余篇，曾受邀担任ICME 2021等多个国际会议的Area Chair或Technical Committee Member并担任TPAMI,IJCV等多个国际著名期刊审稿人。现主持国家自然科学基金项目“真实非受控场景下的人脸图像超分辨率重建技术研究”，曾作为项目负责人主持芬兰技术促进协会课题“Low-resolution face analysis in the wild”。作为项目共同主持人参与芬兰科学院ICT 2023项目“Context-aware autonomous neural network learning”，作为算法负责人参与芬兰科学院重点项目“Cardiac beat to beat variability analysis from remote videos for health service”，作为项目经理参与Business Finland项目“Quantifying Human Experience for Increased Intelligence Within Work Teams and in the Customer Interface”。

• 部分代表性论文： 谷歌学术：https://scholar.google.com/citations?hl=en&user=N2ftCz4AAAAJ&view_op=list_works&sortby=pubdate

• Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Yawen Cui, Jiehua Zhang, Philip H. S. Torr, Guoying Zhao: PhysFormer++: Facial Video-based Physiological Measurement with SlowFast Temporal Difference Transformer. International Journal on Computer Vision, 2023

• Jianwei Li, Zitong Yu, Jingang Shi: Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos. AAAI 2023

• 31  Jingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Yihong Gong, IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution, IJCAI 2022

• 30. Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Philip Torr, Guoying Zhao, PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer, CVPR 2022

  29. Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong, Model Behavior Preserving for Class-Incremental Learning, IEEE Transactions on Neural Networks and Learning Systems, 2022

  28. Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong, Structural Knowledge Organization and Transfer for Class-Incremental Learning, ACM Multimedia Asia, 1-7

  27. W Peng, J Shi, T Varanka, G Zhao Rethinking the ST-GCNs for 3D skeleton-based human action recognition, Neurocomputing 454, 45-53，2021

  26. Z Yu, X Li, J Shi, Z Xia, G Zhao, Revisiting pixel-wise supervision for face anti-spoofing, IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021

  25. W Peng, J Shi, G Zhao,Spatial temporal graph deconvolutional network for skeleton-based human action recognition IEEE Signal Processing Letters 28, 244-248

  24W. Peng, J. Shi, Z. Xia and G. Zhao. " Mix dimension in poincaré geometry for 3d skeleton-based action recognition", Proc. the 28th ACM International Conference on Multimedia, 2020, pp. 1432-1440.

  23  Z. Yu, X. Li, X. Niu, J. Shi and G. Zhao. " Face anti-spoofing with human material perception",Proc.European Conference on Computer Vision, 2020, pp. 557-575.

  22 J. Shi, I. Alikhani, X. Li, Z. Yu, T. Seppanen and G. Zhao. "Atrial Fibrillation Detection from Face Video by Fusing Subtle Variations", IEEE Transactions on Circuits and Systems for Video Technology, vol.30, no.8, pp. 2781 - 2795, 2020. (Impact Factor: 4.046)

  21  W. Peng, J. Shi, and G. Zhao. "Spatial Temporal Graph Deconvolutional Network for Skeleton-based Human Action Recognition" IEEE Signal Processing Letters, vol. 28, pp. 244-248, 2021.（Impact Factor: 3.105）

  20 H. Chen, X. Liu, J. Shi and G. Zhao. “Temporal Hierarchical Dictionary Guided Decoding for Online Gesture Segmentation and Recognition”, IEEE Transactions on Image Processing, vol.29, pp. 9689 - 9702, 2020. （Impact Factor: 6.79）

  19  Z. Yu, X. Li, X. Niu, J. Shi and G. Zhao. “AutoHR: A strong end-to-end baseline for remote heart rate measurement with neural searching”, IEEE Signal Processing Letters, vol. 27, pp. 1245-1249, 2020.（Impact Factor: 3.105）

  18 J. Shi and G. Zhao. "Face Hallucination via Coarse-to-fine Recursive Kernel Regression Structure", IEEE Transactions on Multimedia,  vol.21, no.9, pp.2223-2236, 2019. (Impact Factor: 5.452)

  17  J. Shi, X. Liu, Y. Zong, C. Qi and G. Zhao, "Hallucinating Face Image by Regularization Models in High-Resolution Feature Space", IEEE Transactions on Image Processing, vol.27, no.6, pp. 2980-2995, 2018. （Impact Factor: 6.79）

  16 Y. Zong, W. Zheng, X. Huang, J. Shi,Z. Cui, G. Zhao. Domain regeneration for cross-database micro-expression recognition. IEEE Transactions on Image Processing, vol.27, no.5, pp. 2484-2498, 2018.（Impact Factor: 6.79）

  15 J. Shi, X. Liu, C. Qi. "Global consistency, local sparsity and pixel correlation: A unified framework for face hallucination", Pattern Recognition, vol. 47, no. 11, pp. 3520–3534, 2014. （Impact Factor: 5.898）

  14J. Shi, C. Qi. "From Local Geometry to Global Structure: Learning Latent Subspace for Low-resolution Face Image Recognition", IEEE signal processing letters, vol. 22, no. 5, pp. 554–558, 2015.

       （Impact Factor: 3.105）

  13J. Shi, C. Qi. "Kernel-Based Face Hallucination via Dual Regularization Priors” IEEE signal processing letters, vol. 22, no. 8, pp. 1189–1193, 2015. （Impact Factor: 3.105）

  12M. Tang, Y. Zong, W. Zheng, J. Dai, J. Shi, P. Song "Micro-Expression Recognition by Leveraging Color Space Information” IEICE Transactions on Information and Systems, vol. 102, no. 6, pp. 1222–1226, 2019.

  11L. Li, X. Zhou, Y. Zong, W. Zheng, X. Chen, J. Shi, P. Song "Unsupervised Cross-Database Micro-Expression Recognition Using Target-Adapted Least-Squares Regression” IEICE Transactions on Information and Systems, vol. 102, no. 7, pp. 1417–1421, 2019.

  10 J. Shi, C. Qi. "An Image Inpainting Algorithm Based on Sparse Modeling with Double Constraints"Journal of Xi’an Jiaotong University, vol. 46, no. 2, pp. 6–10, 2012.

  9W. Peng, J. Shi, Z. Xia and G. Zhao. " Mix dimension in poincaré geometry for 3d skeleton-based action recognition", Proc. the 28th ACM International Conference on Multimedia, 2020, pp. 1432-1440.

  8  Z. Yu, X. Li, X. Niu, J. Shi and G. Zhao. " Face anti-spoofing with human material perception",Proc.European Conference on Computer Vision, 2020, pp. 557-575.

  7J. Shi, C. Qi. "Face hallucination based on PCA dictionary pairs",Proc. the 20th IEEE International Conference on Image Processing, Melbourne, Australia, 2013, pp.933-937.

  6 J. Shi, C. Qi. "Sparse modeling based image inpainting with local similarity constraint", Proc. the 20th IEEE International Conference on Image Processing, Melbourne, Australia, 2013, pp.1371-1375.

  5 J. Shi, C. Qi, “A nonlocal exemplar-based inpainting algorithm,” Proc. the 20th National Conference on Multimedia Technology, Beijing, China, 2011. (In Chinese)

  4 G. Li , J. Shi, J. Peng, G. Zhao, “Micro-expression Recognition Under Low-resolution Cases”, Proc. the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019.

  3 X. Li, I. Alikhani, J. Shi, T. Seppänen, J. Junttila, K. Majamaa-Voltti, M. Tulppo and G. Zhao, “The OBF Database: A Large Face Video Database for Remote Physiological Signal Measurement and Atrial Fibrillation Detection” Proc. the 13th IEEE International Conference on Automatic Face and Gesture Recognition, 2018.

  2 M. Qiao, T. Wang, Y. Dong, J. Shi, J. Teng and H. Snoussi, "Real time object tracking based on local texture feature with correlation filter", Proc. the 21st IEEE International Conference on Digital Signal Processing, Beijing, China,2016.

  1 Z. Zha, X. Liu, Z. Zhou, X. Huang, J. Shi, and X. Zhang, "Image denoising via group sparsity residual constraint", Proc. the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), NEW ORLEANS, USA, 2017.