邵杭，男，汉族，1993年10月生，山东威海人，中共党员，工学博士，讲师，青岛大学青年卓越人才。2025年于南京理工大学计算机科学与技术专业获工学博士学位，期间曾任阿联酋穆罕穆德·本·扎耶德人工智能大学（MBZUAI）机器学习系研究助理，同年加入青岛大学计算机学院智能科学与技术系。在IEEE TNNLS、IEEE TCSVT、IEEE TIM、CVPR、IJCAI、Pattern Recognition、Engineering Applications of Artificial Intelligence等国际学术期刊和会议上发表论文10余篇。

联系方式：shaohang@qdu.edu.cn

研究方向：模式识别、机器学习、深度学习、计算机视觉、非接触式生理信息感知。

代表性论文：

[1] H. Shao, et al. Remote photoplethysmography in real-world and extreme lighting scenarios. IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025. (CCF-A类)

[2] H. Shao, et al. Video-based multiphysiological disentanglement and remote robust estimation for respiration. IEEE Transactions on Neural Networks and Learning Systems, 2025. (SCI一区)

[3] H. Shao, et al. TranSpike: Pixel-wise frequency reconstruction and spike interaction for remote photoplethysmography. Pattern Recognition, 2025. (SCI一区)

[4] H. Shao, et al. TranPhys: Spatiotemporal masked transformer steered remote photoplethysmography estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2024. (SCI一区)

[5] H. Shao, et al. TranPulse: Remote photoplethysmography estimation with time-varying supervision to disentangle multiphysiologically interference. IEEE Transactions on Instrumentation and Measurement, 2024. (SCI二区)

[6] H. Shao, et al. Hyperbolic embedding steered spatiotemporal graph convolutional network for video-based remote heart rate estimation. Engineering Applications of Artificial Intelligence, 2023. (SCI一区)

[7] C. Zhao, C. Hu, H. Shao, et al. PipeMamba: State space model for efficient video-based sewer defect classification. IEEE Transactions on Artificial Intelligence, 2025. (SCI一区)

[8] M. Yan, J. Qian, H. Shao, et al. Self-supervised temperature representation learning for fever screening. IEEE Transactions on Cybernetics, 2025. (SCI一区)

[9] C. Hu, C. Zhao, H. Shao, et al. TMFF: Trustworthy multi-focus fusion framework for multi-label sewer defect classification in sewer inspection videos. IEEE Transactions on Circuits and Systems for Video Technology, 2024. (SCI一区)

[10] M. Yan, J. Qian, H. Shao, et al. FeverNet: Enabling accurate and robust remote fever screening. Pattern Recognition, 2024. (SCI一区)