邵杭，男，1993年10月生，汉族，山东威海人，中共党员，工学博士，讲师，硕士生导师，青岛大学青年卓越人才。2025年博士毕业于南京理工大学计算机科学与技术专业，依托模式识别与智能系统国家重点学科；2021年硕士毕业于上海理工大学控制科学与工程专业。博士期间，曾任阿布扎比穆罕默德·本·扎耶德人工智能大学机器学习系助理研究员；曾获IJCAI-RePSS国际挑战赛亚军、南京浦芯精英奖。2025年加入青岛大学澳彩投注平台智能科学与技术系。以第一/通讯作者在IEEE TNNLS、TCSVT、TIM、CVPR、IJCAI、Pattern Recognition、EAAI等国际学术期刊和会议上发表论文10余篇，担任IEEE TIP、TNNLS、TMM、TCSVT、TFS、JBHI等顶级期刊审稿人。
联系方式：[email protected]
研究方向：模式识别、机器学习、深度学习、计算机视觉、生物特征识别、生理信息感知
招收计算机科学与技术、人工智能、电子信息专业硕士研究生，欢迎感兴趣同学联系；欢迎优秀本科生进组学习
代表性论文：
H. Shao, L. Luo, J. Qian, et al. TranSpike: Pixel-wise frequency reconstruction and spike interaction for remote photoplethysmography. Pattern Recognition, 2026. (SCI-I, Top, IF: 7.6)
H. Shao, L. Luo, J. Qian, et al. Remote photoplethysmography in real-world and extreme lighting scenarios. IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashville, TN, USA, 2025. (CCF-A)
H. Shao, L. Luo, J. Qian, et al. Video-based multiphysiological disentanglement and remote robust estimation for respiration. IEEE Transactions on Neural Networks and Learning Systems, 2025. (SCI-I, Top, IF: 10.2)
H. Shao, L. Luo, J. Qian, et al. TranPhys: Spatiotemporal masked transformer steered remote photoplethysmography estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2024. (SCI-I, Top, IF: 11.1)
H. Shao, L. Luo, J. Qian, et al. TranPulse: Remote photoplethysmography estimation with time-varying supervision to disentangle multiphysiologically interference. IEEE Transactions on Instrumentation and Measurement, 2024. (SCI-II, Top, IF: 5.9)
H. Shao, L. Luo, S. Chen, et al. Hyperbolic embedding steered spatiotemporal graph convolutional network for video-based remote heart rate estimation. Engineering Applications of Artificial Intelligence, 2023. (SCI-I, Top, IF: 8.0)
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.
M. Yan, J. Qian, H. Shao, et al. Self-supervised temperature representation learning for fever screening. IEEE Transactions on Cybernetics, 2025. (SCI-I, Top, IF: 10.5)
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-I, Top, IF: 11.1)
M. Yan, J. Qian, H. Shao, et al. FeverNet: Enabling accurate and robust remote fever screening. Pattern Recognition, 2024. (SCI-I, Top, IF: 7.6)
C. Hu, H. Shao, B. Dong, et al. ASD: Towards attribute spatial decomposition for prior-free facial attribute recognition. IEEE International Conference on Multimedia and Expo, Niagara Falls, Canada, 2024. (CCF-B)
C. Zhao, C. Hu, H. Shao, et al. Towards trustworthy multi-label sewer defect classification via evidential deep learning. IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes Island, Greece, 2023. (CCF-B)
