Changchen Zhao

Changchen Zhao recieved his Ph.D. from Beihang University, Beijing China and National Chung Hsing University, Taichung Taiwan in 2018, respectively. He is now an Associate Professor at School of Computer Science, Hangzhou Dianzi University. His research interests include visual non-contact physiological monitoring  (pulse, heart rate, blood pressure, blood oxygen saturation) and cardiovascular disease detection. In the past five years, he has published 8 SCI journal papers as the first author or corresponding author, including one highly cited and hot paper, 9 international conference papers.

2013/09-2018/12, Beihang University, Beijing, China, Ph.D.

2015/09-2018/06, National Chung Hsing University, Taichung, Taiwan, Ph.D

2007/09-2011/06, Shandong University of Science and Technology, B.Eng.

remote photoplethysmography; medical image; computer vision; physiological monitoring; medical equipment

[1] Luzhou Zheng, Changchen Zhao, Chao Zhang, et al., Graph Convolution Network with EEG-EMG Fusion for Upper Limb Motion Intention Recognition, Journal of Shanghai Jiaotong University (Science), published online, 2025, DOI: 10.1007/s12204-025-2856-y

[2] Changchen Zhao, Shunhao Zhang, Pengcheng Cao, et al., Pruning remote photoplethysmography networks using weight-gradient joint criterion, Expert Systems With Applications, 282:127623, 2025 (IF: 7.5, TOP 期刊)

[3] Changchen Zhao, Pengcheng Cao, Meng Hu, et al., WTC3D: An Efficient Neural Network for Noncontact Pulse Acquisition in Internet of Medical Things, IEEE Transactions on Industrial Informatics, 21(2):1547-1556, 2025 (IF: 11.7, TOP 期刊)

[4] Changchen Zhao, Kai Liu, et al., Cross-Modality Self-Attention and Fusion-Based Neural Network for Lower Limb Locomotion Mode Recognition, IEEE Transactions on Automation Science and Engineering, 22:5411-5424, 2024 (IF: 5.9, TOP 期刊)

[5] Bin Huang, Shen Hu, Zimeng Liu, Chun-Liang Lin, Junfeng Su, Changchen Zhao, Li Wang, and Wenjin Wang, Challenges and prospects of visual contactless physiological monitoring in clinical study, npj Digital Medicine, DOI: 10.1038/s41746-023-00973-x, 2023 (SCI, IF: 15.2, Nature 子刊)

[6] Changchen Zhao, Menghao Zhou, Zheng Zhao, et al., Learning spatio-temporal pulse representation with global-local interaction and supervision for remote prediction of heart rate, IEEE Journal of Biomedical and Health Informatics, 28(2):609-620, 2024 (SCI, IF: 7.7, Q1, 中科院一区TOP)

[7] Changchen Zhao, Hongsheng Wang, Huiling Chen, Weiwei Shi, Yuanjing Feng, JAMSNet: A Remote Pulse Extraction Network Based on Joint Attention and Multi-Scale Fusion, IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(6): 2783-2797 (SCI, IF: 8.4, Q1, 中科院一区TOP, 热点论文，高被引论文)

[8] Changchen Zhao, Menghao Zhou, Weiran Han, Yuanjing Feng, Anti-motion remote measurement of heart rate based on region proposal generation and multi-scale roi fusion, IEEE Transactions on Instrumentation and Measurement, 71:5012413, 2022 (SCI, IF: 5.6, Q1)

[9] Changchen Zhao, Meng Hu, Feng Ju, Zan Chen, Yongqiang Li, Yuanjing Feng, Convolutiona neural network with spatio-temporal-channel attention for remote heart rate estimation, The Visual Computer, August, 2022

[10] Changchen Zhao, Chun-Liang Lin, Weihai Chen, Jianhua Wang, Visual heart rate estimation and negative feedback control for fitness exercise, Biomedical Signal Processing and Control, 56:101680, 2020 (SCI, IF: 5.1, Q2)