赵爱特，副教授，硕士研究生导师，青岛大学计算机科学与技术系党支部书记，泛在网络与城市计算研究所副所长。莱斯特大学访问学者。
研究方向：
深度学习、计算机视觉、医学多模态分析、机器人技术等。
主持国家自然科学基金项目、中国博士后科学基金项目、山东省自然科学基金项目等。在Nature, SciAdv, IEEE TIP, IEEE TCYB, IEEE TMM, IEEE TCSVT, KBS等著名国际期刊发表学术论文30余篇。现为CCF&ACM会员、CAAI机器学习专委会通讯委员和CCF YOCSEF委员；担任IEEE TNSRE, IEEE THMS, IEEE TNNLS, KBS, Neurocomputing, Applied Intelligence等多个著名国际学术期刊审稿人和模块评审编辑。
主要科研成果（时间顺序）：
[1] Zhao, X., Yu, C., Adamson, A., Zhao, A., Zhou, H., Sharma, P., & Wang, T. (2026). Selective vulnerability of cerebral vasculature to NOTCH3 variants in small vessel disease and rescue by phosphodiesterase-5 inhibitor. Science Advances, 12(14), eaeb1134.（综合顶刊）
[2] Yu, X., Chen, X., Amrute-Nayak, M., Allgeyer, E., Zhao, A., Chenoweth, H., ... & Li, X. (2021). MARK4 controls ischaemic heart failure through microtubule detyrosination. Nature, 594(7864), 560-565.（综合顶刊）
[3] Zhao, A., Liu, Y., Yu, X., Xing, X., & Zhou, H. (2025). Artificial intelligence-enabled detection and assessment of Parkinson’s disease using multimodal data: A survey. Information Fusion, 121, 103175.（新锐1区）
[4] Zhao, A., Wang, Y., & Li, J. (2023). Transferable self-supervised instance learning for sleep recognition. IEEE Transactions on Multimedia, 25, 4464-4477.（新锐1区，CCF A）
[5] Wang, Y., Lv, Z., Sheng, Z., Sun, H., & Zhao, A. (2022). A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic. Advanced Engineering Informatics, 53, 101678.（新锐1区）
[6] Zhao, A., Dong, J., Li, J.,Qi, L. and Zhou, H. "Associated spatio-temporal capsule network for gait recognition", IEEE Trans. on Multimedia. 2021.（新锐1区，CCF A）
[7] Zhao, A, Li, J., and Ahmed, M. "SpiderNet: A spiderweb graph neural network for multi-view gait recognition." Knowledge-Based Systems 206 (2020): 106273.（新锐1区，CCF C）
[8] Zhao, A, Qi, L., Dong, J., Yu, H. "Dual channel LSTM based multi-feature extraction in gait for diagnosis of Neurodegenerative diseases." Knowledge-Based Systems 145 (2018): 91-97.（新锐1区，CCF C）
[9] Zhao, A., Dong, J., Qi, L., Zhang, Q., Li, N., Wang, X. and Zhou, H. "Multimodal gait recognition for neurodegenerative diseases", IEEE Trans. on Cybernetics. 2021.（新锐1区，CCF B）
[10] Yu, X., Shi, X., Chen, X., Li, X., Zhang, G., & Zhao, A. (2025, December). An Efficient Hierarchical Network for Segmentation of Linear Structures in Biomedical Images. In 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 4355-4358). IEEE.（CCF B）
[11] Xing, X., Tang, R., Kong, Y., & Zhao, A. (2025, December). ASA-DSNet: A Dual-Stage Framework with Ambiguous Sample Augmentation for Robust Parkinson's Disease Identification. In 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 4291-4294). IEEE.（CCF B）
[12] Ren, T., Yu, W., Chen, M., Zhao, A., & Zhou, H. (2024, November). TF-FusNet: A Novel Framework for Parkinson’s Disease Detection via Time-Frequency Domain Fusion. In CCF International Conference on Natural Language Processing and Chinese Computing (pp. 82-95). Singapore: Springer Nature Singapore.（CCF C）
[13] Wang, Y., Zhao, A., Li, J., Lv, Z., Dong, C., & Li, H. (2023). Multi-attribute graph convolution network for regional traffic flow prediction. Neural Processing Letters, (4), 4183-4209.（新锐4区，CCF C）
[14] Zhao, A., Wu, H., Chen, M., & Wang, N. (2023). DCACorrCapsNet: a deep channel-attention correlative capsule network for COVID-19 detection based on multi-source medical images. IET Image Processing, 17(4), 988-1000.（新锐4区，CCF C）
Email: [email protected]
