Tao He is a Ph.D. candidate in computer science and technology from Sichuan University, Chengdu, China, from 2017, surprivised by Prof. Zhang Yi, IEEE Fellow. Now, he is an research assistant in Sichuan University. His research intrest includes Deep Learning, Medical Imaging, and Stomatology Intelligent Medical in Machine Intelligence Laboratory.
J. Yao, W. Zeng, T. He, S. Zhou, Y. Zhang, J. Guo, and W. Tang, “Automatic localization of cephalometric landmarks based on convolutional neural network,” American Journal of Orthodontics and Dentofacial Orthopedics, vol. 161, no. 3, pp. e250–e259, 2022, doi: 10.1016/j.ajodo.2021.09.012.
T. He, J. Yao, W. Tian, Z. Yi, W. Tang, and J. Guo, “Cephalometric landmark detection by considering translational invariance in the twostage framework,” Neurocomputing, vol. 464, pp. 15–26, 2021, doi: 10.1016/j.neucom.2021.08.042.
T. He, L. Zhang, J. Guo, and Z. Yi, “Multilabel classification by exploiting data-driven pair-wise label dependence,” International Journal of Intelligent Systems, vol. 35, no. 9, pp. 1375–1396, 2020, doi: 10.1002/int.22257.
T. He, H. Mao, and Z. Yi, “Subtraction gates: Another way to learn long-term dependencies in recurrent neural networks,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1–12, 2020, doi:10.1109/TNNLS.2020.3043752.
T. He, J. Hu, Y. Song, J. Guo, and Z. Yi, “Multi-task learning for the segmentation of organs at risk with label dependence,” Medical Image Analysis, vol. 61, p. 101666, 2020, doi: 10.1016/j.media.2020.101666.
T. He, J. Guo, N. Chen, X. Xu, Z. Wang, K. Fu, L. Liu, and Z. Yi, “Medimlp: Using grad-cam to extract crucial variables for lung cancer postoperative complication prediction,” IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 6, pp. 1762–1771, 2020, doi: 10.1109/JBHI.2019.2949601.
T. He, J. Guo, J. Wang, X. Xu, and Z. Yi, “Multi-task learning for the segmentation of thoracic organs at risk in ct images.” in SegTHOR@ ISBI, 2019, pp. 10–13.
T. He, H. Mao, and Z. Yi, “Moving object recognition using multiview three-dimensional convolutional neural networks,” Neural computing and applications, vol. 28, no. 12, pp. 3827–3835, 2017, doi: 10.1007/s00521-016-2277-9.
T. He, H. Mao, J. Guo, and Z. Yi, “Cell tracking using deep neural networks with multi-task learning,” Image and Vision Computing, vol. 60, pp. 142–153, 2017, doi: 10.1016/j.imavis.2016.11.010.
B. Wu, J. Jia, T. He, J. Du, X. Yi, and Y. Ning, “Inferring users’ emotions for human-mobile voice dialogue applications,” in 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016, pp. 1–6, doi: 10.1109/ICME.2016.7552890.
J. Jia, J. Huang, G. Shen, T. He, Z. Liu, H. Luan, and C. Yan, “Learning to appreciate the aesthetic effects of clothing,” in Proceedings of the AAAI Conference on Artificial Intelligence, vol. 30, no. 1, 2016.
IEEE Transactions on Cybernetics (TCYB)