Publications

“#” indicates Corresponding author

Journal Publication

• Hailin Zhu, Xiang Li, Tao He, Boyan Liu, Wei Tang, and Jixiang Guo, “Enhanced landmark detection in oral and maxillofacial CT and CBCT scans: a multi-stage global-local integration approach.” IEEE Transactions on Instrumentation and Measurement (2025). https://10.1109/TIM.2025.3571083.
• Le Yu, Bo Gou, Xun Xia, Yujia Yang, Zhang Yi, Xiangde Min, #Tao He, “BUS-M2AE: Multi-scale masked autoencoder for breast ultrasound image analysis.” Computers in Biology and Medicine 191 (2025): 110159. https://doi.org/10.1016/j.compbiomed.2025.110159.
• Zhihua Wang, Yuxin He, Zhang Yi, #Tao He, #Jiajun Bu, “Neural memory self-supervised state space models with learnable gates.” IEEE Signal Processing Letters (2025). https://10.1109/LSP.2025.3541989.
• Yaqi Liu, Tingting Wang, Li Yang, Jianhong Wu, #Tao He, “Automatic joint lesion detection by enhancing local feature interaction.” Computerized Medical Imaging and Graphics (2025): 102509. https://doi.org/10.1016/j.compmedimag.2025.102509.
• Li Cui, Boyan Liu, Guikun Xu, Jixiang Guo, Wei Tang, #Tao He, “A pseudo-3D coarse-to-fine architecture for 3D medical landmark detection.” Neurocomputing 614 (2025): 128782. https://doi.org/10.1016/j.neucom.2024.128782.
• Zhihua Wang, Jingjun Gu, Wang Zhou, Quansong He, Tianli Zhao, Jialong Guo, Li Lu, #Tao He, and #Jiajun Bu. “Neural memory state space models for medical image segmentation.” International Journal of Neural Systems 35, no. 1 (2025): 2450068. https://doi.org/10.1142/S0129065724500680.
• Chaowen Yan, Yong Wang, Lili Chang, Qiang Zhang, and #Tao He. “A novel masking model for Buddhist literature understanding by using Generative Adversarial Networks.” Expert Systems with Applications 258 (2024): 125241. https://doi.org/10.1016/j.eswa.2024.125241.
• Haiying Luo, Tao He, and Zhang Yi. “A stable mapping of nmODE.” Artificial Intelligence Review 57.5 (2024): 120. https://doi.org/10.1007/s10462-024-10749-8.
• Hao Niu, Zhang Yi, and #Tao He. “A bidirectional feedforward neural network architecture using the discretized neural memory ordinary differential equation.” International Journal of Neural Systems 34, no. 04 (2024): 2450015. https://doi.org/10.1142/s0129065724500151.
• 邱韬，何涛，张强，肖雨璇，郭维华。基于人工智能技术的面相照片标志点自动定位的评价。口腔医学，2023年12月，第43卷，第12期。
• Tao He, Guikun Xu, Li Cui, Wei Tang, Jie Long, and Jixiang Guo. “Anchor ball regression model for large-scale 3D skull landmark detection.” Neurocomputing 567 (2024): 127051. https://doi.org/10.1016/j.neucom.2023.127051.
• Dong, Wenxuan, Meng You, Tao He, Jiaqi Dai, Yueting Tang, Yuchao Shi, and Jixiang Guo. “An automatic methodology for full dentition maturity staging from OPG images using deep learning.” Applied Intelligence 53, no. 23 (2023): 29514-29536. https://doi.org/10.1007/s10489-023-05096-0.
• Tao He, Jixiang Guo, Wei Tang, Wei Zeng, Ping He, Fanxin Zeng, and Zhang Yi. “Cascade-refine model for cephalometric landmark detection in high-resolution orthodontic images.” Knowledge-Based Systems 265 (2023): 110332. https://doi.org/10.1016/j.knosys.2023.110332.
• Yao, Jie, Wei Zeng, Tao He, Shanluo Zhou, Yi Zhang, Jixiang Guo, and Wei Tang. “Automatic localization of cephalometric landmarks based on convolutional neural network.” American Journal of Orthodontics and Dentofacial Orthopedics 161, no. 3 (2022): e250-e259. https://doi.org/10.1016/j.ajodo.2021.09.012.
• Tao He, Hua Mao, and Zhang Yi. “Subtraction gates: Another way to learn long-term dependencies in recurrent neural networks.” IEEE Transactions on Neural Networks and Learning Systems 33, no. 4 (2022): 1740-1751. https://doi.org/10.1109/TNNLS.2020.3043752.
• Tao He, Jie Yao, Weidong Tian, Zhang Yi, Wei Tang, and Jixiang Guo. “Cephalometric landmark detection by considering translational invariance in the two-stage framework.” Neurocomputing 464 (2021): 15-26. https://doi.org/10.1016/j.neucom.2021.08.042.
• Tao He, Lei Zhang, Jixiang Guo, and Zhang Yi. “Multilabel classification by exploiting data‐driven pair‐wise label dependence.” International Journal of Intelligent Systems 35, no. 9 (2020): 1375-1396. https://doi.org/10.1002/int.22257.
• Tao He, Junjie Hu, Ying Song, Jixiang Guo, and Zhang Yi. “Multi-task learning for the segmentation of organs at risk with label dependence.” Medical Image Analysis 61 (2020): 101666. https://doi.org/10.1016/j.media.2020.101666.
• Tao He, Jixiang Guo, Nan Chen, Xiuyuan Xu, Zihuai Wang, Kaiyu Fu, Lunxu Liu, and Zhang Yi. “Medimlp: using grad-cam to extract crucial variables for lung cancer postoperative complication prediction.” IEEE journal of biomedical and health informatics 24, no. 6 (2019): 1762-1771. https://doi.org/10.1109/JBHI.2019.2949601.
• Tao He, Hua Mao, and Zhang Yi. “Moving object recognition using multi-view three-dimensional convolutional neural networks.” Neural computing and applications 28 (2017): 3827-3835. https://doi.org/10.1007/s00521-016-2277-9.
• Tao He, Hua Mao, Jixiang Guo, and Zhang Yi. “Cell tracking using deep neural networks with multi-task learning.” Image and Vision Computing 60 (2017): 142-153. https://doi.org/10.1016/j.imavis.2016.11.010.

Conference Publication

• Le Yu, Jun Wu, Bo Gou, Xiangde Min, Lei Zhang, Zhang Yi, #Tao He. “MobileODE: an extra lightweight network.” In the proceedings of The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
• Quansong He, Xiangde Min, Kaishen Wang, and #Tao He. “FuseUNet: A multi-scale feature fusion method for u-like networks.” In the proceedings of International Conference on Machine Learning (ICML), 2025.
• Quansong He, Xiaojun Yao, Jun Wu, Zhang Yi, and #Tao He. “A lightweight U-like network utilizing neural memory ordinary differential equations for slimming the decoder.” In the proceedings of International Joint Conference on Artificial Intelligence (IJCAI), pp. 821-829. 2024. https://doi.org/10.24963/ijcai.2024/91.
• Kaishen Wang, Xun Xia, Jian Liu, Zhang Yi, and #Tao He. “Strengthening Layer Interaction via Dynamic Layer Attention.” In the proceedings of International Joint Conference on Artificial Intelligence (IJCAI), pp. 5073-5081. 2024. https://doi.org/10.24963/ijcai.2024/561.
• Quansong He, #Tao He, and Zhang Yi. “Medical Image Segmentation Using Discretized nmODE.” In International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC), pp. 497-503. IEEE, 2023. https://doi.org/10.1109/CSIS-IAC60628.2023.10363958.
• Yaqi Liu, Li Yang, Tingting Wang, Jianhong Wu, #Tao He, and Zhang Yi. “An optimized YOLO model with local attention for arthritis lesion detection on X-Ray images.” In 2023 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC), pp. 489-496. IEEE, 2023. https://doi.org/10.1109CSIS-IAC60628.2023.10364047.
• Qiang Zhang, Jixiang Guo, Tao He, Jie Yao, Wei Tang, and Zhang Yi. “A novel landmark detection method for cephalometric measurement.” In IEEE International Conference on Medical Imaging Physics and Engineering (ICMIPE), pp. 1-10. IEEE, 2021. https://doi.org/10.1109/ICMIPE53131.2021.9698911.
• Boya Wu, Jia Jia, Tao He, Juan Du, Xiaoyuan Yi, and Yishuang Ning. “Inferring users’ emotions for human-mobile voice dialogue applications.” In IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6. IEEE, 2016. https://doi.org/10.1109/ICME.2016.7552890.
• Jia, Jia, Jie Huang, Guangyao Shen, Tao He, Zhiyuan Liu, Huanbo Luan, and Chao Yan. “Learning to appreciate the aesthetic effects of clothing.” In Proceedings of the AAAI conference on artificial intelligence, vol. 30, no. 1. 2016. https://doi.org/10.1609/aaai.v30i1.10158.