Learning to Appreciate the Aesthetic Effects of Clothing. - Jia Jia 001; Jie Huang; Guangyao Shen; Tao He 016; Zhiyuan Liu 001; Huan-Bo Luan; Chao Yan (AAAI, 2016)

Inferring users' emotions for human-mobile voice dialogue applications. - Boya Wu; Jia Jia 001; Tao He 016; Juan Du; Xiaoyuan Yi; Yishuang Ning (ICME, 2016)

Cell tracking using deep neural networks with multi-task learning. - Tao He 016; Hua Mao; Jixiang Guo; Zhang Yi 001 (Image Vis. Comput., 2017)

Moving object recognition using multi-view three-dimensional convolutional neural networks. - Tao He 016; Hua Mao; Zhang Yi 001 (Neural Comput. Appl., 2017)

Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images. - Tao He 016; Jixiang Guo; Jianyong Wang 002; Xiuyuan Xu; Zhang Yi 001 (SegTHOR@ISBI, 2019)

Multilabel classification by exploiting data-driven pair-wise label dependence. - Tao He 016; Lei Zhang 005; Jixiang Guo; Zhang Yi 001 (Int. J. Intell. Syst., 2020)

Multi-task learning for the segmentation of organs at risk with label dependence. - Tao He 016; Junjie Hu 004; Ying Song; Jixiang Guo; Zhang Yi 001 (Medical Image Anal., 2020)

MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction. - Tao He 016; Jixiang Guo; Nan Chen; Xiuyuan Xu; Zihuai Wang; Kaiyu Fu; Lunxu Liu; Zhang Yi 001 (IEEE J. Biomed. Health Informatics, 2020)

Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study. - Pei Yang; Yong Pi; Tao He 016; Jiangming Sun; Jianan Wei; Yongzhao Xiang; Lisha Jiang; Lin Li; Zhang Yi 001; Zhen Zhao; Huawei Cai (BMC Medical Imaging, 2021)

Cephalometric landmark detection by considering translational invariance in the two-stage framework. - Tao He 016; Jie Yao; Weidong Tian; Zhang Yi 001; Wei Tang; Jixiang Guo (Neurocomputing, 2021)

Subtraction Gates: Another Way to Learn Long-Term Dependencies in Recurrent Neural Networks. - Tao He 016; Hua Mao; Zhang Yi 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Cascade-refine model for cephalometric landmark detection in high-resolution orthodontic images. - Tao He 016; Jixiang Guo; Wei Tang; Wei Zeng; Ping He; Fanxin Zeng; Zhang Yi 001 (Knowl. Based Syst., 2023)

An automatic methodology for full dentition maturity staging from OPG images using deep learning. - Wenxuan Dong; Meng You; Tao He 016; Jiaqi Dai; Yueting Tang; Yuchao Shi; Jixiang Guo (Appl. Intell., 2023)

Strengthening Layer Interaction via Dynamic Layer Attention. - Kaishen Wang; Xun Xia; Jian Liu; Zhang Yi 001; Tao He 016 (CoRR, 2024)

A novel masking model for Buddhist literature understanding by using Generative Adversarial Networks. - Chaowen Yan; Yong Wang; Lili Chang; Qiang Zhang; Tao He 016 (Expert Syst. Appl., 2024)

Anchor Ball Regression Model for large-scale 3D skull landmark detection. - Tao He 016; Guikun Xu; Li Cui; Wei Tang; Jie Long; Jixiang Guo (Neurocomputing, 2024)

A Bidirectional Feedforward Neural Network Architecture Using the Discretized Neural Memory Ordinary Differential Equation. - Hao Niu; Zhang Yi 001; Tao He 016 (Int. J. Neural Syst., 2024)

A pseudo-3D coarse-to-fine architecture for 3D medical landmark detection. - Li Cui; Boyan Liu; Guikun Xu; Jixiang Guo; Wei Tang; Tao He 016 (Neurocomputing, 2025)

Neural Memory Self-Supervised State Space Models With Learnable Gates. - Zhihua Wang; Yuxin He; Zhang Yi 001; Tao He 016; Jiajun Bu (IEEE Signal Process. Lett., 2025)

Enhanced Landmark Detection in Oral and Maxillofacial CT and CBCT Scans: A Multistage Global-Local Integration Approach. - Hailin Zhu; Xiang Li 210; Tao He 016; Boyan Liu; Wei Tang; Jixiang Guo (IEEE Trans. Instrum. Meas., 2025)

Neural Memory State Space Models for Medical Image Segmentation. - Zhihua Wang; Jingjun Gu; Wang Zhou; Quansong He; Tianli Zhao; Jialong Guo; Li Lu; Tao He 016; Jiajun Bu (Int. J. Neural Syst., 2025)