Balance learning to rank in big data. - Guanqun Cao; Iftikhar Ahmad 001; Honglei Zhang; Weiyi Xie; Moncef Gabbouj (EUSIPCO, 2014)

Incremental Learning with Support Vector Data Description. - Weiyi Xie; Stefan Uhlmann; Serkan Kiranyaz; Moncef Gabbouj (ICPR, 2014)

Structural correlates of literacy difficulties in the second language: Evidence from Mandarin-speaking children learning English. - Hehui Li; James R. Booth; Nathalie N. Bélanger; Xiaoxia Feng; Mengyu Tian; Weiyi Xie; Manli Zhang; Yue Gao; Chen Ang; Xiujie Yang; Li Liu 015; Xiangzhi Meng; et al. (NeuroImage, 2018)

Learning Deep Features for Giant Panda Gender Classification using Face Images. - Hongnian Wang; Han Su 002; Peng Chen; Rong Hou; Zhihe Zhang; Weiyi Xie (ICCV Workshops, 2019)

Usage Intention of Internet of Vehicles Based on CAB Model: The Moderating Effect of Reference Groups. - Xiaoyu Huang; Weiyi Xie; Xiaomin Xu; Delphine Ya-Chu Chan (ICCCS, 2020)

2.75D Convolutional Neural Network for Pulmonary Nodule Classification in Chest CT. - Ruisheng Su; Weiyi Xie; Tao Tan 002 (CoRR, 2020)

Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients. - Weiyi Xie; Colin Jacobs; Jean-Paul Charbonnier; Bram van Ginneken (CoRR, 2020)

Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans. - Weiyi Xie; Colin Jacobs; Jean-Paul Charbonnier; Bram van Ginneken (IEEE Trans. Medical Imaging, 2020)

Visualization and Outlier Detection for Multivariate Elastic Curve Data. - Weiyi Xie; Oksana A. Chkrebtii; Sebastian Kurtek (IEEE Trans. Vis. Comput. Graph., 2020)

Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients. - Weiyi Xie; Colin Jacobs; Bram van Ginneken (CoRR, 2021)

Deep Clustering Activation Maps for Emphysema Subtyping. - Weiyi Xie; Colin Jacobs; Bram van Ginneken (CoRR, 2021)

Research on Automatic Identification Method of Terraces on the Loess Plateau Based on Deep Transfer Learning. - Mingge Yu; Xiaoping Rui; Weiyi Xie; Xijie Xu; Wei Wei (Remote. Sens., 2022)

Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks. - Weiyi Xie; Colin Jacobs; Jean-Paul Charbonnier; Dirk Jan Slebos; Bram van Ginneken (CoRR, 2023)

Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients. - Weiyi Xie; Colin Jacobs; Jean-Paul Charbonnier; Bram van Ginneken (Medical Image Anal., 2023)

2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data. - Xin Wang 121; Ruisheng Su; Weiyi Xie; Wenjin Wang 002; Yi Xu; Ritse Mann; Jungong Han; Tao Tan 002 (Biomed. Signal Process. Control., 2023)

Semi-Supervised Segmentation via Embedding Matching. - Weiyi Xie; Nathalie Willems; Nikolas Lessmann; Tom Gibbons; Daniele De Massari (MIDL, 2024)

SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images. - Weiyi Xie; Nathalie Willems; Shubham Patil; Yang Li; Mayank Kumar (WACV, 2024)

Structure and position-aware graph neural network for airway labeling. - Weiyi Xie; Colin Jacobs; Jean-Paul Charbonnier; Bram van Ginneken (Medical Image Anal., 2024)