Topology adaptive vessel network skeleton extraction with novel medialness measuring function. - Wenbo Zhu 001; Bin Li 024; Lianfang Tian; Xiangxia Li; Qing-Lin Chen (Comput. Biol. Medicine, 2015)

Automatic benign and malignant classification of pulmonary nodules in thoracic computed tomography based on RF algorithm. - Xiangxia Li; Bin Li 024; Lianfang Tian; Li Zhang 027 (IET Image Process., 2018)

Random Walks with GMM Statistical Inference Algorithm for Segmentation of Ground Glass Opacity Pulmonary Nodules. - Xiangxia Li; Fang Liu 030 (ISCID (2), 2019)

Exploring Cluster Stocks based on deep learning for Stock Prediction. - Fang Liu 030; Xiangxia Li; Lin Wang 004 (ISCID (2), 2019)

Segmentation of Pulmonary Nodules Using a GMM Fuzzy C-Means Algorithm. - Xiangxia Li; Bin Li 024; Fang Liu 030; Hua Yin; Feng Zhou 018 (IEEE Access, 2020)

Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization. - Xiao Su; Yalan Zhou; Shanshan He; Xiangxia Li (KSEM (4), 2023)

A Generative Adversarial Approach with Social Relationship for Recommender Systems. - Xiangxia Li; Kairui Chen; Yalan Zhou; Yanhong Chen (PCCNT, 2023)

Cascading graph contrastive learning for multi-behavior recommendation. - Jiangquan Yang; Xiangxia Li; Bin Li; Lianfang Tian; Bo Xu; Yanhong Chen (Neurocomputing, 2024)