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2020 – today
- 2024
[j4]Jiangquan Yang, Xiangxia Li
, Bin Li, Lianfang Tian, Bo Xu, Yanhong Chen:
Cascading graph contrastive learning for multi-behavior recommendation. Neurocomputing 610: 128618 (2024)- 2023
- [c4]Xiao Su, Yalan Zhou, Shanshan He, Xiangxia Li:
Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization. KSEM (4) 2023: 242-249 - [c3]Xiangxia Li, Kairui Chen, Yalan Zhou, Yanhong Chen:
A Generative Adversarial Approach with Social Relationship for Recommender Systems. PCCNT 2023: 12:1-12:5 - 2020
- [j3]Xiangxia Li, Bin Li, Fang Liu, Hua Yin, Feng Zhou:
Segmentation of Pulmonary Nodules Using a GMM Fuzzy C-Means Algorithm. IEEE Access 8: 37541-37556 (2020)
2010 – 2019
- 2019
- [c2]Fang Liu, Xiangxia Li, Lin Wang:
Exploring Cluster Stocks based on deep learning for Stock Prediction. ISCID (2) 2019: 107-110 - [c1]Xiangxia Li, Fang Liu:
Random Walks with GMM Statistical Inference Algorithm for Segmentation of Ground Glass Opacity Pulmonary Nodules. ISCID (2) 2019: 225-228 - 2018
- [j2]Xiangxia Li, Bin Li, Lianfang Tian, Li Zhang:
Automatic benign and malignant classification of pulmonary nodules in thoracic computed tomography based on RF algorithm. IET Image Process. 12(7): 1253-1264 (2018) - 2015
- [j1]Wenbo Zhu, Bin Li, Lianfang Tian, Xiangxia Li, Qing-Lin Chen:
Topology adaptive vessel network skeleton extraction with novel medialness measuring function. Comput. Biol. Medicine 64: 40-61 (2015)
Coauthor Index
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