个人简历

博士，副教授。2015年6月毕业于四川大学，获得计算机科学与技术专业博士学位。2015年7月任成都信息工程大学计算机学院教师。2017年作为访问学者于美国范德比特大学图像科学研究所（VUIIS）从事大脑纤维聚类分析研究。

研究领域

从事机器学习、智能算法和深度学习等

近期论文

Xiaojie Li, Jiancheng Lv, and Zhang Yi. Outlier Detection using Structural Scores in a High-dimensional Space, IEEE Transactions on Cybernetics (JCR一区IF= 10.387), 2018.
Xiaojie Li, Jiancheng Lv, and Zhang Yi. An Efficient Representation-based Method for Boundary Point and Outlier Detection, IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (JCR 一区 IF= 11.68) 2016.
Xiaojie Li, Jiancheng Lv, and Zhang Yi. Manifold alignment based on sparse local structures of more corresponding pairs[C] AAAI Press, 2013: 2862-2868. (IJCAI CCF A 类会议) 2013.
Chaoyang Xia, Xiaojie Li（共同一作） , Xin Wang, Bin Kong, Yucheng Chen, Youbing Yin, Kunlin Cao, Qi Song, Siwei Lyu, and Xi Wu*, A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information, 医学图像分析高级别会议 MICCAI 2019.
Xiaojie Li, Jiancheng Lv, Xi Wu and Xin Yu. A Semi-supervised manifold alignment algorithm and an evaluation method based on local structure preservation[J]. Neurocomputing, 224: 195-203. (IF= 3.241) 2017.
Xiaojie Li, Wu Xi, Lv Jiancheng, Jia He et al. Automatic detection of boundary points based on local geometrical measures [J]. Soft Computing (SCI, IF: 2.367), 2017(3):1-12.
Xiaojie Li, Jiancheng Lv, and Lili Li. Online Clustering via Energy Scoring Based on Low-rank and Sparse Representation, Electronics Letters (SCI) 2014, 50(25): 1927-1929 (IF=1.232).
Xiaojie Li, Jiancheng Lv, Lili Li and Ao Feng. An angle and density-based method for key points detection,2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, 2016, pp. 3682-3688（CCF C 类会议）2016.