Li Xiaojie, Doctor of Engineering, Associate Professor

Email: lixj@cuit.edu.cn

Research and postgraduate enrollment direction:

Machine learning, image processing

Profile:

Mainly engaged in machine learning, intelligent algorithm and deep learning. She graduated from Sichuan University in June 2015 with a doctor's degree in computer science and technology. In July 2015, she served as a teacher in the School of Computer Science of Chengdu University of Information Engineering. In 2017, as a visiting scholar, she was engaged in cluster analysis of brain fibers at the Institute of Image Science (VUIIS) of Vanderbilt University in the United States. The first author or corresponding author has published more than 30 papers, and some research achievements have been published in the international top conference IJCAI in the field of artificial intelligence of the CCF Class A conference of the Chinese Computer Society, the high-level conference MICCAI on medical image analysis, the Asia Pacific Conference on Intelligent and Evolutionary Systems (IES) (Best Student Outstanding Paper), IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, Neurocomputing, Soft Computing and other important international conferences and academic journals; Presided over and undertook 1 National Natural Science Foundation and 1 provincial and ministerial level project, 2 school level projects, 1 National Natural Science Foundation as the first major research project, 3 national invention patents were authorized, more than 10 national invention patents were accepted, and more than 10 software copyrights were obtained.

Current teaching:

1. "Advanced Engineering Mathematics", postgraduate

2. "Machine learning", postgraduate

3. "C Language Programming I", undergraduate

4. "Linux Operating System Experiment" Undergraduate

5. "Computer Vision" Undergraduate

Mainly undertake scientific research projects:

1. Head of National Natural Science Foundation of China Youth Fund, Research on High dimensional Spatial Anomaly Detection Method Combining Shallow and Deep Expression (61602066)

2. Outstanding young scientific and technological talents of Sichuan Province (cultivation), based on joint expression of high-dimensional spatial anomaly detection project No.: 19JCQN0003, person in charge

3. Person in charge of the key project of Sichuan Provincial Education Department, research on expression based high-dimensional space special point detection (17ZA0063)

4. Research Fund for Young and Middle aged Academic Leaders of Chengdu University of Information Engineering (J201704), Director

Main representative papers (* corresponding authors, # co authors):

Xiaojie Li, Jiancheng Lv*, and Zhang Yi. Outlier Detection using Structural Scores in a High dimensional Space, IEEE Transactions on Cybernetics (JCR Zone 1 IF=11.079), 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 Zone I) 2016

Xiaojie Li, Jiancheng Lv*, and Zhang Yi. Manifold alignment based on sparse local structures of more responding pairs [C] AAAI Press, 2013: 2862-2868

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 identity based method for key points detection, 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, 2016, pp. 3682-3688 (CCF Class C Conference) 2016

Xiaojie Li, Jiancheng Lv*, and DongDong Cheng. Angle-based Outlier Detection Algorithm with More Stable Relationships, The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems. (Singapore). Awarded “Outstanding Student Paper Award”, 2014