LIU Chen

Title:Associate Professor

Position:

Research Interests: Machine learning, Deep learning, Complex network analysis, Time series mining

Email: chenliu@usst.edu.cn

Office: Room 813, Business School

Department:Information Management and Information Systems

Academic/Professional Qualifications & Career History

Academic/Professional Qualifications 

Ph.D., Management Science and Engineering, Harbin Institute of Technology, Harbin, China. 2007-2010

Career History:

2010.10 -- present, Teacher in the Business School,University of Shanghai for Science and Technology




Research Achievements

Scientific Research projects

Projects:

(1) 2021.07-2024.06, Shanghai Philosophy and Social Science Planning Project, Research on data-driven comprehensive ranking method of scientific research influence. 2021BTQ003.

(2) 2015.01-2017.12, National Natural Science Foundation of China, The dyadic influence model and control strategies of digital content diffusion on social media, 71303157.


Recent Papers: 

1.Missing nodes detection on graphs with self- supervised contrastive learning, Engineering Applications of Artificial Intelligence, 2024, 132: 107811

2.Infusing external knowledge into user stance detection in social platforms, Journal of Intelligent & Fuzzy Systems, 2024, 46(1): 2161- 2177

3.Time series classification based on convolutional network with a gated linear units kernel. Engineering Applications of Artificial Intelligence, 2023, 123: 106296.

4.Stance detection of user reviews on social network with integrated structural information. Journal of Intelligent & Fuzzy Systems, 2023, 2023: 1064-1246. 

5.Learning to rank complex network node based on the self-supervised graph convolution model. Knowledge-Based Systems, 2022, 251: 10922.

6.Activity of nodes reshapes the critical threshold of spreading dynamics in complex networks. Physica A, 432 (2015) 269-278. 

7.Nonsmooth multiobjective programming with quasi-Newton methods. European Journal of Operational Research, 2014, 235(3): 503–510.

 

Teaching Courses

Big Data Analytics and Applications

Programming in Python

Machine Learning

Artificial Intelligence

Operating System Basics 

 

Professional/Consulting Activities

 

Awards and Honors