• MEng: 1) Electronic Information     

• MS：1)Intelligent Science and Technology     

• Ph.D: 1) Intelligent Science and Technology;

Liu Ye, Ph.D., is an associate professor at the School of Future Technology, South China University of Technology. I graduated from Beijing Jiaotong University with a bachelor's degree and from Hong Kong Baptist University with a doctorate. Research interests include matrix tensor computation, graph machine learning theory and applications, data mining, and neural network compression. Students who are interested are welcome to apply for doctoral and master's programs. Undergraduate students are also welcome to participate in scientific research training.

• Matrix tensor computation, graph machine learning theory and application, data mining, neural network compression

• Y. LIU*, M. K. Ng, Deep Neural Network Compression by Tucker Decomposition with Nonlinear Response.Knowledge based systems,2022.

• Y. LIU*, J. J. Pan, M. K. Ng, Tucker Decomposition Network: Expressive Power and Comparison. Neural Network.

• Y. Liu*, M. K. Ng, and H. Zhu, ”Multiple graph semi-supervised clustering with automatic calculation of graph associations”, in Neurocomputing, Volume 429, 2021.

• J. J. Pan, M. K. Ng, Y. Liu*, et al. ”Orthogonal Nonnegative Tucker Decomposi- tion[J],” in SIAM Journal on Scientific Computing, 2021, 43(1): B55-B81.

• Y. Liu*, M. K. Ng and S. Wu, ”Multi-Domain Networks Association for Biolog- ical Data Using Block Signed Graph Clustering,” in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018. 

• Y. Liu*, and M. K. Ng, ” A new clustering algorithm for genes with multiple cancer diseases by self-consistent field iteration method,”, Network Modeling Analysis in Health Informatics and Bioinformatics,2022.