• MEng: 1) Electronic Information      

• MS：1)Intelligent Science and Technology

Guo Lihua, an associate professor at South China University of Technology, was born in Yongxin County, Jiangxi Province in February 1978. He graduated from the Information Engineering Department of Nanjing University of Posts and Telecommunications in 1999 and 2002, obtaining a bachelor's degree and a master's degree in multimedia communication. In July 2005, he graduated from the School of Electronic Information of Shanghai Jiao Tong University, earning a Doctor of Engineering degree in Communication and Information Systems. Currently, he/she holds the position of associate professor at South China University of Technology, serves as the secretary-general of the Guangdong Provincial Engineering Research Center for Intelligent Information Processing of Audio, Video, Graphics and Text in Colleges and Universities, and is the deputy secretary-general of the Guangdong Image and Graphics Society.

In 2012, as the main technical person in charge, I won the first prize of Guangdong Science and Technology (Core Technology of Handwritten Human-Computer Interaction and Cloud Computing). Visiting scholar at Griffith University in Australia in 2016, visiting scholar at Technische Universitat Dresden in Germany in 2017, and visiting scholar at SIU University in the United States in 2020. In recent years, I have successively presided over projects funded by the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province, and the Doctoral Program Foundation of the Ministry of Education. I have also participated in numerous research projects funded by the International Cooperation Fund of the Natural Science Foundation of Guangdong Province and others."    

• Computer Vision

• Guo Lihua, Chen Dawu, Jia Kui, Knowledge Transferred Adaptive Filter Pruning for CNN Compression and Acceleration. SCIENCE CHINA Information Sciences, Doi: 10.1007/s11432-020-3162-4.

• Zhiyang Wu, Yuwei Li, Lihua Guo*, Kui Jia, PARN: Position-Aware Relation Networks for Few-Shot Learning, Seoul, South Korea, The IEEE International Conference Computer Vision (ICCV), 2019, 2019-10-27 to 2019-11-02

• Lihua Guo, Extreme Learning Machine with Elastic Net Regularization, Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 421-427, 2020, DOI:10.32604/iasc.2020.013918

• Lihua Guo, From Easy to Difficult: a Self-Paced Multi-task Joint Sparse Representation Method，IEICE Trans. On Information & System, Vol.E101-D,No.8,pp.2115-2122,Aug. 2018.

• Lihua Guo, Chengang Guo, Lei Li, Qinghua huang, Two-Stage Local Constrained Sparse Coding for Fine-Grained Visual Categorization, SCIENCE CHINA Information Sciences, 2018, 61（1）. SCI

• Lihua Guo, Self-Paced Learning with Statistics Uncertainty Prior，IEICE Trans. On Information & System, Vol.E101-D,No.3,pp.-,Mar. 2018.

• Guo Lihua, Luo Cai, Performance Analysis of Food Material Database Statistics and Comparative Experiments, Chinese Journal of Image Graphics, 2017, 22 (8): 1079-1088

• Lihua Guo, Alan Wee-Chung Liew: An Improved Extreme Learning Machine with Parallelized Feature Mapping Structures. DICTA 2016: 1-5

• Lihua Guo, Alan Wee-Chung Liew: Online-Offline Extreme Learning Machine with Concept Drift Tracking for Time Series Data. DICTA 2016: 1-6

• Lihua Guo, Fudi Li, Alan Wee-Chung Liew: Image Aesthetic Evaluation Using Parallel Deep Convolution Neural Network. DICTA 2016: 1-5

• Lihua Guo, Chenggan Guo: A deep sparse coding method for fine-grained visual categorization. IJCNN 2016: 632-639

• Lihua Guo, Manifold Kernel Metric Learning for Larger-scale Image Annotation, IEICE Trans. On Information & System, Vol.E98-D,No.7,pp. 1396-1400,Jul. 2015.

• Lihua Guo, Yangchao Xiong, Qinghua Huang, Xuelong Li, Image Aesthetic Assessment Using Both Hand-crafting and Semantic Features, Neurocomputing  (2014)  vol.143c pp. 14-26.