Principal investigator of 1 National Natural Science Foundation project, 4 Guangdong Provincial Natural Science Foundation projects, 1 Guangdong Provincial Science and Technology Plan project, 2 Guangzhou Municipal Science and Technology Plan projects, and 2 Fundamental Research Funds for the Central Universities projects. Published multiple journal and conference papers, such as 'Multi-Modal Artificial Intelligence of Embryo Grading and Pregnancy Prediction in Assisted Reproductive Technology: A Review' and 'DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction'.
Research Experience
2009-2014, Lecturer, School of Computer Science and Engineering, South China University of Technology; 2014-present, Associate Professor, School of Computer Science and Engineering, South China University of Technology; 2015.11-2016.11, Deputy Director (on secondment), Zunyi Industry and Energy Commission; 2018.9-2019.9, Visiting Scholar, Scientific Computing and Imaging Institute, University of Utah.
Education
Received Bachelor's and Master's degrees in Computer Science and Technology from Harbin Institute of Technology in 2003 and 2006, respectively; obtained a Ph.D. in Computer Application Technology from South China University of Technology in 2009.
Background
Main research interests include artificial intelligence, machine learning, deep learning, and medical image analysis. Currently, an associate professor at the School of Computer Science and Engineering, South China University of Technology, and a master's supervisor.
Miscellany
Admission requirements: Good moral character, curiosity, eagerness to learn, and practical skills.