Statistical Machine Intelligence & LEarning (SMILE) Lab
The goal of the SMILE lab at the University of Electronic Science and Technology (UESTC) research is to address critical statistical and computational challenges involved in modern big data analysis, and to help the study of complex systems in the areas of information retrieval, computer vision, social computing, cyber security, bioinformatics, and biomedical applications.
To this end, the lab studies sparse, relational, and dynamic models driven by various applications, and develop efficient, effective, and scalable algorithms for those models.
My research areas includes:
The goal of the SMILE lab at the University of Electronic Science and Technology (UESTC) research is to address critical statistical and computational challenges involved in modern big data analysis, and to help the study of complex systems in the areas of information retrieval, computer vision, social computing, cyber security, bioinformatics, and biomedical applications.
To this end, the lab studies sparse, relational, and dynamic models driven by various applications, and develop efficient, effective, and scalable algorithms for those models.
My research areas includes:
- Multiple kernel learning/Multiview learning/Multitask learning/Multiway data analysis
- Nonparametric Bayesian approaches
- Network modeling/Dynamic models
- Tensor analysis
- Online/Distributed learning