Hi, I'm Wanjun 👋
I am a Ph.D. candidate in Mathematics (Statistics and Data Science track) at the University of Texas at Arlington, co-advised by Prof. Li Wang and Prof. Rencang Li since 2023.
My research lies at the intersection of Machine Learning and Mathematics, with a focus on Dimensionality Reduction, Structure Learning, Multi-view Learning, and Optimization for Big Data.
Prior to my Ph.D. studies, I earned an M.Phil. in Probability and Mathematical Statistics from Hong Kong Baptist University (2023), supervised by Prof. Tiejun Tong and Prof. Jingjin Wu. I also hold a B.Sc. in Financial Mathematics from Hong Kong Baptist University (2020).
My research lies at the intersection of Machine Learning and Mathematics, with a focus on Dimensionality Reduction, Structure Learning, Multi-view Learning, and Optimization for Big Data.
Prior to my Ph.D. studies, I earned an M.Phil. in Probability and Mathematical Statistics from Hong Kong Baptist University (2023), supervised by Prof. Tiejun Tong and Prof. Jingjin Wu. I also hold a B.Sc. in Financial Mathematics from Hong Kong Baptist University (2020).
Research Interests
Dimensionality Reduction
Sparse PCA and graph-regularized projection methods for high-dimensional data analysis.
Structure Learning
Adaptive graph learning and data-driven similarity estimation for complex structured data.
Multi-view Learning
Multimodal fusion across time series, spectra, images, and text for robust representation.
Optimization for Big Data
Efficient alternating minimization and scalable algorithms with convergence guarantees.
Feature Selection
Attention-based neural networks with unrolling strategies for unsupervised feature selection.
Clinical Applications
Multimodal EEG–bbNIRS fusion for early Alzheimer's disease screening and classification.