Area of research
Computer Vision and Pattern Recognition · Computational Mechanics
Research interest
Research interests include Face and Expression Recognition, Sparse and Compressive Sensing Techniques, Transportation and Mobility Innovations, and Transportation Planning and Optimization.
Generalized biological foundation model with unified nucleic acid and protein language
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
Multi-task Representation Learning for Travel Time Estimation
ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide
Multi-source learning with block-wise missing data for Alzheimer's disease prediction
Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis
Tensor Completion for Estimating Missing Values in Visual Data
Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data
Matrix completion by Truncated Nuclear Norm Regularization
III: Small: Large-Scale Structured Sparse Learning
CAREER: Dimensionality Reduction for Multi-Label Classification
III: Small: Collaborative Research: Functional Network Discovery for Brain Connectivity
III: Small: Large-Scale Structured Sparse Learning
III: Small: Collaborative Research: Functional Network Discovery for Brain Connectivity
Multi-Source Visual Analytics
CAREER: Dimensionality Reduction for Multi-Label Classification
SEI: Machine Learning Approaches for Biological Image Informatics