

(Co-PI $53,333.33, PI, Di Niu - UAlberta)Ģ021 - 2021: Zipstall - On-line and Off-line Parking Availability Prediction, MITACS $30,000 (PI)Ģ021 - 2021: AI-Enabled Subnetwork Selection,, MITACS, $15,000 (PI)Ģ020 - 2021: A Principled Approach to Developing Machine Learning Models for the Synthesis of Robust Statistics and Quantile Regression: Multivariate, Functional, and Bayesian quantile regression, Depth-based methods, Robustness in neuroimaging data analysis, Robustness in machine learning and OptimizationĪrtificial Intelligence in Smart Health: Health data analysis and privacy, Multi-omics data integration, Precision medicine and dynamic treatment regime, EHR and healthcare streaming data analysisĢ022 - present: Guest Editor, Statistics and its interfaceĢ019 - present: Associate Editor, Journal of the American Statistical Association, Applications & Case StudiesĢ017 - present: Associate Editor, Canadian Journal of StatisticsĢ021 - 2022: Guest Associate Editor, Frontiers in Neurosciences,Ģ019 - 2021: Associate Editor, International Journal of Imaging Systems and TechnologyĢ019 - 2021: Guest Editor, Canadian Journal of Statistics,Ģ022 - 2027: Pyroptosis in the CNS: molecular mechanisms and therapeutic targets in progressive MS, CIHR $1,032,750 (Co-PI 103,275, PI Chris Power - UAlberta)Ģ022 - 2023: Frailty risk detection from primary care electronic medical records, MITACS $45,000 (PI)Ģ022 - 2022: Automatic Classification of Normal and Dysphagic Swallows Based on the sEMG Signals, MITACS $30,000 (PI)Ģ021 - 2022: Online Data Imputation by Modified Mixture Density Networks, MITACS $30,000 (PI)Ģ020 - 2022: High Dimensional Sampling in Reinforcement Learning and its Applications, HTCCL, $156,000 (PI)Ģ020 - 2023: BIAS: Responsible AI for Labour Market Equality, Canada-UK Artificial Intelligence Initiative, $460,000 (PI Co-PIs: Bei Jiang, Nicole Denier, Karen Hughes - U Alberta)Ģ020 - 2023: Distributional Reinforcement Learning: Theories and Applications, UAHIJIC, $202,500 (PI)Ģ018 - 2023: Novel Statistical Methods in Functional and Brain Imaging Data Analysis, NSERC-RGPIN, $205,000 (PI)Ģ021 - 2022: Indoor Virtual Tour and Virtual Object Display in 360 Degrees, MITACS, $213,333.33

Statistical Machine Learning: Variable screening, Sparse learning, Ensemble Learning, Dimension reduction, Adaptive learning, Predictive Learning, Online Learning, Deep learning and Reinforcement learning

Canada Research Chair in Statistical Learningĭepartment of Mathematical and Statistical SciencesĢ009: PhD in Statistics, University of Alberta, Edmonton, CanadaĢ002: MS in Statistics, Peking University, Beijing, Chinaġ999: BS in Probability and Statistics, Beijing Normal University, Beijing, Chinaįunctional and Neuroimaging Data Analysis: Varying coefficient model, Multiscale adaptive regression model, Imaging genetics, Connectivity Analysis, MRI, fMRI, and DTI data analysis
