Cluster-Boosted Multi-Task Learning Framework for Survival Analysis. - Lu Wang 004; Mark H. Chignell; Haoyan Jiang; Nipon Charoenkitkarn (BIBE, 2020)

Discovering the Causal Structure of the Hamilton Rating Scale for Depression Using Causal Discovery. - Lu Wang 004; Mark H. Chignell; Haoyan Jiang; Sachinthya Lokuge; Geneva Mason; Kathryn Fotinos; Martin Katzman (BHI, 2021)

Prioritization of Multi-level Risk Factors, and Predicting Changes in Depression Ratings after Treatment Using Multi-Task Learning. - Lu Wang 004; Mark H. Chignell; Haoyan Jiang; Sachinthya Lokuge; Geneva Mason; Kathryn Fotinos; Martin Katzman (BIBM, 2021)

Hierarchical Clustering of Multi-Study Depression Data Yields Four Symptom Clusters. - Lu Wang 004; Mark H. Chignell; Haoyan Jiang; Sachinthya Lokuge; Geneva Mason; Kathryn Fotinos; Martin Katzman (BIBM, 2021)

MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis. - Lu Wang 004; Haoyan Jiang; Mark H. Chignell (CoRR, 2021)

Scenario Fidelity and Perceived Driver Mental Workload: Can Workload Assessment be Crowdsourced? - Haoyan Jiang; Sachi Mizobuchi; Mark H. Chignell (IAIT, 2023)

Discount Driver Mental Workload Assessment. - Haoyan Jiang; Sachi Mizobuchi; Mark H. Chignell (ICHMS, 2024)