Haoyan Jiang

According to our database, Haoyan Jiang authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Discount Driver Mental Workload Assessment.

Haoyan Jiang, Sachi Mizobuchi, Mark H. Chignell

Proceedings of the 4th IEEE International Conference on Human-Machine Systems, 2024

2023

Scenario Fidelity and Perceived Driver Mental Workload: Can Workload Assessment be Crowdsourced?

Haoyan Jiang, Sachi Mizobuchi, Mark H. Chignell

Proceedings of the 13th International Conference on Advances in Information Technology, 2023

2021

MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis.

Lu Wang, Haoyan Jiang, Mark H. Chignell

CoRR, 2021

Hierarchical Clustering of Multi-Study Depression Data Yields Four Symptom Clusters.

Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Prioritization of Multi-level Risk Factors, and Predicting Changes in Depression Ratings after Treatment Using Multi-Task Learning.

Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Discovering the Causal Structure of the Hamilton Rating Scale for Depression Using Causal Discovery.

Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

Cluster-Boosted Multi-Task Learning Framework for Survival Analysis.

Lu Wang, Mark H. Chignell, Haoyan Jiang, Nipon Charoenkitkarn

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020