A Fair individualized polysocial risk score for identifying increased social risk in type 2 diabetes
Published in Nature Communications. (SCI/EI 2023 IF = 14.7)
CV
Education / Training
- Postdoc in Biomedical Informatics, University of Florida , 2024 (expected)
- Ph.D in Computer Science, National Yang Ming Chiao Tung University , 2022
- B.B.A. in Information Management, National Kaohsiung First University of Science and Technology, 2015
Awards
- Dissertation Award
- 2022 IICM Ph.D. Dissertation Award, Institute of Information & Computing Machinery
- 2022 IEEE Ph.D. Dissertation Award, IEEE CIS Taipei Chapter
- 2022 TAAI Ph.D. Dissertation Award, Taiwanese Association for Artificial Intelligence
- 2019 Best Student Paper Award Runner Up, Springer ADMA 2019
- Award of Outstanding Students
- 2021 National Yang Ming Chiao Tung University
- 2016 - 2020 National Chiao Tung University
- 2014 National Kaohsiung First University of Science and Technology
- Travelling Award
- 2019, PAKDD 2019 & MCEA Joint Travel Grants, Macao Convention & Exhibition Association
- 2017, International Travelling Award of MOST, Ministry of Science and Technology, R.O.C
Selected Publications
A scoping review of fair machine learning techniques when using real-world data
Published in Journal of Biomedical Informatics. (SCI/EI 2021 IF = 8.0)
Neural Network to Identifying Type 2 Diabetes (T2D) Progression Subphenotypes
Published in American Diabetes Association.
A novel constraint-based knee-guided neuroevolutionary algorithm for context-specific ECG early classification
Published in IEEE Journal of Biomedical and Health Informatics. (SCI/EI 2021 IF = 7.021)
Snippet policy network v2: Knee-guided neuroevolution for multi-lead ecg early classification
Published in IEEE Transactions on Neural Networks and Learning Systems. (SCI/EI 2021 IF = 14.255)
Spatio-attention embedded recurrent neural network for air quality prediction
Published in Knowledge-based Systems. (SCI/EI 2021 IF = 8.139)
Snippet policy network for multi-class varied-length ECG early classification
Published in IEEE Transactions on Knowledge and Data Engineering. (SCI/EI 2021 IF = 9.235)
Prenatal exposure to air pollutants and childhood atopic dermatitis and allergic rhinitis adopting machine learning approaches: 14-year follow-up birth cohort study
Published in Science of the Total Environment. (SCI/EI 2021 IF = 10.753)
Talks
Preconference Course: Artificial Intelligence for Pharmacoepidemiology Research: An Introduction (Types of machine learning methods and algorithms)
Talk at International Society for Pharmacoepidemiology, Mid-Year Meeting, Orlando, Florida
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D)
Talk at American Diabetes Association’s (ADA) 83rd Scientific Sessions, San Diego, California
Care coordination and patient safety outcome: a network study: Celebration of Research
Talk at University of Florida, Gainesville, Florida
Professional Services
- Journal Services
- IEEE Transactions on Artificial Intelligent (TAI)
- IEEE Transactions on Cybernetics (TCYB)
- IEEE Transactions on Evolutionary Computation (TEVC)
- IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
- IEEE Transactions on Intelligent Transportation Systems (T-ITS)
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Computational Intelligence Magazine (CIM)
- IEEE Journal of Biomedical and Health Informatics (JBHI)
- IEEE Internet of Things Journal (IoT-J)
- ACM Transactions on Intelligent Systems and Technology (TIST)
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- ACM Transactions on Management Information Systems (TMIS)
- Applied Intelligence
- Information Sciences
- Engineering Applications of Artificial Intelligence
- World Scientific Annual Review of Artificial Intelligence
- Journal of Clinical and Translational Science
- Conference Services (PC Member)
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) [2022,2023,2024,2025]
- AAAI Conference on Artificial Intelligence (AAAI) [2022,2023,2024,2025]
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) [2023,2024]
- International Conference on Advances in Social Networks Analysis and Mining [2024] (ASONAM)