Efficient Multi-Destinations Route Planning with Deadlines and Cost Constraints. - Yu Huang 018; Bo-Hau Lin; Vincent S. Tseng (MDM, 2017)

Mining Trending High Utility Itemsets from Temporal Transaction Databases. - Acquah Hackman; Yu Huang 018; Vincent S. Tseng (DEXA (2), 2018)

Mining Emerging High Utility Itemsets over Streaming Database. - Acquah Hackman; Yu Huang 018; Philip S. Yu; Vincent S. Tseng (ADMA, 2019)

DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition. - Meng-Chieh Lee; Yu Huang 018; Josh Jia-Ching Ying; Chien Chen; Vincent S. Tseng (ADMA, 2019)

Robust Sensor-based Human Activity Recognition with Snippet Consensus Neural Networks. - Yu Huang 018; Meng-Chieh Lee; Vincent S. Tseng; Ching-Jui Hsiao; Chi-Chiang Huang (BSN, 2019)

Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect. - Chih-Hsin Chou; Yu Huang 018; Chian-Yun Huang; Vincent S. Tseng (PAKDD (2), 2019)

PURL: Periodic User Representation Learning from Temporal Event Records for Personalized Health Management. - Yu Huang 018; Chih-Ling Hsu; Vincent S. Tseng (BigComp, 2020)

Stable High Utility Itemset Mining. - Acquah Hackman; Yu Huang 018; Philippe Fournier-Viger; Vincent S. Tseng (iiWAS, 2021)

Spatio-attention embedded recurrent neural network for air quality prediction. - Yu Huang 018; Josh Jia-Ching Ying; Vincent S. Tseng (Knowl. Based Syst., 2021)

Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints. - Yu Huang 018; Josh Jia-Ching Ying; Philip S. Yu; Vincent S. Tseng (ACM Trans. Knowl. Discov. Data, 2021)

IPreMom: a continual learning-based image rating framework for infant precious moments capturing. - Yu Huang 018; Ju-Hui Tseng; Ching-Jui Hsiao; Hui-Mei Hung; Vincent S. Tseng (SAC, 2022)

Periodic Attention-based Stacked Sequence to Sequence framework for long-term travel time prediction. - Yu Huang 018; Hao Dai; Vincent S. Tseng (Knowl. Based Syst., 2022)

A Novel Constraint-Based Knee- Guided Neuroevolutionary Algorithm for Context-Specific ECG Early Classification. - Yu Huang 018; Gary G. Yen; Vincent S. Tseng (IEEE J. Biomed. Health Informatics, 2022)

Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D). - Yu Huang 018; Jingchuan Guo; William T. Donahoo; Zhengkang Fan; Ying Lu; Wei-Han William Chen; Huilin Tang; Lori Bilello; Elizabeth A. Shenkman; Jiang Bian 001 (CoRR, 2023)

Continual learning with attentive recurrent neural networks for temporal data classification. - Shao-Yu Yin; Yu Huang 018; Tien-Yu Chang; Shih-Fang Chang; Vincent S. Tseng (Neural Networks, 2023)

Snippet Policy Network for Multi-Class Varied-Length ECG Early Classification. - Yu Huang 018; Gary G. Yen; Vincent S. Tseng (IEEE Trans. Knowl. Data Eng., 2023)

Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysis. - Zhenhao Zhang; Yuxi Liu; Meichen Xiao; Kun Wang; Yu Huang 018; Jiang Bian 001; Ruolin Yang 003; Fuyi Li (Briefings Bioinform., 2024)

Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data. - Aokun Chen; Qian Li 034; Yu Huang 018; Yongqiu Li; Yu-Neng Chuang; Xia Hu 001; Serena Guo; Yonghui Wu; Yi Guo 005; Jiang Bian 001 (CoRR, 2024)

A scoping review of fair machine learning techniques when using real-world data. - Yu Huang 018; Jingchuan Guo; Wei-Han William Chen; Hsin-Yueh Lin; Huilin Tang; Fei Wang 001; Hua Xu 001; Jiang Bian 001 (J. Biomed. Informatics, 2024)

Snippet Policy Network V2: Knee-Guided Neuroevolution for Multi-Lead ECG Early Classification. - Yu Huang 018; Gary G. Yen; Vincent S. Tseng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Machine Learning Prediction of Autism Spectrum Disorder Diagnosis Through Linking Mothers' and Children's Electronic Health Records. - Yongqiu Li; Yu Huang 018; Shuang Yang; Elahe M. Shychuk; Elizabeth A. Shenkman; Jiang Bian 001; Amber M. Angell; Yi Guo 005 (ICHI, 2025)

Variational temporal deconfounder network for individualized treatment effect estimation with longitudinal observational data. - Hao Dai; Yu Huang 018; Yuxi Liu; Xing He 003; Jingchuan Guo; Mattia Prosperi; Jiang Bian 001 (J. Biomed. Informatics, 2025)

Identifying progression subphenotypes of Alzheimer's disease from large-scale electronic health records with machine learning. - Manqi Zhou; Alice S. Tang; Hao Zhang; Zhenxing Xu; Alison M. C. Ke; Chang Su; Yu Huang 018; William G. Mantyh; Michael Jaffee; Katherine P. Rankin; Steven DeKosky; Jiayu Zhou; et al. (J. Biomed. Informatics, 2025)

COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data. - Qiong Wu; Jenna Marie Reps; Lu Li; Bingyu Zhang; Yiwen Lu; Jiayi Tong; Dazheng Zhang; Thomas Lumley; Milou T. Brand; Mui Van Zandt; Thomas Falconer; Xing He 003; et al. (npj Digit. Medicine, 2025)

Early Time Series Anomaly Prediction With Multi-Objective Optimization. - Ting-En Chao; Yu Huang 018; Hao Dai; Gary G. Yen; Vincent S. Tseng (IEEE Trans. Emerg. Top. Comput. Intell., 2025)