Yu Huang

30 papers B 1C 4Misc 1Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cerebra: A Multidisciplinary AI Board for Multimodal Dementia Characterization and Risk Assessment.
CoRR
Sheng Liu, Long Chen, Zeyun Zhao, Qinglin Gou, Qingyue Wei, Arjun Masurkar, Kevin M. Spiegler, Philip Kuball, Stefania C. Bray, Megan Bernath, Deanna R. Willis, Jiang Bian, Lei Xing, Eric Topol, Kyunghyun Cho, Yu Huang, Ruogu Fang, Narges Razavian, James Zou
2025 J jnl
COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data.
npj Digit. Medicine
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, Yu Huang, Haoyang Li, Chao Yan, Guojun Tang, Andrew E. Williams, Fei Wang, Jiang Bian, Bradley A. Malin, George Hripcsak, Martijn J. Schuemie, Yun Lu, Steve Drew, Jiayu Zhou, David A. Asch, Yong Chen
2025 — conf
Clinical Trial Eligibility Criteria Decomposition and Parsing with Large Language Models.
MedInfo
Hongyu Chen, Lingfei Qian, Xing He, Aokun Chen, Yu Huang, Qinling Gou, Yuxuan Wang, Yan Wang, Xuguang Ai, Yujia Zhou, Inessa Cohen, Qingyu Chen, Hua Xu, Jiang Bian
2025 J jnl
Early Time Series Anomaly Prediction With Multi-Objective Optimization.
IEEE Trans. Emerg. Top. Comput. Intell.
Ting-En Chao, Yu Huang, Hao Dai, Gary G. Yen, Vincent S. Tseng
2025 J jnl
From image to report: automating lung cancer screening interpretation and reporting with vision-language models.
J. Biomed. Informatics
Tien-Yu Chang, Qinglin Gou, Leyi Zhao, Tiancheng Zhou, Hongyu Chen, Dong Yang, Huiwen Ju, Kaleb E. Smith, Chengkun Sun, Jinqian Pan, Yu Huang, Xing He, Xuhong Zhang, Daguang Xu, Jie Xu, Jiang Bian, Aokun Chen
2025 J jnl
Identifying progression subphenotypes of Alzheimer's disease from large-scale electronic health records with machine learning.
J. Biomed. Informatics
Manqi Zhou, Alice S. Tang, Hao Zhang, Zhenxing Xu, Alison M. C. Ke, Chang Su, Yu Huang, William G. Mantyh, Michael Jaffee, Katherine P. Rankin, Steven DeKosky, Jiayu Zhou, Yi Guo, Jiang Bian, Marina Sirota, Fei Wang
2025 — conf
Machine Learning Prediction of Autism Spectrum Disorder Diagnosis Through Linking Mothers' and Children's Electronic Health Records.
ICHI
Yongqiu Li, Yu Huang, Shuang Yang, Elahe M. Shychuk, Elizabeth A. Shenkman, Jiang Bian, Amber M. Angell, Yi Guo
2025 J jnl
Temporally Detailed Hypergraph Neural ODEs for Type 2 Diabetes Progression Modeling.
CoRR
Tingsong Xiao, Yao An Lee, Zelin Xu, Yupu Zhang, Zibo Liu, Yu Huang, Jiang Bian, Serena Jingchuan Guo, Zhe Jiang
2025 J jnl
Variational temporal deconfounder network for individualized treatment effect estimation with longitudinal observational data.
J. Biomed. Informatics
Hao Dai, Yu Huang, Yuxi Liu, Xing He, Jingchuan Guo, Mattia Prosperi, Jiang Bian
2024 J jnl
A scoping review of fair machine learning techniques when using real-world data.
J. Biomed. Informatics
Yu Huang, Jingchuan Guo, Wei-Han William Chen, Hsin-Yueh Lin, Huilin Tang, Fei Wang, Hua Xu, Jiang Bian
2024 J jnl
Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data.
CoRR
Aokun Chen, Qian Li, Yu Huang, Yongqiu Li, Yu-Neng Chuang, Xia Hu, Serena Guo, Yonghui Wu, Yi Guo, Jiang Bian
2024 J jnl
Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysis.
Briefings Bioinform.
Zhenhao Zhang, Yuxi Liu, Meichen Xiao, Kun Wang, Yu Huang, Jiang Bian, Ruolin Yang, Fuyi Li
2024 J jnl
Snippet Policy Network V2: Knee-Guided Neuroevolution for Multi-Lead ECG Early Classification.
IEEE Trans. Neural Networks Learn. Syst.
Yu Huang, Gary G. Yen, Vincent S. Tseng
2023 J jnl
Continual learning with attentive recurrent neural networks for temporal data classification.
Neural Networks
Shao-Yu Yin, Yu Huang, Tien-Yu Chang, Shih-Fang Chang, Vincent S. Tseng
2023 J jnl
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D).
CoRR
Yu Huang, Jingchuan Guo, William T. Donahoo, Zhengkang Fan, Ying Lu, Wei-Han William Chen, Huilin Tang, Lori Bilello, Elizabeth A. Shenkman, Jiang Bian
2023 J jnl
Snippet Policy Network for Multi-Class Varied-Length ECG Early Classification.
IEEE Trans. Knowl. Data Eng.
Yu Huang, Gary G. Yen, Vincent S. Tseng
2022 J jnl
A Novel Constraint-Based Knee- Guided Neuroevolutionary Algorithm for Context-Specific ECG Early Classification.
IEEE J. Biomed. Health Informatics
Yu Huang, Gary G. Yen, Vincent S. Tseng
2022 Misc conf
IPreMom: a continual learning-based image rating framework for infant precious moments capturing.
SAC
Yu Huang, Ju-Hui Tseng, Ching-Jui Hsiao, Hui-Mei Hung, Vincent S. Tseng
2022 J jnl
Periodic Attention-based Stacked Sequence to Sequence framework for long-term travel time prediction.
Knowl. Based Syst.
Yu Huang, Hao Dai, Vincent S. Tseng
2021 J jnl
Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints.
ACM Trans. Knowl. Discov. Data
Yu Huang, Josh Jia-Ching Ying, Philip S. Yu, Vincent S. Tseng
2021 J jnl
Snippet Policy Network for Multi-class Varied-length ECG Early Classification.
CoRR
Yu Huang, Gary G. Yen, Vincent S. Tseng
2021 J jnl
Spatio-attention embedded recurrent neural network for air quality prediction.
Knowl. Based Syst.
Yu Huang, Josh Jia-Ching Ying, Vincent S. Tseng
2021 C conf
Stable High Utility Itemset Mining.
iiWAS
Acquah Hackman, Yu Huang, Philippe Fournier-Viger, Vincent S. Tseng
2020 — conf
PURL: Periodic User Representation Learning from Temporal Event Records for Personalized Health Management.
BigComp
Yu Huang, Chih-Ling Hsu, Vincent S. Tseng
2019 C conf
DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition.
ADMA
Meng-Chieh Lee, Yu Huang, Josh Jia-Ching Ying, Chien Chen, Vincent S. Tseng
2019 — conf
Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect.
PAKDD (2)
Chih-Hsin Chou, Yu Huang, Chian-Yun Huang, Vincent S. Tseng
2019 C conf
Mining Emerging High Utility Itemsets over Streaming Database.
ADMA
Acquah Hackman, Yu Huang, Philip S. Yu, Vincent S. Tseng
2019 C conf
Robust Sensor-based Human Activity Recognition with Snippet Consensus Neural Networks.
BSN
Yu Huang, Meng-Chieh Lee, Vincent S. Tseng, Ching-Jui Hsiao, Chi-Chiang Huang
2018 — conf
Mining Trending High Utility Itemsets from Temporal Transaction Databases.
DEXA (2)
Acquah Hackman, Yu Huang, Vincent S. Tseng
2017 B conf
Efficient Multi-Destinations Route Planning with Deadlines and Cost Constraints.
MDM
Yu Huang, Bo-Hau Lin, Vincent S. Tseng