Minimal Attribute Space Bias for Attribute Reduction. - Fan Min 001; Xianghui Du; Hang Qiu 002; Qihe Liu (RSKT, 2007)

An Object-Oriented Graphics Engine. - Hang Qiu 002; Leiting Chen (CSSE (2), 2008)

Real-Time Shadow Research in Virtual Environment with Higher Complexity and Larger Shadow Regions. - Ke Zeng; Jianzhong Zhang; Hang Qiu 002 (PACIIA (1), 2008)

Dynamic Simulation of Grass Field Swaying in Wind. - Hang Qiu 002; Leiting Chen; Jim X. Chen; Yugang Liu (J. Softw., 2012)

Detail-Enhanced Multimodal Medical Image Fusion. - Guocheng Yang; Leiting Chen; Hang Qiu 002 (CSE, 2014)

Deep Semantics-Preserving Hashing Based Skin Lesion Image Retrieval. - Xiaorong Pu; Yan Li; Hang Qiu 002; Yinhui Sun (ISNN (2), 2017)

Low-Dose CT Image Blind Denoising with Graph Convolutional Networks. - Kecheng Chen; Xiaorong Pu; Yazhou Ren 001; Hang Qiu 002; Haoliang Li; Jiayu Sun (ICONIP (1), 2020)

A Stacking Ensemble Model to Predict Daily Number of Hospital Admissions for Cardiovascular Diseases. - Zhixu Hu; Hang Qiu 002; Ziqi Su; Minghui Shen; Ziyu Chen (IEEE Access, 2020)

Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure. - Hang Qiu 002; Lin Luo; Ziqi Su; Li Zhou; Liya Wang; Yucheng Chen 003 (BMC Medical Informatics Decis. Mak., 2020)

A stacking-based model for predicting 30-day all-cause hospital readmissions of patients with acute myocardial infarction. - Zhen Zhang; Hang Qiu 002; Weihao Li; Yucheng Chen 003 (BMC Medical Informatics Decis. Mak., 2020)

Machine learning based early mortality prediction in the emergency department. - Cong Li; Zhuo Zhang 007; Yazhou Ren 001; Hu Nie; Yuqing Lei; Hang Qiu 002; Zenglin Xu; Xiaorong Pu (Int. J. Medical Informatics, 2021)

Early prediction of high-cost inpatients with ischemic heart disease using network analytics and machine learning. - Ping Yang; Hang Qiu 002; Liya Wang; Li Zhou (Expert Syst. Appl., 2022)

Constrained optimization for stratified treatment rules with multiple responses of survival data. - Shixin Huang; Xiaoyu Wan; Hang Qiu 002; Laquan Li; Haiyan Yu (Inf. Sci., 2022)

Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission. - Zhixu Hu; Hang Qiu 002; Liya Wang; Minghui Shen (BMC Medical Informatics Decis. Mak., 2022)

TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation. - Kecheng Chen; Xiaorong Pu; Yazhou Ren 001; Hang Qiu 002; Fanqiang Lin; Saimin Zhang (IEEE Trans. Geosci. Remote. Sens., 2022)

Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning. - Xiaoya Lu; Hang Qiu 002 (BMC Medical Informatics Decis. Mak., 2023)

Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning. - Dejia Zhou; Hang Qiu 002; Liya Wang; Minghui Shen (BMC Medical Informatics Decis. Mak., 2023)

MMGCN: Multi-modal multi-view graph convolutional networks for cancer prognosis prediction. - Ping Yang; Wengxiang Chen; Hang Qiu 002 (Comput. Methods Programs Biomed., 2024)

SAGL: A self-attention-based graph learning framework for predicting survival of colorectal cancer patients. - Ping Yang; Hang Qiu 002; Xulin Yang; Liya Wang; Xiaodong Wang (Comput. Methods Programs Biomed., 2024)

DCNeT: A disease comorbidity network-based temporal deep learning framework to predict cardiovascular risk in patients with mental disorders. - Hang Qiu 002; Ping Yang; Liya Wang (Expert Syst. Appl., 2024)

Personalized algorithmic pricing decision support tool for health insurance: The case of stratifying gestational diabetes mellitus into two groups. - Haiyan Yu; Saeed Piri; Hang Qiu 002; Renying Xu; Hongxia Miao (Inf. Manag., 2024)

Multimodal representation learning with hierarchical knowledge decomposition for cancer survival analysis. - Xulin Yang; Hang Qiu 002 (Neurocomputing, 2025)

Deep Gated Neural Network With Self-Attention Mechanism for Survival Analysis. - Xulin Yang; Hang Qiu 002 (IEEE J. Biomed. Health Informatics, 2025)

HCLGT-DRP: Hypergraph contrastive learning and graph transformer for drug response prediction. - Wen Zhang; Hang Qiu 002 (Expert Syst. Appl., 2026)