A predictive model of clinical deterioration among hospitalized COVID-19 patients by harnessing hospital course trajectories. - Elizabeth Mauer; Jihui Lee; Justin Choi; Hongzhe Zhang; Katherine L. Hoffman; Imaani J. Easthausen; Mangala Rajan; Mark G. Weiner; Rainu Kaushal; Monika M. Safford; Peter A. D. Steel; Samprit Banerjee (J. Biomed. Informatics, 2021)

Cheaper Is Better: Exploring Price Competitiveness for Online Purchase Prediction. - Han Wu; Hongzhe Zhang; Liangyue Li; Zulong Chen; Fanwei Zhu; Xiao Fang (ICDE, 2022)

Hyperspectral Image Classification Based on Masked Self-Supervisied Pretraining Network. - Hongzhe Zhang; Shou Feng; Xueqing Wang; JianFei Liu; Boao Qin; HaiYang Zhong (IGARSS, 2023)

Scene-Level Matching Between Remote Sensing Optical and SAR Images. - Haiyang Zhong; Yiming Yan; Guihua Gu; Nan Su 001; Hongzhe Zhang (IGARSS, 2023)

Hybrid Spectral-Spatial Convolutional Network and Transformer with Mixup Regularization for Hyperspectral Image Classification. - Boao Qin; Chunhui Zhao 003; Shou Feng; Maoyang Chen; Hongzhe Zhang; Bobo Xi (WHISPERS, 2023)

Transfer Learning with Random Coefficient Ridge Regression. - Hongzhe Zhang; Hongzhe Li (CoRR, 2023)

Bias of AI-Generated Content: An Examination of News Produced by Large Language Models. - Xiao Fang; Shangkun Che; Minjia Mao; Hongzhe Zhang; Ming Zhao; Xiaohang Zhao (CoRR, 2023)

Exploring unsupervised multivariate time series representation learning for chronic disease diagnosis. - Xu Zhang 026; Yaming Wang; Liang Zhang 031; Bo Jin 001; Hongzhe Zhang (Int. J. Data Sci. Anal., 2023)

Research on Mathematical Model Construction and Tooth Profile Modification of Internal Gear with High Contact Ratio. - Hongzhe Zhang; Shuo Deng; Shaoying Ren; Jinlong Wang; Yongjie Bao (ACIRS, 2024)

Semisupervised score based matching algorithm to evaluate the effect of public health interventions. - Hongzhe Zhang; Jiasheng Shi; Jing Huang 021 (CoRR, 2024)

Proactive Resource Request for Disaster Response: A Deep Learning-Based Optimization Model. - Hongzhe Zhang; Xiaohang Zhao; Xiao Fang; Bintong Chen (Inf. Syst. Res., 2024)

Cross-Domain Few-Shot Learning Based on Decoupled Knowledge Distillation for Hyperspectral Image Classification. - Shou Feng; Hongzhe Zhang; Bobo Xi; Chunhui Zhao 003; Yunsong Li; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyperspectral Image Classification on Large-Scale Agricultural Crops: The Heilongjiang Benchmark Dataset, Validation Procedure, and Baseline Results. - Hongzhe Zhang; Shou Feng; Di Wu; Chunhui Zhao 003; Xi Liu; Yuan Zhou; Shengnan Wang; Hongtao Deng; Shuang Zheng (Remote. Sens., 2024)

Enhancing Human Pose Estimation in Internet of Things via Diffusion Generative Models. - Sifan Wu 001; Hongzhe Zhang; Zhenguang Liu; Haipeng Chen 002; Yingying Jiao (IEEE Internet Things J., 2025)

Transfer learning via Regularized Linear Discriminant Analysis. - Hongzhe Zhang; Arnab Auddy; Hongzhe Lee (CoRR, 2025)