Hongzhe Zhang

According to our database, Hongzhe Zhang authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Transfer learning via Regularized Linear Discriminant Analysis.

Hongzhe Zhang, Arnab Auddy, Hongzhe Lee

CoRR, January, 2025

Enhancing Human Pose Estimation in Internet of Things via Diffusion Generative Models.

Sifan Wu, Hongzhe Zhang, Zhenguang Liu, Haipeng Chen, Yingying Jiao

IEEE Internet Things J., 2025

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, Xi Liu, Yuan Zhou, Shengnan Wang, Hongtao Deng, Shuang Zheng

Remote. Sens., February, 2024

Cross-Domain Few-Shot Learning Based on Decoupled Knowledge Distillation for Hyperspectral Image Classification.

Shou Feng, Hongzhe Zhang, Bobo Xi, Chunhui Zhao, Yunsong Li, Jocelyn Chanussot

IEEE Trans. Geosci. Remote. Sens., 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

Semisupervised score based matching algorithm to evaluate the effect of public health interventions.

Hongzhe Zhang, Jiasheng Shi, Jing Huang

CoRR, 2024

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

Proceedings of the 9th Asia-Pacific Conference on Intelligent Robot Systems, 2024

2023

Exploring unsupervised multivariate time series representation learning for chronic disease diagnosis.

Xu Zhang, Yaming Wang, Liang Zhang, Bo Jin, Hongzhe Zhang

Int. J. Data Sci. Anal., March, 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

Transfer Learning with Random Coefficient Ridge Regression.

Hongzhe Zhang, Hongzhe Li

CoRR, 2023

Hybrid Spectral-Spatial Convolutional Network and Transformer with Mixup Regularization for Hyperspectral Image Classification.

Boao Qin, Chunhui Zhao, Shou Feng, Maoyang Chen, Hongzhe Zhang, Bobo Xi

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Scene-Level Matching Between Remote Sensing Optical and SAR Images.

Haiyang Zhong, Yiming Yan, Guihua Gu, Nan Su, Hongzhe Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Hyperspectral Image Classification Based on Masked Self-Supervisied Pretraining Network.

Hongzhe Zhang, Shou Feng, Xueqing Wang, JianFei Liu, Boao Qin, HaiYang Zhong

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Cheaper Is Better: Exploring Price Competitiveness for Online Purchase Prediction.

Han Wu, Hongzhe Zhang, Liangyue Li, Zulong Chen, Fanwei Zhu, Xiao Fang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

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