Rongqiang Zhao

According to our database, Rongqiang Zhao authored at least 29 papers between 2015 and 2026.

Collaborative distances:

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

2026

IT-OSE: Exploring Optimal Sample Size For Industrial Data Augmentation.

Mingchun Sun, Rongqiang Zhao, Zhennan Huang, Songyu Ding, Jie Liu

IEEE Trans. Ind. Informatics, June, 2026

IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation.

Mingchun Sun, Rongqiang Zhao, Muhammad Abdul Munnaf, Jie Liu

CoRR, May, 2026

Distill, Diffuse, and Semanticize (DDS): Annotation-Free 3D Scene Understanding Based on Multi-Granularity Distillation and Graph-Diffusion-Based Segmentation.

Yijing Wang, Ruonan Li, Qilin Wang, Rongqiang Zhao, Jie Liu

CoRR, May, 2026

Dual-Interaction Spatiotemporal Fusion Network for Agricultural Remote Sensing Imagery.

Minghua Wang, Bo Shang, Jing Yao, Rongqiang Zhao, Xin Zhao

IEEE J. Sel. Top. Signal Process., March, 2026

Feature Recalibration Based Olfactory-Visual Multimodal Model for Fine-Grained Rice Deterioration Detection.

Rongqiang Zhao, Hengrui Hu, Yijing Wang, Mingchun Sun, Jie Liu

CoRR, February, 2026

2025

Dynamic SFC Deployment for SDN/NFV-Based Satellite-Terrestrial Integrated Vehicular Networks.

Dongbo Li, Ziqian Wang, Rongqiang Zhao, Hao Zhang, Zhisheng Yin, Nan Cheng, Jie Liu

IEEE Trans. Veh. Technol., December, 2025

DS-Diffusion: Data Style-Guided Diffusion Model for Time-Series Generation.

Mingchun Sun, Rongqiang Zhao, Hengrui Hu, Songyu Ding, Jie Liu

CoRR, September, 2025

Enhanced Potassium Ion Electrochemical Measurement Using Signals Augmentation and Crucial Features Focusing.

Mingchun Sun, Rongqiang Zhao, Jie Liu

IEEE Trans. Instrum. Meas., 2025

2024

DIVESPOT: Depth Integrated Volume Estimation of Pile of Things Based on Point Cloud.

Yiran Ling, Rongqiang Zhao, Yixuan Shen, Dongbo Li, Jing Jin, Jie Liu

CoRR, 2024

2023

Pixel-wise mechanical damage detection of waxy maize using spectral-spatial feature extraction and hyperspectral image.

Fengshuang Liu, Jun Fu, Rongqiang Zhao

Comput. Electron. Agric., June, 2023

2022

Tensor Dictionary Self-Taught Learning Classification Method for Hyperspectral Image.

Fengshuang Liu, Jun Fu, Qiang Wang, Rongqiang Zhao

Remote. Sens., 2022

Low-rank-constraint-based machine vision algorithm for chaffer-sieve-clogging recognition of corn harvester.

Rongqiang Zhao, Jun Fu, Zhi Chen, Lei Tian, Luquan Ren

Comput. Electron. Agric., 2022

2020

Exploiting Block-Sparsity for Hyperspectral Kronecker Compressive Sensing: A Tensor-Based Bayesian Method.

Rongqiang Zhao, Qiang Wang, Jun Fu, Luquan Ren

IEEE Trans. Image Process., 2020

Online Measuring and Size Sorting for Perillae Based on Machine Vision.

Bo Zhao, Ye Wang, Jun Fu, Rongqiang Zhao, Yashuo Li, Xin Dong, Chengxu Lv, Hanlu Jiang

J. Sensors, 2020

Accurate Variable Control System for Boom Sprayer Based on Auxiliary Antidrift System.

Jun Fu, Chao Chen, Rongqiang Zhao, Luquan Ren

J. Sensors, 2020

2019

Learning Separable Dictionaries for Sparse Tensor Representation: An Online Approach.

Rongqiang Zhao, Qiang Wang

IEEE Trans. Circuits Syst. II Express Briefs, 2019

Strategy for Accelerating Multiway Greedy Compressive Sensing Reconstruction.

Rongqiang Zhao, Jun Fu, Luquan Ren, Qiang Wang

IEEE Signal Process. Lett., 2019

Clustering K-SVD for sparse representation of images.

Jun Fu, Haikuo Yuan, Rongqiang Zhao, Luquan Ren

EURASIP J. Adv. Signal Process., 2019

Atom-Refined Multiway Greedy Algorithm for Tensor-Based Compressive Sensing.

Rongqiang Zhao, Jun Fu, Luquan Ren, Qiang Wang

IEEE Access, 2019

Adaptive Multilayered Dictionary Learning for Compressive-Sensing-Based Image Reconstruction.

Jun Fu, Haikuo Yuan, Rongqiang Zhao, Luquan Ren

IEEE Access, 2019

Adaptive Sparse Representation for Kronecker Compressive Sensing.

Rongqiang Zhao, Qiang Wang, Xiang Ma, Zhihong Qian

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

2018

Online dictionary self-taught learning for hyperspectral image classification.

Fengshuang Liu, Jiachen Ma, Rongqiang Zhao, Qiang Wang

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

2017

Compressive hyperspectral imaging with spatial energy distribution information.

Rongqiang Zhao, Tong Zhao, Qiang Wang, Yi Shen, Jing Jin, Zhaojun Wu

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

Weighted singular value thresholding for sparse photoacoustic microscopy.

Minghua Wang, Xuan Liu, Qiang Wang, Mingjian Sun, Rongqiang Zhao, Zhaojun Wu

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

2016

Multidimensional dictionary learning algorithm for compressive sensing-based hyperspectral imaging.

Rongqiang Zhao, Qiang Wang, Yi Shen, Jia Li

J. Electronic Imaging, 2016

Selective Locking Tensor Orthogonal Matching Pursuit algorithm based on block sparsity for multidimensional compressive sensing.

Rongqiang Zhao, Qiang Wang, Yi Shen

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016

A sparse representation method of 2-D sensory data in wireless sensor networks.

Cuicui Lv, Qiang Wang, Wenjie Yan, Rongqiang Zhao, Jin-Ming Chen

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016

2015

Kronecker compressive sensing-based mechanism with fully independent sampling dimensions for hyperspectral imaging.

Rongqiang Zhao, Qiang Wang, Yi Shen

J. Electronic Imaging, 2015

Fast holo-kronecker compressive sensing for hyperspectral image.

Rongqiang Zhao, Qiang Wang, Yi Shen

Proceedings of the 10th International Conference on Communications and Networking in China, 2015