Yongzhen Wang

According to our database, Yongzhen Wang authored at least 26 papers between 2021 and 2025.

Collaborative distances:

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

2025

DA2Diff: Exploring Degradation-aware Adaptive Diffusion Priors for All-in-One Weather Restoration.

Jiamei Xiong, Xuefeng Yan, Yongzhen Wang, Wei Zhao, Xiao-Ping (Steven) Zhang, Mingqiang Wei

CoRR, April, 2025

RSHazeDiff: A Unified Fourier-Aware Diffusion Model for Remote Sensing Image Dehazing.

Jiamei Xiong, Xuefeng Yan, Yongzhen Wang, Wei Zhao, Xiao-Ping Zhang, Mingqiang Wei

IEEE Trans. Intell. Transp. Syst., January, 2025

Rethinking mixture of rain removal via depth-guided adversarial learning.

Yongzhen Wang, Xuefeng Yan, Yanbiao Niu, Lina Gong, Yanwen Guo, Mingqiang Wei

Neural Networks, 2025

2024

An improved sand cat swarm optimization for moving target search by UAV.

Yanbiao Niu, Xuefeng Yan, Yongzhen Wang, Yanzhao Niu

Expert Syst. Appl., March, 2024

UCL-Dehaze: Toward Real-World Image Dehazing via Unsupervised Contrastive Learning.

Yongzhen Wang, Xuefeng Yan, Fu Lee Wang, Haoran Xie, Wenhan Yang, Xiao-Ping Zhang, Jing Qin, Mingqiang Wei

IEEE Trans. Image Process., 2024

MFFDNet: Single Image Deraining via Dual-Channel Mixed Feature Fusion.

Wenyin Tao, Xuefeng Yan, Yongzhen Wang, Mingqiang Wei

IEEE Trans. Instrum. Meas., 2024

Low-FaceNet: Face Recognition-Driven Low-Light Image Enhancement.

Yihua Fan, Yongzhen Wang, Dong Liang, Yiping Chen, Haoran Xie, Fu Lee Wang, Jonathan Li, Mingqiang Wei

IEEE Trans. Instrum. Meas., 2024

Semi-UFormer: Semi-supervised Uncertainty-aware Transformer for Image Dehazing.

Ming Tong, Xuefeng Yan, Yongzhen Wang, Mingqiang Wei

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

USCFormer: Unified Transformer With Semantically Contrastive Learning for Image Dehazing.

Yongzhen Wang, Jiamei Xiong, Xuefeng Yan, Mingqiang Wei

IEEE Trans. Intell. Transp. Syst., October, 2023

Three-dimensional UCAV path planning using a novel modified artificial ecosystem optimizer.

Yanbiao Niu, Xuefeng Yan, Yongzhen Wang, Yanzhao Niu

Expert Syst. Appl., May, 2023

Three-dimensional collaborative path planning for multiple UCAVs based on improved artificial ecosystem optimizer and reinforcement learning.

Yanbiao Niu, Xuefeng Yan, Yongzhen Wang, Yanzhao Niu

Knowl. Based Syst., 2023

Joint Depth Estimation and Mixture of Rain Removal From a Single Image.

Yongzhen Wang, Xuefeng Yan, Yanbiao Niu, Lina Gong, Yanwen Guo, Mingqiang Wei

CoRR, 2023

RainDiffusion: When Unsupervised Learning Meets Diffusion Models for Real-world Image Deraining.

Mingqiang Wei, Yiyang Shen, Yongzhen Wang, Haoran Xie, Fu Lee Wang

CoRR, 2023

ISmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection.

Zhiheng Hu, Yongzhen Wang, Peng Li, Jie Qin, Haoran Xie, Mingqiang Wei

Proceedings of the IEEE International Conference on Acoustics, 2023

Adaptive Dehazing YOLO for Object Detection.

Kaiwen Zhang, Xuefeng Yan, Yongzhen Wang, Junchen Qi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022

TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning.

Yongzhen Wang, Xuefeng Yan, Kaiwen Zhang, Lina Gong, Haoran Xie, Fu Lee Wang, Mingqiang Wei

Comput. Graph. Forum, October, 2022

Contrastive Semantic-Guided Image Smoothing Network.

Jie Wang, Yongzhen Wang, Yidan Feng, Lina Gong, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Mingqiang Wei

Comput. Graph. Forum, October, 2022

Semi-MoreGAN: Semi-supervised Generative Adversarial Network for Mixture of Rain Removal.

Yiyang Shen, Yongzhen Wang, Mingqiang Wei, Honghua Chen, Haoran Xie, Gary Cheng, Fu Lee Wang

Comput. Graph. Forum, October, 2022

Dynamic opposite learning enhanced artificial ecosystem optimizer for IIR system identification.

Yanbiao Niu, Xuefeng Yan, Yongzhen Wang, Yanzhao Niu

J. Supercomput., 2022

Cycle-SNSPGAN: Towards Real-World Image Dehazing via Cycle Spectral Normalized Soft Likelihood Estimation Patch GAN.

Yongzhen Wang, Xuefeng Yan, Donghai Guan, Mingqiang Wei, Yiping Chen, Xiao-Ping Zhang, Jonathan Li

IEEE Trans. Intell. Transp. Syst., 2022

Detecting Occluded and Dense Trees in Urban Terrestrial Views With a High-Quality Tree Detection Dataset.

Yongzhen Wang, Xuefeng Yan, Hexiang Bao, Yiping Chen, Lina Gong, Mingqiang Wei, Jonathan Li

IEEE Trans. Geosci. Remote. Sens., 2022

An adaptive neighborhood-based search enhanced artificial ecosystem optimizer for UCAV path planning.

Yanbiao Niu, Xuefeng Yan, Yongzhen Wang, Yanzhao Niu

Expert Syst. Appl., 2022

Semi-UFormer: Semi-supervised Uncertainty-aware Transformer for Image Dehazing.

Ming Tong, Yongzhen Wang, Peng Cui, Xuefeng Yan, Mingqiang Wei

CoRR, 2022

UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning.

Yongzhen Wang, Xuefeng Yan, Fu Lee Wang, Haoran Xie, Wenhan Yang, Mingqiang Wei, Jing Qin

CoRR, 2022

Semi-MoreGAN: A New Semi-supervised Generative Adversarial Network for Mixture of Rain Removal.

Yiyang Shen, Yongzhen Wang, Mingqiang Wei, Honghua Chen, Haoran Xie, Gary Cheng, Fu Lee Wang

CoRR, 2022

2021

Research on GPU parallel algorithm for direct numerical solution of two-dimensional compressible flows.

Yongzhen Wang, Xuefeng Yan, Jun-an Zhang

J. Supercomput., 2021