Min Wang

According to our database, Min Wang authored at least 23 papers between 2016 and 2025.

Collaborative distances:

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

2025

Fine-grained visual classification network based on dual-branch feature extraction and multi-feature fusion.

Bin Xiao, Yufei Cheng, Xing Lu, Yan-Xue Wu, Min Wang, Xingpeng Zhang

Appl. Intell., October, 2025

FCAFormer: multivariate time series forecasting combining channel attention and transformer in the frequency domain.

Bin Xiao, Zehao Ge, Xingpeng Zhang, Min Wang, Zheng Chen, Zhou Yang, Yan-Xue Wu

J. Supercomput., July, 2025

Deep Active Learning for Image Hierarchical Classification by Introducing Dependencies and Constraints Between Classes.

Yan-Xue Wu, Min Wang, Fan Min, Qi Wang, Zhi-Heng Zhang, Haoyu Zhang, Xiangbing Zhou

IEEE Trans. Syst. Man Cybern. Syst., June, 2025

Multistage decomposition transformer network for predicting complex long time series of heavy oil parameters.

Xingpeng Zhang, Hongwei Liu, Bin Xiao, Min Wang, Bing Wang

Appl. Intell., May, 2025

DFF-Net: Dynamic feature fusion network for time series prediction.

Bin Xiao, Zheng Chen, Yan-Xue Wu, Min Wang, Shengtong Hu, Xingpeng Zhang

Int. J. Approx. Reason., 2025

Optimizing for the Shortest Path in Denoising Diffusion Model.

Ping Chen, Xingpeng Zhang, Zhaoxiang Liu, Huan Hu, Xiang Liu, Kai Wang, Min Wang, Yanlin Qian, Shiguo Lian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Open set transfer learning through distribution driven active learning.

Min Wang, Ting Wen, Xiao-Yu Jiang, An-An Zhang

Pattern Recognit., February, 2024

2023

Discover unknown fault categories through active query evidence model.

Min Wang, Xiaoyu Jiang, Ting Wen, Nengji Jiang

Appl. Intell., November, 2023

Fine-Grained Visual Categorization: A Spatial-Frequency Feature Fusion Perspective.

Min Wang, Peng Zhao, Xin Lu, Fan Min, Xizhao Wang

IEEE Trans. Circuits Syst. Video Technol., June, 2023

Open world long-tailed data classification through active distribution optimization.

Min Wang, Lei Zhou, Qian Li, Anan Zhang

Expert Syst. Appl., March, 2023

Cost-Sensitive Active Learning for Incomplete Data.

Min Wang, Chunyu Yang, Fei Zhao, Fan Min, Xizhao Wang

IEEE Trans. Syst. Man Cybern. Syst., 2023

2022

Attribute and label distribution driven multi-label active learning.

Min Wang, Tingting Feng, Zhaohui Shan, Fan Min

Appl. Intell., 2022

2021

Noise label learning through label confidence statistical inference.

Min Wang, Hong-Tian Yu, Fan Min

Knowl. Based Syst., 2021

2020

A two-stage density clustering algorithm.

Min Wang, Ying-Yi Zhang, Fan Min, Li-ping Deng, Lei Gao

Soft Comput., 2020

Three-way active learning through clustering selection.

Fan Min, Shi-Ming Zhang, Davide Ciucci, Min Wang

Int. J. Mach. Learn. Cybern., 2020

Active learning through label error statistical methods.

Min Wang, Ke Fu, Fan Min, Xiuyi Jia

Knowl. Based Syst., 2020

Ensemble active imputation for incomplete data.

Min Wang, Binqian Li, Fan Min, Jiaxue Liu, Manlong Wang

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2019

Cost-sensitive active learning through statistical methods.

Min Wang, Yao Lin, Fan Min, Dun Liu

Inf. Sci., 2019

Cost-sensitive active learning with a label uniform distribution model.

Yan-Xue Wu, Xue-Yang Min, Fan Min, Min Wang

Int. J. Approx. Reason., 2019

Active Learning Through Multi-Standard Optimization.

Min Wang, Ying-Yi Zhang, Fan Min

IEEE Access, 2019

2018

Active learning through two-stage clustering.

Min Wang, Ke Fu, Fan Min

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Active learning through density clustering.

Min Wang, Fan Min, Zhi-Heng Zhang, Yan-Xue Wu

Expert Syst. Appl., 2017

2016

Discovering Patterns With Weak-Wildcard Gaps.

Chaodong Tan, Fan Min, Min Wang, Heng-Ru Zhang, Zhi-Heng Zhang

IEEE Access, 2016