Xixuan Zhao

According to our database, Xixuan Zhao authored at least 18 papers between 2019 and 2026.

Collaborative distances:

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

2026

A three-way efficacy prediction method fusing temporal composite rough set and hybrid machine learning models on multigranulation temporal hybrid attribute information system.

Xixuan Zhao, Bingzhen Sun, Jin Ye, Jiqian Liu, Xinfang Zhang, Haoran Sun, Xiaoli Chu

Inf. Process. Manag., 2026

2025

A hybrid diversited attribute group decision-making method based on non-additive measure entropy weight and multi-granularity generalized fuzzy rough set with application in medical diagnosis.

Xinfang Zhang, Xiangtang Chen, Bingzhen Sun, Xixuan Zhao, Xiaoli Chu, Jianxiong Cai

Int. J. Mach. Learn. Cybern., June, 2025

A three-way efficacy evaluation approach with attribute reduction based on weighted temporal fuzzy rough sets.

Jin Ye, Bingzhen Sun, Xixuan Zhao, Xiaoli Chu

Inf. Sci., 2025

HCSSIR: Hash Code Selection-Based Secure Image Retrieval in a Blockchain Environment.

Tianyu Han, Jiangming Kan, Ruifang Dong, Xixuan Zhao, Shun Yao

IEEE Internet Things J., 2025

Dynamic decision-making paradigm for multi-modal information in a human-computer interaction perspective: Fusing composite rough set and incremental learning.

Bingzhen Sun, Xixuan Zhao, Yuhua Qian, Xiaoli Chu

Inf. Fusion, 2025

A hybrid machine learning and three-way soft clustering integrated decision-making method with incomplete multi-source heterogeneous attribute information.

Xixuan Zhao, Bingzhen Sun, Xiaodong Chu, Jin Ye, Xiaoli Chu

Int. J. Approx. Reason., 2025

A decision-making approach under uncertainty based on ensemble learning model with multimodal data and its application in medical diagnosis.

Xixuan Zhao, Bingzhen Sun, Xiaoli Chu, Darong Wu, Guli Jiang, Hui Zhou, Jianxiong Cai

Expert Syst. Appl., 2025

Hybrid deep-learning prediction model based on kernel multi-granularity fuzzy rough sets and its application in the diagnosis and treatment of chronic kidney disease.

Jiqian Liu, Bingzhen Sun, Jin Ye, Xixuan Zhao, Xiaoli Chu

Eng. Appl. Artif. Intell., 2025

2024

Defocus blur detection based on transformer and complementary residual learning.

Shuyao Chai, Xixuan Zhao, Jiaming Zhang, Jiangming Kan

Multim. Tools Appl., May, 2024

A Point Cloud Registration Framework with Color Information Integration.

Tianyu Han, Ruijie Zhang, Jiangming Kan, Ruifang Dong, Xixuan Zhao, Shun Yao

Remote. Sens., March, 2024

A new short-term wind power prediction methodology based on linear and nonlinear hybrid models.

Xixuan Zhao, Bingzhen Sun, Ning Wu, Ru Zeng, Ruibin Geng, Zhengxu He

Comput. Ind. Eng., 2024

A Restoration Method Based on Color Compensation and Depth Prior Using a Revised Underwater Imaging Model.

Xixuan Zhao, Jingchuan Zuo, Hao Wu, Tongrong Qi, Ning Liu

Proceedings of the Artificial Intelligence and Robotics - 9th International Symposium, 2024

GD-RRT*: An Improved RRT* Path Planning Algorithm Combining Gaussian Distributed Sampling and Depth Strategy for Fruit-Picking Robot.

Xixuan Zhao, Kuan Wang, Pengyu Zhang, Ning Liu, Jiangming Kan

Proceedings of the Artificial Intelligence and Robotics - 9th International Symposium, 2024

2022

Boosting denoisers with reinforcement learning for image restoration.

Jie Zhang, Qiyuan Zhang, Xixuan Zhao, Jiangming Kan

Soft Comput., 2022

An end-to-end single image dehazing network based on U-net.

Yu Miao, Xixuan Zhao, Jiangming Kan

Signal Image Video Process., 2022

2021

Performance Evaluation of Color Descriptors under Illumination Variation.

Danyu Sun, Xixuan Zhao, Jiangming Kan

J. Sensors, 2021

2019

Motion blur image deblurring using edge-based color patches.

Xixuan Zhao, Jiangming Kan

Turkish J. Electr. Eng. Comput. Sci., 2019

Fine-Grained Diabetic Wound Depth and Granulation Tissue Amount Assessment Using Bilinear Convolutional Neural Network.

Xixuan Zhao, Ziyang Liu, Emmanuel Agu, Ameya Wagh, Shubham Jain, Clifford Lindsay, Bengisu Tulu, Diane M. Strong, Jiangming Kan

IEEE Access, 2019