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)

Motion blur image deblurring using edge-based color patches. - Xixuan Zhao; Jiangming Kan (Turkish J. Electr. Eng. Comput. Sci., 2019)

Performance Evaluation of Color Descriptors under Illumination Variation. - Danyu Sun; Xixuan Zhao; Jiangming Kan (J. Sensors, 2021)

An end-to-end single image dehazing network based on U-net. - Yu Miao; Xixuan Zhao; Jiangming Kan (Signal Image Video Process., 2022)

Boosting denoisers with reinforcement learning for image restoration. - Jie Zhang; Qiyuan Zhang; Xixuan Zhao; Jiangming Kan (Soft Comput., 2022)

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 (ISAIR (2), 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 (ISAIR (2), 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 Point Cloud Registration Framework with Color Information Integration. - Tianyu Han; Ruijie Zhang; Jiangming Kan; Ruifang Dong; Xixuan Zhao; Shun Yao (Remote. Sens., 2024)

Defocus blur detection based on transformer and complementary residual learning. - Shuyao Chai; Xixuan Zhao; Jiaming Zhang; Jiangming Kan (Multim. Tools Appl., 2024)

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 005; Xixuan Zhao; Xiaoli Chu (Eng. Appl. Artif. Intell., 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)

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 005; Xiaoli Chu (Int. J. Approx. Reason., 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)

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)

A three-way efficacy evaluation approach with attribute reduction based on weighted temporal fuzzy rough sets. - Jin Ye 005; Bingzhen Sun; Xixuan Zhao; Xiaoli Chu (Inf. Sci., 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., 2025)

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 005; Jiqian Liu; Xinfang Zhang; Haoran Sun; Xiaoli Chu (Inf. Process. Manag., 2026)