A novel automatic image segmentation method for Chinese literati paintings using multi-view fuzzy clustering technology. - Jie Zhang; Yintao Zhou; Kaijian Xia; Yizhang Jiang; Yuan Liu 021 (Multim. Syst., 2020)

Facial Expression Guided Diagnosis of Parkinson's Disease via High-Quality Data Augmentation. - Wei Huang 013; Yintao Zhou; Yiu-ming Cheung; Peng Zhang 005; Yufei Zha; Meng Pang (IEEE Trans. Multim., 2023)

Early Diagnosing Parkinson's Disease Via a Deep Learning Model Based on Augmented Facial Expression Data. - Yintao Zhou; Meng Pang; Wei Huang 013; Binghui Wang (ICASSP, 2024)

Reconstructing Prototype From Contaminated Face With Variations Across Heterogeneous Domains. - Meng Pang; Binghui Wang; Nanrun Zhou; Yintao Zhou; Wei Huang 013 (ICME, 2024)

Microstructure Identification of Iron-Carbon Alloys Using Deep Learning. - Zhihao Gao; Yintao Zhou; Wei Huang 013 (IoTML, 2024)

A Novel Multi-task-learning Framework of Dementia Diseases Diagnosis based on Synthesized Arterial Spin Labeling Images. - Zixuan Zhu; Mingyuan Luo; Yintao Zhou; Wei Huang 013 (IoTML, 2024)

Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis. - Meng Pang; Houwei Xu; Zheng Huang; Yintao Zhou; Wei Huang 013; Binghui Wang (AAAI, 2025)

Heterogeneous Prototype Learning From Contaminated Faces Across Domains via Disentangling Latent Factors. - Meng Pang; Binghui Wang; Mang Ye; Yiu-Ming Cheung; Yintao Zhou; Wei Huang 013; Bihan Wen (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Multimodal In Vitro Diagnostic Method for Parkinson's Disease Combining Facial Expressions and Behavioral Gait Data. - Wei Huang; Yinxuan Xu; Yintao Zhou; Zhengyu Li; Jing Huang; Meng Pang (CoRR, 2025)