Impacts of Road Grade on Fuel Consumption of Light Vehicles by Use of Google Earth DEM. - Yanni Wang; Xiaoping Du; Haitao Yu 008; Jian Huang; Yonghao Li (CyberC, 2015)

Feature Redundancy Based on Interaction Information for Multi-Label Feature Selection. - Wanfu Gao; Juncheng Hu; Yonghao Li; Ping Zhang 025 (IEEE Access, 2020)

Multi-Label Feature Selection Based on High-Order Label Correlation Assumption. - Ping Zhang 025; Wanfu Gao; Juncheng Hu; Yonghao Li (Entropy, 2020)

Robust multi-label feature selection with dual-graph regularization. - Juncheng Hu; Yonghao Li; Wanfu Gao; Ping Zhang 025 (Knowl. Based Syst., 2020)

Multi-label feature selection with shared common mode. - Liang Hu 001; Yonghao Li; Wanfu Gao; Ping Zhang 025; Juncheng Hu (Pattern Recognit., 2020)

Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks. - Yiran Wei 002; Yonghao Li; Xi Chen 042; Carola-Bibiane Schönlieb; Chao Li 031; Stephen J. Price (BrainLes@MICCAI (1), 2021)

A conditional-weight joint relevance metric for feature relevancy term. - Ping Zhang 025; Wanfu Gao; Juncheng Hu; Yonghao Li (Eng. Appl. Artif. Intell., 2021)

Multi-Label Feature Selection Combining Three Types of Conditional Relevance. - Lingbo Gao; Yiqiang Wang; Yonghao Li; Ping Zhang 025; Liang Hu 001 (Entropy, 2021)

Multi-label feature selection based on the division of label topics. - Ping Zhang 025; Wanfu Gao; Juncheng Hu; Yonghao Li (Inf. Sci., 2021)

Preserving Similarity and Staring Decisis for Feature Selection. - Wanfu Gao; Liang Hu 001; Yonghao Li; Ping Zhang 025 (IEEE Trans. Artif. Intell., 2021)

SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis. - Yonghao Li; Tao Zhou 002; Kelei He; Yi Zhou 007; Dinggang Shen (CoRR, 2022)

Dynamic subspace dual-graph regularized multi-label feature selection. - Juncheng Hu; Yonghao Li; Gaochao Xu; Wanfu Gao (Neurocomputing, 2022)

Construction of complex environment speech signal communication system based on 5G and AI driven feature extraction techniques. - Yi Jiang; Erli Cheng; Yonghao Li; Yali Zhang (Int. J. Speech Technol., 2022)

Feature-specific mutual information variation for multi-label feature selection. - Liang Hu 001; Lingbo Gao; Yonghao Li; Ping Zhang 025; Wanfu Gao (Inf. Sci., 2022)

Label correlations variation for robust multi-label feature selection. - Yonghao Li; Liang Hu 001; Wanfu Gao (Inf. Sci., 2022)

Robust multi-label feature selection with shared label enhancement. - Yonghao Li; Juncheng Hu; Wanfu Gao (Knowl. Inf. Syst., 2022)

Multi-label feature selection method based on dynamic weight. - Ping Zhang 025; Jiyao Sheng; Wanfu Gao; Juncheng Hu; Yonghao Li (Soft Comput., 2022)

CLIP in Medical Imaging: A Comprehensive Survey. - Zihao Zhao 002; Yuxiao Liu; Han Wu 007; Yonghao Li; Sheng Wang 014; Lin Teng; Disheng Liu; Zhiming Cui; Qian Wang 001; Dinggang Shen (CoRR, 2023)

Multi-label feature selection via robust flexible sparse regularization. - Yonghao Li; Liang Hu 001; Wanfu Gao (Pattern Recognit., 2023)

Robust sparse and low-redundancy multi-label feature selection with dynamic local and global structure preservation. - Yonghao Li; Liang Hu 001; Wanfu Gao (Pattern Recognit., 2023)

Multilabel Feature Selection With Constrained Latent Structure Shared Term. - Wanfu Gao; Yonghao Li; Liang Hu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis. - Yonghao Li; Tao Zhou 002; Kelei He; Yi Zhou 007; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification. - Yonghao Li; Yiqing Shen 003; Jiadong Zhang; Shujie Song; Zhenhui Li; Jing Ke; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening. - Yan Kong; Sheng Wang 014; Jiangdong Cai; Zihao Zhao 002; Zhenrong Shen 001; Yonghao Li; Manman Fei; Qian Wang 001 (MICCAI (4), 2024)

Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network. - Qingrui Sha; Kaicong Sun; Mingze Xu; Yonghao Li; Zhong Xue; Xiaohuan Cao; Dinggang Shen (MICCAI (2), 2024)

IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images. - Haoyuan Chen; Yonghao Li; Jiadong Zhang; Qi Xu; Meiyu Li; Zhenhui Li; Xuejun Qian; Dinggang Shen (MLMI@MICCAI (1), 2024)

Satellites swarm cooperation for pursuit-attachment tasks with transformer-based reinforcement learning. - Yonghao Li (CoRR, 2024)

Multi-label feature selection with high-sparse personalized and low-redundancy shared common features. - Yonghao Li; Liang Hu 001; Wanfu Gao (Inf. Process. Manag., 2024)

Exploring multi-label feature selection via feature and label information supplementation. - Suqi Zhang; Yonghao Li; Ping Zhang 025; Wanfu Gao (Eng. Appl. Artif. Intell., 2025)

Fusion-enhanced multi-label feature selection with sparse supplementation. - Yonghao Li; Xiangkun Wang; Xin Yang 012; Wanfu Gao; Weiping Ding 001; Tianrui Li 001 (Inf. Fusion, 2025)

Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer. - Yujie Li 007; Guannan Lai; Xin Yang 012; Yonghao Li; Marcello M. Bonsangue; Tianrui Li 001 (CoRR, 2025)

LSA: Latent Style Augmentation Towards Stain-Agnostic Cervical Cancer Screening. - Jiangdong Cai; Haotian Jiang; Zhenrong Shen 001; Yonghao Li; Honglin Xiong; Lichi Zhang; Qian Wang 001 (CoRR, 2025)

MI-MCF: A Mutual Information-Based Multilabel Causal Feature Selection. - Lin Ma; Liang Hu 001; Yonghao Li; Weiping Ding 001; Wanfu Gao (IEEE Trans. Neural Networks Learn. Syst., 2025)