Few-shot learning based on hierarchical classification via multi-granularity relation networks. - Yuling Su; Hong Zhao 002; Yaojin Lin (Int. J. Approx. Reason., 2022)

Hybrid ResNet based on joint basic and attention modules for long-tailed classification. - Wei Zhao; Yuling Su; Minjie Hu; Hong Zhao 002 (Int. J. Approx. Reason., 2022)

WBS-Based Method in Teaching Management Information Project. - Yuling Su (J. Comput. Networks Commun., 2022)

Few-shot learning via relation network based on coarse-grained granulation. - Xiao Jia 015; Yuling Su; Hong Zhao 002 (Appl. Intell., 2023)

The value of preoperative positron emission tomography/computed tomography in differentiating the invasive degree of hypometabolic lung adenocarcinoma. - Yuling Su; Hui Zhou; Wenshan Huang; Lei Li; Jinyu Wang (BMC Medical Imaging, 2023)

Self-similarity feature based few-shot learning via hierarchical relation network. - Yangqing Zhong; Yuling Su; Hong Zhao (Int. J. Mach. Learn. Cybern., 2023)

A Robust Few-shot Learning Framework via Dual-branch Adversarial Noise Pretraining. - Jiale Wang; Xueliang Liu; Yuling Su (MMAsia, 2024)

Fine-grained Feature Assisted Cross-modal Image-text Retrieval. - Chaofei Bu; Xueliang Liu; Zhen Huang 006; Yuling Su; Junfeng Tu; Richang Hong (PRCV (11), 2024)

Partial-Tuning Based Mixed-Modal Prototypes for Few-Shot Classification. - Yuling Su; Xueliang Liu; Ye Zhao 001; Richang Hong; Meng Wang 001 (IEEE Trans. Multim., 2024)

Few-Shot Learning With Multi-Granularity Knowledge Fusion and Decision-Making. - Yuling Su; Hong Zhao 002; Yifeng Zheng; Yu Wang 106 (IEEE Trans. Big Data, 2024)

Reallocating and Evolving General Knowledge for Few-Shot Learning. - Yuling Su; Xueliang Liu; Zhen Huang 006; Jun He; Richang Hong; Meng Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

CSTS: Exploring Class-Specific and Task-Shared Embedding Representation for Few-Shot Learning. - Hong Zhao 002; Yuling Su; Zhiping Wu; Weiping Ding 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)