CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients. - Zeyuan Wang; Shiding Sun; Josiah Poon; Simon K. Poon (BIBM, 2018)

A New Method for Structured Learning with Privileged Information. - Shiding Sun; Chunhua Zhang; Yingjie Tian 001 (ICCS (2), 2018)

Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data. - Zeyuan Wang; Josiah Poon; Shiding Sun; Simon K. Poon (IJCNN, 2019)

Structured Output Prediction Using Privileged Information. - Chunhua Zhang; Shiding Sun; Yingjie Tian 001; Zeyuan Wang (IEEE Access, 2019)

A brief overview of kernel methods with prior information. - Saiji Fu; Shiding Sun; Xinfeng Wang; Dalian Liu (ITQM, 2021)

A novel method for clinical risk prediction with low-quality data. - Zeyuan Wang; Josiah Poon; Shuze Wang; Shiding Sun; Simon K. Poon (Artif. Intell. Medicine, 2021)

Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism. - Yingjie Tian 001; Shiding Sun; Zhiquan Qi; Ying Liu; Zeyuan Wang (Neurocomputing, 2022)

Multi-view Teacher-Student Network. - Yingjie Tian 001; Shiding Sun; Jingjing Tang (Neural Networks, 2022)

Throughput Optimization VNF Placement in Cloud Datacenter Considering Time-Varying Workload and Multi-Tenancy. - Yi Yue; Shiding Sun; Zhiyan Zhang; Xiongyan Tang; Wencong Yang; Xuebei Zhang (ICPADS, 2023)

Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft. - Shiding Sun; Yingjie Tian 001; Zhiquan Qi; Yang Wu; Weizhi Gao; Yahe Wu (Biomed. Signal Process. Control., 2023)

Multi-view prototype-based disambiguation for partial label learning. - Shiding Sun; Xiaotong Yu; Yingjie Tian 001 (Pattern Recognit., 2023)

A Deep Learning-based Virtual Network Function Placement Approach in NFV-enabled Networks. - Yi Yue; Shiding Sun; Xiongyan Tang; Zhiyan Zhang; Wencong Yang (WCNC, 2024)

Decoupled representation for multi-view learning. - Shiding Sun; Bo Wang 049; Yingjie Tian 001 (Pattern Recognit., 2024)

Self-distillation and self-supervision for partial label learning. - Xiaotong Yu; Shiding Sun; Yingjie Tian 001 (Pattern Recognit., 2024)

VNF placement in NFV-enabled networks: considering time-varying workloads and multi-tenancy with a throughput optimization heuristic. - Yi Yue; Shiding Sun; Xuebei Zhang; Ruihua Li; Wencong Yang; Chang Cao; Xiongyan Tang (Computing, 2024)

GCKD: Graph contrastive for supervised knowledge distillation. - Zan Chen; Shijie Li; Qiang Tong 004; Bo Wang 049; Shiding Sun (Inf. Sci., 2025)

Sample selection for noisy partial label learning with interactive contrastive learning. - Xiaotong Yu; Shiding Sun; Yingjie Tian 001 (Pattern Recognit., 2025)