Shiding Sun

Orcid: 0000-0003-4590-4479

According to our database1, Shiding Sun authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
VNF placement in NFV-enabled networks: considering time-varying workloads and multi-tenancy with a throughput optimization heuristic.
Computing, November, 2024

Self-distillation and self-supervision for partial label learning.
Pattern Recognit., February, 2024

Decoupled representation for multi-view learning.
Pattern Recognit., 2024

A Deep Learning-based Virtual Network Function Placement Approach in NFV-enabled Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

2023
Multi-view prototype-based disambiguation for partial label learning.
Pattern Recognit., September, 2023

Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft.
Biomed. Signal Process. Control., 2023

Throughput Optimization VNF Placement in Cloud Datacenter Considering Time-Varying Workload and Multi-Tenancy.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022
Multi-view Teacher-Student Network.
Neural Networks, 2022

Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism.
Neurocomputing, 2022

2021
A novel method for clinical risk prediction with low-quality data.
Artif. Intell. Medicine, 2021

A brief overview of kernel methods with prior information.
Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

2019
Structured Output Prediction Using Privileged Information.
IEEE Access, 2019

Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
A New Method for Structured Learning with Privileged Information.
Proceedings of the Computational Science - ICCS 2018, 2018

CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018


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