Shancheng Jiang

Orcid: 0000-0002-5306-3860

According to our database1, Shancheng Jiang authored at least 18 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
A diagnostic report supervised deep learning model training strategy for diagnosis of COVID-19.
Pattern Recognit., 2024

A prior knowledge-guided distributionally robust optimization-based adversarial training strategy for medical image classification.
Inf. Sci., 2024

Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification.
CoRR, 2024

A distributionally robust optimization approach for the potassium fertilizer product transportation considering transshipment through crossdocks.
Comput. Oper. Res., 2024

2023
A robust deep reinforcement learning approach to driverless taxi dispatching under uncertain demand.
Inf. Sci., October, 2023

Multi-objective auto-scaling scheduling for micro-service workflows in hybrid clouds.
Enterp. Inf. Syst., July, 2023

Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Automated Detection of Multitype Landforms on Mars Using a Light-Weight Deep Learning-Based Detector.
IEEE Trans. Aerosp. Electron. Syst., 2022

AGNet: Automatic generation network for skin imaging reports.
Comput. Biol. Medicine, 2022

2021
A Visually Interpretable Deep Learning Framework for Histopathological Image-Based Skin Cancer Diagnosis.
IEEE J. Biomed. Health Informatics, 2021

A robust end-to-end deep learning framework for detecting Martian landforms with arbitrary orientations.
Knowl. Based Syst., 2021

A novel weight pruning strategy for light weight neural networks with application to the diagnosis of skin disease.
Appl. Soft Comput., 2021

2020
Artificial Intelligence-Based Application to Explore Inhibitors of Neurodegenerative Diseases.
Frontiers Neurorobotics, 2020

C-Algl Net: Pathological Images Generate Diagnostic Results.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

2019
Combining Deep Neural Networks and Classical Time Series Regression Models for Forecasting Patient Flows in Hong Kong.
IEEE Access, 2019

2018
An integrated machine learning framework for hospital readmission prediction.
Knowl. Based Syst., 2018

A universal deep learning approach for modeling the flow of patients under different severities.
Comput. Methods Programs Biomed., 2018

2017
Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department.
Expert Syst. Appl., 2017


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