Yicheng Zhu
Orcid: 0000-0002-7280-4804
According to our database1,
Yicheng Zhu
authored at least 25 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Correction to: Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design.
Medical Biol. Eng. Comput., January, 2024
Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design.
Medical Biol. Eng. Comput., January, 2024
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024
2023
Sliding mode control with extended state observer for a class of nonlinear uncertain systems.
Int. J. Control, May, 2023
Inf. Process. Manag., 2023
A Deep-Learning Approach to Marble-Burying Quantification: Image Segmentation of Marbles and Bedding.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023
2022
Switching Transient Simulation and System Efficiency Evaluation of Megawatt Power Electronics Converter With Discrete State Event-Driven Approach.
IEEE Trans. Ind. Electron., 2022
2021
Discrete State Event-Driven Simulation Approach With a State-Variable-Interfaced Decoupling Strategy for Large-Scale Power Electronics Systems.
IEEE Trans. Ind. Electron., 2021
Natural interactive techniques for the detection and assessment of neurological diseases.
Commun. ACM, 2021
Backward Discrete State Event-Driven Approach for Simulation of Stiff Power Electronic Systems.
IEEE Access, 2021
Proceedings of the Biometric Recognition - 15th Chinese Conference, 2021
2020
2019
Monitoring motor symptoms in Parkinson's disease via instrumenting daily artifacts with inertia sensors.
CCF Trans. Pervasive Comput. Interact., 2019
What Can Gestures Tell?: Detecting Motor Impairment in Early Parkinson's from Common Touch Gestural Interactions.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
Cerebrovascular Segmentation Algorithm Based on Focused Multi-Gaussians Model and Weighted 3D Markov Random Field.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
CalcuCafé: Designing for Collaboration Among Coffee Farmers to Calculate Costs of Production.
Proc. ACM Hum. Comput. Interact., 2018
Implicit Detection of Motor Impairment in Parkinson's Disease from Everyday Smartphone Interactions.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
2016
A coarse-to-fine feature selection method for accurate detection of cerebral small vessel disease.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2014
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014