Tianyu Shi
Orcid: 0000-0002-2892-8906
According to our database1,
Tianyu Shi
authored at least 41 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Adaptive Speed Regulation for Permanent Magnet Synchronous Motor Systems With Speed and Current Constraints.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024
A Novel Adaptive Fuzzy Control Scheme for a Class of Nonlinear Planar Systems Under State Constraints.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024
CoRR, 2024
2023
A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation.
IEEE J. Biomed. Health Informatics, October, 2023
Expert Syst. Appl., August, 2023
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation.
Comput. Biol. Medicine, June, 2023
Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans.
IEEE J. Biomed. Health Informatics, May, 2023
A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET-CT Volumes.
Eng. Appl. Artif. Intell., May, 2023
A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation.
Comput. Biol. Medicine, May, 2023
IEEE J. Biomed. Health Informatics, February, 2023
Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy.
Sensors, 2023
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning.
CoRR, 2023
CoRR, 2023
ASE-Net: A tumor segmentation method based on image pseudo enhancement and adaptive-scale attention supervision module.
Comput. Biol. Medicine, 2023
Proceedings of the IEEE International Conference on Smart Mobility, 2023
Cooperative Variable Speed Limit Control using Multi-agent Reinforcement Learning and Evolution Strategy for Improved Throughput in Mixed Traffic.
Proceedings of the IEEE International Conference on Smart Mobility, 2023
2022
HD-RDS-UNet: Leveraging Spatial-Temporal Correlation Between the Decoder Feature Maps for Lymphoma Segmentation.
IEEE J. Biomed. Health Informatics, 2022
C<sup>2</sup>MA-Net: Cross-Modal Cross-Attention Network for Acute Ischemic Stroke Lesion Segmentation Based on CT Perfusion Scans.
IEEE Trans. Biomed. Eng., 2022
A unified uncertainty network for tumor segmentation using uncertainty cross entropy loss and prototype similarity.
Knowl. Based Syst., 2022
CoRR, 2022
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model.
CoRR, 2022
PSR-Nets: Deep neural networks with prior shift regularization for PET/CT based automatic, accurate, and calibrated whole-body lymphoma segmentation.
Comput. Biol. Medicine, 2022
Multi-stage puncture path planning algorithm of ablation needles for percutaneous radiofrequency ablation of liver tumors.
Comput. Biol. Medicine, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Research on Adjustable Classroom Desks and Chairs Based on the Human Dimensions of Chinese Minors.
Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Anthropometry, Human Behavior, and Communication, 2022
Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022
2021
Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement.
CoRR, 2021
Improving the fidelity of CT image colorization based on pseudo-intensity model and tumor metabolism enhancement.
Comput. Biol. Medicine, 2021
Research on the Design of Smart Bracelets for the Elderly Based on Maslow's Hierarchy of Needs.
Proceedings of the HCI International 2021 - Late Breaking Papers: Cognition, Inclusion, Learning, and Culture, 2021
2020
Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning.
CoRR, 2020
A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation.
Comput. Methods Programs Biomed., 2020
Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning.
CoRR, 2019
A Data Driven Approach for Motion Planning of Autonomous Driving Under Complex Scenario.
CoRR, 2019
CoRR, 2019
AHCNet: An Application of Attention Mechanism and Hybrid Connection for Liver Tumor Segmentation in CT Volumes.
IEEE Access, 2019
A Data Driven Method of Feedforward Compensator Optimization for Autonomous Vehicle Control.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019