Yuexing Hao
Orcid: 0000-0003-4375-7655
According to our database1,
Yuexing Hao
authored at least 32 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Decoupling foreground and background with Siamese ViT networks for weakly-supervised semantic segmentation.
Neurocomputing, 2024
Bridging local and global representations for self-supervised monocular depth estimation.
Eng. Appl. Artif. Intell., 2024
Outlining the Borders for LLM Applications in Patient Education: Developing an Expert-in-the-Loop LLM-Powered Chatbot for Prostate Cancer Patient Education.
CoRR, 2024
Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses from Closed-Domain LLM vs. Clinical Teams.
CoRR, 2024
DANNMCTG: Domain-Adversarial Training of Neural Network for multicenter antenatal cardiotocography signal classification.
Biomed. Signal Process. Control., 2024
The i-SDM Framework: Developing AI-based Tools in Shared Decision-Making for Cancer Treatment with Clinical Professionals.
Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024
Outcome First or Overview First? Optimizing Patient-Oriented Framework for Evidence-Based Healthcare Treatment Selections with XAI Tools.
Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024
Advancing Patient-Centered Shared Decision-Making with AI Systems for Older Adult Cancer Patients.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability.
BMC Medical Informatics Decis. Mak., December, 2023
Intelligent antepartum fetal monitoring via deep learning and fusion of cardiotocographic signals and clinical data.
Health Inf. Sci. Syst., December, 2023
CoG-Trans: coupled graph convolutional transformer for multi-label classification of cherry defects.
Neural Comput. Appl., July, 2023
Neurocomputing, April, 2023
EBNAS: Efficient binary network design for image classification via neural architecture search.
Eng. Appl. Artif. Intell., April, 2023
An Exploratory Study of Shared Decision-Making (SDM) for Older Adult Patients with Chronic Diseases.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023
Harnessing Biomedical Literature to Calibrate Clinicians' Trust in AI Decision Support Systems.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
CoRR, 2022
Intelligent classification of antenatal cardiotocography signals via multimodal bidirectional gated recurrent units.
Biomed. Signal Process. Control., 2022
Appl. Intell., 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Implementation of Lightweight Convolutional Neural Networks via Layer-Wise Differentiable Compression.
Sensors, 2021
CoRR, 2021
Dynamic Strategies and Opponent Hands Estimation for Reinforcement Learning in Gin Rummy Game.
Proceedings of the Intelligent Systems and Applications, 2021
2020
Single image rain removal with reusing original input squeeze-and-excitation network.
IET Image Process., 2020
Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers.
Bioinform., 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2017
Neurocomputing, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016