Xiang Li
Orcid: 0000-0003-1657-209XAffiliations:
- Harbin Institute of Technology, School of Astronautics, Department of Control Science and Engineering, China
According to our database1,
Xiang Li
authored at least 28 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Adaptive Multiresampling Learning Based on Dual-Scale Feature Aggregation for Industrial Quality Prediction.
IEEE Trans. Ind. Informatics, June, 2025
Multivariate Correlation Self-Distillation Transformer for Time Series Forecasting With Incomplete Data.
IEEE Trans. Ind. Informatics, June, 2025
Joint Lesion Detection and Classification of Breast Ultrasound Video via a Clinical Knowledge-Aware Framework.
IEEE Trans. Circuits Syst. Video Technol., January, 2025
DPKI-Net: Dual Prior Knowledge Injection Network for Multitask 3-D Medical Image Segmentation and Landmark Localization.
IEEE Trans. Instrum. Meas., 2025
2024
FDGR-Net: Feature Decouple and Gated Recalibration Network for medical image landmark detection.
Expert Syst. Appl., March, 2024
A Data-Model Interactive Remaining Useful Life Prediction Approach of Lithium-Ion Batteries Based on PF-BiGRU-TSAM.
IEEE Trans. Ind. Informatics, February, 2024
TDF-Net: Trusted Dynamic Feature Fusion Network for breast cancer diagnosis using incomplete multimodal ultrasound.
Inf. Fusion, 2024
2023
Effective automatic detection of anterior cruciate ligament injury using convolutional neural network with two attention mechanism modules.
BMC Medical Imaging, December, 2023
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images.
Artif. Intell. Medicine, December, 2023
Comput. Biol. Medicine, November, 2023
An integrated multi-head dual sparse self-attention network for remaining useful life prediction.
Reliab. Eng. Syst. Saf., May, 2023
SDMT: Spatial Dependence Multi-Task Transformer Network for 3D Knee MRI Segmentation and Landmark Localization.
IEEE Trans. Medical Imaging, 2023
A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition.
Reliab. Eng. Syst. Saf., 2023
A dual-path instance segmentation network based on nuclei contour in histology image.
Discov. Artif. Intell., 2023
2022
RAGCN: Region Aggregation Graph Convolutional Network for Bone Age Assessment From X-Ray Images.
IEEE Trans. Instrum. Meas., 2022
Playing Against Deep-Neural-Network-Based Object Detectors: A Novel Bidirectional Adversarial Attack Approach.
IEEE Trans. Artif. Intell., 2022
Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism.
Reliab. Eng. Syst. Saf., 2022
An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty.
Reliab. Eng. Syst. Saf., 2022
Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images.
Knowl. Based Syst., 2022
Artif. Intell. Medicine, 2022
2021
Integrated Learning Approach Based on Fused Segmentation Information for Skeletal Fluorosis Diagnosis and Severity Grading.
IEEE Trans. Ind. Informatics, 2021
Lightweight Attention Convolutional Neural Network for Retinal Vessel Image Segmentation.
IEEE Trans. Ind. Informatics, 2021
When medical images meet generative adversarial network: recent development and research opportunities.
Discov. Artif. Intell., 2021
Model-based Analysis for target drug delivery on Internet of Bio-Health Thing in term of cardiovascular disease.
Proceedings of the CAA Symposium on Fault Detection, 2021
2020
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020
2019
An aerial image segmentation approach based on enhanced multi-scale convolutional neural network.
Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019
A Novel Redundant Information Elimination Aided Classification Approach for Cervical Cancer Diagnosis.
Proceedings of the CAA Symposium on Fault Detection, 2019