Zhiqiang Liu
Orcid: 0000-0002-3742-9631Affiliations:
- Tianjin University, College of Intelligence and Computing, China
According to our database1,
Zhiqiang Liu
authored at least 37 papers
between 2018 and 2024.
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Bibliography
2024
Spatio-temporal graph cross-correlation auto-encoding network for wind power prediction.
Int. J. Mach. Learn. Cybern., January, 2024
Image Vis. Comput., 2024
Local and Long-range Convolutional LSTM Network: A novel multi-step wind speed prediction approach for modeling local and long-range spatial correlations based on ConvLSTM.
Eng. Appl. Artif. Intell., 2024
CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation.
CoRR, 2024
Unsupervised Domain Adaptation Semantic Segmentation on Thyroid Ultrasound Images Based on Task-Oriented Feature Disentanglement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Multi-Level Augmentation Consistency Learning and Sample Selection for Semi-Supervised Domain Generalization.
Proceedings of the IEEE International Conference on Acoustics, 2024
DualGCN-MIL: Whole Slide Image Classification Based on Double Relationship Graph Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024
Pixel-wise Reclassification with Prototypes for Enhancing Weakly Supervised Semantic Segmentation.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
Appl. Intell., May, 2023
Windformer: Bi-Directional Long-Distance Spatio-Temporal Network For Wind Speed Prediction.
CoRR, 2023
A Prior-Guided Generative Adversarial Net for Semantically Strict Ultrasound Images Augmentation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
An Industrial Defect Detection Network with Fine-Grained Supervision and Adaptive Contrast Enhancement.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
An Ultra-short-Term Wind Speed Prediction Method Based on Spatio-Temporal Feature Decomposition and Multi Feature Fusion Network.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
IntrNet: Weakly Supervised Segmentation of Thyroid Nodules Based on Intra-image and Inter-image Semantic Information.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Implicit Feature Augmentation with Feature Transfer For Class-Imbalanced Medical Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
A Progressive Generative Adversarial Method for Structurally Inadequate Medical Image Data Augmentation.
IEEE J. Biomed. Health Informatics, 2022
Image Vis. Comput., 2022
Feature discretization-based deep clustering for thyroid ultrasound image feature extraction.
Comput. Biol. Medicine, 2022
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022
Convolve with Wind: Parallelized Line Integral Convolutional Network for Ultra Short-term Wind Power Prediction of Multi-wind Turbines.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2021
SSE: Scale-adaptive Soft Erase Weakly Supervised Segmentation Network for Thyroid Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Medical Biol. Eng. Comput., 2020
Future Gener. Comput. Syst., 2020
Generative Adversarial Network Using Multi-modal Guidance for Ultrasound Images Inpainting.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Boundary-aware Segmentation Network Using Multi-Task Enhancement for Ultrasound Image.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Tumor Classification Based on Approximate Symmetry Using Dual-Branch Complementary Fusion Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
MSDAN: Multi-Scale Self-Attention Unsupervised Domain Adaptation Network for Thyroid Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
A Feedback Attention Network for Classification and Visualization of Thyroid Nodules on Ultrasound Images.
Aust. J. Intell. Inf. Process. Syst., 2019
Multi-Attention Object Detection Model in Remote Sensing Images Based on Multi-Scale.
IEEE Access, 2019
A Wind Power Prediction Method Based on Deep Convolutional Network with Multiple Features.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Comput. Syst. Sci. Eng., 2018
Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space.
CoRR, 2018
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018