Xi Wu
Orcid: 0000-0002-7659-1631Affiliations:
- Chengdu University of Information Technology, School of Computer Science, China
- Sichuan University, College of Electronic and Information Engineering, Chengdu, China (PhD 2012)
According to our database1,
Xi Wu
authored at least 130 papers
between 2012 and 2024.
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Bibliography
2024
Cross-Chain Interoperability and Collaboration for Keyword-Based Embedded Smart Contracts in Internet of Things.
IEEE Internet Things J., March, 2024
IET Image Process., March, 2024
Semi-supervised medical image segmentation via hard positives oriented contrastive learning.
Pattern Recognit., February, 2024
CAGAN: Classifier-augmented generative adversarial networks for weakly-supervised COVID-19 lung lesion localisation.
IET Comput. Vis., February, 2024
Medical Image Anal., January, 2024
Exploring Domain-Invariant Feature Space for Unsupervised Cross-Domain Facial Expression Recognition via Diffusion Model.
IEEE Trans. Instrum. Meas., 2024
Deep Learning for Near-Surface Air Temperature Estimation From FengYun 4A Satellite Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Pattern Recognit., 2024
Learning with Alignments: Tackling the Inter- and Intra-domain Shifts for Cross-multidomain Facial Expression Recognition.
CoRR, 2024
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection.
CoRR, 2024
MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction.
CoRR, 2024
DCL-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024
Image2Points: A 3D Point-Based Context Clusters GAN for High-Quality Pet Image Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Automatic Head-and-Neck Tumor Segmentation in MRI via an End-to-End Adversarial Network.
Neural Process. Lett., December, 2023
Unsupervised Domain Adaptive Dose Prediction via Cross-Attention Transformer and Target-Specific Knowledge Preservation.
Int. J. Neural Syst., November, 2023
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification.
Medical Image Anal., October, 2023
Pattern Recognit., September, 2023
Int. J. Neural Syst., August, 2023
Comput. Biol. Medicine, June, 2023
IEEE Trans. Multim., 2023
Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation.
Knowl. Based Syst., 2023
Facial Expression Recognition with Contrastive Learning and Uncertainty-Guided Relabeling.
Int. J. Neural Syst., 2023
UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields.
CoRR, 2023
Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding.
CoRR, 2023
X-Transfer: A Transfer Learning-Based Framework for Robust GAN-Generated Fake Image Detection.
CoRR, 2023
CoRR, 2023
IEEE Access, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Leveraging Hard Positives for Contrastive Learning in Semi-Supervised Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
IROS, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Pattern Recognit., 2022
ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease.
Pattern Recognit., 2022
Pattern Recognit., 2022
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning.
Medical Image Anal., 2022
Knowl. Based Syst., 2022
Unified medical image segmentation by learning from uncertainty in an end-to-end manner.
Knowl. Based Syst., 2022
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction.
Knowl. Based Syst., 2022
Knowl. Based Syst., 2022
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation.
Int. J. Neural Syst., 2022
Int. J. Intell. Syst., 2022
DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma segmentation.
IET Image Process., 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Automatic vertebrae recognition from arbitrary spine MRI images by a category-Consistent self-calibration detection framework.
Medical Image Anal., 2021
Medical Image Anal., 2021
DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images.
Neurocomputing, 2021
Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion.
Neurocomputing, 2021
Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis.
CoRR, 2021
LR-cGAN: Latent representation based conditional generative adversarial network for multi-modality MRI synthesis.
Biomed. Signal Process. Control., 2021
Face inpainting based on GAN by facial prediction and fusion as guidance information.
Appl. Soft Comput., 2021
Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Coarse-To-Fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Adaptive Multi-Organ Loss Based Generative Adversarial Network For Automatic Dose Prediction In Radiotherapy.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization.
Proceedings of the International IEEE Joint Conference on Biometrics, 2021
2020
Image segmentation of nasopharyngeal carcinoma using 3D CNN with long-range skip connection and multi-scale feature pyramid.
Soft Comput., 2020
Functional neural interactions during adaptive reward learning: An functional magnetic resonance imaging study.
Int. J. Imaging Syst. Technol., 2020
Neurocomputing, 2020
Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection.
CoRR, 2020
Discriminative Dictionary-Embedded Network for Comprehensive Vertebrae Tumor Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Squeeze the Ball: Designing an Interactive Playground towards Aiding Social Activities of Children with Low-Function Autism.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020
2019
IEEE Trans. Medical Imaging, 2019
Functional Informed Fiber Tracking Using Combination of Diffusion and Functional MRI.
IEEE Trans. Biomed. Eng., 2019
Multim. Syst., 2019
Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network.
Medical Image Anal., 2019
Towards Accurate and Robust Multi-Modal Medical Image Registration Using Contrastive Metric Learning.
IEEE Access, 2019
ACNET: Attention-based Convolution Network with Additional Discriminative Features for DCM Classification (S).
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019
Generative Adversarial Networks with Enhanced Symmetric Residual Units for Single Image Super-Resolution.
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019
Automatic Vertebrae Recognition from Arbitrary Spine MRI Images by a Hierarchical Self-calibration Detection Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019
Proceedings of the ACM Turing Celebration Conference - China, 2019
Proceedings of the ACM Turing Celebration Conference - China, 2019
2018
An Energy-Efficient Network-Wide Broadcast Protocol for Asynchronous Wireless Sensor Networks.
IEEE Wirel. Commun. Lett., 2018
IEEE Trans. Multim., 2018
Soft Comput., 2018
Signal Process., 2018
Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications.
Neural Process. Lett., 2018
Patch-Based Label Fusion with Structured Discriminant Embedding for Hippocampus Segmentation.
Neuroinformatics, 2018
3D conditional generative adversarial networks for high-quality PET image estimation at low dose.
NeuroImage, 2018
J. Comput. Methods Sci. Eng., 2018
EURASIP J. Image Video Process., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
A discriminative learning based approach for automated nasopharyngeal carcinoma segmentation leveraging multi-modality similarity metric learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the Sixth International Symposium of Chinese CHI, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.
IEEE Trans. Biomed. Eng., 2017
Functional connectivity and activity of white matter in somatosensory pathways under tactile stimulations.
NeuroImage, 2017
A Semi-supervised manifold alignment algorithm and an evaluation method based on local structure preservation.
Neurocomputing, 2017
IEEE Commun. Lett., 2017
Comput. Math. Methods Medicine, 2017
ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the ACM Turing 50th Celebration Conference, 2017
2016
Neurocomputing, 2016
Comput. Math. Methods Medicine, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
2015
A New Framework for Container Code Recognition by Using Segmentation-Based and HMM-Based Approaches.
Int. J. Pattern Recognit. Artif. Intell., 2015
Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
2012
Comput. Math. Methods Medicine, 2012