Xi Wang
Orcid: 0000-0002-5218-2761Affiliations:
- Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- Sichuan University, College of Computer Science, Chengdu, China (former)
According to our database1,
Xi Wang
authored at least 28 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
IEEE Trans. Syst. Man Cybern. Syst., February, 2025
Diffusion Source Inference for Large-Scale Complex Networks Based on Network Percolation.
IEEE Trans. Neural Networks Learn. Syst., January, 2025
2024
IEEE/ACM Trans. Netw., August, 2024
Efficient approaches for attaining epidemic-free networks with minimum edge removal set.
Commun. Nonlinear Sci. Numer. Simul., March, 2024
Diffusion Containment in Complex Networks Through Collective Influence of Connections.
IEEE Trans. Inf. Forensics Secur., 2024
Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation.
CoRR, 2024
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation.
CoRR, 2024
Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images.
CoRR, 2024
Cross-modality Guidance-aided Multi-modal Learning with Dual Attention for MRI Brain Tumor Grading.
CoRR, 2024
Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images.
Medical Image Anal., 2023
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
PrEF: Percolation-based Evolutionary Framework for the diffusion-source-localization problem in large networks.
CoRR, 2022
2021
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis.
Medical Image Anal., 2021
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification.
Medical Image Anal., 2021
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs.
CoRR, 2021
2020
IEEE Trans. Medical Imaging, 2020
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.
IEEE J. Biomed. Health Informatics, 2020
IEEE Trans. Cybern., 2020
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning.
Medical Image Anal., 2020
2019
Framework of Evolutionary Algorithm for Investigation of Influential Nodes in Complex Networks.
IEEE Trans. Evol. Comput., 2019
Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2016
3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016