Xi Wang

Orcid: 0000-0002-5218-2761

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Efficient Continuous Network Dismantling.
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
Fast Outbreak Sense and Effective Source Inference via Minimum Observer Set.
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

Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI.
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

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions.
CoRR, 2023

Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation.
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
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening.
IEEE Trans. Medical Imaging, 2020

UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.
IEEE J. Biomed. Health Informatics, 2020

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.
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

Automated mitosis detection with deep regression networks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016


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