Xinran Wu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
Federated Spatial Prior-Based Source-Free Domain Adaptation for White Matter Hyperintensities Segmentation.
IEEE J. Biomed. Health Informatics, April, 2026
AdaSFormer: Adaptive Serialized Transformers for Monocular Semantic Scene Completion from Indoor Environments.
CoRR, March, 2026
Deep Variational Autoencoder-Based Parameter Learning of Bayesian Network With Multiple Latent Variables.
IEEE Trans. Artif. Intell., January, 2026
2025
J. Soc. Comput., 2025
Stable individualized brain computing model informed by spatiotemporal co-activity patterns.
PLoS Comput. Biol., 2025
PLoS Comput. Biol., 2025
Eng. Appl. Artif. Intell., 2025
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025
Proceedings of the IEEE International Conference on Data Mining, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Learning Conditional Probability Distributions for Robust Probabilistic Inference in Bayesian Network.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
When Variety Seeking Meets Multi-Sided Recommendation Fairness: A Consistent and Personalized Multi-Objective Optimization Framework.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
ClassiCard: A Classifier Based Approach for Cardinality Estimation in Normalized Tables.
Proceedings of the Web and Big Data - 9th International Joint Conference, 2025
2024
Learning a Bayesian network with multiple latent variables for implicit relation representation.
Data Min. Knowl. Discov., July, 2024
Shopping trip recommendations: A novel deep learning-enhanced global planning approach.
Decis. Support Syst., 2024
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Efficient Parameter Learning of Bayesian Network with Latent Variables from High-Dimensional Data.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
2022
A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification.
Appl. Intell., 2022
Tubular Structure-Aware Convolutional Neural Networks for Organ at Risks Segmentation in Cervical Cancer Radiotherapy.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022
2021
Functional coupling of the orbitofrontal cortex and the basolateral amygdala mediates the association between spontaneous reappraisal and emotional response.
NeuroImage, 2021
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification.
CoRR, 2021
Intelligent Gastric Histopathology Image Classification Using Hierarchical Conditional Random Field based Attention Mechanism.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021
2020
A parallel and constraint induced approach to modeling user preference from rating data.
Knowl. Based Syst., 2020
An Efficient Approach for Parameters Learning of Bayesian Network with Multiple Latent Variables Using Neural Networks and P-EM.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020
2019
Int. J. Asian Bus. Inf. Manag., 2019
2011
Proceedings of the Sixth International Conference on Image and Graphics, 2011
2003
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
2001
Proceedings of the 10th International Conference on Computer Communications and Networks, 2001