Xiaodan Xu
According to our database1,
Xiaodan Xu
authored at least 34 papers
between 2010 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis.
BMC Medical Informatics Decis. Mak., December, 2025
Constructing an artificial intelligence-assisted system for the assessment of gastroesophageal valve function based on the hill classification (with video).
BMC Medical Informatics Decis. Mak., December, 2025
CoRR, July, 2025
ACM Trans. Softw. Eng. Methodol., May, 2025
Adaptive Feature Fusion Enhanced Cascade Pointer Network for Chinese Relation Extraction.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2025
Sembug: Detecting Logic Bugs in Dbms Through Generating Semantic-Aware Non-Optimizing Query.
Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025
What You See is What You Get: Attention-Based Self-Guided Automatic Unit Test Generation.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025
2024
Automated machine learning for early prediction of acute kidney injury in acute pancreatitis.
BMC Medical Informatics Decis. Mak., December, 2024
Clinical value of the semi-quantitative parameters of <sup>18</sup>F-fluorodeoxyglucose PET/CT in the classification of hepatic echinococcosis in the Qinghai Tibetan area of China.
BMC Medical Imaging, December, 2024
Dance of two brains: Interval subdivision in alternated condition enhances resistance to interference by others.
NeuroImage, 2024
Development and validation of a multimodal model in predicting severe acute pancreatitis based on radiomics and deep learning.
Int. J. Medical Informatics, 2024
Enhancing Discriminative Tasks by Guiding the Pre-trained Language Model with Large Language Model's Experience.
CoRR, 2024
IEEE Access, 2024
Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., June, 2023
Boosting Just-in-Time Defect Prediction with Specific Features of C/C++ Programming Languages in Code Changes.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Leveraging Probe Data and Machine Learning to Derive and Interpret Macroscopic Fundamental Diagrams Across U.S. Cities.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
Comput. Aided Civ. Infrastructure Eng., 2021
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021
2020
Stoker's Problem for Quasi-periodically Forced Reversible Systems with Multidimensional Liouvillean Frequency.
SIAM J. Appl. Dyn. Syst., 2020
2019
Synchronization Control Algorithm of Double-Cylinder Forging Hydraulic Press Based on Fuzzy Neural Network.
Algorithms, 2019
IEEE Access, 2019
2018
Int. J. Comput. Intell. Syst., 2018
2015
计算机科学, 2015
基于信息增益的多标签特征选择算法 (Multi-label Feature Selection Algorithm Based on Information Gain).
计算机科学, 2015
2014
Compressed partial least squares regression: A supervised method for multi-label data.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014
2012
J. Comput., 2012
2010
Proceedings of the Second International Workshop on Database Technology and Applications, 2010