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
Solving Algebraic Equations by Completing Powers.
Am. Math. Mon., March, 2025
EMFF-Net: Edge-Enhancement Multi-Scale Feature Fusion Network.
IEEE Access, 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.
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Int. J. Medical Informatics, 2024
Distinguishing LLM-generated from Human-written Code by Contrastive Learning.
CoRR, 2024
Enhancing Discriminative Tasks by Guiding the Pre-trained Language Model with Large Language Model's Experience.
CoRR, 2024
Learning-based Models for Vulnerability Detection: An Extensive Study.
CoRR, 2024
Multi-Dimensional Fusion Reverse Attention Network for Polyp Segmentation.
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
Anomaly Detection With Representative Neighbors.
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
Function-Level Vulnerability Detection Through Fusing Multi-Modal Knowledge.
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
DISK: Domain-constrained Instance Sketch for Math Word Problem Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
Distributed computing for region-wide line source dispersion modeling.
Comput. Aided Civ. Infrastructure Eng., 2021
Coupled Infrastructure Simulation of Electric Grid and Transportation Networks.
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
Recent Progress of Anomaly Detection.
Complex., 2019
Synchronization Control Algorithm of Double-Cylinder Forging Hydraulic Press Based on Fuzzy Neural Network.
Algorithms, 2019
A Truthful Auction Mechanism for Mobile Crowd Sensing With Budget Constraint.
IEEE Access, 2019
2018
A Comparison of Outlier Detection Techniques for High-Dimensional Data.
Int. J. Comput. Intell. Syst., 2018
2015
基于kNN的多标签分类预处理方法 (Pre-processing Method of Multi-label Classification Based on kNN).
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
A New Sub-topics Clustering Method Based on Semi-supervised Learing.
J. Comput., 2012
2010
Study on Sub Topic Clustering of Multi-Documents Based on Semi-Supervised Learning.
Proceedings of the Second International Workshop on Database Technology and Applications, 2010