Diversity analysis on imbalanced data sets by using ensemble models. - Shuo Wang 005; Xin Yao 001 (CIDM, 2009)

Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning. - Shuo Wang 005; Xin Yao 001 (ICDM Workshops, 2009)

Diversity exploration and negative correlation learning on imbalanced data sets. - Shuo Wang 005; Ke Tang 001; Xin Yao 001 (IJCNN, 2009)

The Effectiveness of a New Negative Correlation Learning Algorithm for Classification Ensembles. - Shuo Wang 005; Xin Yao 001 (ICDM Workshops, 2010)

Negative correlation learning for classification ensembles. - Shuo Wang 005; Huanhuan Chen; Xin Yao 001 (IJCNN, 2010)

Ensemble diversity for class imbalance learning. - Shuo Wang 005 (2011)

Multiclass Imbalance Problems: Analysis and Potential Solutions. - Shuo Wang 005; Xin Yao 001 (IEEE Trans. Syst. Man Cybern. Part B, 2012)

A learning framework for online class imbalance learning. - Shuo Wang 005; Leandro L. Minku; Xin Yao 001 (CIEL, 2013)

Concept drift detection for online class imbalance learning. - Shuo Wang 005; Leandro L. Minku; Davide Ghezzi; Daniele Caltabiano; Peter Tiño; Xin Yao 001 (IJCNN, 2013)

Online Class Imbalance Learning and its Applications in Fault Detection. - Shuo Wang 005; Leandro L. Minku; Xin Yao 001 (Int. J. Comput. Intell. Appl., 2013)

Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures. - Shuo Wang 005; Xin Yao 001 (IEEE Trans. Knowl. Data Eng., 2013)

Using Class Imbalance Learning for Software Defect Prediction. - Shuo Wang 005; Xin Yao 001 (IEEE Trans. Reliab., 2013)

A multi-objective ensemble method for online class imbalance learning. - Shuo Wang 005; Leandro L. Minku; Xin Yao 001 (IJCNN, 2014)

A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem. - Ronghua Shang; Yuying Wang; Jia Wang; Licheng Jiao; Shuo Wang 005; Liping Qi (Inf. Sci., 2014)

A novel dynamic rough subspace based selective ensemble. - Yuwei Guo 001; Licheng Jiao; Shuang Wang 001; Shuo Wang 005; Fang Liu 001; Kaixuan Rong; Tao Xiong (Pattern Recognit., 2015)

Resampling-Based Ensemble Methods for Online Class Imbalance Learning. - Shuo Wang 005; Leandro L. Minku; Xin Yao 001 (IEEE Trans. Knowl. Data Eng., 2015)

Dealing with Multiple Classes in Online Class Imbalance Learning. - Shuo Wang 005; Leandro L. Minku; Xin Yao 001 (IJCAI, 2016)

Online Ensemble Learning of Data Streams with Gradually Evolved Classes. - Yu Sun 019; Ke Tang 001; Leandro L. Minku; Shuo Wang 005; Xin Yao 001 (IEEE Trans. Knowl. Data Eng., 2016)

Common Techniques for Self-awareness and Self-expression. - Shuo Wang 005; Georg Nebehay; Lukas Esterle; Kristian Nymoen; Leandro L. Minku (Self-aware Computing Systems, 2016)

Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17). - Shuo Wang 005; Leandro L. Minku; Nitesh V. Chawla; Xin Yao 001 (CoRR, 2017)

To Adapt or Not to Adapt?: Technical Debt and Learning Driven Self-Adaptation for Managing Runtime Performance. - Tao Chen 001; Rami Bahsoon; Shuo Wang 005; Xin Yao 001 (ICPE, 2018)

Fuzzy Sparse Autoencoder Framework for Single Image Per Person Face Recognition. - Yuwei Guo 001; Licheng Jiao; Shuang Wang 001; Shuo Wang 005; Fang Liu 001 (IEEE Trans. Cybern., 2018)

Fuzzy Superpixels for Polarimetric SAR Images Classification. - Yuwei Guo 001; Licheng Jiao; Shuang Wang 001; Shuo Wang 005; Fang Liu 001; Wenqiang Hua (IEEE Trans. Fuzzy Syst., 2018)

A Systematic Study of Online Class Imbalance Learning With Concept Drift. - Shuo Wang 005; Leandro L. Minku; Xin Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Learning from data streams and class imbalance. - Shuo Wang 005; Leandro L. Minku; Nitesh V. Chawla; Xin Yao 001 (Connect. Sci., 2019)

Learning in the presence of class imbalance and concept drift. - Shuo Wang 005; Leandro L. Minku; Nitesh V. Chawla; Xin Yao 001 (Neurocomputing, 2019)

Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. - Ke Li 001; Zilin Xiang; Tao Chen 001; Shuo Wang 005; Kay Chen Tan (ICSE, 2020)

AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes. - Shuo Wang 005; Leandro L. Minku (IJCNN, 2020)

Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. - Ke Li 001; Zilin Xiang; Tao Chen 001; Shuo Wang 005; Kay Chen Tan (CoRR, 2020)

An Experimental Study of Class Imbalance in Federated Learning. - Chenguang Xiao; Shuo Wang 005 (SSCI, 2021)

Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression. - Yaoyao He; Haiyan Li; Shuo Wang 005; Xin Yao 001 (Neurocomputing, 2021)

ITUnet: Integration Of Transformers And Unet For Organs-At-Risk Segmentation. - Hongyu Kan; Jun Shi 007; Minfan Zhao; Zhaohui Wang 002; Wenting Han; Hong An; Zhaoyang Wang; Shuo Wang 005 (EMBC, 2022)

FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation. - Liang Qiao; Qiang Liu; Jun Shi 007; Minfan Zhao; Hongyu Kan; Zhaohui Wang 002; Hong An; Chenguang Xiao; Shuo Wang 005 (EMBC, 2022)

Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification. - Yuwei Guo 001; Licheng Jiao; Rong Qu; Zhuangzhuang Sun; Shuang Wang 001; Shuo Wang 005; Fang Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Online Automated Machine Learning for Class Imbalanced Data Streams. - Zhaoyang Wang; Shuo Wang 005 (IJCNN, 2023)

Triplets Oversampling for Class Imbalanced Federated Datasets. - Chenguang Xiao; Shuo Wang 005 (ECML/PKDD (2), 2023)

Transferring Modality-Aware Pedestrian Attentive Learning for Visible-Infrared Person Re-identification. - Yuwei Guo 001; Wenhao Zhang; Licheng Jiao; Shuang Wang 001; Shuo Wang 005; Fang Liu 001 (CoRR, 2023)

A Novel Neural Network-Based Multiobjective Evolution Lower Upper Bound Estimation Method for Electricity Load Interval Forecast. - Yaoyao He; Jianhua Zhu; Shuo Wang 005 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Guest Editorial: AutoML for Nonstationary Data. - Ran Cheng; Hugo Jair Escalante; Wei-Wei Tu; Jan N. van Rijn; Shuo Wang 005; Yun Yang 003 (IEEE Trans. Artif. Intell., 2024)

Automated Class Imbalance Learning via Few-Shot Multi-Objective Bayesian Optimization With Deep Kernel Gaussian Processes. - Zhaoyang Wang; Shuo Wang 005; Damien Ernst; Chenguang Xiao (IEEE Access, 2025)

Revisiting non-learned operators based deep learning for image classification: a lightweight directional-aware network. - Yuwei Guo 001; Wenhao Zhang; Yupeng Gao; Licheng Jiao; Shuo Wang 005; Jiabo Du; Fang Liu 001 (Artif. Intell. Rev., 2025)