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Shuo Wang 0005
Person information
- affiliation (PhD 2011): University of Birmingham, School of Computer Science, UK
Other persons with the same name
- Shuo Wang — disambiguation page
- Shuo Wang 0001 — Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China
- Shuo Wang 0002 — Hong Kong Polytechnic University, Department of Land Surveying and Geo-Informatics, Hong Kong (and 3 more)
- Shuo Wang 0003 — University of Florida, Department of Electrical and Computer Engineering, Gainesville, FL, USA (and 3 more)
- Shuo Wang 0004 — Beijing University of Posts and Telecommunications, Department of Information and Communications Engineering, China
- Shuo Wang 0006 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Shuo Wang 0007 — University of Bonn, Germany
- Shuo Wang 0008 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China (and 1 more)
- Shuo Wang 0009 — Peking University, School of EECS, Beijing, China (and 1 more)
- Shuo Wang 0010 — Beijing, Normal University, Beijing, China
- Shuo Wang 0011 — Fudan University, Digital Medical Research Center, School of Basic Medical Sciences, Shanghai Key Laboratory of MICCAI, China (and 1 more)
- Shuo Wang 0012 — Monash University, Melbourne, CSIRO, Data61, Cybersecurity CRC, Australia (and 1 more)
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2020 – today
- 2024
- [j17]Ran Cheng, Hugo Jair Escalante, Wei-Wei Tu, Jan N. van Rijn, Shuo Wang, Yun Yang:
Guest Editorial: AutoML for Nonstationary Data. IEEE Trans. Artif. Intell. 5(6): 2456-2457 (2024) - [j16]Yaoyao He, Jianhua Zhu, Shuo Wang:
A Novel Neural Network-Based Multiobjective Evolution Lower Upper Bound Estimation Method for Electricity Load Interval Forecast. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 3069-3083 (2024) - 2023
- [c17]Zhaoyang Wang, Shuo Wang:
Online Automated Machine Learning for Class Imbalanced Data Streams. IJCNN 2023: 1-8 - [c16]Chenguang Xiao, Shuo Wang:
Triplets Oversampling for Class Imbalanced Federated Datasets. ECML/PKDD (2) 2023: 368-383 - [i5]Yuwei Guo, Wenhao Zhang, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu:
Transferring Modality-Aware Pedestrian Attentive Learning for Visible-Infrared Person Re-identification. CoRR abs/2312.07021 (2023) - 2022
- [j15]Yuwei Guo, Licheng Jiao, Rong Qu, Zhuangzhuang Sun, Shuang Wang, Shuo Wang, Fang Liu:
Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c15]Hongyu Kan, Jun Shi, Minfan Zhao, Zhaohui Wang, Wenting Han, Hong An, Zhaoyang Wang, Shuo Wang:
ITUnet: Integration Of Transformers And Unet For Organs-At-Risk Segmentation. EMBC 2022: 2123-2127 - [c14]Liang Qiao, Qiang Liu, Jun Shi, Minfan Zhao, Hongyu Kan, Zhaohui Wang, Hong An, Chenguang Xiao, Shuo Wang:
FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation. EMBC 2022: 4749-4753 - 2021
- [j14]Yaoyao He, Haiyan Li, Shuo Wang, Xin Yao:
Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression. Neurocomputing 430: 121-137 (2021) - [c13]Chenguang Xiao, Shuo Wang:
An Experimental Study of Class Imbalance in Federated Learning. SSCI 2021: 1-7 - [i4]Chenguang Xiao, Shuo Wang:
An Experimental Study of Class Imbalance in Federated Learning. CoRR abs/2109.04094 (2021) - 2020
- [c12]Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan:
Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. ICSE 2020: 566-577 - [c11]Shuo Wang, Leandro L. Minku:
AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes. IJCNN 2020: 1-8 - [i3]Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan:
Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. CoRR abs/2002.03148 (2020)
2010 – 2019
- 2019
- [j13]Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao:
Learning from data streams and class imbalance. Connect. Sci. 31(2): 103-104 (2019) - [j12]Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao:
Learning in the presence of class imbalance and concept drift. Neurocomputing 343: 1-2 (2019) - 2018
- [j11]Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu:
Fuzzy Sparse Autoencoder Framework for Single Image Per Person Face Recognition. IEEE Trans. Cybern. 48(8): 2402-2415 (2018) - [j10]Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu, Wenqiang Hua:
Fuzzy Superpixels for Polarimetric SAR Images Classification. IEEE Trans. Fuzzy Syst. 26(5): 2846-2860 (2018) - [j9]Shuo Wang, Leandro L. Minku, Xin Yao:
A Systematic Study of Online Class Imbalance Learning With Concept Drift. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4802-4821 (2018) - [c10]Tao Chen, Rami Bahsoon, Shuo Wang, Xin Yao:
To Adapt or Not to Adapt?: Technical Debt and Learning Driven Self-Adaptation for Managing Runtime Performance. ICPE 2018: 48-55 - 2017
- [i2]Shuo Wang, Leandro L. Minku, Xin Yao:
A Systematic Study of Online Class Imbalance Learning with Concept Drift. CoRR abs/1703.06683 (2017) - [i1]Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao:
Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17). CoRR abs/1707.09425 (2017) - 2016
- [j8]Yu Sun, Ke Tang, Leandro L. Minku, Shuo Wang, Xin Yao:
Online Ensemble Learning of Data Streams with Gradually Evolved Classes. IEEE Trans. Knowl. Data Eng. 28(6): 1532-1545 (2016) - [c9]Shuo Wang, Leandro L. Minku, Xin Yao:
Dealing with Multiple Classes in Online Class Imbalance Learning. IJCAI 2016: 2118-2124 - [p1]Shuo Wang, Georg Nebehay, Lukas Esterle, Kristian Nymoen, Leandro L. Minku:
Common Techniques for Self-awareness and Self-expression. Self-aware Computing Systems 2016: 113-142 - 2015
- [j7]Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu, Kaixuan Rong, Tao Xiong:
A novel dynamic rough subspace based selective ensemble. Pattern Recognit. 48(5): 1638-1652 (2015) - [j6]Shuo Wang, Leandro L. Minku, Xin Yao:
Resampling-Based Ensemble Methods for Online Class Imbalance Learning. IEEE Trans. Knowl. Data Eng. 27(5): 1356-1368 (2015) - 2014
- [j5]Ronghua Shang, Yuying Wang, Jia Wang, Licheng Jiao, Shuo Wang, Liping Qi:
A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem. Inf. Sci. 277: 609-642 (2014) - [c8]Shuo Wang, Leandro L. Minku, Xin Yao:
A multi-objective ensemble method for online class imbalance learning. IJCNN 2014: 3311-3318 - 2013
- [j4]Shuo Wang, Leandro L. Minku, Xin Yao:
Online Class Imbalance Learning and its Applications in Fault Detection. Int. J. Comput. Intell. Appl. 12(4) (2013) - [j3]Shuo Wang, Xin Yao:
Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures. IEEE Trans. Knowl. Data Eng. 25(1): 206-219 (2013) - [j2]Shuo Wang, Xin Yao:
Using Class Imbalance Learning for Software Defect Prediction. IEEE Trans. Reliab. 62(2): 434-443 (2013) - [c7]Shuo Wang, Leandro L. Minku, Xin Yao:
A learning framework for online class imbalance learning. CIEL 2013: 36-45 - [c6]Shuo Wang, Leandro L. Minku, Davide Ghezzi, Daniele Caltabiano, Peter Tiño, Xin Yao:
Concept drift detection for online class imbalance learning. IJCNN 2013: 1-10 - 2012
- [j1]Shuo Wang, Xin Yao:
Multiclass Imbalance Problems: Analysis and Potential Solutions. IEEE Trans. Syst. Man Cybern. Part B 42(4): 1119-1130 (2012) - 2011
- [b1]Shuo Wang:
Ensemble diversity for class imbalance learning. University of Birmingham, UK, 2011 - 2010
- [c5]Shuo Wang, Xin Yao:
The Effectiveness of a New Negative Correlation Learning Algorithm for Classification Ensembles. ICDM Workshops 2010: 1013-1020 - [c4]Shuo Wang, Huanhuan Chen, Xin Yao:
Negative correlation learning for classification ensembles. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c3]Shuo Wang, Xin Yao:
Diversity analysis on imbalanced data sets by using ensemble models. CIDM 2009: 324-331 - [c2]Shuo Wang, Xin Yao:
Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning. ICDM Workshops 2009: 76-81 - [c1]Shuo Wang, Ke Tang, Xin Yao:
Diversity exploration and negative correlation learning on imbalanced data sets. IJCNN 2009: 3259-3266
Coauthor Index
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