Shuo Wang - RankMe

46 papers A* 2A 1B 8C 1Journal 24Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automated Class Imbalance Learning via Few-Shot Multi-Objective Bayesian Optimization With Deep Kernel Gaussian Processes. IEEE Access Zhaoyang Wang, Shuo Wang, Damien Ernst, Chenguang Xiao
2025	B	`conf`	Automated Class Imbalance Learning via Few-shot Bayesian Optimization with Meta-learned Deep Kernel Surrogates. IJCNN Zhaoyang Wang, Shuo Wang, Damien Ernst
2025	A	`conf`	BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting. CIKM Shiqiao Zhou, Holger Schöner, Huanbo Lyu, Edouard Fouché, Shuo Wang
2025	—	`conf`	Learning on the Edge for Sensor Role Allocation in BLE IoT devices. BuildSys Freya Wentzel, Ganesh Ramanathan, Zoya Pourmirza, Shuo Wang
2025	J	`jnl`	Revisiting non-learned operators based deep learning for image classification: a lightweight directional-aware network. Artif. Intell. Rev. Yuwei Guo, Wenhao Zhang, Yupeng Gao, Licheng Jiao, Shuo Wang, Jiabo Du, Fang Liu
2024	J	`jnl`	A Novel Neural Network-Based Multiobjective Evolution Lower Upper Bound Estimation Method for Electricity Load Interval Forecast. IEEE Trans. Syst. Man Cybern. Syst. Yaoyao He, Jianhua Zhu, Shuo Wang
2024	J	`jnl`	Guest Editorial: AutoML for Nonstationary Data. IEEE Trans. Artif. Intell. Ran Cheng, Hugo Jair Escalante, Wei-Wei Tu, Jan N. van Rijn, Shuo Wang, Yun Yang
2023	B	`conf`	Online Automated Machine Learning for Class Imbalanced Data Streams. IJCNN Zhaoyang Wang, Shuo Wang
2023	J	`jnl`	Transferring Modality-Aware Pedestrian Attentive Learning for Visible-Infrared Person Re-identification. CoRR Yuwei Guo, Wenhao Zhang, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu
2023	—	`conf`	Triplets Oversampling for Class Imbalanced Federated Datasets. ECML/PKDD (2) Chenguang Xiao, Shuo Wang
2022	J	`jnl`	Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. Yuwei Guo, Licheng Jiao, Rong Qu, Zhuangzhuang Sun, Shuang Wang, Shuo Wang, Fang Liu
2022	—	`conf`	FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation. EMBC Liang Qiao, Qiang Liu, Jun Shi, Minfan Zhao, Hongyu Kan, Zhaohui Wang, Hong An, Chenguang Xiao, Shuo Wang
2022	—	`conf`	ITUnet: Integration Of Transformers And Unet For Organs-At-Risk Segmentation. EMBC Hongyu Kan, Jun Shi, Minfan Zhao, Zhaohui Wang, Wenting Han, Hong An, Zhaoyang Wang, Shuo Wang
2021	—	`conf`	An Experimental Study of Class Imbalance in Federated Learning. SSCI Chenguang Xiao, Shuo Wang
2021	J	`jnl`	An Experimental Study of Class Imbalance in Federated Learning. CoRR Chenguang Xiao, Shuo Wang
2021	J	`jnl`	Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression. Neurocomputing Yaoyao He, Haiyan Li, Shuo Wang, Xin Yao
2020	B	`conf`	AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes. IJCNN Shuo Wang, Leandro L. Minku
2020	J	`jnl`	Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. CoRR Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan
2020	A*	`conf`	Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. ICSE Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan
2019	J	`jnl`	Learning from data streams and class imbalance. Connect. Sci. Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao
2019	J	`jnl`	Learning in the presence of class imbalance and concept drift. Neurocomputing Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao
2018	J	`jnl`	A Systematic Study of Online Class Imbalance Learning With Concept Drift. IEEE Trans. Neural Networks Learn. Syst. Shuo Wang, Leandro L. Minku, Xin Yao
2018	J	`jnl`	Fuzzy Sparse Autoencoder Framework for Single Image Per Person Face Recognition. IEEE Trans. Cybern. Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu
2018	J	`jnl`	Fuzzy Superpixels for Polarimetric SAR Images Classification. IEEE Trans. Fuzzy Syst. Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu, Wenqiang Hua
2018	B	`conf`	To Adapt or Not to Adapt?: Technical Debt and Learning Driven Self-Adaptation for Managing Runtime Performance. ICPE Tao Chen, Rami Bahsoon, Shuo Wang, Xin Yao
2017	J	`jnl`	A Systematic Study of Online Class Imbalance Learning with Concept Drift. CoRR Shuo Wang, Leandro L. Minku, Xin Yao
2017	J	`jnl`	Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17). CoRR Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao
2016	—	`ch.`	Common Techniques for Self-awareness and Self-expression. Self-aware Computing Systems Shuo Wang, Georg Nebehay, Lukas Esterle, Kristian Nymoen, Leandro L. Minku
2016	A*	`conf`	Dealing with Multiple Classes in Online Class Imbalance Learning. IJCAI Shuo Wang, Leandro L. Minku, Xin Yao
2016	J	`jnl`	Online Ensemble Learning of Data Streams with Gradually Evolved Classes. IEEE Trans. Knowl. Data Eng. Yu Sun, Ke Tang, Leandro L. Minku, Shuo Wang, Xin Yao
2015	J	`jnl`	A novel dynamic rough subspace based selective ensemble. Pattern Recognit. Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu, Kaixuan Rong, Tao Xiong
2015	J	`jnl`	Resampling-Based Ensemble Methods for Online Class Imbalance Learning. IEEE Trans. Knowl. Data Eng. Shuo Wang, Leandro L. Minku, Xin Yao
2014	B	`conf`	A multi-objective ensemble method for online class imbalance learning. IJCNN Shuo Wang, Leandro L. Minku, Xin Yao
2014	J	`jnl`	A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem. Inf. Sci. Ronghua Shang, Yuying Wang, Jia Wang, Licheng Jiao, Shuo Wang, Liping Qi
2013	—	`conf`	A learning framework for online class imbalance learning. CIEL Shuo Wang, Leandro L. Minku, Xin Yao
2013	B	`conf`	Concept drift detection for online class imbalance learning. IJCNN Shuo Wang, Leandro L. Minku, Davide Ghezzi, Daniele Caltabiano, Peter Tiño, Xin Yao
2013	J	`jnl`	Online Class Imbalance Learning and its Applications in Fault Detection. Int. J. Comput. Intell. Appl. Shuo Wang, Leandro L. Minku, Xin Yao
2013	J	`jnl`	Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures. IEEE Trans. Knowl. Data Eng. Shuo Wang, Xin Yao
2013	J	`jnl`	Using Class Imbalance Learning for Software Defect Prediction. IEEE Trans. Reliab. Shuo Wang, Xin Yao
2012	J	`jnl`	Multiclass Imbalance Problems: Analysis and Potential Solutions. IEEE Trans. Syst. Man Cybern. Part B Shuo Wang, Xin Yao
2011	—	`—`	Ensemble diversity for class imbalance learning. Shuo Wang
2010	B	`conf`	Negative correlation learning for classification ensembles. IJCNN Shuo Wang, Huanhuan Chen, Xin Yao
2010	—	`conf`	The Effectiveness of a New Negative Correlation Learning Algorithm for Classification Ensembles. ICDM Workshops Shuo Wang, Xin Yao
2009	C	`conf`	Diversity analysis on imbalanced data sets by using ensemble models. CIDM Shuo Wang, Xin Yao
2009	B	`conf`	Diversity exploration and negative correlation learning on imbalanced data sets. IJCNN Shuo Wang, Ke Tang, Xin Yao
2009	—	`conf`	Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning. ICDM Workshops Shuo Wang, Xin Yao