Wei Yu, Wenjian Wang (2026). Enhancing resilience and cost efficiency in multi-microgrids through peer-to-peer energy trading and decentralized energy management systems. Sustainable Energy, Grids and Networks.DOI
Gaoxia Jiang, Jie Su, Senyu Hou, Jia Zhang, Wenjian Wang (2026). Meta-Cognitive Resonance Label Correction for Instance-Dependent Noise. International Joint Conference on Artificial Intelligence.DOI
Husheng Guo, Zhilin Cui, Xufei Zhang, Wenjian Wang (2026). EEdgeGNN: A local enhanced dynamic graph neural network with edge change perception. Pattern Recognition.DOI
Rui Su, Hang Xu, Wendong Zheng, Husheng Guo, Wenjian Wang (2026). Shift-level regulated continual test-time adaptation framework. Data Mining and Knowledge Discovery.DOI
J B Chen, Rui Su, Husheng Guo, Wenjian Wang (2026). Adaptive online layer evolutionary network for dynamic data streams. Information Sciences.DOI
Hang Li Xu, Yuxuan Li, Yaqing Guo, Husheng Guo, Wenjian Wang (2026). OU-Net: A dual-stream architecture for tabular data with ordered and unordered features. Information Sciences.DOI
Husheng Guo, Jingnan Su, Cong Shen, Wenjian Wang (2026). Multi-Objective Joint Optimization of Deep Network: For Online Learning of Streaming Data With Concept Drift. IEEE Transactions on Knowledge and Data Engineering.DOI
Youxi Wu, Yunda Qiao, Jing Liu, Yan Li, Cong Liu, Jianguo Wei, Wenjian Wang (2026). FNP-Miner: Fuzzy three-way nonoverlapping sequential pattern mining. IEEE Transactions on Fuzzy Systems.DOI
Youxi Wu, Shuang Tian, Yan Li, Jing Liu, Jinyan Li, Wenjian Wang, Xindong Wu (2025). OIP-Miner: one-off incremental sequential pattern mining with forgetting factor. Science China Information Sciences.DOI
Mingming Han, Husheng Guo, Gaoxia Jiang, Wenjian Wang (2025). Rethinking Oversampling With Class Alliance Constraints From Data Complexity Perspective. IEEE Transactions on Knowledge and Data Engineering.DOI
Husheng Guo, Zhiyong Wu, ZhengQi Liu, Shuai Zhang, Wenjian Wang (2025). Adaptive interactive network component ensemble for streaming data with concept drift. Data Mining and Knowledge Discovery.DOI
Gaoxia Jiang, Fan Lei, Wenjian Wang (2025). A multi-model dynamic filtering of label noise for regression. Pattern Recognition.DOI
Gaoxia Jiang, Wenjian Wang (2025). An interpretable sample selection framework against numerical label noise. Machine Learning.DOI
Senyu Hou, Yuru Ren, Gaoxia Jiang, Wenjian Wang (2025). Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion. neural information processing systems.DOI
Hangyuan Du, Liu Yang, Liang Bai, Gaoxia Jiang, Lu Bai, WenJian Wang (2025). Contrastive Anomalous User Detection in Recommender Systems via Multi-Semantic Paths. IEEE International Conference on Big Data (BigData).DOI
Anyang Tong, Chao Tang, Wenjian Wang (2024). EMPC: Efficient multi-view parallel co-learning for semi-supervised action recognition. Expert Systems With Applications, Vol. 255.DOI
Husheng Guo, Wu Zhi, Qiaoyan Ren, Wenjian Wang (2024). Accelerating the convergence of concept drift based on knowledge transfer. Pattern Recognition.DOI
Husheng Guo, Yang Zhang, Wenjian Wang (2024). Dynamical Targeted Ensemble Learning for Streaming Data With Concept Drift. IEEE Transactions on Knowledge and Data Engineering.DOI
Meihong Su, Jifu Zhang, Yaqing Guo, Wenjian Wang (2024). ARFIS: An adaptive robust model for regression with heavy-tailed distribution. Information Sciences.DOI
Yan Li, Chenyu Ma, Rong Gao, Youxi Wu, Jinyan Li, Wenjian Wang, Xindong Wu (2024). OPF-Miner: Order-Preserving Pattern Mining With Forgetting Mechanism for Time Series. IEEE Transactions on Knowledge and Data Engineering.DOI
Gaoxia Jiang, Zhengying Li, Wenjian Wang (2024). Maximum a posteriori estimation and filtering algorithm for numerical label noise. Applied Intelligence.DOI
Rui Su, Husheng Guo, Wenjian Wang (2024). Elastic online deep learning for dynamic streaming data. Information Sciences.DOI
Hangyuan Du, Rong Yu, Liang Bai, Lu Bai, Wenjian Wang (2024). Learning structure perception MLPs on graphs: a layer-wise graph knowledge distillation framework. International Journal of Machine Learning and Cybernetics.DOI
Lifang Ren, Jing Li, Wenjian Wang (2024). An SVR-based and Location-aware Method for Mobile QoS Prediction. JUCS - Journal of Universal Computer Science.DOI
Husheng Guo, Hai Helen Li, Cong Da Lu, Wenjian Wang (2024). Online concept evolution detection based on active learning. Data Mining and Knowledge Discovery.DOI
Gaoxia Jiang, Fei Wang, Wenjian Wang (2024). Noise cleaning for nonuniform ordinal labels based on inter-class distance. Applied Intelligence.DOI
Wei Yu, Wenjian Wang (2023). Evaluation of normalized circulantly preconditioned LMS algorithm in active noise reduction. Multiscale and Multidisciplinary Modeling Experiments and Design.DOI
Hangyuan Du, Yuan Liu, Wenjian Wang, Liang Bai (2023). Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation. Lecture notes in computer science.DOI
Qingqiang Chen, Gaoxia Jiang, Fuyuan Cao, Changqian Men, Wenjian Wang (2023). A general elevating framework for label noise filters. Pattern Recognition.DOI
Hang Li Xu, Shuai Ma, Wenjian Wang (2023). An ordered feature recognition method based on ranking separability. Information Sciences.DOI
Yaqing Guo, Wenjian Wang (2023). A robust adaptive linear regression method for severe noise. Knowledge and Information Systems.DOI
Xiaobo Qi, Wenjian Wang, Ying Shi, Hui Qi, Xiaofang Mu (2023). AGURF: An adaptive general unified representation frame for imbalanced interval-valued data. Information Sciences.DOI
Hangyuan Du, Wenjian Wang, Liang Bai (2023). Dual-channel embedding learning model for partially labeled attributed networks. Pattern Recognition.DOI
Husheng Guo, Haosen Xia, Hai Helen Li, Wenjian Wang (2023). Concept evolution detection based on noise reduction soft boundary. Information Sciences.DOI
Mingming Han, Husheng Guo, Jinyan Li, Wenjian Wang (2022). Global-local information based oversampling for multi-class imbalanced data. International Journal of Machine Learning and Cybernetics.DOI
Husheng Guo, Hai Helen Li, Ni Sun, Qiaoyan Ren, Aijuan Zhang, Wenjian Wang (2022). Concept drift detection and accelerated convergence of online learning. Knowledge and Information Systems.DOI
Hangyuan Du, Wenjian Wang (2022). A Clustering Ensemble Framework with Integration of Data Characteristics and Structure Information: A Graph Neural Networks Approach. Mathematics.DOI
Xiaofang Gao, Jiye Liang, Wenjian Wang, Xuefei Bai, Lina Jia (2022). An unsupervised multi-manifold discriminant isomap algorithm based on the pairwise constraints. International Journal of Machine Learning and Cybernetics.DOI
Hangyuan Du, Wenjian Wang, Liang Bai, Jinsong Feng (2022). A Generative Clustering Ensemble Model and Its Application in IoT Data Analysis. Wireless Communications and Mobile Computing.DOI
Hangyuan Du, Duo Li, WenJian Wang (2022). Abnormal User Detection via Multiview Graph Clustering in the Mobile e‐Commerce Network. Wireless Communications and Mobile Computing.DOI
Husheng Guo, Hai Helen Li, Qiaoyan Ren, Wenjian Wang (2021). Concept drift type identification based on multi-sliding windows. Information Sciences.DOI
Husheng Guo, Shuai Zhang, Wenjian Wang (2021). Selective ensemble-based online adaptive deep neural networks for streaming data with concept drift. Neural Networks.DOI
Meihong Su, Wenjian Wang (2021). A network Lasso model for regression. Communication in Statistics- Theory and Methods.DOI
Meihong Su, Wenjian Wang (2021). Elastic net penalized quantile regression model. Journal of Computational and Applied Mathematics.DOI
Xiaobo Qi, Husheng Guo, Wenjian Wang (2021). A reliable KNN filling approach for incomplete interval-valued data. Engineering Applications of Artificial Intelligence.DOI
Yaqing Guo, Wenjian Wang, Xuejun Wang (2021). A Robust Linear Regression Feature Selection Method for Data Sets with Unknown Noise. IEEE Transactions on Knowledge and Data Engineering.DOI
Hang Li Xu, Lifang Ren, Wenjian Wang (2020). A Service Selection Method Based on Ordinal Classification for Historical Records. IEEE Transactions on Services Computing.DOI
Husheng Guo, Aijuan Zhang, Wenjian Wang (2020). An accelerator for online SVM based on the fixed-size KKT window. Engineering Applications of Artificial Intelligence.DOI
Xuejun Wang, Wenjian Wang, Changqian Men (2020). An adaptive kernel sparse representation-based classification. International Journal of Machine Learning and Cybernetics.DOI
Meihong Su, Yaqing Guo, Changqian Men, Wenjian Wang (2020). Correction to: A robust self-weighted SELO regression model. International Journal of Machine Learning and Cybernetics.DOI
Lin Li, Wenjian Wang, Zhenhai Gao (2020). Driver’s Social Relationship Based Clustering and Transmission in Vehicle Ad Hoc Networks (VANETs). Electronics.DOI
Xiaobo Qi, Husheng Guo, Zadorozhnyi Artem, Wenjian Wang (2020). An Interval-Valued Data Classification Method Based on the Unified Representation Frame. IEEE Access.DOI
Gui Yang, Wenping Zheng, Chenhao Che, Wenjian Wang (2019). Graph-based label propagation algorithm for community detection. International Journal of Machine Learning and Cybernetics.DOI
Lifang Ren, Wenjian Wang (2019). A Granular SVM-Based Method for Top-N Web Services Recommendation. IEEE Transactions on Services Computing.DOI
Meihong Su, Yaqing Guo, Changqian Men, Wenjian Wang (2019). A robust self-weighted SELO regression model. International Journal of Machine Learning and Cybernetics.DOI
Liang Yuan, Wenjian Wang, Lifei Chen (2017). Two-stage pruning method for gram-based categorical sequence clustering. International Journal of Machine Learning and Cybernetics.DOI
Meng Tian, Wenjian Wang (2017). Some sets of orthogonal polynomial kernel functions. Applied Soft Computing.DOI
Lifang Ren, Wenjian Wang (2017). An SVM-based collaborative filtering approach for Top-N web services recommendation. Future Generation Computer Systems.DOI
Lifang Ren, Wenjian Wang, Hang Li Xu (2017). A Reinforcement Learning Method for Constraint-Satisfied Services Composition. IEEE Transactions on Services Computing.DOI
Hang Li Xu, Wenjian Wang, Yuhua Qian (2017). Fusing Complete Monotonic Decision Trees. IEEE Transactions on Knowledge and Data Engineering.DOI
Husheng Guo, Wenjian Wang (2017). Granular support vector machine: a review. Artificial Intelligence Review.DOI
Gaoxia Jiang, Wenjian Wang (2017). Error estimation based on variance analysis of k -fold cross-validation. Pattern Recognition.DOI
Rui Zhang, Wenjian Wang (2011). Facilitating the applications of support vector machine by using a new kernel. Expert Systems With Applications, Vol. 38, No. 11.DOI
Rui Zhang, Wenjian Wang (2011). Learning Linear and Nonlinear PCA with Linear Programming. Neural Processing Letters.DOI
Rui Zhang, Wenjian Wang, Yichen Ma (2010). Approximations of the standard principal components analysis and kernel PCA. Expert Systems With Applications, Vol. 37, No. 9.DOI
彭军军，王文剑，杨水林（2010）. SPIHT算法研究及改进. 《信息技术与信息化》.
李月香，刘燕，袁涛，王文剑（2009）. 基于加速度信号的走路模式多级分类算法. 《电子学报》.
Guisheng Zhang, Wenjian Wang, Ping Wang (2009). Incorporating Method of Invariance and SVM Based on the Best Approximate Point.DOI
Husheng Guo, Wenjian Wang, Changqian Men (2009). A novel learning model-Kernel Granular Support Vector Machine. International Conference on Machine Learning and Cybernetics.DOI
Rui Zhang, Wenjian Wang, Yichen Ma, Changqian Men (2009). Least Square Transduction Support Vector Machine. Neural Processing Letters.DOI
Wenjian Wang (2009). Research on SVM learning algorithms based on neural networks. Computer Engineering and Applications Journal.
Wenjian Wang (2009). A Kernel Granular Support Vector Machine Based on Association Rules. Journal of Guangxi Normal University.
张妤，王文剑，康向平（2008）. 一种回归SVM选择性集成方法. 《计算机科学》.
侯岩，王文剑（2008）. 一种基于动态特征词典的SVM中文电子邮件过滤方法. 《计算机科学》.
王文剑（2008）. 电信行业发展ICT业务的现状及问题浅析. 《电信技术》.
王平，王文剑（2008）. 基于最佳逼近点的不变性常识与SVM的融合方法. 《计算机工程与设计》.
Changqian Men, Wenjian Wang (2008). Selection of Gaussian Kernel Parameter for SVM Based on Convex Estimation. Lecture notes in computer science.DOI
Wenjian Wang, Liang Ma (2008). An Estimation of the Optimal Gaussian Kernel Parameter for Support Vector Classification. Lecture notes in computer science.DOI
Wenjian Wang (2008). A redundant incremental learning algorithm for SVM. International Conference on Machine Learning and Cybernetics.DOI
Wenjian Wang, Changqian Men, Jane W. Z. Lu (2007). Online prediction model based on support vector machine. Neurocomputing.DOI
Wenjian Wang (2007). Approach to Choose Kernel Parameters for SVC Based on Data Isolation. Journal of Guangxi Normal University.
门昌骞，王文剑（2006）. 基于凸包估计的核参数选择方法. 《计算机工程与设计》.
Wenjian Wang (2006). Kernel parameter selection method based on estimation of convex. Jisuanji gongcheng yu sheji.
Wenjian Wang (2005). An Incremental Learning Strategy for Support Vector Regression. Neural Processing Letters.DOI
孟德宇，王文剑（2004）. 解决多维全局最优问题的一种新方法. 《计算机工程与设计》.
Jane W. Z. Lu, Wenjian Wang (2004). Potential assessment of the “support vector machine” method in forecasting ambient air pollutant trends. Chemosphere.DOI
Wenjian Wang, Zongben Xu (2004). A heuristic training for support vector regression. Neurocomputing.DOI
Jane W. Z. Lu, Wenjian Wang, Xiekang Wang, Sui-Hang Yan, Joseph C. Lam (2004). Potential assessment of a neural network model with PCA/RBF approach for forecasting pollutant trends in Mong Kok urban air, Hong Kong. Environmental Research.DOI
Wenjian Wang, Zongben Xu, Jane W. Z. Lu, Xiaoyun Zhang (2003). Determination of the spread parameter in the Gaussian kernel for classification and regression. Neurocomputing.DOI
Jane W. Z. Lu, Huiyuan Fan, Wenjian Wang, Siuming Lo, A.Y.T. Leung (2003). Prediction of respirable suspended particulate level in Hong Kong downtown area using principal component analysis and artificial neural networks. World Congress on Intelligent Control and Automation.DOI
Wenjian Wang, Jane W. Z. Lu, Xiekang Wang, Andrew Y. T. Leung (2003). Prediction of maximum daily ozone level using combined neural network and statistical characteristics. Environment International.DOI
Wenjian Wang, Zongben Xu, Jane W. Z. Lu (2003). Three improved neural network models for air quality forecasting. Engineering Computations.DOI
Wenjian Wang, Husheng Guo, Yutong Zhang, Ni Sun (2023). Adaptive Hybrid Ensemble Method for Accelerate Adaptation of Concept Drift. Research Square.DOI