Xizhao Wang - RankMe

265 papers A* 1B 25C 2Misc 14Journal 193Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive and Robust DBSCAN With Multi-Agent Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Hao Peng, Xiang Huang, Shuo Sun, Ruitong Zhang, Xizhao Wang, Philip S. Yu
2026	J	`jnl`	An efficient new method for traveling salesman problem using discrete evolutionary algorithm with special encoding and novel optimization strategy. Swarm Evol. Comput. Yichao He, Guoxin Chen, Xizhao Wang, Haibin Ouyang, Manman Meng, Ju Chen
2026	J	`jnl`	GNS2CCL: A graph network semi-supervised concept-cognitive learning model for node classification. Pattern Recognit. Mengyu Yan, Jinhai Li, Xizhao Wang
2026	J	`jnl`	Generalized Active Stratified Sampling for Non-IID Data. IEEE Trans. Knowl. Data Eng. Yanxue Wu, Qi Wang, Fan Min, Xizhao Wang, Min Wang
2026	J	`jnl`	Uncertain multi-conceptual information acquisition and fusion for hierarchical classification. Inf. Fusion Xiaoyuan Deng, Jinhai Li, Weiping Ding, Xizhao Wang
2025	J	`jnl`	A study on generalization of random weight network with flat loss. Neurocomputing Chao Liu, Qiang Liu, Rihao Li, Xinlei Zhou, Mustafa Servet Kiran, Xizhao Wang
2025	J	`jnl`	Bilinear-experts network with self-adaptive sampler for long-tailed visual recognition. Neurocomputing Qin Wang, Sam Kwong, Xizhao Wang
2025	J	`jnl`	Granule Margin-Based Feature Selection in Weighted Neighborhood Systems. IEEE Trans. Cybern. Can Gao, Jie Zhou, Xizhao Wang, Witold Pedrycz
2025	B	`conf`	Learning protein-ligand binding affinities through an uncertainty-aware attention mechanism. SMC Debby D. Wang, Tianlun Zhang, Xizhao Wang
2025	J	`jnl`	MAGNet: A multimodal knowledge-augmented graph network for early-stage misinformation detection. Neurocomputing Jinghong Wang, Hongbo Yang, Xizhao Wang, Wei Wang, Yanan Li
2025	J	`jnl`	Multi-level information fusion for missing multi-label learning based on stochastic concept clustering. Inf. Fusion Zhiming Liu, Jinhai Li, Xiao Zhang, Xizhao Wang
2025	J	`jnl`	Optimal meso-granularity selection for classification based on Bayesian optimization. Knowl. Based Syst. Qiangqiang Chen, Mengyu Yan, Jinhai Li, Xizhao Wang
2025	J	`jnl`	RVFL-LSTM: A lightweight model with long-short term memory for time series. Knowl. Based Syst. Qiang Liu, Qin Wang, Xizhao Wang
2025	J	`jnl`	Semantic Correlation Transfer for Heterogeneous Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. Ying Zhao, Shuang Li, Rui Zhang, Chi Harold Liu, Weipeng Cao, Xizhao Wang, Song Tian
2025	J	`jnl`	Semi-supervised segmentation on medical images with pseudo label calibration and neural process. Neural Networks Tianlun Zhang, Yuxuan Luo, Xizhao Wang, Sam Kwong
2025	J	`jnl`	Uncertainty modeling for inductive knowledge graph embedding. Neural Networks Chao Liu, Sam Kwong, Xizhao Wang
2024	J	`jnl`	A novel discrete differential evolution algorithm combining transfer function with modulo operation for solving the multiple knapsack problem. Inf. Sci. Lina Wang, Yichao He, Xizhao Wang, Zihang Zhou, Haibin Ouyang, Seyedali Mirjalili
2024	J	`jnl`	Anchorwise Fuzziness Modeling in Convolution-Transformer Neural Network for Left Atrium Image Segmentation. IEEE Trans. Fuzzy Syst. Tianlun Zhang, Xizhao Wang
2024	J	`jnl`	Attribute reduction with fuzzy kernel-induced relations. Inf. Sci. Meng Hu, Yanting Guo, Ran Wang, Xizhao Wang
2024	J	`jnl`	Concept-cognitive learning survey: Mining and fusing knowledge from data. Inf. Fusion Doudou Guo, Weihua Xu, Weiping Ding, Yiyu Yao, Xizhao Wang, Witold Pedrycz, Yuhua Qian
2024	J	`jnl`	Domain-incremental learning without forgetting based on random vector functional link networks. Pattern Recognit. Chong Liu, Yi Wang, Dong Li, Xizhao Wang
2024	J	`jnl`	Empirical study of outlier impact in classification context. Expert Syst. Appl. Hufsa Khan, Muhammad Tahir Rasheed, Shengli Zhang, Xizhao Wang, Han Liu
2024	Misc	`conf`	Enhancing Drug-Drug Interaction Prediction by Knowledge Graph Embedding. ICMLC Chao Liu, Xizhao Wang, Qiang Liu
2024	J	`jnl`	Feature similarity learning based on fuzziness minimization for semi-supervised medical image segmentation. Inf. Fusion Tianlun Zhang, Xinlei Zhou, Debby Dan Wang, Xizhao Wang
2024	J	`jnl`	Fuzzy Clustering Guided by Spectral Rotation and Scaling. IEEE Trans. Cybern. Jie Zhou, Ge Yuan, Can Gao, Xizhao Wang, Jianhua Dai, Witold Pedrycz
2024	J	`jnl`	Guest Editorial Data-Driven Innovation and Adversarial Learning Models for Industry 5.0 Toward Consumer Digital Ecosystems. IEEE Trans. Consumer Electron. Arun Kumar Sangaiah, Xizhao Wang, Mohammad S. Obaidat, Patrick C. K. Hung, Kannan Govindan
2024	J	`jnl`	Modeling and solving of knapsack problem with setup based on evolutionary algorithm. Math. Comput. Simul. Yichao He, Jinghong Wang, Xuejing Liu, Xizhao Wang, Haibin Ouyang
2024	B	`conf`	On the Adversarial Robustness of Hierarchical Classification. SMC Ran Wang, Simeng Zeng, Wenhui Wu, Yuheng Jia, Wing W. Y. Ng, Xizhao Wang
2024	J	`jnl`	Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning. IEEE Trans. Neural Networks Learn. Syst. Jie Zhou, Can Gao, Xizhao Wang, Zhihui Lai, Jun Wan, Xiaodong Yue
2024	Misc	`conf`	Uncertainty-Aware Modeling for Improving Prediction of Toxicity. ICMLC Xinlei Zhou, Xizhao Wang, Xinpeng Zhou, Siwu Tu, Ran Wang
2023	J	`jnl`	A broad review on class imbalance learning techniques. Appl. Soft Comput. Salim Rezvani, Xizhao Wang
2023	J	`jnl`	A mathematical model for efficient extraction of key locations from point-cloud data in track area. Ind. Artif. Intell. Shuyue Chen, Jiaolv Wu, Jian Lu, Xizhao Wang
2023	J	`jnl`	A study on relationship between prediction uncertainty and robustness to noisy data. Int. J. Syst. Sci. Hufsa Khan, Xizhao Wang, Han Liu
2023	J	`jnl`	A two-stage approach based on Bayesian deep learning for predicting remaining useful life of rolling element bearings. Comput. Electr. Eng. Kaijian Chen, Jingna Liu, Wenwu Guo, Xizhao Wang
2023	J	`jnl`	Adversarial Learning With Cost-Sensitive Classes. IEEE Trans. Cybern. Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang
2023	J	`jnl`	Algorithm for orthogonal matrix nearness and its application to feature representation. Inf. Sci. Shiping Wang, Xincan Lin, Yiqing Shi, Xizhao Wang
2023	Misc	`conf`	An End-to-End Training Method to Ensemble Bi-Linear Models for Knowledge Graph Completion. ICMLC Si Cen, Han Liu, Chao Liu, Xiaoying Zou, Guoquan Dai, Xizhao Wang
2023	J	`jnl`	Cost-Sensitive Active Learning for Incomplete Data. IEEE Trans. Syst. Man Cybern. Syst. Min Wang, Chunyu Yang, Fei Zhao, Fan Min, Xizhao Wang
2023	J	`jnl`	ELM parameter estimation in view of maximum likelihood. Neurocomputing Lanzhen Yang, Eric C. C. Tsang, Xizhao Wang, Chengling Zhang
2023	J	`jnl`	Evolving stochastic configure network: A more compact model with interpretability. Inf. Sci. Qin Wang, Jingna Liu, Wenwu Guo, Xizhao Wang
2023	J	`jnl`	Fine-Grained Visual Categorization: A Spatial-Frequency Feature Fusion Perspective. IEEE Trans. Circuits Syst. Video Technol. Min Wang, Peng Zhao, Xin Lu, Fan Min, Xizhao Wang
2023	J	`jnl`	Guest Editorial Cognitive Cyber-Physical Systems With AI Based Solutions in Medical Informatics. IEEE J. Biomed. Health Informatics Arun Kumar Sangaiah, Xizhao Wang, Yi-Bing Lin, Jianwei Niu, Xiaohui Yuan
2023	J	`jnl`	Incremental reduction methods based on granular ball neighborhood rough sets and attribute grouping. Int. J. Approx. Reason. Yan Li, Xiaoxue Wu, Xizhao Wang
2023	Misc	`conf`	Local Weighted Neighborhood Rough Sets for Weakly Labeled Data. ICMLC Yanting Guo, Meng Hu, Qiang Liu, Eric C. C. Tsang, Xizhao Wang
2023	J	`jnl`	Multifuzzy $\beta$-Covering Approximation Spaces and Their Information Measures. IEEE Trans. Fuzzy Syst. Jianhua Dai, Xiongtao Zou, Yuhua Qian, Xizhao Wang
2023	J	`jnl`	New attention strategy for negative sampling in knowledge graph embedding. Appl. Intell. Si Cen, Xizhao Wang, Xiaoying Zou, Chao Liu, Guoquan Dai
2023	J	`jnl`	Uncertainty guided pruning of classification model tree. Knowl. Based Syst. Xinlei Zhou, Sudong Chen, Nianjiao Peng, Xinpeng Zhou, Xizhao Wang
2023	Misc	`conf`	Unsupervised Community Discovery Algorithm via Reconstructed Graph Neural NEtwork. ICMLC Jinghong Wang, Hui Wang, Jiateng Yang, Xizhao Wang
2022	J	`jnl`	A robust approach to attribute reduction based on double fuzzy consistency measure. Knowl. Based Syst. Yanting Guo, Meng Hu, Xizhao Wang, Eric C. C. Tsang, Degang Chen, Weihua Xu
2022	J	`jnl`	A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications. Neurocomputing Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang
2022	J	`jnl`	Adjustable super-resolution network via deep supervised learning and progressive self-distillation. Neurocomputing Juncheng Li, Faming Fang, Tieyong Zeng, Guixu Zhang, Xizhao Wang
2022	J	`jnl`	An Accelerator for Rule Induction in Fuzzy Rough Theory. CoRR Suyun Zhao, Zhi-Gang Dai, Xizhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li
2022	J	`jnl`	Correction to: Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. Yulin He, Xizhao Wang, Joshua Zhexue Huang
2022	J	`jnl`	Fuzzy Monotonic K-Nearest Neighbor Versus Monotonic Fuzzy K-Nearest Neighbor. IEEE Trans. Fuzzy Syst. Hong Zhu, Xizhao Wang, Ran Wang
2022	J	`jnl`	Handling missing data through deep convolutional neural network. Inf. Sci. Hufsa Khan, Xizhao Wang, Han Liu
2022	J	`jnl`	Intuitionistic fuzzy twin support vector machines for imbalanced data. Neurocomputing Salim Rezvani, Xizhao Wang
2022	J	`jnl`	Knowledge graph embedding with self adaptive double-limited loss. Knowl. Based Syst. Xiaoying Zou, Xizhao Wang, Si Cen, Guoquan Dai, Chao Liu
2022	J	`jnl`	Learning to recommend journals for submission based on embedding models. Neurocomputing Chao Liu, Xizhao Wang, Han Liu, Xiaoying Zou, Si Cen, Guoquan Dai
2022	J	`jnl`	MFF: Multi-modal feature fusion for zero-shot learning. Neurocomputing Weipeng Cao, Yuhao Wu, Chengchao Huang, Muhammed J. A. Patwary, Xizhao Wang
2022	J	`jnl`	MRGAT: Multi-Relational Graph Attention Network for knowledge graph completion. Neural Networks Guoquan Dai, Xizhao Wang, Xiaoying Zou, Chao Liu, Si Cen
2022	J	`jnl`	Multi-Instance Ensemble Learning With Discriminative Bags. IEEE Trans. Syst. Man Cybern. Syst. Mei Yang, Yu-Xuan Zhang, Xizhao Wang, Fan Min
2022	J	`jnl`	Oracle-guided Contrastive Clustering. CoRR Mengdie Wang, Liyuan Shang, Suyun Zhao, Yiming Wang, Hong Chen, Cuiping Li, Xizhao Wang
2022	J	`jnl`	Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. Yulin He, Xizhao Wang, Joshua Zhexue Huang
2022	J	`jnl`	Stable matching-based two-way selection in multi-label active learning with imbalanced data. Inf. Sci. Shuyue Chen, Ran Wang, Jian Lu, Xizhao Wang
2022	J	`jnl`	Towards improving fast adversarial training in multi-exit network. Neural Networks Sihong Chen, Haojing Shen, Ran Wang, Xizhao Wang
2021	—	`conf`	A Novel Approach to Ship Operational Risk Analysis Based on D-S Evidence Theory. NCAA Tao Liu, Yuanzi Zhou, Junzhong Bao, Xizhao Wang, Pengfei Zhang
2021	J	`jnl`	A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. CoRR Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang
2021	J	`jnl`	AdvKin: Adversarial Convolutional Network for Kinship Verification. IEEE Trans. Cybern. Lei Zhang, Qingyan Duan, David Zhang, Wei Jia, Xizhao Wang
2021	J	`jnl`	Adversarial Learning with Cost-Sensitive Classes. CoRR Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang
2021	J	`jnl`	An Accelerator for Rule Induction in Fuzzy Rough Theory. IEEE Trans. Fuzzy Syst. Suyun Zhao, Zhi-Gang Dai, Xizhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li
2021	J	`jnl`	Bidirectional stochastic configuration network for regression problems. Neural Networks Weipeng Cao, Zhongwu Xie, Jianqiang Li, Zhiwu Xu, Zhong Ming, Xizhao Wang
2021	J	`jnl`	Class imbalance learning using fuzzy ART and intuitionistic fuzzy twin support vector machines. Inf. Sci. Salim Rezvani, Xizhao Wang
2021	J	`jnl`	Dual VAEGAN: A generative model for generalized zero-shot learning. Appl. Soft Comput. Yuxuan Luo, Xizhao Wang, Farhad Pourpanah
2021	J	`jnl`	ETA-rPPGNet: Effective Time-Domain Attention Network for Remote Heart Rate Measurement. IEEE Trans. Instrum. Meas. Min Hu, Fei Qian, Dong Guo, Xizhao Wang, Lei He, Fuji Ren
2021	J	`jnl`	Fast Supervised Topic Models for Short Text Emotion Detection. IEEE Trans. Cybern. Jianhui Pang, Yanghui Rao, Haoran Xie, Xizhao Wang, Fu Lee Wang, Tak-Lam Wong, Qing Li
2021	J	`jnl`	Group theory-based optimization algorithm for solving knapsack problems. Knowl. Based Syst. Yichao He, Xizhao Wang
2021	J	`jnl`	Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering. Comput. Electr. Eng. Hufsa Khan, Xizhao Wang, Han Liu
2021	J	`jnl`	Vibration fault diagnosis based on stochastic configuration neural networks. Neurocomputing Jingna Liu, Rujiang Hao, Tianlun Zhang, Xizhao Wang
2020	—	`conf`	A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. CSCloud/EdgeCom Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang
2020	J	`jnl`	A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. CoRR Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang
2020	—	`conf`	A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning. ICA3PP (2) Xizhao Wang, Zhongwu Xie, Weipeng Cao, Zhong Ming
2020	J	`jnl`	A bibliometric analysis on deep learning during 2007-2019. Int. J. Mach. Learn. Cybern. Yang Li, Zeshui Xu, Xinxin Wang, Xizhao Wang
2020	J	`jnl`	A novel dataset-specific feature extractor for zero-shot learning. Neurocomputing Yuxuan Luo, Xizhao Wang, Weipeng Cao
2020	J	`jnl`	A study on the relationship between the rank of input data and the performance of random weight neural network. Neural Comput. Appl. Weipeng Cao, Lei Hu, Jinzhu Gao, Xizhao Wang, Zhong Ming
2020	J	`jnl`	An analysis on the relationship between uncertainty and misclassification rate of classifiers. Inf. Sci. Xinlei Zhou, Xizhao Wang, Cong Hu, Ran Wang
2020	J	`jnl`	Bibliometric analysis of support vector machines research trend: a case study in China. Int. J. Mach. Learn. Cybern. Dejian Yu, Zeshui Xu, Xizhao Wang
2020	J	`jnl`	Deep joint neural model for single image haze removal and color correction. Inf. Sci. Tianlun Zhang, Xi Yang, Xizhao Wang, Ran Wang
2020	J	`jnl`	Discernibility matrix based incremental feature selection on fused decision tables. Int. J. Approx. Reason. Ye Liu, Lidi Zheng, Yeliang Xiu, Hong Yin, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li
2020	J	`jnl`	Ensemble with estimation: seeking for optimization in class noisy data. Int. J. Mach. Learn. Cybern. Ruifeng Xu, Zhiyuan Wen, Lin Gui, Qin Lu, Binyang Li, Xizhao Wang
2020	J	`jnl`	Erratum to "Entropy-based fuzzy support vector machine for imbalanced datasets" [Knowl.-Based Syst. 115 (2017) 87-99]. Knowl. Based Syst. Salim Rezvani, Xizhao Wang
2020	J	`jnl`	Feature selection based on improved binary global harmony search for data classification. Appl. Soft Comput. Jafar Gholami, Farhad Pourpanah, Xizhao Wang
2020	J	`jnl`	Gaussian prior based adaptive synthetic sampling with non-linear sample space for imbalanced learning. Knowl. Based Syst. Tianlun Zhang, Yang Li, Xizhao Wang
2020	J	`jnl`	Generalized Adversarial Examples: Attacks and Defenses. CoRR Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang
2020	J	`jnl`	Incremental feature selection based on fuzzy rough sets. Inf. Sci. Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li, Eric C. C. Tsang
2020	J	`jnl`	Jointly Sparse Locality Regression for Image Feature Extraction. IEEE Trans. Multim. Dongmei Mo, Zhihui Lai, Xizhao Wang, Wai-Keung Wong
2020	J	`jnl`	New advances in three-way decision, granular computing and concept lattice. Int. J. Mach. Learn. Cybern. Xizhao Wang, Jinhai Li
2020	J	`jnl`	Recent advances in deep learning. Int. J. Mach. Learn. Cybern. Xizhao Wang, Yanxia Zhao, Farhad Pourpanah
2020	—	`conf`	Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables. NCAA Junzhong Bao, Yuanzi Zhou, Peixin Shi, Xizhao Wang
2020	J	`jnl`	TOPSIS-WAA method based on a covering-based fuzzy rough set: An application to rating problem. Inf. Sci. Kai Zhang, Jianming Zhan, Xizhao Wang
2019	J	`jnl`	A Novel Parallel Biclustering Approach and Its Application to Identify and Segment Highly Profitable Telecom Customers. IEEE Access Qin Lin, Huailing Zhang, Xizhao Wang, Yun Xue, Hongxin Liu, Changwei Gong
2019	J	`jnl`	A bibliometric overview of Int. J. Mach. Learn. Cybern. Zeshui Xu, Dejian Yu, Xizhao Wang
2019	J	`jnl`	A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification. Neurocomputing Farhad Pourpanah, Chee Peng Lim, Xizhao Wang, Choo Jun Tan, Manjeevan Seera, Yuhui Shi
2019	B	`conf`	An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW. IJCNN Weipeng Cao, Muhammed J. A. Patwary, Pengfei Yang, Xizhao Wang, Zhong Ming
2019	J	`jnl`	An improved fuzzy ARTMAP and Q-learning agent model for pattern classification. Neurocomputing Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xizhao Wang, Manjeevan Seera, Choo Jun Tan
2019	J	`jnl`	An off-center technique: Learning a feature transformation to improve the performance of clustering and classification. Inf. Sci. Dasen Yan, Xinlei Zhou, Xizhao Wang, Ran Wang
2019	J	`jnl`	An overview of probabilistic-based expressions for qualitative decision-making: techniques, comparisons and developments. Int. J. Mach. Learn. Cybern. Zeshui Xu, Yue He, Xizhao Wang
2019	—	`conf`	Camera2Video: A Low-Cost Food Authentication System Using Smartphone Videos. SSIP Hui Wang, Weiran Song, Nanfeng Jiang, Jordan Vincent, Zhiyuan Song, Xizhao Wang
2019	J	`jnl`	Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification. IEEE Trans. Ind. Informatics Wing W. Y. Ng, Jianjun Zhang, Chun Sing Lai, Witold Pedrycz, Loi Lei Lai, Xizhao Wang
2019	—	`conf`	Feature Selection for Data Classification based on Binary Brain Storm Optimization. CCIS Farhad Pourpanah, Ran Wang, Xizhao Wang
2019	J	`jnl`	Improved bidirectional extreme learning machine based on enhanced random search. Memetic Comput. Weipeng Cao, Zhong Ming, Xizhao Wang, Shubin Cai
2019	J	`jnl`	Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. Wing W. Y. Ng, Xing Tian, Witold Pedrycz, Xizhao Wang, Daniel S. Yeung
2019	J	`jnl`	Introduction to the Special Section on Applying Machine Learning Systems for IoT Services in Industrial Informatics. Appl. Soft Comput. Xizhao Wang, Arun Kumar Sangaiah, Michael Sheng, Syed Hassan Ahmed
2019	J	`jnl`	Intuitionistic Fuzzy Twin Support Vector Machines. IEEE Trans. Fuzzy Syst. Salim Rezvani, Xizhao Wang, Farhad Pourpanah
2019	J	`jnl`	Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things. IEEE Internet Things J. Laizhong Cui, Chong Xu, Shu Yang, Joshua Zhexue Huang, Jianqiang Li, Xizhao Wang, Zhong Ming, Nan Lu
2019	—	`conf`	Measure community quality by attribute importance and density in social networks. CASE Bella Martínez-Seis, Xiaoou Li, Xizhao Wang
2019	J	`jnl`	PARA: A positive-region based attribute reduction accelerator. Inf. Sci. Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li
2019	J	`jnl`	Ring Theory-Based Evolutionary Algorithm and its application to D{0-1} KP. Appl. Soft Comput. Yichao He, Xizhao Wang, Suogang Gao
2019	J	`jnl`	Seemingly unrelated extreme learning machine. Neurocomputing Li Zhao, Xizhao Wang
2019	J	`jnl`	Spectral Clustering of Customer Transaction Data With a Two-Level Subspace Weighting Method. IEEE Trans. Cybern. Xiaojun Chen, Wenya Sun, Bo Wang, Zhihui Li, Xizhao Wang, Yunming Ye
2019	J	`jnl`	Weight learning from cost matrix in weighted least squares model based on genetic algorithm. Int. J. Bio Inspired Comput. Hong Zhu, Peng Yao, Xizhao Wang
2019	—	`conf`	mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems. SSCI Farhad Pourpanah, Ran Wang, Xizhao Wang, Yuhui Shi, Danial Yazdani
2018	B	`conf`	A New Type-2 Intuitionistic Exponential Triangular Fuzzy Number and Its Ranking Method with Centroid Concept and Euclidean Distance. FUZZ-IEEE Salim Rezvani, Xizhao Wang
2018	J	`jnl`	A deep stochastic weight assignment network and its application to chess playing. J. Parallel Distributed Comput. Zhi Wang, Xizhao Wang
2018	J	`jnl`	A novel binary artificial bee colony algorithm for the set-union knapsack problem. Future Gener. Comput. Syst. Yi-Chao He, Haoran Xie, Tak-Lam Wong, Xizhao Wang
2018	J	`jnl`	A review on neural networks with random weights. Neurocomputing Weipeng Cao, Xizhao Wang, Zhong Ming, Jinzhu Gao
2018	J	`jnl`	A smart artificial bee colony algorithm with distance-fitness-based neighbor search and its application. Future Gener. Comput. Syst. Laizhong Cui, Kai Zhang, Genghui Li, Xizhao Wang, Shu Yang, Zhong Ming, Joshua Zhexue Huang, Nan Lu
2018	J	`jnl`	Bagging-boosting-based semi-supervised multi-hashing with query-adaptive re-ranking. Neurocomputing Wing W. Y. Ng, Xiancheng Zhou, Xing Tian, Xizhao Wang, Daniel S. Yeung
2018	J	`jnl`	Face Liveness Detection Using a Flash Against 2D Spoofing Attack. IEEE Trans. Inf. Forensics Secur. Patrick P. K. Chan, Weiwen Liu, Danni Chen, Daniel S. Yeung, Fei Zhang, Xizhao Wang, Chien-Chang Hsu
2018	J	`jnl`	Feature Selection Based on Neighborhood Discrimination Index. IEEE Trans. Neural Networks Learn. Syst. Changzhong Wang, Qinghua Hu, Xizhao Wang, Degang Chen, Yuhua Qian, Zhe Dong
2018	J	`jnl`	Guest Editorial Special Issue on Integrated Computing: Computational Intelligence Paradigms and Internet of Things for Industrial Applications. IEEE Internet Things J. Joel J. P. C. Rodrigues, Xizhao Wang, Arun Kumar Sangaiah, Michael Sheng
2018	J	`jnl`	Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. Yanyan Yang, Degang Chen, Hui Wang, Xizhao Wang
2018	J	`jnl`	Multi-image matching for object recognition. IET Comput. Vis. Jie Zhu, Shufang Wu, Xizhao Wang, Guoqing Yang, Liyan Ma
2018	J	`jnl`	Non-iterative approaches in training feed-forward neural networks and their applications. Soft Comput. Xizhao Wang, Weipeng Cao
2018	—	`conf`	Random Orthogonal Projection Based Enhanced Bidirectional Extreme Learning Machine. ELM Weipeng Cao, Jinzhu Gao, Xizhao Wang, Zhong Ming, Shubin Cai
2018	J	`jnl`	Sensitivity of data matrix rank in non-iterative training. Neurocomputing Zhiqi Huang, Xizhao Wang
2018	J	`jnl`	Three-way decisions, concept lattice and granular computing: Editorial. Int. J. Mach. Learn. Cybern. Xizhao Wang, Jinhai Li
2018	J	`jnl`	Tolerance rough fuzzy decision tree. Inf. Sci. Junhai Zhai, Xizhao Wang, Sufang Zhang, Shao-Xing Hou
2018	J	`jnl`	Uncertainty learning of rough set-based prediction under a holistic framework. Inf. Sci. Degang Chen, Xiaoxia Zhang, Xizhao Wang, Yanjun Liu
2017	J	`jnl`	A cost-sensitive semi-supervised learning model based on uncertainty. Neurocomputing Hongyu Zhu, Xizhao Wang
2017	J	`jnl`	A ranking-based adaptive artificial bee colony algorithm for global numerical optimization. Inf. Sci. Laizhong Cui, Genghui Li, Xizhao Wang, Qiuzhen Lin, Jianyong Chen, Nan Lu, Jian Lu
2017	J	`jnl`	Comparison of reduction in formal decision contexts. Int. J. Approx. Reason. Jinhai Li, Cherukuri Aswani Kumar, Changlin Mei, Xizhao Wang
2017	J	`jnl`	Discrete differential evolutions for the discounted {0-1} knapsack problem. Int. J. Bio Inspired Comput. Hong Zhu, Yi-Chao He, Xizhao Wang, Eric C. C. Tsang
2017	J	`jnl`	Information Fusion Based on Information Entropy in Fuzzy Multi-source Incomplete Information System. Int. J. Fuzzy Syst. Weihua Xu, Mengmeng Li, Xizhao Wang
2016	J	`jnl`	A cross-selection instance algorithm. J. Intell. Fuzzy Syst. Jun-Hai Zhai, Ta Li, Xizhao Wang
2016	B	`conf`	An approach to sample selection from big data for classification. SMC Sheng Xing, Yu-Lin He, Hong Zhu, Xizhao Wang
2016	J	`jnl`	Architecture Selection of ELM Networks Based on Sensitivity of Hidden Nodes. Neural Process. Lett. Junhai Zhai, Qing-yan Shao, Xizhao Wang
2016	Misc	`conf`	Deep stochastic weight assignment network of Chinese chess machine game. ICMLC Zhi Wang, Junhai Zhai, Xizhao Wang
2016	Misc	`conf`	Extreme learning machine based on cross entropy. ICMLC Yixin Cui, Junhai Zhai, Xizhao Wang
2016	J	`jnl`	Fuzzy nonlinear regression analysis using a random weight network. Inf. Sci. Yu-Lin He, Xizhao Wang, Joshua Zhexue Huang
2016	—	`conf`	Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification. PAKDD Workshops Yu-Lin He, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang, Xizhao Wang
2016	J	`jnl`	Improvements for P-ELM1 and P-ELM2 Pruning Algorithms in Extreme Learning Machines. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Junhai Zhai, Qing-yan Shao, Xizhao Wang
2016	J	`jnl`	Segmenting time series with connected lines under maximum error bound. Inf. Sci. Huanyu Zhao, Zhaowei Dong, Tongliang Li, Xizhao Wang, Chaoyi Pang
2016	J	`jnl`	Voting-based instance selection from large data sets with MapReduce and random weight networks. Inf. Sci. Junhai Zhai, Xizhao Wang, Xiaohe Pang
2015	J	`jnl`	A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning. IEEE Trans. Fuzzy Syst. Xizhao Wang, Hong-Jie Xing, Yan Li, Qiang Hua, Chun-Ru Dong, Witold Pedrycz
2015	J	`jnl`	Editorial: Uncertainty in learning from big data. Fuzzy Sets Syst. Xizhao Wang, Joshua Zhexue Huang
2015	J	`jnl`	Effective algorithms of the Moore-Penrose inverse matrices for extreme learning machine. Intell. Data Anal. Shu-Xia Lu, Xizhao Wang, Guiqiang Zhang, Xu Zhou
2015	J	`jnl`	Learning from big data with uncertainty - editorial. J. Intell. Fuzzy Syst. Xizhao Wang
2015	J	`jnl`	Performance improvement of classifier fusion for batch samples based on upper integral. Neural Networks Hui-Min Feng, Xizhao Wang
2015	J	`jnl`	Segment Based Decision Tree Induction With Continuous Valued Attributes. IEEE Trans. Cybern. Ran Wang, Sam Kwong, Xizhao Wang, Qingshan Jiang
2015	—	`conf`	Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models. PAKDD (1) Yu-Lin He, Joshua Zhexue Huang, Xizhao Wang, Rana Aamir Raza
2014	—	`conf`	An Improved Approach to Ordinal Classification. ICMLC (CCIS volume) Donghui Wang, Junhai Zhai, Hong Zhu, Xizhao Wang
2014	J	`jnl`	Domain ontology graph model and its application in Chinese text classification. Neural Comput. Appl. James N. K. Liu, Yu-Lin He, Edward H. Y. Lim, Xizhao Wang
2014	B	`conf`	Ensemble online sequential extreme learning machine for large data set classification. SMC Jun-Hai Zhai, Jinggeng Wang, Xizhao Wang
2014	—	`conf`	Extreme Learning Machine for Interval-Valued Data. ICMLC (CCIS volume) Shixin Zhao, Xizhao Wang
2014	—	`ed.`	Machine Learning and Cybernetics - 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings ICMLC (CCIS volume) Xizhao Wang, Witold Pedrycz, Patrick P. K. Chan, Qiang He
2014	—	`conf`	Monotonic Decision Tree for Interval Valued Data. ICMLC (CCIS volume) Hong Zhu, Junhai Zhai, Shanshan Wang, Xizhao Wang
2014	—	`conf`	Parallel Ordinal Decision Tree Algorithm and Its Implementation in Framework of MapReduce. ICMLC (CCIS volume) Shanshan Wang, Junhai Zhai, Hong Zhu, Xizhao Wang
2014	B	`conf`	Regression ensemble with PSO algorithms based fuzzy integral. IEEE Congress on Evolutionary Computation James Nga-Kwok Liu, Yan-Xing Hu, Yu-Lin He, Xizhao Wang
2014	—	`conf`	Study and Improvement of Ordinal Decision Trees Based on Rank Entropy. ICMLC (CCIS volume) Jiankai Chen, Junhai Zhai, Xizhao Wang
2013	J	`jnl`	A Combined Position Evaluation Function in Chinese Chess Computer Game. Trans. Comput. Sci. Yu-Lin He, Xizhao Wang, Tingting Fu
2013	J	`jnl`	A New Method for Knowledge and Information Management Domain Ontology Graph Model. IEEE Trans. Syst. Man Cybern. Syst. James N. K. Liu, Yu-Lin He, Edward H. Y. Lim, Xizhao Wang
2013	J	`jnl`	A new and informative active learning approach for support vector machine. Inf. Sci. Lisha Hu, Shu-Xia Lu, Xizhao Wang
2013	Misc	`conf`	Greetings from the General Chairs. ICMLC Xizhao Wang, Daniel S. Yeung
2013	J	`jnl`	Nested structure in parameterized rough reduction. Inf. Sci. Suyun Zhao, Xizhao Wang, Degang Chen, Eric C. C. Tsang
2012	—	`conf`	A Rank Reduced Matrix Method in Extreme Learning Machine. ISNN (1) Shu-Xia Lu, Guiqiang Zhang, Xizhao Wang
2012	J	`jnl`	A study on random weights between input and hidden layers in extreme learning machine. Soft Comput. Ran Wang, Sam Kwong, Xizhao Wang
2012	B	`conf`	A total error rate multi-class classification. SMC Xizhao Wang, Meng Zhang, Shu-Xia Lu, Xu Zhou
2012	B	`conf`	Improving kernel incapability by equivalent probability in flexible naïve Bayesian. FUZZ-IEEE James N. K. Liu, Yu-Lin He, Xizhao Wang
2012	B	`conf`	Instance selection based on sample entropy for efficient data classification with ELM. SMC Xizhao Wang, Qing Miao, Meng-Yao Zhai, Junhai Zhai
2012	—	`conf`	Naive Bayesian Classifier Based on Neighborhood Probability. IPMU (3) James N. K. Liu, Yu-Lin He, Xizhao Wang, Yan-Xing Hu
2012	J	`jnl`	Optimal bandwidth selection for re-substitution entropy estimation. Appl. Math. Comput. Yu-Lin He, James N. K. Liu, Xizhao Wang, Yan-Xing Hu
2011	B	`conf`	A comparative experimental study of feature-weight learning approaches. SMC Hong-Jie Xing, Xizhao Wang, Minghu Ha
2011	Misc	`conf`	A comparative study among different kernel functions in flexible naïve Bayesian classification. ICMLC James N. K. Liu, Yu-Lin He, Xizhao Wang, Yan-Xing Hu
2011	—	`conf`	Discernibility-Matrix Method Based on the Hybrid of Equivalence and Dominance Relations. RSFDGrC Yan Li, Jin Zhao, Na-Xin Sun, Xizhao Wang, Jun-Hai Zhai
2011	J	`jnl`	Particle swarm optimization for determining fuzzy measures from data. Inf. Sci. Xizhao Wang, Yu-Lin He, Ling-Cai Dong, Huanyu Zhao
2011	J	`jnl`	Recent advances on machine learning and Cybernetics. Soft Comput. Witold Pedrycz, Daniel S. Yeung, Xizhao Wang
2011	B	`conf`	Rough set model and its eight extensions. SMC Junhai Zhai, Yuanyuan Gao, Meng-Yao Zhai, Xizhao Wang
2011	J	`jnl`	Upper integral network with extreme learning mechanism. Neurocomputing Xizhao Wang, Aixia Chen, Hui-Min Feng
2010	J	`jnl`	Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach. IEEE Trans. Knowl. Data Eng. Suyun Zhao, Eric C. C. Tsang, Degang Chen, Xizhao Wang
2010	J	`jnl`	FRSVMs: Fuzzy rough set based support vector machines. Fuzzy Sets Syst. Degang Chen, Qiang He, Xizhao Wang
2010	B	`conf`	Side effect of cut in decision tree generation for continuous attributes. SMC Xizhao Wang, Xiang-Hui Gao, Qiang He
2009	—	`conf`	A Fast Support Vector Machine Classification Algorithm Based on Karush-Kuhn-Tucker Conditions. RSFDGrC Ying Zhang, Xizhao Wang, Junhai Zhai
2009	—	`conf`	An Improved Cluster Oriented Fuzzy Decision Trees. RSFDGrC Shan Su, Xizhao Wang, Junhai Zhai
2009	B	`conf`	An Improved Sample Selection Algorithm in Fuzzy Decision Tree Induction. SMC Ling-Cai Dong, Dan Wang, Xizhao Wang
2009	B	`conf`	Multi-Stage Decision Tree based on Inter-class and Inner-class Margin of SVM. SMC Mingzhu Lu, C. L. Philip Chen, Jianbing Huo, Xizhao Wang
2008	J	`jnl`	A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis. Neurocomputing Xizhao Wang, Chun-Guo Li, Daniel S. Yeung, Shiji Song, Hui-Min Feng
2008	J	`jnl`	A model of finite-step random walk with absorbent boundaries. Int. J. Comput. Math. Xizhao Wang, Jun-Hai Zhai, Su-Fang Zhang
2008	B	`conf`	Application of kernel learning vector quantization to novelty detection. SMC Hong-Jie Xing, Xizhao Wang, Ruixian Zhu, Dan Wang
2008	J	`jnl`	Attributes Reduction Using Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. Eric C. C. Tsang, Degang Chen, Daniel S. Yeung, Xizhao Wang, John W. T. Lee
2008	J	`jnl`	Editorial. Int. J. Pattern Recognit. Artif. Intell. Xizhao Wang, Yuanyan Tang, Daniel S. Yeung
2008	J	`jnl`	Fast Fuzzy Multicategory SVM Based on Support Vector Domain Description. Int. J. Pattern Recognit. Artif. Intell. Xizhao Wang, Shu-Xia Lu, Jun-Hai Zhai
2008	J	`jnl`	Feature selection using localized generalization error for supervised classification problems using RBFNN. Pattern Recognit. Wing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang
2008	—	`ch.`	Hybridization of Fuzzy and Rough Sets: Present and Future. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Eric C. C. Tsang, Qingcai Chen, Suyun Zhao, Daniel S. Yeung, Xizhao Wang
2008	J	`jnl`	Induction of multiple fuzzy decision trees based on rough set technique. Inf. Sci. Xizhao Wang, Jun-Hai Zhai, Shu-Xia Lu
2008	B	`conf`	Optimization of combined kernel function for SVM based on large margin learning theory. SMC Mingzhu Lu, C. L. Philip Chen, Jianbing Huo, Xizhao Wang
2008	J	`jnl`	Preface: Recent advances in granular computing. Inf. Sci. Daniel S. Yeung, Xizhao Wang, Degang Chen
2007	J	`jnl`	A Nonlinear Integral Defined on Partition and its Application to Decision Trees. Soft Comput. Xizhao Wang, Su-Fang Zhang, Jun-Hai Zhai
2007	J	`jnl`	An On-Line Multi-CBR Agent Dispatching Algorithm. Soft Comput. Yan Li, Xizhao Wang, Minghu Ha
2007	J	`jnl`	An On-line Multi-CBR Agent Dispatching Algorithm. Soft Comput. Yan Li, Xizhao Wang, Minghu Ha
2007	—	`conf`	Attribute Reduction Based on Fuzzy Rough Sets. RSEISP Degang Chen, Xizhao Wang, Suyun Zhao
2007	J	`jnl`	Covariance-Matrix Modeling and Detecting Various Flooding Attacks. IEEE Trans. Syst. Man Cybern. Part A Daniel S. Yeung, Shuyuan Jin, Xizhao Wang
2007	B	`conf`	Heuristic improvement for active learning using localized generalization error as selection criterion. SMC Wing W. Y. Ng, Binbin Sun, Daniel S. Yeung, Xizhao Wang
2007	J	`jnl`	Internet Anomaly Detection Based on Statistical Covariance Matrix. Int. J. Pattern Recognit. Artif. Intell. Shuyuan Jin, Daniel S. Yeung, Xizhao Wang
2007	J	`jnl`	Learning fuzzy rules from fuzzy samples based on rough set technique. Inf. Sci. Xizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung
2007	J	`jnl`	Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network. IEEE Trans. Neural Networks Daniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang
2007	J	`jnl`	Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries. Soft Comput. Wing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang
2007	J	`jnl`	Machine Learning Techniques: Problems and Applications. By Guest Editors: Zhi-Qiang Liu, Daniel So Yeung, Xi-Zhao Wang, and Eric Tsang. Soft Comput. Zhi-Qiang Liu, Xizhao Wang, Daniel S. Yeung
2007	J	`jnl`	Network intrusion detection in covariance feature space. Pattern Recognit. Shuyuan Jin, Daniel S. Yeung, Xizhao Wang
2007	J	`jnl`	On linear separability of data sets in feature space. Neurocomputing Degang Chen, Qiang He, Xizhao Wang
2007	B	`conf`	Solving SVM inverse problems based on clustering. SMC Xizhao Wang, Shu-Xia Lu, Ruixian Zhu
2007	J	`jnl`	Structured large margin machines: sensitive to data distributions. Mach. Learn. Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang
2007	J	`jnl`	Training T-S norm neural networks to refine weights for fuzzy if-then rules. Neurocomputing Xizhao Wang, Chunru Dong, Tie-Gang Fan
2006	—	`conf`	A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection. ISNN (1) Xizhao Wang, Hui Zhang
2006	B	`conf`	A Strategy of Merging Branches Based on Margin Enlargement of SVM in Decision Tree Induction. SMC Chenxiao Yang, Xizhao Wang, Ruixian Zhu
2006	Misc	`ed.`	Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers ICMLC Daniel S. Yeung, Zhi-Qiang Liu, Xizhao Wang, Hong Yan
2006	B	`conf`	Induction of Multi-stage decision tree. SMC Jianbing Huo, Xizhao Wang, Mingzhu Lu, Junfen Chen
2006	J	`jnl`	Preface for the special issue: soft computing in machine learning and cybernetics in the journal Soft Comput. Zhi-Qiang Liu, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang, John W. T. Lee
2005	Misc	`conf`	A Covariance Matrix Based Approach to Internet Anomaly Detection. ICMLC Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
2005	Misc	`conf`	A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels. ICMLC Degang Chen, Qiang He, Chunru Dong, Xizhao Wang
2005	—	`conf`	A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction. ISNN (1) Xizhao Wang, Chunguo Li
2005	Misc	`conf`	A Parallel Genetic Algorithm for Solving the Inverse Problem of Support Vector Machines. ICMLC Qiang He, Xizhao Wang, Junfen Chen, Leifan Yan
2005	B	`conf`	A feature space analysis for anomaly detection. SMC Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
2005	J	`jnl`	A genetic algorithm for solving the inverse problem of support vector machines. Neurocomputing Xizhao Wang, Qiang He, Degang Chen, Daniel S. Yeung
2005	J	`jnl`	An Approach To Case-Based Maintenance: Selecting Representative Cases. Int. J. Pattern Recognit. Artif. Intell. Eric C. C. Tsang, Xizhao Wang
2005	J	`jnl`	On the generalization of fuzzy rough sets. IEEE Trans. Fuzzy Syst. Daniel S. Yeung, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Xizhao Wang
2005	—	`conf`	Organizing Large Case Library by Linear Programming. MICAI Caihong Sun, Simon Chi-Keung Shiu, Xizhao Wang
2005	Misc	`conf`	Reduction of Attributes in Ordinal Decision Systems. ICMLC John W. T. Lee, Xizhao Wang, Jinfeng Wang
2005	C	`conf`	The Infinite Polynomial Kernel for Support Vector Machine. ADMA Degang Chen, Qiang He, Xizhao Wang
2004	—	`conf`	A study on generalization capability of weighted fuzzy production rules with maximum entropy. SMC (4) Xizhao Wang, Chunru Dong, Daniel S. Yeung
2004	B	`conf`	Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment. KES Xizhao Wang, Qiang He
2004	J	`jnl`	Handling interaction in fuzzy production rule reasoning. IEEE Trans. Syst. Man Cybern. Part B Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
2004	J	`jnl`	Improving fuzzy c-means clustering based on feature-weight learning. Pattern Recognit. Lett. Xizhao Wang, Yadong Wang, Lijuan Wang
2003	J	`jnl`	A fuzzy-rough approach for the maintenance of distributed case-based reasoning systems. Soft Comput. Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
2003	B	`conf`	Monotonic decision tree for ordinal classification. SMC John W. T. Lee, Daniel S. Yeung, Xizhao Wang
2003	J	`jnl`	OFFSS: optimal fuzzy-valued feature subset selection. IEEE Trans. Fuzzy Syst. Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang
2003	—	`conf`	Selection of Parameters in Building Fuzzy Decision Trees. Australian Conference on Artificial Intelligence Xizhao Wang, Minghua Zhao, Dianhui Wang
2003	J	`jnl`	Sequences of (S) fuzzy integrable functions. Fuzzy Sets Syst. Minghu Ha, Xizhao Wang, Lanzhen Yang, Yan Li
2002	J	`jnl`	Improving Performance of Similarity-Based Clustering by Feature Weight Learning. IEEE Trans. Pattern Anal. Mach. Intell. Daniel S. Yeung, Xizhao Wang
2001	C	`conf`	A Fuzzy-Rough Approach for Case Base Maintenance. ICCBR Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
2001	A*	`conf`	A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay. IJCAI Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang
2001	J	`jnl`	A General Updating Rule for Discrete Hopfield-Type Neural Network with Time-Delay and the Corresponding Search Algorithm. Int. J. Comput. Intell. Appl. Daniel S. Yeung, Shenshan Qiu, Eric C. C. Tsang, Xizhao Wang
2001	J	`jnl`	A comparative study on heuristic algorithms for generating fuzzy decision trees. IEEE Trans. Syst. Man Cybern. Part B Xizhao Wang, Daniel S. Yeung, Eric C. C. Tsang
2001	J	`jnl`	A new approach to fuzzy rule generation: fuzzy extension matrix. Fuzzy Sets Syst. Xizhao Wang, Yadong Wang, X. F. Xu, W. D. Ling, Daniel S. Yeung
2001	J	`jnl`	Iteration algorithms for solving a system of fuzzy linear equations. Fuzzy Sets Syst. Xizhao Wang, Zimian Zhong, Minghu Ha
2001	J	`jnl`	Transferring Case Knowledge to Adaptation Knowledge: An Approach for Case-Base Maintenance. Comput. Intell. Simon C. K. Shiu, Daniel S. Yeung, Cai Hung Sun, Xizhao Wang
2001	B	`conf`	Using neural network classifier in post-processing system for handwritten Chinese character recognition. SMC Ruifeng Xu, Daniel S. Yeung, Xizhao Wang
2000	J	`jnl`	Improving learning accuracy of fuzzy decision trees by hybrid neural networks. IEEE Trans. Fuzzy Syst. Eric C. C. Tsang, Xizhao Wang, Daniel S. Yeung
2000	—	`conf`	Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees. EWCBR Simon C. K. Shiu, Cai Hung Sun, Xizhao Wang, Daniel S. Yeung
2000	J	`jnl`	On the optimization of fuzzy decision trees. Fuzzy Sets Syst. Xizhao Wang, Bin Chen, Guoliang Qian, Feng Ye
1999	J	`jnl`	Learning optimization in simplifying fuzzy rules. Fuzzy Sets Syst. Xizhao Wang, Jiarong Hong
1998	J	`jnl`	Fundamental convergence of sequences of measurable functions on fuzzy measure space. Fuzzy Sets Syst. Minghu Ha, Xizhao Wang, Congxin Wu
1998	J	`jnl`	Note on maxmin μ/E estimation. Fuzzy Sets Syst. Xizhao Wang, Minghu Ha
1998	J	`jnl`	On the handling of fuzziness for continuous-valued attributes in decision tree generation. Fuzzy Sets Syst. Xizhao Wang, Jiarong Hong
1997	J	`jnl`	Notes on Riesz's theorem on fuzzy measure space. Fuzzy Sets Syst. Minghu Ha, Lixin Cheng, Xizhao Wang
1997	J	`jnl`	Some notes on the regularity of fuzzy measures on metric spaces. Fuzzy Sets Syst. Minghu Ha, Xizhao Wang