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Journal Articles
- 2025
[j211]Zhiming Liu, Jinhai Li, Xiao Zhang, Xizhao Wang:
Multi-level information fusion for missing multi-label learning based on stochastic concept clustering. Inf. Fusion 115: 102775 (2025)- 2024
- [j210]Hufsa Khan
, Muhammad Tahir Rasheed, Shengli Zhang, Xizhao Wang, Han Liu:
Empirical study of outlier impact in classification context. Expert Syst. Appl. 256: 124953 (2024) - [j209]Tianlun Zhang, Xinlei Zhou, Debby D. Wang, Xizhao Wang:
Feature similarity learning based on fuzziness minimization for semi-supervised medical image segmentation. Inf. Fusion 106: 102253 (2024) - [j208]Doudou Guo, Weihua Xu, Weiping Ding, Yiyu Yao, Xizhao Wang, Witold Pedrycz, Yuhua Qian:
Concept-cognitive learning survey: Mining and fusing knowledge from data. Inf. Fusion 109: 102426 (2024) - [j207]Meng Hu, Yanting Guo, Ran Wang, Xizhao Wang:
Attribute reduction with fuzzy kernel-induced relations. Inf. Sci. 669: 120589 (2024) - [j206]Lina Wang, Yichao He, Xizhao Wang, Zihang Zhou, Haibin Ouyang, Seyedali Mirjalili:
A novel discrete differential evolution algorithm combining transfer function with modulo operation for solving the multiple knapsack problem. Inf. Sci. 680: 121170 (2024) - [j205]Yichao He, Jinghong Wang, Xuejing Liu, Xizhao Wang, Haibin Ouyang:
Modeling and solving of knapsack problem with setup based on evolutionary algorithm. Math. Comput. Simul. 219: 378-403 (2024) - [j204]Hong-Jie Xing, Wei-Tao Liu, Xi-Zhao Wang:
Bounded exponential loss function based AdaBoost ensemble of OCSVMs. Pattern Recognit. 148: 110191 (2024) - [j203]Chong Liu, Yi Wang, Dong Li, Xizhao Wang:
Domain-incremental learning without forgetting based on random vector functional link networks. Pattern Recognit. 151: 110430 (2024) - [j202]Arun Kumar Sangaiah, Xizhao Wang, Mohammad S. Obaidat, Patrick C. K. Hung, Kannan Govindan:
Guest Editorial Data-Driven Innovation and Adversarial Learning Models for Industry 5.0 Toward Consumer Digital Ecosystems. IEEE Trans. Consumer Electron. 70(2): 4878-4881 (2024) - [j201]Jie Zhou, Ge Yuan, Can Gao, Xizhao Wang, Jianhua Dai, Witold Pedrycz:
Fuzzy Clustering Guided by Spectral Rotation and Scaling. IEEE Trans. Cybern. 54(11): 6471-6484 (2024) - [j200]Tianlun Zhang, Xizhao Wang:
Anchorwise Fuzziness Modeling in Convolution-Transformer Neural Network for Left Atrium Image Segmentation. IEEE Trans. Fuzzy Syst. 32(2): 398-408 (2024) - [j199]Jie Zhou, Can Gao, Xizhao Wang, Zhihui Lai, Jun Wan, Xiaodong Yue:
Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10776-10790 (2024) - 2023
- [j198]Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Danial Yazdani:
A review of artificial fish swarm algorithms: recent advances and applications. Artif. Intell. Rev. 56(3): 1867-1903 (2023) - [j197]Si Cen, Xizhao Wang, Xiaoying Zou, Chao Liu, Guoquan Dai:
New attention strategy for negative sampling in knowledge graph embedding. Appl. Intell. 53(22): 26418-26438 (2023) - [j196]Salim Rezvani, Xizhao Wang:
A broad review on class imbalance learning techniques. Appl. Soft Comput. 143: 110415 (2023) - [j195]Kaijian Chen, Jingna Liu, Wenwu Guo, Xizhao Wang:
A two-stage approach based on Bayesian deep learning for predicting remaining useful life of rolling element bearings. Comput. Electr. Eng. 109(Part B): 108745 (2023) - [j194]Shuyue Chen, Jiaolv Wu, Jian Lu, Xizhao Wang:
A mathematical model for efficient extraction of key locations from point-cloud data in track area. Ind. Artif. Intell. 1(1) (2023) - [j193]Yan Li, Xiaoxue Wu, Xizhao Wang:
Incremental reduction methods based on granular ball neighborhood rough sets and attribute grouping. Int. J. Approx. Reason. 160: 108974 (2023) - [j192]Lanzhen Yang, Eric C. C. Tsang, Xizhao Wang, Chengling Zhang:
ELM parameter estimation in view of maximum likelihood. Neurocomputing 557: 126704 (2023) - [j191]Hufsa Khan, Xizhao Wang, Han Liu:
A study on relationship between prediction uncertainty and robustness to noisy data. Int. J. Syst. Sci. 54(6): 1243-1258 (2023) - [j190]Shiping Wang, Xincan Lin, Yiqing Shi, Xizhao Wang:
Algorithm for orthogonal matrix nearness and its application to feature representation. Inf. Sci. 623: 361-378 (2023) - [j189]Qin Wang, Jingna Liu, Wenwu Guo, Xizhao Wang:
Evolving stochastic configure network: A more compact model with interpretability. Inf. Sci. 639: 119006 (2023) - [j188]Xinlei Zhou, Sudong Chen, Nianjiao Peng, Xinpeng Zhou, Xizhao Wang:
Uncertainty guided pruning of classification model tree. Knowl. Based Syst. 259: 110067 (2023) - [j187]Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu:
A Review of Generalized Zero-Shot Learning Methods. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4051-4070 (2023) - [j186]Min Wang, Peng Zhao, Xin Lu, Fan Min, Xizhao Wang:
Fine-Grained Visual Categorization: A Spatial-Frequency Feature Fusion Perspective. IEEE Trans. Circuits Syst. Video Technol. 33(6): 2798-2812 (2023) - [j185]Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang:
Adversarial Learning With Cost-Sensitive Classes. IEEE Trans. Cybern. 53(8): 4855-4866 (2023) - [j184]Jianhua Dai, Xiongtao Zou, Yuhua Qian, Xizhao Wang:
Multifuzzy $\beta$-Covering Approximation Spaces and Their Information Measures. IEEE Trans. Fuzzy Syst. 31(3): 955-969 (2023) - [j183]Arun Kumar Sangaiah, Xizhao Wang, Yi-Bing Lin, Jianwei Niu, Xiaohui Yuan:
Guest Editorial Cognitive Cyber-Physical Systems With AI Based Solutions in Medical Informatics. IEEE J. Biomed. Health Informatics 27(2): 586-587 (2023) - [j182]Wentao Li, Haoxiang Zhou, Weihua Xu, Xi-Zhao Wang, Witold Pedrycz:
Interval Dominance-Based Feature Selection for Interval-Valued Ordered Data. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6898-6912 (2023) - [j181]Min Wang, Chunyu Yang, Fei Zhao, Fan Min, Xizhao Wang:
Cost-Sensitive Active Learning for Incomplete Data. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 405-416 (2023) - 2022
- [j180]Muhammed J. A. Patwary, Weipeng Cao, Xi-Zhao Wang, Mohammad Ahsanul Haque:
Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos. Appl. Soft Comput. 120: 108655 (2022) - [j179]Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang:
A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications. Neurocomputing 489: 449-465 (2022) - [j178]Juncheng Li, Faming Fang, Tieyong Zeng, Guixu Zhang, Xizhao Wang:
Adjustable super-resolution network via deep supervised learning and progressive self-distillation. Neurocomputing 500: 379-393 (2022) - [j177]Salim Rezvani, Xizhao Wang:
Intuitionistic fuzzy twin support vector machines for imbalanced data. Neurocomputing 507: 16-25 (2022) - [j176]Chao Liu, Xizhao Wang, Han Liu, Xiaoying Zou, Si Cen, Guoquan Dai:
Learning to recommend journals for submission based on embedding models. Neurocomputing 508: 242-253 (2022) - [j175]Weipeng Cao, Yuhao Wu, Chengchao Huang, Muhammed J. A. Patwary, Xizhao Wang:
MFF: Multi-modal feature fusion for zero-shot learning. Neurocomputing 510: 172-180 (2022) - [j174]Hufsa Khan, Xizhao Wang, Han Liu:
Handling missing data through deep convolutional neural network. Inf. Sci. 595: 278-293 (2022) - [j173]Shuyue Chen, Ran Wang, Jian Lu, Xizhao Wang:
Stable matching-based two-way selection in multi-label active learning with imbalanced data. Inf. Sci. 610: 281-299 (2022) - [j172]Xiaoying Zou, Xizhao Wang, Si Cen, Guoquan Dai, Chao Liu:
Knowledge graph embedding with self adaptive double-limited loss. Knowl. Based Syst. 252: 109310 (2022) - [j171]Yanting Guo, Meng Hu, Xizhao Wang, Eric C. C. Tsang, Degang Chen, Weihua Xu:
A robust approach to attribute reduction based on double fuzzy consistency measure. Knowl. Based Syst. 253: 109585 (2022) - [j170]Yulin He, Xizhao Wang, Joshua Zhexue Huang:
Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. 13(2): 561-564 (2022) - [j169]Yulin He, Xizhao Wang, Joshua Zhexue Huang:
Correction to: Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. 13(2): 565 (2022) - [j168]Sihong Chen, Haojing Shen, Ran Wang, Xizhao Wang:
Towards improving fast adversarial training in multi-exit network. Neural Networks 150: 1-11 (2022) - [j167]Guoquan Dai, Xizhao Wang, Xiaoying Zou, Chao Liu, Si Cen:
MRGAT: Multi-Relational Graph Attention Network for knowledge graph completion. Neural Networks 154: 234-245 (2022) - [j166]Hong Zhu, Xizhao Wang, Ran Wang:
Fuzzy Monotonic K-Nearest Neighbor Versus Monotonic Fuzzy K-Nearest Neighbor. IEEE Trans. Fuzzy Syst. 30(9): 3501-3513 (2022) - [j165]Mei Yang, Yu-Xuan Zhang, Xizhao Wang, Fan Min:
Multi-Instance Ensemble Learning With Discriminative Bags. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5456-5467 (2022) - 2021
- [j164]Yuxuan Luo, Xizhao Wang, Farhad Pourpanah:
Dual VAEGAN: A generative model for generalized zero-shot learning. Appl. Soft Comput. 107: 107352 (2021) - [j163]Hufsa Khan, Xizhao Wang, Han Liu:
Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering. Comput. Electr. Eng. 93: 107230 (2021) - [j162]Jingna Liu, Rujiang Hao, Tianlun Zhang, Xizhao Wang:
Vibration fault diagnosis based on stochastic configuration neural networks. Neurocomputing 434: 98-125 (2021) - [j161]Salim Rezvani, Xizhao Wang:
Class imbalance learning using fuzzy ART and intuitionistic fuzzy twin support vector machines. Inf. Sci. 578: 659-682 (2021) - [j160]Yichao He, Xizhao Wang:
Group theory-based optimization algorithm for solving knapsack problems. Knowl. Based Syst. 219: 104445 (2021) - [j159]Weipeng Cao, Zhongwu Xie, Jianqiang Li, Zhiwu Xu, Zhong Ming, Xizhao Wang:
Bidirectional stochastic configuration network for regression problems. Neural Networks 140: 237-246 (2021) - [j158]Jianhui Pang, Yanghui Rao, Haoran Xie, Xizhao Wang, Fu Lee Wang, Tak-Lam Wong, Qing Li:
Fast Supervised Topic Models for Short Text Emotion Detection. IEEE Trans. Cybern. 51(2): 815-828 (2021) - [j157]Lei Zhang, Qingyan Duan, David Zhang, Wei Jia, Xizhao Wang:
AdvKin: Adversarial Convolutional Network for Kinship Verification. IEEE Trans. Cybern. 51(12): 5883-5896 (2021) - [j156]Suyun Zhao, Zhi-Gang Dai, Xizhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li:
An Accelerator for Rule Induction in Fuzzy Rough Theory. IEEE Trans. Fuzzy Syst. 29(12): 3635-3649 (2021) - [j155]Min Hu, Fei Qian, Dong Guo, Xizhao Wang, Lei He, Fuji Ren:
ETA-rPPGNet: Effective Time-Domain Attention Network for Remote Heart Rate Measurement. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - 2020
- [j154]Jafar Gholami, Farhad Pourpanah, Xizhao Wang:
Feature selection based on improved binary global harmony search for data classification. Appl. Soft Comput. 93: 106402 (2020) - [j153]Ye Liu, Lidi Zheng, Yeliang Xiu, Hong Yin, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li:
Discernibility matrix based incremental feature selection on fused decision tables. Int. J. Approx. Reason. 118: 1-26 (2020) - [j152]Yuxuan Luo, Xizhao Wang, Weipeng Cao:
A novel dataset-specific feature extractor for zero-shot learning. Neurocomputing 391: 74-82 (2020) - [j151]Xinlei Zhou, Xizhao Wang, Cong Hu, Ran Wang:
An analysis on the relationship between uncertainty and misclassification rate of classifiers. Inf. Sci. 535: 16-27 (2020) - [j150]Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li, Eric C. C. Tsang:
Incremental feature selection based on fuzzy rough sets. Inf. Sci. 536: 185-204 (2020) - [j149]Kai Zhang, Jianming Zhan, Xizhao Wang:
TOPSIS-WAA method based on a covering-based fuzzy rough set: An application to rating problem. Inf. Sci. 539: 397-421 (2020) - [j148]Tianlun Zhang, Xi Yang, Xizhao Wang, Ran Wang:
Deep joint neural model for single image haze removal and color correction. Inf. Sci. 541: 16-35 (2020) - [j147]Tianlun Zhang, Yang Li, Xizhao Wang:
Gaussian prior based adaptive synthetic sampling with non-linear sample space for imbalanced learning. Knowl. Based Syst. 191: 105231 (2020) - [j146]Ming-Wen Shao, Wei-Zhi Wu, Xi-Zhao Wang, Changzhong Wang:
Knowledge reduction methods of covering approximate spaces based on concept lattice. Knowl. Based Syst. 191: 105269 (2020) - [j145]Salim Rezvani, Xizhao Wang:
Erratum to "Entropy-based fuzzy support vector machine for imbalanced datasets" [Knowl.-Based Syst. 115 (2017) 87-99]. Knowl. Based Syst. 192: 105287 (2020) - [j144]Xingping Xian, Tao Wu, Shaojie Qiao, Xi-Zhao Wang, Wei Wang, Yanbing Liu:
NetSRE: Link predictability measuring and regulating. Knowl. Based Syst. 196: 105800 (2020) - [j143]Ruifeng Xu, Zhiyuan Wen, Lin Gui, Qin Lu, Binyang Li, Xizhao Wang:
Ensemble with estimation: seeking for optimization in class noisy data. Int. J. Mach. Learn. Cybern. 11(2): 231-248 (2020) - [j142]Dejian Yu, Zeshui Xu, Xizhao Wang:
Bibliometric analysis of support vector machines research trend: a case study in China. Int. J. Mach. Learn. Cybern. 11(3): 715-728 (2020) - [j141]Xizhao Wang, Yanxia Zhao, Farhad Pourpanah:
Recent advances in deep learning. Int. J. Mach. Learn. Cybern. 11(4): 747-750 (2020) - [j140]Xizhao Wang, Jinhai Li:
New advances in three-way decision, granular computing and concept lattice. Int. J. Mach. Learn. Cybern. 11(5): 945-946 (2020) - [j139]Yang Li, Zeshui Xu, Xinxin Wang, Xizhao Wang:
A bibliometric analysis on deep learning during 2007-2019. Int. J. Mach. Learn. Cybern. 11(12): 2807-2826 (2020) - [j138]Weipeng Cao, Lei Hu, Jinzhu Gao, Xizhao Wang, Zhong Ming:
A study on the relationship between the rank of input data and the performance of random weight neural network. Neural Comput. Appl. 32(16): 12685-12696 (2020) - [j137]Dongmei Mo, Zhihui Lai, Xizhao Wang, Wai-Keung Wong:
Jointly Sparse Locality Regression for Image Feature Extraction. IEEE Trans. Multim. 22(11): 2873-2888 (2020) - 2019
- [j136]Qin Lin, Huailing Zhang, Xizhao Wang, Yun Xue, Hongxin Liu, Changwei Gong:
A Novel Parallel Biclustering Approach and Its Application to Identify and Segment Highly Profitable Telecom Customers. IEEE Access 7: 28696-28711 (2019) - [j135]Yichao He, Xizhao Wang, Suogang Gao:
Ring Theory-Based Evolutionary Algorithm and its application to D{0-1} KP. Appl. Soft Comput. 77: 714-722 (2019) - [j134]Xizhao Wang, Arun Kumar Sangaiah, Michael Sheng, Syed Hassan Ahmed:
Introduction to the Special Section on Applying Machine Learning Systems for IoT Services in Industrial Informatics. Appl. Soft Comput. 80: 920-922 (2019) - [j133]Hong Zhu, Peng Yao, Xizhao Wang:
Weight learning from cost matrix in weighted least squares model based on genetic algorithm. Int. J. Bio Inspired Comput. 13(4): 269-276 (2019) - [j132]Muhammed J. A. Patwary, Xi-Zhao Wang, Dasen Yan:
Impact of Fuzziness Measures on the Performance of Semi-supervised Learning. Int. J. Fuzzy Syst. 21(5): 1430-1442 (2019) - [j131]Farhad Pourpanah, Chee Peng Lim, Xizhao Wang, Choo Jun Tan, Manjeevan Seera, Yuhui Shi:
A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification. Neurocomputing 333: 440-451 (2019) - [j130]Li Zhao, Xizhao Wang:
Seemingly unrelated extreme learning machine. Neurocomputing 355: 134-142 (2019) - [j129]Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xizhao Wang, Manjeevan Seera, Choo Jun Tan:
An improved fuzzy ARTMAP and Q-learning agent model for pattern classification. Neurocomputing 359: 139-152 (2019) - [j128]Laizhong Cui, Chong Xu, Shu Yang, Joshua Zhexue Huang, Jianqiang Li, Xizhao Wang, Zhong Ming, Nan Lu:
Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things. IEEE Internet Things J. 6(3): 4791-4803 (2019) - [j127]Muhammed J. A. Patwary, Xi-Zhao Wang:
Sensitivity analysis on initial classifier accuracy in fuzziness based semi-supervised learning. Inf. Sci. 490: 93-112 (2019) - [j126]Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li:
PARA: A positive-region based attribute reduction accelerator. Inf. Sci. 503: 533-550 (2019) - [j125]Dasen Yan, Xinlei Zhou, Xizhao Wang, Ran Wang:
An off-center technique: Learning a feature transformation to improve the performance of clustering and classification. Inf. Sci. 503: 635-651 (2019) - [j124]Weipeng Cao, Zhong Ming, Xizhao Wang, Shubin Cai:
Improved bidirectional extreme learning machine based on enhanced random search. Memetic Comput. 11(1): 19-26 (2019) - [j123]Zeshui Xu, Yue He, Xizhao Wang:
An overview of probabilistic-based expressions for qualitative decision-making: techniques, comparisons and developments. Int. J. Mach. Learn. Cybern. 10(6): 1513-1528 (2019) - [j122]Zeshui Xu, Dejian Yu, Xizhao Wang:
A bibliometric overview of International Journal of Machine Learning and Cybernetics between 2010 and 2017. Int. J. Mach. Learn. Cybern. 10(9): 2375-2387 (2019) - [j121]Xiaojun Chen, Wenya Sun, Bo Wang, Zhihui Li, Xizhao Wang, Yunming Ye:
Spectral Clustering of Customer Transaction Data With a Two-Level Subspace Weighting Method. IEEE Trans. Cybern. 49(9): 3230-3241 (2019) - [j120]Wing W. Y. Ng, Xing Tian, Witold Pedrycz, Xizhao Wang, Daniel S. Yeung:
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 49(11): 3844-3858 (2019) - [j119]Salim Rezvani, Xizhao Wang, Farhad Pourpanah:
Intuitionistic Fuzzy Twin Support Vector Machines. IEEE Trans. Fuzzy Syst. 27(11): 2140-2151 (2019) - [j118]Rong Chen, Shikai Guo, Xi-Zhao Wang, Tianlun Zhang:
Fusion of Multi-RSMOTE With Fuzzy Integral to Classify Bug Reports With an Imbalanced Distribution. IEEE Trans. Fuzzy Syst. 27(12): 2406-2420 (2019) - [j117]Wing W. Y. Ng, Jianjun Zhang, Chun Sing Lai, Witold Pedrycz, Loi Lei Lai, Xizhao Wang:
Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification. IEEE Trans. Ind. Informatics 15(3): 1588-1597 (2019) - [j116]Xi-Zhao Wang, Tianlun Zhang, Ran Wang:
Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 49(7): 1299-1308 (2019) - 2018
- [j115]Yi-Chao He, Haoran Xie, Tak-Lam Wong, Xizhao Wang:
A novel binary artificial bee colony algorithm for the set-union knapsack problem. Future Gener. Comput. Syst. 78: 77-86 (2018) - [j114]Laizhong Cui, Kai Zhang, Genghui Li, Xizhao Wang, Shu Yang, Zhong Ming, Joshua Zhexue Huang, Nan Lu:
A smart artificial bee colony algorithm with distance-fitness-based neighbor search and its application. Future Gener. Comput. Syst. 89: 478-493 (2018) - [j113]Jie Zhu, Shufang Wu, Xizhao Wang, Guoqing Yang, Liyan Ma:
Multi-image matching for object recognition. IET Comput. Vis. 12(3): 350-356 (2018) - [j112]Weipeng Cao, Xizhao Wang, Zhong Ming, Jinzhu Gao:
A review on neural networks with random weights. Neurocomputing 275: 278-287 (2018) - [j111]Wing W. Y. Ng, Xiancheng Zhou, Xing Tian, Xizhao Wang, Daniel S. Yeung:
Bagging-boosting-based semi-supervised multi-hashing with query-adaptive re-ranking. Neurocomputing 275: 916-923 (2018) - [j110]Zhiqi Huang, Xizhao Wang:
Sensitivity of data matrix rank in non-iterative training. Neurocomputing 313: 386-391 (2018) - [j109]Joel J. P. C. Rodrigues, Xizhao Wang, Arun Kumar Sangaiah, Michael Sheng:
Guest Editorial Special Issue on Integrated Computing: Computational Intelligence Paradigms and Internet of Things for Industrial Applications. IEEE Internet Things J. 5(3): 1572-1574 (2018) - [j108]Degang Chen, Xiaoxia Zhang, Xizhao Wang, Yanjun Liu:
Uncertainty learning of rough set-based prediction under a holistic framework. Inf. Sci. 463-464: 129-151 (2018) - [j107]Junhai Zhai, Xizhao Wang, Sufang Zhang, Shao-Xing Hou:
Tolerance rough fuzzy decision tree. Inf. Sci. 465: 425-438 (2018) - [j106]Zhi Wang, Xizhao Wang:
A deep stochastic weight assignment network and its application to chess playing. J. Parallel Distributed Comput. 117: 205-211 (2018) - [j105]Xizhao Wang, Jinhai Li:
Three-way decisions, concept lattice and granular computing: Editorial. Int. J. Mach. Learn. Cybern. 9(11): 1765-1766 (2018) - [j104]Xizhao Wang, Weipeng Cao:
Non-iterative approaches in training feed-forward neural networks and their applications. Soft Comput. 22(11): 3473-3476 (2018) - [j103]Xi-Zhao Wang, Ran Wang, Chen Xu:
Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification. IEEE Trans. Cybern. 48(2): 703-715 (2018) - [j102]Yanyan Yang, Degang Chen, Hui Wang, Xizhao Wang:
Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 26(3): 1257-1273 (2018) - [j101]Patrick P. K. Chan, Weiwen Liu, Danni Chen, Daniel S. Yeung, Fei Zhang, Xizhao Wang, Chien-Chang Hsu:
Face Liveness Detection Using a Flash Against 2D Spoofing Attack. IEEE Trans. Inf. Forensics Secur. 13(2): 521-534 (2018) - [j100]Changzhong Wang, Qinghua Hu, Xizhao Wang, Degang Chen, Yuhua Qian, Zhe Dong:
Feature Selection Based on Neighborhood Discrimination Index. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2986-2999 (2018) - 2017
- [j99]Jinhai Li, Cherukuri Aswani Kumar, Changlin Mei, Xizhao Wang:
Comparison of reduction in formal decision contexts. Int. J. Approx. Reason. 80: 100-122 (2017) - [j98]Hong Zhu, Yi-Chao He, Xizhao Wang, Eric C. C. Tsang:
Discrete differential evolutions for the discounted {0-1} knapsack problem. Int. J. Bio Inspired Comput. 10(4): 219-238 (2017) - [j97]Weihua Xu, Mengmeng Li, Xizhao Wang:
Information Fusion Based on Information Entropy in Fuzzy Multi-source Incomplete Information System. Int. J. Fuzzy Syst. 19(4): 1200-1216 (2017) - [j96]Hong Zhu, Eric C. C. Tsang, Xi-Zhao Wang, Rana Aamir Raza Ashfaq:
Monotonic classification extreme learning machine. Neurocomputing 225: 205-213 (2017) - [j95]Hongyu Zhu, Xizhao Wang:
A cost-sensitive semi-supervised learning model based on uncertainty. Neurocomputing 251: 106-114 (2017) - [j94]Shixin Zhao, Xi-Zhao Wang, Li-Ying Wang, Jun-Mei Hu, Wei-Ping Li:
Analysis on fast training speed of extreme learning machine and replacement policy. Int. J. Wirel. Mob. Comput. 13(4): 314-322 (2017) - [j93]Rana Aamir Raza Ashfaq, Xi-Zhao Wang, Joshua Zhexue Huang, Haider Abbas, Yu-Lin He:
Fuzziness based semi-supervised learning approach for intrusion detection system. Inf. Sci. 378: 484-497 (2017) - [j92]Laizhong Cui, Genghui Li, Xizhao Wang, Qiuzhen Lin, Jianyong Chen, Nan Lu, Jian Lu:
A ranking-based adaptive artificial bee colony algorithm for global numerical optimization. Inf. Sci. 417: 169-185 (2017) - [j91]Rana Aamir Raza Ashfaq, Xi-Zhao Wang:
Impact of fuzziness categorization on divide and conquer strategy for instance selection. J. Intell. Fuzzy Syst. 33(2): 1007-1018 (2017) - [j90]Hong-Jie Xing, Xi-Zhao Wang:
Selective ensemble of SVDDs with Renyi entropy based diversity measure. Pattern Recognit. 61: 185-196 (2017) - [j89]Ran Wang, Xi-Zhao Wang, Sam Kwong, Chen Xu:
Incorporating Diversity and Informativeness in Multiple-Instance Active Learning. IEEE Trans. Fuzzy Syst. 25(6): 1460-1475 (2017) - 2016
- [j88]Junhai Zhai, Qing-yan Shao, Xizhao Wang:
Improvements for P-ELM1 and P-ELM2 Pruning Algorithms in Extreme Learning Machines. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 24(3): 327-346 (2016) - [j87]Huanyu Zhao, Zhaowei Dong, Tongliang Li, Xizhao Wang, Chaoyi Pang:
Segmenting time series with connected lines under maximum error bound. Inf. Sci. 345: 1-8 (2016) - [j86]Yu-Lin He, Xizhao Wang, Joshua Zhexue Huang:
Fuzzy nonlinear regression analysis using a random weight network. Inf. Sci. 364-365: 222-240 (2016) - [j85]Junhai Zhai, Xizhao Wang, Xiaohe Pang:
Voting-based instance selection from large data sets with MapReduce and random weight networks. Inf. Sci. 367-368: 1066-1077 (2016) - [j84]Yi-Chao He, Xi-Zhao Wang, Yu-Lin He, Shuliang Zhao, Wen-Bin Li:
Exact and approximate algorithms for discounted {0-1} knapsack problem. Inf. Sci. 369: 634-647 (2016) - [j83]Jun-Hai Zhai, Ta Li, Xizhao Wang:
A cross-selection instance algorithm. J. Intell. Fuzzy Syst. 30(2): 717-728 (2016) - [j82]Ming-Wen Shao, Yee Leung, Xi-Zhao Wang, Wei-Zhi Wu:
Granular reducts of formal fuzzy contexts. Knowl. Based Syst. 114: 156-166 (2016) - [j81]Junhai Zhai, Qing-yan Shao, Xizhao Wang:
Architecture Selection of ELM Networks Based on Sensitivity of Hidden Nodes. Neural Process. Lett. 44(2): 471-489 (2016) - 2015
- [j80]Yu-Lin He, James Nga-Kwok Liu, Yan-Xing Hu, Xi-Zhao Wang:
OWA operator based link prediction ensemble for social network. Expert Syst. Appl. 42(1): 21-50 (2015) - [j79]Xizhao Wang, Joshua Zhexue Huang:
Editorial: Uncertainty in learning from big data. Fuzzy Sets Syst. 258: 1-4 (2015) - [j78]Shu-Xia Lu, Xizhao Wang, Guiqiang Zhang, Xu Zhou:
Effective algorithms of the Moore-Penrose inverse matrices for extreme learning machine. Intell. Data Anal. 19(4): 743-760 (2015) - [j77]Xizhao Wang:
Learning from big data with uncertainty - editorial. J. Intell. Fuzzy Syst. 28(5): 2329-2330 (2015) - [j76]Xi-Zhao Wang, Rana Aamir Raza Ashfaq, Ai-Min Fu:
Fuzziness based sample categorization for classifier performance improvement. J. Intell. Fuzzy Syst. 29(3): 1185-1196 (2015) - [j75]Hui-Min Feng, Xizhao Wang:
Performance improvement of classifier fusion for batch samples based on upper integral. Neural Networks 63: 87-93 (2015) - [j74]Ran Wang, Sam Kwong, Xizhao Wang, Qingshan Jiang:
Segment Based Decision Tree Induction With Continuous Valued Attributes. IEEE Trans. Cybern. 45(7): 1262-1275 (2015) - [j73]Xizhao Wang, Hong-Jie Xing, Yan Li, Qiang Hua, Chun-Ru Dong, Witold Pedrycz:
A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning. IEEE Trans. Fuzzy Syst. 23(5): 1638-1654 (2015) - 2014
- [j72]Hong-Yan Ji, Xi-Zhao Wang, Yu-Lin He, Wen-Liang Li:
A study on relationships between heuristics and optimal cuts in decision tree induction. Comput. Electr. Eng. 40(5): 1429-1438 (2014) - [j71]Ai-Min Fu, Xi-Zhao Wang, Yu-Lin He, Lai-Sheng Wang:
A study on residence error of training an extreme learning machine and its application to evolutionary algorithms. Neurocomputing 146: 75-82 (2014) - [j70]Chunru Dong, Wing W. Y. Ng, Xi-Zhao Wang, Patrick P. K. Chan, Daniel S. Yeung:
An improved differential evolution and its application to determining feature weights in similarity-based clustering. Neurocomputing 146: 95-103 (2014) - [j69]Yu-Lin He, Ran Wang, Sam Kwong, Xi-Zhao Wang:
Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis. Inf. Sci. 259: 252-268 (2014) - [j68]Xi-Zhao Wang, Abdallah Bashir Musa:
Advances in neural network based learning. Int. J. Mach. Learn. Cybern. 5(1): 1-2 (2014) - [j67]James N. K. Liu, Yu-Lin He, Edward H. Y. Lim, Xizhao Wang:
Domain ontology graph model and its application in Chinese text classification. Neural Comput. Appl. 24(3-4): 779-798 (2014) - [j66]Xi-Zhao Wang, Yu-Lin He, Debby Dan Wang:
Non-Naive Bayesian Classifiers for Classification Problems With Continuous Attributes. IEEE Trans. Cybern. 44(1): 21-39 (2014) - [j65]Xi-Zhao Wang, Ran Wang, Hui-Min Feng, Hua-Chao Wang:
A New Approach to Classifier Fusion Based on Upper Integral. IEEE Trans. Cybern. 44(5): 620-635 (2014) - [j64]Xi-Zhao Wang, Hui Wang:
Guest editorial: learning from uncertainty and its application to intelligent systems of web information. World Wide Web 17(5): 1027-1028 (2014) - 2013
- [j63]Xi-Zhao Wang, Qing-yan Shao, Qing Miao, Jun-Hai Zhai:
Architecture selection for networks trained with extreme learning machine using localized generalization error model. Neurocomputing 102: 3-9 (2013) - [j62]Lisha Hu, Shu-Xia Lu, Xizhao Wang:
A new and informative active learning approach for support vector machine. Inf. Sci. 244: 142-160 (2013) - [j61]Suyun Zhao, Xizhao Wang, Degang Chen, Eric C. C. Tsang:
Nested structure in parameterized rough reduction. Inf. Sci. 248: 130-150 (2013) - [j60]Yu-Lin He, Xizhao Wang, Tingting Fu:
A Combined Position Evaluation Function in Chinese Chess Computer Game. Trans. Comput. Sci. 17: 31-50 (2013) - [j59]James N. K. Liu, Yu-Lin He, Edward H. Y. Lim, Xizhao Wang:
A New Method for Knowledge and Information Management Domain Ontology Graph Model. IEEE Trans. Syst. Man Cybern. Syst. 43(1): 115-127 (2013) - 2012
- [j58]Yu-Lin He, James N. K. Liu, Xizhao Wang, Yan-Xing Hu:
Optimal bandwidth selection for re-substitution entropy estimation. Appl. Math. Comput. 219(8): 3425-3460 (2012) - [j57]Qiang Hua, Lijie Bai, Xi-Zhao Wang, Yuchao Liu:
Local similarity and diversity preserving discriminant projection for face and handwriting digits recognition. Neurocomputing 86: 150-157 (2012) - [j56]Xi-Zhao Wang, Dianhui Wang, Guang-Bin Huang:
Editorial. Soft Comput. 16(9): 1461-1463 (2012) - [j55]Ran Wang, Sam Kwong, Xizhao Wang:
A study on random weights between input and hidden layers in extreme learning machine. Soft Comput. 16(9): 1465-1475 (2012) - [j54]Jun-Hai Zhai, Hong-Yu Xu, Xi-Zhao Wang:
Dynamic ensemble extreme learning machine based on sample entropy. Soft Comput. 16(9): 1493-1502 (2012) - [j53]Xi-Zhao Wang, Ling-Cai Dong, Jian-Hui Yan:
Maximum Ambiguity-Based Sample Selection in Fuzzy Decision Tree Induction. IEEE Trans. Knowl. Data Eng. 24(8): 1491-1505 (2012) - 2011
- [j52]Xizhao Wang, Aixia Chen, Hui-Min Feng:
Upper integral network with extreme learning mechanism. Neurocomputing 74(16): 2520-2525 (2011) - [j51]Hao-Xin Zhao, Hong-Jie Xing, Xi-Zhao Wang:
Two-stage dimensionality reduction approach based on 2DLDA and fuzzy rough sets technique. Neurocomputing 74(17): 3722-3727 (2011) - [j50]Xizhao Wang, Yu-Lin He, Ling-Cai Dong, Huanyu Zhao:
Particle swarm optimization for determining fuzzy measures from data. Inf. Sci. 181(19): 4230-4252 (2011) - [j49]Witold Pedrycz, Daniel S. Yeung, Xizhao Wang:
Recent advances on machine learning and Cybernetics. Soft Comput. 15(6): 1039 (2011) - 2010
- [j48]Degang Chen, Qiang He, Xizhao Wang:
FRSVMs: Fuzzy rough set based support vector machines. Fuzzy Sets Syst. 161(4): 596-607 (2010) - [j47]Xi-Zhao Wang:
International journal of machine learning and cybernetics. Int. J. Mach. Learn. Cybern. 1(1-4): 1-2 (2010) - [j46]Suyun Zhao, Eric C. C. Tsang, Degang Chen, Xizhao Wang:
Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach. IEEE Trans. Knowl. Data Eng. 22(5): 624-638 (2010) - 2009
- [j45]Xi-Zhao Wang, Chun-Ru Dong:
Improving Generalization of Fuzzy IF-THEN Rules by Maximizing Fuzzy Entropy. IEEE Trans. Fuzzy Syst. 17(3): 556-567 (2009) - 2008
- [j44]Xizhao Wang, Jun-Hai Zhai, Su-Fang Zhang:
A model of finite-step random walk with absorbent boundaries. Int. J. Comput. Math. 85(11): 1685-1696 (2008) - [j43]Xizhao Wang, Chun-Guo Li, Daniel S. Yeung, ShiJi Song, Hui-Min Feng:
A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis. Neurocomputing 71(7-9): 1515-1526 (2008) - [j42]Xizhao Wang, Yuanyan Tang, Daniel S. Yeung:
Editorial. Int. J. Pattern Recognit. Artif. Intell. 22(1): 1-2 (2008) - [j41]Xizhao Wang, Shu-Xia Lu, Jun-Hai Zhai:
Fast Fuzzy Multicategory SVM Based on Support Vector Domain Description. Int. J. Pattern Recognit. Artif. Intell. 22(1): 109-120 (2008) - [j40]Daniel S. Yeung, Xizhao Wang, Degang Chen:
Preface: Recent advances in granular computing. Inf. Sci. 178(16): 3161-3162 (2008) - [j39]Xizhao Wang, Jun-Hai Zhai, Shu-Xia Lu:
Induction of multiple fuzzy decision trees based on rough set technique. Inf. Sci. 178(16): 3188-3202 (2008) - [j38]Wing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang:
Feature selection using localized generalization error for supervised classification problems using RBFNN. Pattern Recognit. 41(12): 3706-3719 (2008) - [j37]Eric C. C. Tsang, Degang Chen, Daniel S. Yeung, Xizhao Wang, John W. T. Lee:
Attributes Reduction Using Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 16(5): 1130-1141 (2008) - 2007
- [j36]Degang Chen, Qiang He, Xizhao Wang:
On linear separability of data sets in feature space. Neurocomputing 70(13-15): 2441-2448 (2007) - [j35]Xizhao Wang, Chunru Dong, Tie-Gang Fan:
Training T-S norm neural networks to refine weights for fuzzy if-then rules. Neurocomputing 70(13-15): 2581-2587 (2007) - [j34]Shuyuan Jin, Daniel S. Yeung, Xizhao Wang:
Internet Anomaly Detection Based on Statistical Covariance Matrix. Int. J. Pattern Recognit. Artif. Intell. 21(3): 591-606 (2007) - [j33]Xizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung:
Learning fuzzy rules from fuzzy samples based on rough set technique. Inf. Sci. 177(20): 4493-4514 (2007) - [j32]Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang:
Structured large margin machines: sensitive to data distributions. Mach. Learn. 68(2): 171-200 (2007) - [j31]Shuyuan Jin, Daniel S. Yeung, Xizhao Wang:
Network intrusion detection in covariance feature space. Pattern Recognit. 40(8): 2185-2197 (2007) - [j30]Yan Li, Xizhao Wang, Minghu Ha:
An On-line Multi-CBR Agent Dispatching Algorithm. Soft Comput. 11(1): 1-5 (2007) - [j29]Zhi-Qiang Liu, Xizhao Wang, Daniel S. Yeung:
Machine Learning Techniques: Problems and Applications. By Guest Editors: Zhi-Qiang Liu, Daniel So Yeung, Xi-Zhao Wang, and Eric Tsang. Soft Comput. 11(4): 309 (2007) - [j28]Xizhao Wang, Su-Fang Zhang, Jun-Hai Zhai:
A Nonlinear Integral Defined on Partition and its Application to Decision Trees. Soft Comput. 11(4): 317-321 (2007) - [j27]Wing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang:
Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries. Soft Comput. 11(4): 375-381 (2007) - [j26]Yan Li, Xizhao Wang, Minghu Ha:
An On-Line Multi-CBR Agent Dispatching Algorithm. Soft Comput. 11(4): 391-395 (2007) - [j25]Daniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang:
Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network. IEEE Trans. Neural Networks 18(5): 1294-1305 (2007) - [j24]Daniel S. Yeung, Shuyuan Jin, Xizhao Wang:
Covariance-Matrix Modeling and Detecting Various Flooding Attacks. IEEE Trans. Syst. Man Cybern. Part A 37(2): 157-169 (2007) - 2006
- [j23]Zhi-Qiang Liu, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang, John W. T. Lee:
Preface for the special issue: soft computing in machine learning and cybernetics in the journal Soft Computing. Soft Comput. 10(1): 1 (2006) - 2005
- [j22]Xizhao Wang, Qiang He, Degang Chen, Daniel S. Yeung:
A genetic algorithm for solving the inverse problem of support vector machines. Neurocomputing 68: 225-238 (2005) - [j21]Eric C. C. Tsang, Xizhao Wang:
An Approach To Case-Based Maintenance: Selecting Representative Cases. Int. J. Pattern Recognit. Artif. Intell. 19(1): 79-89 (2005) - [j20]Daniel S. Yeung, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Xizhao Wang:
On the generalization of fuzzy rough sets. IEEE Trans. Fuzzy Syst. 13(3): 343-361 (2005) - 2004
- [j19]Xizhao Wang, Yadong Wang, Lijuan Wang:
Improving fuzzy c-means clustering based on feature-weight learning. Pattern Recognit. Lett. 25(10): 1123-1132 (2004) - [j18]Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang:
Handling interaction in fuzzy production rule reasoning. IEEE Trans. Syst. Man Cybern. Part B 34(5): 1979-1987 (2004) - 2003
- [j17]Minghu Ha, Xizhao Wang, Lanzhen Yang, Yan Li:
Sequences of (S) fuzzy integrable functions. Fuzzy Sets Syst. 138(3): 507-522 (2003) - [j16]Guoqing Cao, Simon C. K. Shiu, Xizhao Wang:
A fuzzy-rough approach for the maintenance of distributed case-based reasoning systems. Soft Comput. 7(8): 491-499 (2003) - [j15]Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang:
OFFSS: optimal fuzzy-valued feature subset selection. IEEE Trans. Fuzzy Syst. 11(2): 202-213 (2003) - 2002
- [j14]Daniel S. Yeung, Xizhao Wang:
Improving Performance of Similarity-Based Clustering by Feature Weight Learning. IEEE Trans. Pattern Anal. Mach. Intell. 24(4): 556-561 (2002) - 2001
- [j13]Simon C. K. Shiu, Daniel S. Yeung, Cai Hung Sun, Xizhao Wang:
Transferring Case Knowledge to Adaptation Knowledge: An Approach for Case-Base Maintenance. Comput. Intell. 17(2): 295-314 (2001) - [j12]Xizhao Wang, Zimian Zhong, Minghu Ha:
Iteration algorithms for solving a system of fuzzy linear equations. Fuzzy Sets Syst. 119(1): 121-128 (2001) - [j11]Xizhao Wang, Yadong Wang, X. F. Xu, W. D. Ling, Daniel S. Yeung:
A new approach to fuzzy rule generation: fuzzy extension matrix. Fuzzy Sets Syst. 123(3): 291-306 (2001) - [j10]Daniel S. Yeung, Shenshan Qiu, Eric C. C. Tsang, Xizhao Wang:
A General Updating Rule for Discrete Hopfield-Type Neural Network with Time-Delay and the Corresponding Search Algorithm. Int. J. Comput. Intell. Appl. 1(4): 399-412 (2001) - [j9]Xizhao Wang, Daniel S. Yeung, Eric C. C. Tsang:
A comparative study on heuristic algorithms for generating fuzzy decision trees. IEEE Trans. Syst. Man Cybern. Part B 31(2): 215-226 (2001) - 2000
- [j8]Xizhao Wang, Bin Chen, Guoliang Qian, Feng Ye:
On the optimization of fuzzy decision trees. Fuzzy Sets Syst. 112(1): 117-125 (2000) - [j7]Eric C. C. Tsang, Xizhao Wang, Daniel S. Yeung:
Improving learning accuracy of fuzzy decision trees by hybrid neural networks. IEEE Trans. Fuzzy Syst. 8(5): 601-614 (2000) - 1999
- [j6]Xizhao Wang, Jiarong Hong:
Learning optimization in simplifying fuzzy rules. Fuzzy Sets Syst. 106(3): 349-356 (1999) - 1998
- [j5]Xizhao Wang, Minghu Ha:
Note on maxmin μ/E estimation. Fuzzy Sets Syst. 94(1): 71-75 (1998) - [j4]Minghu Ha, Xizhao Wang, Congxin Wu:
Fundamental convergence of sequences of measurable functions on fuzzy measure space. Fuzzy Sets Syst. 95(1): 77-81 (1998) - [j3]Xizhao Wang, Jiarong Hong:
On the handling of fuzziness for continuous-valued attributes in decision tree generation. Fuzzy Sets Syst. 99(3): 283-290 (1998) - 1997
- [j2]Minghu Ha, Xizhao Wang:
Some notes on the regularity of fuzzy measures on metric spaces. Fuzzy Sets Syst. 87(3): 385-387 (1997) - [j1]Minghu Ha, Lixin Cheng, Xizhao Wang:
Notes on Riesz's theorem on fuzzy measure space. Fuzzy Sets Syst. 90(3): 361-363 (1997)
Conference and Workshop Papers
- 2023
- [c86]Si Cen, Han Liu, Chao Liu, Xiaoying Zou, Guoquan Dai, Xizhao Wang:
An End-to-End Training Method to Ensemble Bi-Linear Models for Knowledge Graph Completion. ICMLC 2023: 25-30 - [c85]Jinghong Wang, Hui Wang, Jiateng Yang, Xizhao Wang:
Unsupervised Community Discovery Algorithm via Reconstructed Graph Neural NEtwork. ICMLC 2023: 120-127 - [c84]Yanting Guo, Meng Hu, Qiang Liu, Eric C. C. Tsang, Xizhao Wang:
Local Weighted Neighborhood Rough Sets for Weakly Labeled Data. ICMLC 2023: 147-152 - 2021
- [c83]Lanzhen Yang, Eric C. C. Tsang, Xi-Zhao Wang:
An Object-Induced Fuzzy Three-Way Concept Lattice Analysis Based on Two Thresholds. ICMLC 2021: 1-6 - [c82]Tao Liu, Yuanzi Zhou, Junzhong Bao, Xizhao Wang, Pengfei Zhang:
A Novel Approach to Ship Operational Risk Analysis Based on D-S Evidence Theory. NCAA 2021: 728-741 - 2020
- [c81]Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang:
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. CSCloud/EdgeCom 2020: 120-125 - [c80]Xizhao Wang, Zhongwu Xie, Weipeng Cao, Zhong Ming:
A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning. ICA3PP (2) 2020: 352-364 - [c79]Junzhong Bao, Yuanzi Zhou, Peixin Shi, Xizhao Wang:
Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables. NCAA 2020: 220-233 - 2019
- [c78]Bella Martínez-Seis, Xiaoou Li, Xizhao Wang:
Measure community quality by attribute importance and density in social networks. CASE 2019: 628-633 - [c77]Farhad Pourpanah, Ran Wang, Xizhao Wang:
Feature Selection for Data Classification based on Binary Brain Storm Optimization. CCIS 2019: 108-113 - [c76]Weipeng Cao, Muhammed J. A. Patwary, Pengfei Yang, Xizhao Wang, Zhong Ming:
An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW. IJCNN 2019: 1-8 - [c75]Farhad Pourpanah, Ran Wang, Xizhao Wang, Yuhui Shi, Danial Yazdani:
mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems. SSCI 2019: 673-679 - [c74]Hui Wang, Weiran Song, Nanfeng Jiang, Jordan Vincent, Zhiyuan Song, Xizhao Wang:
Camera2Video: A Low-Cost Food Authentication System Using Smartphone Videos. SSIP 2019: 49-52 - 2018
- [c73]Weipeng Cao, Jinzhu Gao, Xizhao Wang, Zhong Ming, Shubin Cai:
Random Orthogonal Projection Based Enhanced Bidirectional Extreme Learning Machine. ELM 2018: 1-10 - [c72]Salim Rezvani, Xizhao Wang:
A New Type-2 Intuitionistic Exponential Triangular Fuzzy Number and Its Ranking Method with Centroid Concept and Euclidean Distance. FUZZ-IEEE 2018: 1-8 - [c71]Peng Yao, Xi-Zhao Wang:
Weight Learning in Weighted ELM Classification Model Based on Genetic Algorithms. ICMLC 2018: 370-377 - 2016
- [c70]Qin Lin, Cui-Hong Wu, Wen-Cheng Gu, Jingjing Liu, Yun Xue, Xi-Zhao Wang, Xiaohui Hu:
A novel approach for epileptic EEG signals classification based on biclustering technique. ICMLC 2016: 756-760 - [c69]Yixin Cui, Junhai Zhai, Xizhao Wang:
Extreme learning machine based on cross entropy. ICMLC 2016: 1066-1071 - [c68]Zhi Wang, Junhai Zhai, Xizhao Wang:
Deep stochastic weight assignment network of Chinese chess machine game. ICMLC 2016: 1072-1077 - [c67]Yu-Lin He, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang, Xizhao Wang:
Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification. PAKDD Workshops 2016: 48-60 - [c66]Sheng Xing, Yu-Lin He, Hong Zhu, Xizhao Wang:
An approach to sample selection from big data for classification. SMC 2016: 2928-2935 - 2015
- [c65]Pm-Zhou Zhang, Shixin Zhao, Xi-Zhao Wang:
The failure analysis of extreme learning machine on big data and the counter measure. ICMLC 2015: 849-853 - [c64]Yu-Lin He, Joshua Zhexue Huang, Xizhao Wang, Rana Aamir Raza:
Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models. PAKDD (1) 2015: 405-417 - 2014
- [c63]James Nga-Kwok Liu, Yan-Xing Hu, Yu-Lin He, Xizhao Wang:
Regression ensemble with PSO algorithms based fuzzy integral. IEEE Congress on Evolutionary Computation 2014: 762-768 - [c62]Donghui Wang, Junhai Zhai, Hong Zhu, Xizhao Wang:
An Improved Approach to Ordinal Classification. ICMLC (CCIS volume) 2014: 33-42 - [c61]Jiankai Chen, Junhai Zhai, Xizhao Wang:
Study and Improvement of Ordinal Decision Trees Based on Rank Entropy. ICMLC (CCIS volume) 2014: 207-218 - [c60]Hong Zhu, Junhai Zhai, Shanshan Wang, Xizhao Wang:
Monotonic Decision Tree for Interval Valued Data. ICMLC (CCIS volume) 2014: 231-240 - [c59]Shanshan Wang, Junhai Zhai, Hong Zhu, Xizhao Wang:
Parallel Ordinal Decision Tree Algorithm and Its Implementation in Framework of MapReduce. ICMLC (CCIS volume) 2014: 241-251 - [c58]Shixin Zhao, Xizhao Wang:
Extreme Learning Machine for Interval-Valued Data. ICMLC (CCIS volume) 2014: 388-399 - [c57]James N. K. Liu, Yu-Lin He, Yan-Xing Hu, Xi-Zhao Wang, Simon C. K. Shiu:
Integrating Local Information-based Link Prediction Algorithms with OWA Operator. ICPRAM 2014: 213-219 - [c56]Jun-Hai Zhai, Xi-Zhao Wang, Hua-Chao Wang:
Dynamic Ensemble of Rough Set Reducts for Data Classification. RSKT 2014: 642-649 - [c55]Yan Li, Hong-Jie Xing, Qiang Hua, Xi-Zhao Wang, Prerna Batta, Soroush Haeri, Ljiljana Trajkovic:
Classification of BGP anomalies using decision trees and fuzzy rough sets. SMC 2014: 1312-1317 - [c54]Jun-Hai Zhai, Jinggeng Wang, Xizhao Wang:
Ensemble online sequential extreme learning machine for large data set classification. SMC 2014: 2250-2255 - 2013
- [c53]Chun-Ru Dong, Daniel S. Yeung, Xi-Zhao Wang:
An improved differential evolution and its application to determining feature weights in similarity based clustering. ICMLC 2013: 831-838 - [c52]Xizhao Wang, Daniel S. Yeung:
Greetings from the General Chairs. ICMLC 2013: I-II - 2012
- [c51]James N. K. Liu, Yu-Lin He, Xizhao Wang:
Improving kernel incapability by equivalent probability in flexible naïve Bayesian. FUZZ-IEEE 2012: 1-8 - [c50]James N. K. Liu, Yu-Lin He, Xizhao Wang, Yan-Xing Hu:
Naive Bayesian Classifier Based on Neighborhood Probability. IPMU (3) 2012: 112-121 - [c49]Shu-Xia Lu, Guiqiang Zhang, Xizhao Wang:
A Rank Reduced Matrix Method in Extreme Learning Machine. ISNN (1) 2012: 72-79 - [c48]Xizhao Wang, Meng Zhang, Shu-Xia Lu, Xu Zhou:
A total error rate multi-class classification. SMC 2012: 964-969 - [c47]Xizhao Wang, Qing Miao, Meng-Yao Zhai, Junhai Zhai:
Instance selection based on sample entropy for efficient data classification with ELM. SMC 2012: 970-974 - 2011
- [c46]James N. K. Liu, Yu-Lin He, Xizhao Wang, Yan-Xing Hu:
A comparative study among different kernel functions in flexible naïve Bayesian classification. ICMLC 2011: 638-643 - [c45]Yan Li, Jin Zhao, Na-Xin Sun, Xizhao Wang, Jun-Hai Zhai:
Discernibility-Matrix Method Based on the Hybrid of Equivalence and Dominance Relations. RSFDGrC 2011: 231-239 - [c44]Hong-Jie Xing, Xizhao Wang, Minghu Ha:
A comparative experimental study of feature-weight learning approaches. SMC 2011: 3500-3505 - [c43]Xue-Fang Chen, Hong-Jie Xing, Xi-Zhao Wang:
A modified AdaBoost method for one-class SVM and its application to novelty detection. SMC 2011: 3506-3511 - [c42]Junhai Zhai, Yuanyuan Gao, Meng-Yao Zhai, Xizhao Wang:
Rough set model and its eight extensions. SMC 2011: 3512-3517 - 2010
- [c41]Li-Li Sun, Xi-Zhao Wang:
A survey on active learning strategy. ICMLC 2010: 161-166 - [c40]Wen-Liang Li, Rui-Hua Yu, Xi-Zhao Wang:
Discretization of continuous-valued attributes in decision tree generation. ICMLC 2010: 194-198 - [c39]Qiang Hua, Yue Gao, Xi-Zhao Wang, Bo-Yi Zhao:
A new approach to improving generalization ability of feed-foward neural networks. ICMLC 2010: 1413-1419 - [c38]Xizhao Wang, Xiang-Hui Gao, Qiang He:
Side effect of cut in decision tree generation for continuous attributes. SMC 2010: 1364-1369 - 2009
- [c37]Ying Zhang, Xizhao Wang, Junhai Zhai:
A Fast Support Vector Machine Classification Algorithm Based on Karush-Kuhn-Tucker Conditions. RSFDGrC 2009: 382-389 - [c36]Shan Su, Xizhao Wang, Junhai Zhai:
An Improved Cluster Oriented Fuzzy Decision Trees. RSFDGrC 2009: 447-454 - [c35]Ling-Cai Dong, Dan Wang, Xizhao Wang:
An Improved Sample Selection Algorithm in Fuzzy Decision Tree Induction. SMC 2009: 629-634 - [c34]Mingzhu Lu, C. L. Philip Chen, Jianbing Huo, Xizhao Wang:
Multi-Stage Decision Tree based on Inter-class and Inner-class Margin of SVM. SMC 2009: 1875-1880 - 2008
- [c33]Mingzhu Lu, C. L. Philip Chen, Jianbing Huo, Xizhao Wang:
Optimization of combined kernel function for SVM based on large margin learning theory. SMC 2008: 353-358 - [c32]Chun-Ru Dong, Ran Wang, Xi-Zhao Wang:
Parametric tuning of rule-based systems by maximum fuzzy entropy. SMC 2008: 433-438 - [c31]Hong-Jie Xing, Xizhao Wang, Ruixian Zhu, Dan Wang:
Application of kernel learning vector quantization to novelty detection. SMC 2008: 439-443 - 2007
- [c30]Degang Chen, Xizhao Wang, Suyun Zhao:
Attribute Reduction Based on Fuzzy Rough Sets. RSEISP 2007: 381-390 - [c29]Wing W. Y. Ng, Binbin Sun, Daniel S. Yeung, Xizhao Wang:
Heuristic improvement for active learning using localized generalization error as selection criterion. SMC 2007: 3588-3593 - [c28]Xizhao Wang, Shu-Xia Lu, Ruixian Zhu:
Solving SVM inverse problems based on clustering. SMC 2007: 3615-3620 - [c27]Xi-Zhao Wang, Jian-Hui Yan, Ran Wang, Chun-Ru Dong:
A sample selection algorithm in fuzzy decision tree induction and its theoretical analyses. SMC 2007: 3621-3626 - 2006
- [c26]Xizhao Wang, Hui Zhang:
A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection. ISNN (1) 2006: 1352-1358 - [c25]Chenxiao Yang, Xizhao Wang, Ruixian Zhu:
A Strategy of Merging Branches Based on Margin Enlargement of SVM in Decision Tree Induction. SMC 2006: 824-828 - [c24]Jianbing Huo, Xizhao Wang, Mingzhu Lu, Junfen Chen:
Induction of Multi-stage decision tree. SMC 2006: 835-839 - 2005
- [c23]Degang Chen, Qiang He, Xizhao Wang:
The Infinite Polynomial Kernel for Support Vector Machine. ADMA 2005: 267-275 - [c22]Xi-Zhao Wang, Jun Shen:
Using Special Structured Fuzzy Measure to Represent Interaction Among IF-THEN Rules. ICMLC 2005: 459-466 - [c21]John W. T. Lee, Xizhao Wang, Jinfeng Wang:
Reduction of Attributes in Ordinal Decision Systems. ICMLC 2005: 578-587 - [c20]Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang:
A Covariance Matrix Based Approach to Internet Anomaly Detection. ICMLC 2005: 691-700 - [c19]Qiang He, Xizhao Wang, Junfen Chen, Leifan Yan:
A Parallel Genetic Algorithm for Solving the Inverse Problem of Support Vector Machines. ICMLC 2005: 871-879 - [c18]Degang Chen, Qiang He, Chunru Dong, Xizhao Wang:
A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels. ICMLC 2005: 918-929 - [c17]Xizhao Wang, Chunguo Li:
A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction. ISNN (1) 2005: 81-86 - [c16]Caihong Sun, Simon Chi-Keung Shiu, Xizhao Wang:
Organizing Large Case Library by Linear Programming. MICAI 2005: 554-564 - [c15]Xi-Zhao Wang, Ying Xu, Ruixian Zhu:
Multilevel weighted fuzzy reasoning with interaction. SMC 2005: 708-715 - [c14]Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang:
A feature space analysis for anomaly detection. SMC 2005: 3599-3603 - 2004
- [c13]Xizhao Wang, Qiang He:
Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment. KES 2004: 1037-1043 - [c12]Xizhao Wang, Chunru Dong, Daniel S. Yeung:
A study on generalization capability of weighted fuzzy production rules with maximum entropy. SMC (4) 2004: 3181-3186 - 2003
- [c11]Xizhao Wang, Minghua Zhao, Dianhui Wang:
Selection of Parameters in Building Fuzzy Decision Trees. Australian Conference on Artificial Intelligence 2003: 282-292 - [c10]Shin-Xin Zhao, Xi-Zhao Wang:
Core and reduction from mutual relation view and their fuzzy generalization. SMC 2003: 2611-2616 - [c9]Eric C. C. Tsang, Xi-Zhao Wang:
Selecting representative cases by generalization capability. SMC 2003: 2617-2622 - [c8]John W. T. Lee, Daniel S. Yeung, Xizhao Wang:
Monotonic decision tree for ordinal classification. SMC 2003: 2623-2628 - 2001
- [c7]Guoqing Cao, Simon C. K. Shiu, Xizhao Wang:
A Fuzzy-Rough Approach for Case Base Maintenance. ICCBR 2001: 118-130 - [c6]Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang:
A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay. IJCAI 2001: 789-796 - [c5]Eric C. C. Tsang, Daniel S. Yeung, Xi-Zhao Wang:
Learning weights of fuzzy production rules by a max-min neural network. SMC 2001: 1485-1490 - [c4]Ruifeng Xu, Daniel S. Yeung, Xizhao Wang:
Using neural network classifier in post-processing system for handwritten Chinese character recognition. SMC 2001: 1497-1502 - 2000
- [c3]Simon C. K. Shiu, Cai Hung Sun, Xizhao Wang, Daniel S. Yeung:
Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees. EWCBR 2000: 285-296 - [c2]Xi-Zhao Wang, Daniel S. Yeung:
Using fuzzy integral to modeling case based reasoning with feature interaction. SMC 2000: 3660-3665 - [c1]Daniel S. Yeung, Xi-Zhao Wang:
Using a neuro-fuzzy technique to improve the clustering based on similarity. SMC 2000: 3693-3698
Parts in Books or Collections
- 2008
- [p1]Eric C. C. Tsang, Qingcai Chen, Suyun Zhao, Daniel S. Yeung, Xizhao Wang:
Hybridization of Fuzzy and Rough Sets: Present and Future. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 45-64
Editorship
- 2014
- [e2]Xizhao Wang, Witold Pedrycz, Patrick P. K. Chan, Qiang He:
Machine Learning and Cybernetics - 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings. Communications in Computer and Information Science 481, Springer 2014, ISBN 978-3-662-45651-4 [contents] - 2006
- [e1]Daniel S. Yeung, Zhi-Qiang Liu, Xizhao Wang, Hong Yan:
Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers. Lecture Notes in Computer Science 3930, Springer 2006, ISBN 3-540-33584-6 [contents]
Informal and Other Publications
- 2022
- [i7]Suyun Zhao, Zhi-Gang Dai, Xizhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li:
An Accelerator for Rule Induction in Fuzzy Rough Theory. CoRR abs/2201.03649 (2022) - [i6]Mengdie Wang, Liyuan Shang, Suyun Zhao, Yiming Wang, Hong Chen, Cuiping Li, Xizhao Wang:
Oracle-guided Contrastive Clustering. CoRR abs/2211.00409 (2022) - 2021
- [i5]Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang:
Adversarial Learning with Cost-Sensitive Classes. CoRR abs/2101.12372 (2021) - [i4]Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang:
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. CoRR abs/2111.01968 (2021) - 2020
- [i3]Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang:
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. CoRR abs/2005.08704 (2020) - [i2]Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang:
A Review of Generalized Zero-Shot Learning Methods. CoRR abs/2011.08641 (2020) - [i1]Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang:
Generalized Adversarial Examples: Attacks and Defenses. CoRR abs/2011.14045 (2020)
Coauthor Index
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