Xizhao Wang

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 139

Top Venues

Inf. Sci.

Neurocomputing

Int. J. Mach. Learn. Cybern.

IEEE Trans. Fuzzy Syst.

Publications

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) (2024)
Tianlun Zhang, Xizhao Wang
Anchorwise Fuzziness Modeling in Convolution-Transformer Neural Network for Left Atrium Image Segmentation. IEEE Trans. Fuzzy Syst. 32 (2) (2024)
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 (2024)
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 (2024)
Hufsa Khan, Muhammad Tahir Rasheed, Shengli Zhang, Xizhao Wang, Han Liu
Empirical study of outlier impact in classification context. Expert Syst. Appl. 256 (2024)
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 (2024)
Meng Hu, Yanting Guo, Ran Wang, Xizhao Wang
Attribute reduction with fuzzy kernel-induced relations. Inf. Sci. 669 (2024)
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 (2024)
Chong Liu, Yi Wang, Dong Li, Xizhao Wang
Domain-incremental learning without forgetting based on random vector functional link networks. Pattern Recognit. 151 (2024)
Salim Rezvani, Xizhao Wang
A broad review on class imbalance learning techniques. Appl. Soft Comput. 143 (2023)
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) (2023)
Jinghong Wang, Hui Wang, Jiateng Yang, Xizhao Wang
Unsupervised Community Discovery Algorithm via Reconstructed Graph Neural NEtwork. ICMLC (2023)
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)
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) (2023)
Shiping Wang, Xincan Lin, Yiqing Shi, Xizhao Wang
Algorithm for orthogonal matrix nearness and its application to feature representation. Inf. Sci. 623 (2023)
Lanzhen Yang, Eric C. C. Tsang, Xizhao Wang, Chengling Zhang
ELM parameter estimation in view of maximum likelihood. Neurocomputing 557 (2023)
Yanting Guo, Meng Hu, Qiang Liu, Eric C. C. Tsang, Xizhao Wang
Local Weighted Neighborhood Rough Sets for Weakly Labeled Data. ICMLC (2023)
Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang
Adversarial Learning With Cost-Sensitive Classes. IEEE Trans. Cybern. 53 (8) (2023)
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) (2023)
Si Cen, Xizhao Wang, Xiaoying Zou, Chao Liu, Guoquan Dai
New attention strategy for negative sampling in knowledge graph embedding. Appl. Intell. 53 (22) (2023)
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) (2023)
Jianhua Dai, Xiongtao Zou, Yuhua Qian, Xizhao Wang
Multifuzzy $\beta$-Covering Approximation Spaces and Their Information Measures. IEEE Trans. Fuzzy Syst. 31 (3) (2023)
Xinlei Zhou, Sudong Chen, Nianjiao Peng, Xinpeng Zhou, Xizhao Wang
Uncertainty guided pruning of classification model tree. Knowl. Based Syst. 259 (2023)
Hufsa Khan, Xizhao Wang, Han Liu
A study on relationship between prediction uncertainty and robustness to noisy data. Int. J. Syst. Sci. 54 (6) (2023)
Yan Li, Xiaoxue Wu, Xizhao Wang
Incremental reduction methods based on granular ball neighborhood rough sets and attribute grouping. Int. J. Approx. Reason. 160 (2023)
Qin Wang, Jingna Liu, Wenwu Guo, Xizhao Wang
Evolving stochastic configure network: A more compact model with interpretability. Inf. Sci. 639 (2023)
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)
Mei Yang, Yu-Xuan Zhang, Xizhao Wang, Fan Min
Multi-Instance Ensemble Learning With Discriminative Bags. IEEE Trans. Syst. Man Cybern. Syst. 52 (9) (2022)
Sihong Chen, Haojing Shen, Ran Wang, Xizhao Wang
Towards improving fast adversarial training in multi-exit network. Neural Networks 150 (2022)
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 (2022)
Guoquan Dai, Xizhao Wang, Xiaoying Zou, Chao Liu, Si Cen
MRGAT: Multi-Relational Graph Attention Network for knowledge graph completion. Neural Networks 154 (2022)
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 (2022)
Yulin He, Xizhao Wang, Joshua Zhexue Huang
Correction to: Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. 13 (2) (2022)
Salim Rezvani, Xizhao Wang
Intuitionistic fuzzy twin support vector machines for imbalanced data. Neurocomputing 507 (2022)
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 (2022)
Xiaoying Zou, Xizhao Wang, Si Cen, Guoquan Dai, Chao Liu
Knowledge graph embedding with self adaptive double-limited loss. Knowl. Based Syst. 252 (2022)
Juncheng Li, Faming Fang, Tieyong Zeng, Guixu Zhang, Xizhao Wang
Adjustable super-resolution network via deep supervised learning and progressive self-distillation. Neurocomputing 500 (2022)
Hufsa Khan, Xizhao Wang, Han Liu
Handling missing data through deep convolutional neural network. Inf. Sci. 595 (2022)
Hong Zhu, Xizhao Wang, Ran Wang
Fuzzy Monotonic K-Nearest Neighbor Versus Monotonic Fuzzy K-Nearest Neighbor. IEEE Trans. Fuzzy Syst. 30 (9) (2022)
Chao Liu, Xizhao Wang, Han Liu, Xiaoying Zou, Si Cen, Guoquan Dai
Learning to recommend journals for submission based on embedding models. Neurocomputing 508 (2022)
Weipeng Cao, Yuhao Wu, Chengchao Huang, Muhammed J. A. Patwary, Xizhao Wang
MFF: Multi-modal feature fusion for zero-shot learning. Neurocomputing 510 (2022)
Mengdie Wang, Liyuan Shang, Suyun Zhao, Yiming Wang, Hong Chen, Cuiping Li, Xizhao Wang
Oracle-guided Contrastive Clustering. CoRR (2022)
Yulin He, Xizhao Wang, Joshua Zhexue Huang
Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. 13 (2) (2022)
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 (2022)
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 (2021)
Yichao He, Xizhao Wang
Group theory-based optimization algorithm for solving knapsack problems. Knowl. Based Syst. 219 (2021)
Hufsa Khan, Xizhao Wang, Han Liu
Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering. Comput. Electr. Eng. 93 (2021)
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) (2021)
Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang
Adversarial Learning with Cost-Sensitive Classes. CoRR (2021)
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) (2021)
Yuxuan Luo, Xizhao Wang, Farhad Pourpanah
Dual VAEGAN: A generative model for generalized zero-shot learning. Appl. Soft Comput. 107 (2021)
Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. CoRR (2021)
Salim Rezvani, Xizhao Wang
Class imbalance learning using fuzzy ART and intuitionistic fuzzy twin support vector machines. Inf. Sci. 578 (2021)
Lei Zhang, Qingyan Duan, David Zhang, Wei Jia, Xizhao Wang
AdvKin: Adversarial Convolutional Network for Kinship Verification. IEEE Trans. Cybern. 51 (12) (2021)
Jingna Liu, Rujiang Hao, Tianlun Zhang, Xizhao Wang
Vibration fault diagnosis based on stochastic configuration neural networks. Neurocomputing 434 (2021)
Weipeng Cao, Zhongwu Xie, Jianqiang Li, Zhiwu Xu, Zhong Ming, Xizhao Wang
Bidirectional stochastic configuration network for regression problems. Neural Networks 140 (2021)
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)
Jafar Gholami, Farhad Pourpanah, Xizhao Wang
Feature selection based on improved binary global harmony search for data classification. Appl. Soft Comput. 93 (2020)
Xizhao Wang, Jinhai Li
New advances in three-way decision, granular computing and concept lattice. Int. J. Mach. Learn. Cybern. 11 (5) (2020)
Dongmei Mo, Zhihui Lai, Xizhao Wang, Wai-Keung Wong
Jointly Sparse Locality Regression for Image Feature Extraction. IEEE Trans. Multim. 22 (11) (2020)
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 (2020)
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) (2020)
Xinlei Zhou, Xizhao Wang, Cong Hu, Ran Wang
An analysis on the relationship between uncertainty and misclassification rate of classifiers. Inf. Sci. 535 (2020)
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) (2020)
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)
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 (2020)
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 (2020)
Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. CoRR (2020)
Tianlun Zhang, Yang Li, Xizhao Wang
Gaussian prior based adaptive synthetic sampling with non-linear sample space for imbalanced learning. Knowl. Based Syst. 191 (2020)
Yang Li, Zeshui Xu, Xinxin Wang, Xizhao Wang
A bibliometric analysis on deep learning during 2007-2019. Int. J. Mach. Learn. Cybern. 11 (12) (2020)
Xizhao Wang, Yanxia Zhao, Farhad Pourpanah
Recent advances in deep learning. Int. J. Mach. Learn. Cybern. 11 (4) (2020)
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 (2020)
Xizhao Wang, Zhongwu Xie, Weipeng Cao, Zhong Ming
A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning. ICA3PP (2) (2020)
Yuxuan Luo, Xizhao Wang, Weipeng Cao
A novel dataset-specific feature extractor for zero-shot learning. Neurocomputing 391 (2020)
Tianlun Zhang, Xi Yang, Xizhao Wang, Ran Wang
Deep joint neural model for single image haze removal and color correction. Inf. Sci. 541 (2020)
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) (2020)
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)
Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang
Generalized Adversarial Examples: Attacks and Defenses. CoRR (2020)
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 (2019)
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 (2019)
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 (2019)
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) (2019)
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) (2019)
Hui Wang, Weiran Song, Nanfeng Jiang, Jordan Vincent, Zhiyuan Song, Xizhao Wang
Camera2Video: A Low-Cost Food Authentication System Using Smartphone Videos. SSIP (2019)
Zeshui Xu, Dejian Yu, Xizhao Wang
between 2010 and 2017. Int. J. Mach. Learn. Cybern. 10 (9) (2019)
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) (2019)
Li Zhao, Xizhao Wang
Seemingly unrelated extreme learning machine. Neurocomputing 355 (2019)
Farhad Pourpanah, Ran Wang, Xizhao Wang, Yuhui Shi, Danial Yazdani
mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems. SSCI (2019)
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) (2019)
Yichao He, Xizhao Wang, Suogang Gao
Ring Theory-Based Evolutionary Algorithm and its application to D{0-1} KP. Appl. Soft Comput. 77 (2019)
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 (2019)
Weipeng Cao, Zhong Ming, Xizhao Wang, Shubin Cai
Improved bidirectional extreme learning machine based on enhanced random search. Memetic Comput. 11 (1) (2019)
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) (2019)
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) (2019)
Salim Rezvani, Xizhao Wang, Farhad Pourpanah
Intuitionistic Fuzzy Twin Support Vector Machines. IEEE Trans. Fuzzy Syst. 27 (11) (2019)
Bella Martínez-Seis, Xiaoou Li, Xizhao Wang
Measure community quality by attribute importance and density in social networks. CASE (2019)
Farhad Pourpanah, Ran Wang, Xizhao Wang
Feature Selection for Data Classification based on Binary Brain Storm Optimization. CCIS (2019)
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 (2019)
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)
Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li
PARA: A positive-region based attribute reduction accelerator. Inf. Sci. 503 (2019)

Xizhao Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xizhao Wang