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2020 – today
- 2025
[j28]Yuehang Si, Xingchen Hu
, Qing Cheng, Xinwang Liu, Shixuan Liu, Jincai Huang:
Coherence mode: Characterizing local graph structural information for temporal knowledge graph. Inf. Sci. 686: 121357 (2025)- 2024
- [j27]Keyu Wu, Xingchen Hu, Hang Du, Kuihua Huang:
Adaptive wideband sensing scheme based on Bayesian experimental design. Evol. Intell. 17(1): 239-247 (2024) - [j26]Yan Li, Xingchen Hu, Tuanfei Zhu, Jiyuan Liu, Xinwang Liu, Zhong Liu:
Discriminative embedded multi-view fuzzy C-means clustering for feature-redundant and incomplete data. Inf. Sci. 677: 120830 (2024) - [j25]Weichang Sun, Zhihao Luo, Xingchen Hu, Witold Pedrycz, Jianmai Shi:
An improved variable neighborhood search algorithm embedded temporal and spatial synchronization for vehicle and drone cooperative routing problem with pre-reconnaissance. Swarm Evol. Comput. 91: 101699 (2024) - [j24]Xingchen Hu, Jindong Qin, Yinghua Shen, Witold Pedrycz, Xinwang Liu, Jiyuan Liu:
An Efficient Federated Multiview Fuzzy C-Means Clustering Method. IEEE Trans. Fuzzy Syst. 32(4): 1886-1899 (2024) - [j23]Xiubin Zhu, Xingchen Hu, Lan Yang, Witold Pedrycz, Zhiwu Li:
A Development of Fuzzy-Rule-Based Regression Models Through Using Decision Trees. IEEE Trans. Fuzzy Syst. 32(5): 2976-2986 (2024) - [j22]Xingchen Hu, Xiubin Zhu, Lan Yang, Witold Pedrycz, Zhiwu Li:
A Design of Fuzzy Rule-Based Classifier for Multiclass Classification and Its Realization in Horizontal Federated Learning. IEEE Trans. Fuzzy Syst. 32(9): 5098-5108 (2024) - [j21]Huimin Zhang, Xingchen Hu, Xiubin Zhu, Xinwang Liu, Witold Pedrycz:
Application of Gradient Boosting in the Design of Fuzzy Rule-Based Regression Models. IEEE Trans. Knowl. Data Eng. 36(11): 5621-5632 (2024) - [c5]Dayu Hu, Suyuan Liu, Jun Wang, Junpu Zhang, Siwei Wang, Xingchen Hu, Xinzhong Zhu, Chang Tang, Xinwang Liu:
Reliable Attribute-missing Multi-view Clustering with Instance-level and feature-level Cooperative Imputation. ACM Multimedia 2024: 1456-1466 - [i1]Jiyuan Liu, Xinwang Liu, Siqi Wang, Xingchen Hu, Qing Liao, Xinhang Wan, Yi Zhang, Xin Lv, Kunlun He:
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data. CoRR abs/2409.04111 (2024) - 2023
- [j20]Yan Li, Xingchen Hu, Witold Pedrycz, Fangjie Yang, Zhong Liu:
Multivariable fuzzy rule-based models and their granular generalization: A visual interpretable framework. Appl. Soft Comput. 134: 109958 (2023) - [j19]Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinghua Shen, Yan Li, Siwei Wang:
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules. IEEE Trans. Knowl. Data Eng. 35(11): 11642-11655 (2023) - 2022
- [j18]Xingchen Hu, Yinghua Shen, Witold Pedrycz, Xianmin Wang, Adam Gacek, Bingsheng Liu:
Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy Clustering. IEEE Trans. Cybern. 52(7): 6406-6419 (2022) - [j17]Xingchen Hu, Yinghua Shen, Witold Pedrycz, Yan Li, Guohua Wu:
Granular Fuzzy Rule-Based Modeling With Incomplete Data Representation. IEEE Trans. Cybern. 52(7): 6420-6433 (2022) - 2021
- [j16]Haoran Wang, Wentao Li, Tao Zhan, Kehua Yuan, Xingchen Hu:
Multi-granulation-based optimal scale selection in multi-scale information systems. Comput. Electr. Eng. 92: 107107 (2021) - [j15]Yan Li, Chao Chen, Xingchen Hu, Jindong Qin, Yang Ma:
Fuzzy Rule-Based Models: A Design with Prototype Relocation and Granular Generalization. Inf. Sci. 562: 155-179 (2021) - [j14]Xingchen Hu, Witold Pedrycz, Keyu Wu, Yinghua Shen:
Information granule-based classifier: A development of granular imputation of missing data. Knowl. Based Syst. 214: 106737 (2021) - 2020
- [j13]Guangyin Jin, Qi Wang, Cunchao Zhu, Yanghe Feng, Jincai Huang, Xingchen Hu:
Urban Fire Situation Forecasting: Deep sequence learning with spatio-temporal dynamics. Appl. Soft Comput. 97(Part B): 106730 (2020) - [j12]Guohua Wu, Wuxuan Peng, Xingchen Hu, Rui Wang, Huangke Chen:
Configuring differential evolution adaptively via path search in a directed acyclic graph for data clustering. Swarm Evol. Comput. 55: 100690 (2020)
2010 – 2019
- 2019
- [j11]Chao Chen, Boliang Sun, Xingchen Hu, Yan Li:
Online Semi-Supervised Learning With Multiple Regularization Terms. IEEE Access 7: 68479-68494 (2019) - [j10]Xingchen Hu, Witold Pedrycz, Dianhui Wang:
Fuzzy rule-based models with randomized development mechanisms. Fuzzy Sets Syst. 361: 71-87 (2019) - [j9]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Random ensemble of fuzzy rule-based models. Knowl. Based Syst. 181 (2019) - [c4]Xingchen Hu, Huangke Chen, Chao Chen, Boliang Sun, Jincai Huang, Kuihua Huang:
Allocation of Information Granularity: A Multi-Objective Evolutionary Optimization Using Conflict Information. FUZZ-IEEE 2019: 1-6 - [c3]Yinghua Shen, Witold Pedrycz, Ronei Marcos de Moraes, Xingchen Hu, Xianmin Wang, Adam Gacek:
Clustering of Information Granules in Hotspot Identification. FUZZ-IEEE 2019: 1-6 - [c2]Keyu Wu, Zhou Zhang, Xingchen Hu, Boliang Sun, Chao Chen:
Vulnerability Analysis of Wireless Sensor Networks via Maximum Flow Interdiction. IoTaaS 2019: 310-317 - [c1]Boliang Sun, Yan Li, Xingchen Hu, Guangquan Cheng, Chao Chen, Zhong Liu:
Incremental Learning for Transductive SVMs. ISKE 2019: 622-629 - 2018
- [j8]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Fuzzy classifiers with information granules in feature space and logic-based computing. Pattern Recognit. 80: 156-167 (2018) - 2017
- [j7]Xingchen Hu, Witold Pedrycz, Guohua Wu, Xianmin Wang:
Data reconstruction with information granules: An augmented method of fuzzy clustering. Appl. Soft Comput. 55: 523-532 (2017) - [j6]Xingchen Hu, Witold Pedrycz, Oscar Castillo, Patricia Melin:
Fuzzy rule-based models with interactive rules and their granular generalization. Fuzzy Sets Syst. 307: 1-28 (2017) - [j5]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
From fuzzy rule-based models to their granular generalizations. Knowl. Based Syst. 124: 133-143 (2017) - [j4]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Development of granular models through the design of a granular output spaces. Knowl. Based Syst. 134: 159-171 (2017) - [j3]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Granular Fuzzy Rule-Based Models: A Study in a Comprehensive Evaluation and Construction of Fuzzy Models. IEEE Trans. Fuzzy Syst. 25(5): 1342-1355 (2017) - 2016
- [j2]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Optimal allocation of information granularity in system modeling through the maximization of information specificity: A development of granular input space. Appl. Soft Comput. 42: 410-422 (2016) - 2015
- [j1]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Comparative analysis of logic operators: A perspective of statistical testing and granular computing. Int. J. Approx. Reason. 66: 73-90 (2015)
Coauthor Index
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