Xingchen Hu

According to our database, Xingchen Hu authored at least 34 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Coherence mode: Characterizing local graph structural information for temporal knowledge graph.

Yuehang Si, Xingchen Hu, Qing Cheng, Xinwang Liu, Shixuan Liu, Jincai Huang

Inf. Sci., 2025

2024

Application of Gradient Boosting in the Design of Fuzzy Rule-Based Regression Models.

Huimin Zhang, Xingchen Hu, Xiubin Zhu, Xinwang Liu, Witold Pedrycz

IEEE Trans. Knowl. Data Eng., November, 2024

A Design of Fuzzy Rule-Based Classifier for Multiclass Classification and Its Realization in Horizontal Federated Learning.

Xingchen Hu, Xiubin Zhu, Lan Yang, Witold Pedrycz, Zhiwu Li

IEEE Trans. Fuzzy Syst., September, 2024

A Development of Fuzzy-Rule-Based Regression Models Through Using Decision Trees.

Xiubin Zhu, Xingchen Hu, Lan Yang, Witold Pedrycz, Zhiwu Li

IEEE Trans. Fuzzy Syst., May, 2024

An Efficient Federated Multiview Fuzzy C-Means Clustering Method.

Xingchen Hu, Jindong Qin, Yinghua Shen, Witold Pedrycz, Xinwang Liu, Jiyuan Liu

IEEE Trans. Fuzzy Syst., April, 2024

An improved variable neighborhood search algorithm embedded temporal and spatial synchronization for vehicle and drone cooperative routing problem with pre-reconnaissance.

Weichang Sun, Zhihao Luo, Xingchen Hu, Witold Pedrycz, Jianmai Shi

Swarm Evol. Comput., 2024

Discriminative embedded multi-view fuzzy C-means clustering for feature-redundant and incomplete data.

Yan Li, Xingchen Hu, Tuanfei Zhu, Jiyuan Liu, Xinwang Liu, Zhong Liu

Inf. Sci., 2024

Adaptive wideband sensing scheme based on Bayesian experimental design.

Keyu Wu, Xingchen Hu, Hang Du, Kuihua Huang

Evol. Intell., 2024

Active-Passive Federated Learning for Vertically Partitioned Multi-view Data.

Jiyuan Liu, Xinwang Liu, Siqi Wang, Xingchen Hu, Qing Liao, Xinhang Wan, Yi Zhang, Xin Lv, Kunlun He

CoRR, 2024

Reliable Attribute-missing Multi-view Clustering with Instance-level and feature-level Cooperative Imputation.

Dayu Hu, Suyuan Liu, Jun Wang, Junpu Zhang, Siwei Wang, Xingchen Hu, Xinzhong Zhu, Chang Tang, Xinwang Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Multi-View Fuzzy Classification With Subspace Clustering and Information Granules.

Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinghua Shen, Yan Li, Siwei Wang

IEEE Trans. Knowl. Data Eng., November, 2023

Multivariable fuzzy rule-based models and their granular generalization: A visual interpretable framework.

Yan Li, Xingchen Hu, Witold Pedrycz, Fangjie Yang, Zhong Liu

Appl. Soft Comput., February, 2023

2022

Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy Clustering.

Xingchen Hu, Yinghua Shen, Witold Pedrycz, Xianmin Wang, Adam Gacek, Bingsheng Liu

IEEE Trans. Cybern., 2022

Granular Fuzzy Rule-Based Modeling With Incomplete Data Representation.

Xingchen Hu, Yinghua Shen, Witold Pedrycz, Yan Li, Guohua Wu

IEEE Trans. Cybern., 2022

2021

Information granule-based classifier: A development of granular imputation of missing data.

Xingchen Hu, Witold Pedrycz, Keyu Wu, Yinghua Shen

Knowl. Based Syst., 2021

Fuzzy Rule-Based Models: A Design with Prototype Relocation and Granular Generalization.

Yan Li, Chao Chen, Xingchen Hu, Jindong Qin, Yang Ma

Inf. Sci., 2021

Multi-granulation-based optimal scale selection in multi-scale information systems.

Haoran Wang, Wentao Li, Tao Zhan, Kehua Yuan, Xingchen Hu

Comput. Electr. Eng., 2021

2020

Configuring differential evolution adaptively via path search in a directed acyclic graph for data clustering.

Guohua Wu, Wuxuan Peng, Xingchen Hu, Rui Wang, Huangke Chen

Swarm Evol. Comput., 2020

Urban Fire Situation Forecasting: Deep sequence learning with spatio-temporal dynamics.

Guangyin Jin, Qi Wang, Cunchao Zhu, Yanghe Feng, Jincai Huang, Xingchen Hu

Appl. Soft Comput., 2020

2019

Random ensemble of fuzzy rule-based models.

Xingchen Hu, Witold Pedrycz, Xianmin Wang

Knowl. Based Syst., 2019

Fuzzy rule-based models with randomized development mechanisms.

Xingchen Hu, Witold Pedrycz, Dianhui Wang

Fuzzy Sets Syst., 2019

Online Semi-Supervised Learning With Multiple Regularization Terms.

Chao Chen, Boliang Sun, Xingchen Hu, Yan Li

IEEE Access, 2019

Incremental Learning for Transductive SVMs.

Boliang Sun, Yan Li, Xingchen Hu, Guangquan Cheng, Chao Chen, Zhong Liu

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Vulnerability Analysis of Wireless Sensor Networks via Maximum Flow Interdiction.

Keyu Wu, Zhou Zhang, Xingchen Hu, Boliang Sun, Chao Chen

Proceedings of the IoT as a Service - 5th EAI International Conference, 2019

Clustering of Information Granules in Hotspot Identification.

Yinghua Shen, Witold Pedrycz, Ronei Marcos de Moraes, Xingchen Hu, Xianmin Wang, Adam Gacek

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Allocation of Information Granularity: A Multi-Objective Evolutionary Optimization Using Conflict Information.

Xingchen Hu, Huangke Chen, Chao Chen, Boliang Sun, Jincai Huang, Kuihua Huang

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Fuzzy classifiers with information granules in feature space and logic-based computing.

Xingchen Hu, Witold Pedrycz, Xianmin Wang

Pattern Recognit., 2018

2017

Granular Fuzzy Rule-Based Models: A Study in a Comprehensive Evaluation and Construction of Fuzzy Models.

Xingchen Hu, Witold Pedrycz, Xianmin Wang

IEEE Trans. Fuzzy Syst., 2017

Development of granular models through the design of a granular output spaces.

Xingchen Hu, Witold Pedrycz, Xianmin Wang

Knowl. Based Syst., 2017

From fuzzy rule-based models to their granular generalizations.

Xingchen Hu, Witold Pedrycz, Xianmin Wang

Knowl. Based Syst., 2017

Fuzzy rule-based models with interactive rules and their granular generalization.

Xingchen Hu, Witold Pedrycz, Oscar Castillo, Patricia Melin

Fuzzy Sets Syst., 2017

Data reconstruction with information granules: An augmented method of fuzzy clustering.

Xingchen Hu, Witold Pedrycz, Guohua Wu, Xianmin Wang

Appl. Soft Comput., 2017

2016

Optimal allocation of information granularity in system modeling through the maximization of information specificity: A development of granular input space.

Xingchen Hu, Witold Pedrycz, Xianmin Wang

Appl. Soft Comput., 2016

2015

Comparative analysis of logic operators: A perspective of statistical testing and granular computing.

Xingchen Hu, Witold Pedrycz, Xianmin Wang

Int. J. Approx. Reason., 2015