Fusing and mining opinions for reputation generation. - Zheng Yan 002; Xuyang Jing; Witold Pedrycz (Inf. Fusion, 2017)

Security Data Collection and Data Analytics in the Internet: A Survey. - Xuyang Jing; Zheng Yan 002; Witold Pedrycz (IEEE Commun. Surv. Tutorials, 2019)

A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion. - Wenxiu Ding; Xuyang Jing; Zheng Yan 002; Laurence T. Yang (Inf. Fusion, 2019)

Network traffic fusion and analysis against DDoS flooding attacks with a novel reversible sketch. - Xuyang Jing; Zheng Yan 002; Xueqin Liang; Witold Pedrycz (Inf. Fusion, 2019)

A reversible sketch-based method for detecting and mitigating amplification attacks. - Xuyang Jing; Jingjing Zhao; Qinghua Zheng; Zheng Yan 002; Witold Pedrycz (J. Netw. Comput. Appl., 2019)

A survey on machine learning for data fusion. - Tong Meng; Xuyang Jing; Zheng Yan 002; Witold Pedrycz (Inf. Fusion, 2020)

An Adaptive Security Data Collection and Composition Recognition method for security measurement over LTE/LTE-A networks. - Yulong Fu; Hanlu Chen; Qinghua Zheng; Zheng Yan 002; Raimo Kantola; Xuyang Jing; Jin Cao 001; Hui Li 006 (J. Netw. Comput. Appl., 2020)

A Survey on Trust Evaluation Based on Machine Learning. - Jingwen Wang; Xuyang Jing; Zheng Yan 002; Yulong Fu; Witold Pedrycz; Laurence T. Yang (ACM Comput. Surv., 2021)

SeDID: An SGX-enabled decentralized intrusion detection framework for network trust evaluation. - Gao Liu; Zheng Yan 002; Wei Feng 010; Xuyang Jing; Yaxing Chen; Mohammed Atiquzzaman (Inf. Fusion, 2021)

Network traffic classification for data fusion: A survey. - Jingjing Zhao; Xuyang Jing; Zheng Yan 002; Witold Pedrycz (Inf. Fusion, 2021)

Identification of Fuzzy Rule-Based Models With Output Space Knowledge Guidance. - Yinghua Shen; Witold Pedrycz; Xuyang Jing; Adam Gacek; Xianmin Wang; Bingsheng Liu (IEEE Trans. Fuzzy Syst., 2021)

Deceiving Learning-based Sketches to Cause Inaccurate Frequency Estimation. - Xuyang Jing; Xiaojun Cheng; Zheng Yan 002; Xian Li (TrustCom, 2022)

Applications of sketches in network traffic measurement: A survey. - Hui Han; Zheng Yan 002; Xuyang Jing; Witold Pedrycz (Inf. Fusion, 2022)

A Group-Based Distance Learning Method for Semisupervised Fuzzy Clustering. - Xuyang Jing; Zheng Yan 002; Yinghua Shen; Witold Pedrycz; Ji Yang (IEEE Trans. Cybern., 2022)

SuperSketch: A Multi-Dimensional Reversible Data Structure for Super Host Identification. - Xuyang Jing; Hui Han; Zheng Yan 002; Witold Pedrycz (IEEE Trans. Dependable Secur. Comput., 2022)

ExtendedSketch: Fusing Network Traffic for Super Host Identification With a Memory Efficient Sketch. - Xuyang Jing; Zheng Yan 002; Hui Han; Witold Pedrycz (IEEE Trans. Dependable Secur. Comput., 2022)

ExtendedSketch+: Super host identification and network host trust evaluation with memory efficiency and high accuracy. - Hui Han; Xuyang Jing; Zheng Yan 002; Witold Pedrycz (Inf. Fusion, 2023)

ALSketch: An adaptive learning-based sketch for accurate network measurement under dynamic traffic distribution. - Xiaojun Cheng; Xuyang Jing; Zheng Yan 002; Xian Li; Pu Wang 003; Wei Wu (J. Netw. Comput. Appl., 2023)

Granular classifier: Building traffic granules for encrypted traffic classification based on granular computing. - Xuyang Jing; Jingjing Zhao; Zheng Yan 002; Witold Pedrycz; Xian Li (Digit. Commun. Networks, 2024)

TardySketch: A Framework for Cardinality Estimation Adaptable to Sliding Windows. - Xuyang Jing; Qinghua Cao; Chenhao Zhang; Zheng Yan 002; Wenxiu Ding; Witold Pedrycz; Pu Wang 003 (ICDE, 2025)