A Method of Ontology Mapping Based on Instance. - Tao Jin; Yuchen Fu; Xinhong Lin; Quan Liu 004; Zhiming Cui (IIH-MSP, 2007)

Constructing A Novel Spark-based Distributed Maximum Frequent Sequence Pattern Mining for IoT Log. - Xiong Chen; Ruliang Xiao; Xin Du 003; Xinhong Lin; Li Lin 001 (ICCNS, 2018)

SOMDNCD: Image Change Detection Based on Self-Organizing Maps and Deep Neural Networks. - Ruliang Xiao; Runxi Cui; Mingwei Lin; Lifei Chen; Youcong Ni; Xinhong Lin (IEEE Access, 2018)

SFAD: Toward effective anomaly detection based on session feature similarity. - Ruliang Xiao; Jiawei Su; Xin Du 003; Jianmin Jiang; Xinhong Lin; Li Lin 001 (Knowl. Based Syst., 2019)

Toward more efficient locality-sensitive hashing via constructing novel hash function cluster. - Shi Zhang; Jin Huang; Ruliang Xiao; Xin Du 003; Ping Gong 004; Xinhong Lin (Concurr. Comput. Pract. Exp., 2021)

VBLSH: Volume-balancing locality-sensitive hashing algorithm for K-nearest neighbors search. - Shi Zhang; Huixia Lai; Weilin Chen 003; Lulu Zhang; Xinhong Lin; Ruliang Xiao (Inf. Sci., 2022)

Anomaly detection for high-dimensional dynamic data stream using stacked habituation autoencoder and union kernel density estimator. - Zhixia Zeng; Ruohe Huang; Ruliang Xiao; Xinhong Lin; Shi Zhang (Concurr. Comput. Pract. Exp., 2023)

Double locality sensitive hashing Bloom filter for high-dimensional streaming anomaly detection. - Zhixia Zeng; Ruliang Xiao; Xinhong Lin; Tianjian Luo; Jiayin Lin (Inf. Process. Manag., 2023)