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Xinhong Lin
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2020 – today
- 2023
- [j6]Zhixia Zeng, Ruohe Huang, Ruliang Xiao, Xinhong Lin, Shi Zhang:
Anomaly detection for high-dimensional dynamic data stream using stacked habituation autoencoder and union kernel density estimator. Concurr. Comput. Pract. Exp. 35(22) (2023) - [j5]Zhixia Zeng, Ruliang Xiao, Xinhong Lin, Tianjian Luo, Jiayin Lin:
Double locality sensitive hashing Bloom filter for high-dimensional streaming anomaly detection. Inf. Process. Manag. 60(3): 103306 (2023) - 2022
- [j4]Shi Zhang, Huixia Lai, Weilin Chen, Lulu Zhang, Xinhong Lin, Ruliang Xiao:
VBLSH: Volume-balancing locality-sensitive hashing algorithm for K-nearest neighbors search. Inf. Sci. 587: 774-793 (2022) - 2021
- [j3]Shi Zhang, Jin Huang, Ruliang Xiao, Xin Du, Ping Gong, Xinhong Lin:
Toward more efficient locality-sensitive hashing via constructing novel hash function cluster. Concurr. Comput. Pract. Exp. 33(20) (2021)
2010 – 2019
- 2019
- [j2]Ruliang Xiao, Jiawei Su, Xin Du, Jianmin Jiang, Xinhong Lin, Li Lin:
SFAD: Toward effective anomaly detection based on session feature similarity. Knowl. Based Syst. 165: 149-156 (2019) - 2018
- [j1]Ruliang Xiao, Runxi Cui, Mingwei Lin, Lifei Chen, Youcong Ni, Xinhong Lin:
SOMDNCD: Image Change Detection Based on Self-Organizing Maps and Deep Neural Networks. IEEE Access 6: 35915-35925 (2018) - [c2]Xiong Chen, Ruliang Xiao, Xin Du, Xinhong Lin, Li Lin:
Constructing A Novel Spark-based Distributed Maximum Frequent Sequence Pattern Mining for IoT Log. ICCNS 2018: 112-116
2000 – 2009
- 2007
- [c1]Tao Jin, Yuchen Fu, Xinhong Lin, Quan Liu, Zhiming Cui:
A Method of Ontology Mapping Based on Instance. IIH-MSP 2007: 145-148
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