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t-PSI: Efficient Multi-party Private Set Intersection with Threshold.

D. Meng, Z. Fu, C. Kong, Y. Qi, и G. Cao. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, стр. 8-15. IEEE, (2022)

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Meng Meng

Meng Meng Liang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Winfried Meng

Weiyan Meng

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Validation and Comparison of Seven Land Surface Evapotranspiration Products in the Haihe River Basin, China.X. Guo, D. Meng, X. Chen, и X. Li. Remote. Sens., 14 (17): 4308 (2022)Attack detection based on machine learning algorithms for different variants of Spectre attacks and different Meltdown attack implementations.Z. Tong, Z. Zhu, Y. Zhang, Y. Liu, и D. Meng. CoRR, (2022)Coreference Resolution with Syntax and Semantics.Z. Ma, D. Meng, C. Kong, L. Zhou, M. Li, и W. Tao. WISA, том 13579 из Lecture Notes in Computer Science, стр. 181-193. Springer, (2022)Towards Heap-Based Memory Corruption Discovery.W. Wang, M. Fan, A. Yu, и D. Meng. MSN, стр. 502-511. IEEE, (2021)DeepHunter: A Graph Neural Network Based Approach for Robust Cyber Threat Hunting.R. Wei, L. Cai, L. Zhao, A. Yu, и D. Meng. SecureComm (1), том 398 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 3-24. Springer, (2021)AttackMiner: A Graph Neural Network Based Approach for Attack Detection from Audit Logs.Y. Pan, L. Cai, T. Leng, L. Zhao, J. Ma, A. Yu, и D. Meng. SecureComm, том 462 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 510-528. Springer, (2022)Distributed Randomized Sketching Kernel Learning.R. Yin, Y. Liu, и D. Meng. AAAI, стр. 8883-8891. AAAI Press, (2022)Determine the Hardware Choice to Improve HDFS Performance Deployed in a Commodity Cluster.Y. Wang, G. Fu, W. Wang, X. Liu, C. Ma, и D. Meng. CSE, стр. 1295-1302. IEEE Computer Society, (2013)An Interactive Intelligent Search Engine Model Research Based on User Information Preference.D. Meng, и X. Huang. JCIS, Atlantis Press, (2006)MAMS: A Highly Reliable Policy for Metadata Service.J. Zhou, Y. Chen, W. Wang, и D. Meng. ICPP, стр. 729-738. IEEE Computer Society, (2015)

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