Lihai Nie

Orcid: 0000-0001-8569-3739

According to our database1, Lihai Nie authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
A Game-Based Adversarial DGA Detection Scheme Using Multi-Level Incremental Random Forest.
IEEE Trans. Netw. Sci. Eng., 2024

2023
Robust website fingerprinting through resource loading sequence.
World Wide Web (WWW), September, 2023

PKDGA: A Partial Knowledge-Based Domain Generation Algorithm for Botnets.
IEEE Trans. Inf. Forensics Secur., 2023

2021
Robust Anomaly Detection Using Reconstructive Adversarial Network.
IEEE Trans. Netw. Serv. Manag., 2021

RLTree: Website Fingerprinting Through Resource Loading Tree.
Proceedings of the Network and System Security - 15th International Conference, 2021

2020
Approximation of Probabilistic Maximal Frequent Itemset Mining Over Uncertain Sensed Data.
IEEE Access, 2020

NetCruiser: Localize Network Failures by Learning from Latency Data.
Proceedings of the 2020 IEEE International Conference on Smart Internet of Things, 2020

XShot: Light-weight Link Failure Localization using Crossed Probing Cycles in SDN.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

Glad: Global And Local Anomaly Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019
Research on improved privacy publishing algorithm based on set cover.
Comput. Sci. Inf. Syst., 2019

Deeplive: QoE Optimization for Live Video Streaming through Deep Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

ElaX: Provisioning Resource Elastically for Containerized Online Cloud Services.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2017
Probabilistic Frequent Itemsets Mining Based on Expectation Bound over Uncertain Database.
Proceedings of the 14th International Symposium on Pervasive Systems, 2017

2016
Discovering probabilistic frequent closed itemsets in uncertain database with tuple uncertainty.
Comput. Syst. Sci. Eng., 2016

Association Rules Discovery via Approximate Method from Probabilistic Database.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016


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