Liangxiong Li

According to our database1, Liangxiong Li authored at least 14 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Enhancing fault localization in microservices systems through span-level using graph convolutional networks.
Autom. Softw. Eng., November, 2024

Trace Anomaly Detection for Microservice Systems via Graph-based Semi-supervised Learning.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
A New Federated Learning Model for Host Intrusion Detection System Under Non-IID Data.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

CDANER: Contrastive Learning with Cross-domain Attention for Few-shot Named Entity Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
OpenLog: Incremental Anomaly Classification with Changing, Unbalanced and Unknown Logs.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Digital Twin Networks: Learning Dynamic Network Behaviors from Network Flows.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

EDP: An eBPF-based Dynamic Perimeter for SDP in Data Center.
Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

2021
A Survey On Log Research Of AIOps: Methods and Trends.
Mob. Networks Appl., 2021

2020
Automatic Virtual Network Embedding: A Deep Reinforcement Learning Approach With Graph Convolutional Networks.
IEEE J. Sel. Areas Commun., 2020

Attention-based bidirectional GRU networks for efficient HTTPS traffic classification.
Inf. Sci., 2020

2019
A New Bitcoin Address Association Method Using a Two-Level Learner Model.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

Automatic Virtual Network Embedding Based on Deep Reinforcement Learning.
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

2016
Insights into the issue in IPv6 adoption: A view from the Chinese IPv6 Application mix.
Concurr. Comput. Pract. Exp., 2016

2011
Network Flow Classification Based on the Rhythm of Packets.
Proceedings of the Neural Information Processing - 18th International Conference, 2011


  Loading...