Jiaxu Cui

Orcid: 0000-0002-4922-0915

According to our database1, Jiaxu Cui authored at least 19 papers between 2018 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Effective Fault Scenario Identification for Communication Networks via Knowledge-Enhanced Graph Neural Networks.
IEEE Trans. Mob. Comput., April, 2024

Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems.
Int. J. Mach. Learn. Cybern., January, 2024

2023
Social activity matching with graph neural network in event-based social networks.
Int. J. Mach. Learn. Cybern., June, 2023

BO-Aug: learning data augmentation policies via Bayesian optimization.
Appl. Intell., April, 2023

Location-and-Preference Joint Prediction for Task Assignment in Spatial Crowdsourcing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2023

Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes.
CoRR, 2023

AINL: Network Topology Identification of Multiple Communication Modes via Active Intercepting and Node Locating.
IEEE Access, 2023

2022
Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs.
IEEE Trans. Neural Networks Learn. Syst., 2022

Laser Vision Fusion Based on Unscented Kalman Filtering for Pose Estimation of Indoor Mobile Robot.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

A Dual-system Method for Intelligent Fault Localization in Communication Networks.
Proceedings of the IEEE International Conference on Communications, 2022

2021
A novel framework of graph Bayesian optimization and its applications to real-world network analysis.
Expert Syst. Appl., 2021

Cost-aware Graph Generation: A Deep Bayesian Optimization Approach.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Task Replica Assignment in Mobile Self-Organized Crowdsensing.
Int. J. Perform. Eng., 2020

2019
Deep Bayesian Optimization on Attributed Graphs.
CoRR, 2019

Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks.
CoRR, 2019

Deep Neural Architecture Search with Deep Graph Bayesian Optimization.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Deep Bayesian Optimization on Attributed Graphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Graph Bayesian Optimization: Algorithms, Evaluations and Applications.
CoRR, 2018

The New Adaptive ETLBO Algorithms with K-Armed Bandit Model.
Proceedings of the Knowledge Science, Engineering and Management, 2018


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