Jiaxu Cui

According to our database, Jiaxu Cui authored at least 25 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations.

Bing Wang, Ximing Li, Yiming Wang, Changchun Li, Jiaxu Cui, Renchu Guan, Bo Yang

CoRR, August, 2025

Symbolic Foundation Regressor on Complex Networks.

Weiting Liu, Jiaxu Cui, Jiao Hu, En Wang, Bo Yang

CoRR, May, 2025

scSiameseClu: A Siamese Clustering Framework for Interpreting single-cell RNA Sequencing Data.

Ping Xu, Zhiyuan Ning, Pengjiang Li, Wenhao Liu, Pengyang Wang, Jiaxu Cui, Yuanchun Zhou, Pengfei Wang

CoRR, May, 2025

2024

Effective Fault Scenario Identification for Communication Networks via Knowledge-Enhanced Graph Neural Networks.

Haihong Zhao, Bo Yang, Jiaxu Cui, Qianli Xing, Jiaxing Shen, Fujin Zhu, Jiannong Cao

IEEE Trans. Mob. Comput., April, 2024

Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems.

Hao Peng, Jia Wu, Jiaxu Cui, Philip S. Yu

Int. J. Mach. Learn. Cybern., January, 2024

Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression.

Jiao Hu, Jiaxu Cui, Bo Yang

CoRR, 2024

Learning continuous network emerging dynamics from scarce observations via data-adaptive stochastic processes.

Jiaxu Cui, Qipeng Wang, Bingyi Sun, Jiming Liu, Bo Yang

Sci. China Inf. Sci., 2024

Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments.

Jiaqi Liu, Jiaxu Cui, Jiayi Yang, Bo Yang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Social activity matching with graph neural network in event-based social networks.

Bingyi Sun, Xiaohui Wei, Jiaxu Cui, Yan Wu

Int. J. Mach. Learn. Cybern., June, 2023

BO-Aug: learning data augmentation policies via Bayesian optimization.

Chunxu Zhang, Ximing Li, Zijian Zhang, Jiaxu Cui, Bo Yang

Appl. Intell., April, 2023

Location-and-Preference Joint Prediction for Task Assignment in Spatial Crowdsourcing.

Xiaohui Wei, Bingyi Sun, Jiaxu Cui, Meikang Qiu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2023

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

Jiaxu Cui, Bingyi Sun, Jiming Liu, Bo Yang

CoRR, 2023

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

Renhai Feng, Jiaxu Cui

IEEE Access, 2023

A Novel Task Assignment Adjustment Method in Spatial-Temporal Crowdsourcing.

Bingyi Sun, Jiaxu Cui, Hongtao Bai, Yonggang Zhang

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2023

2022

Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs.

Jiaxu Cui, Bo Yang, Bingyi Sun, Xia Hu, Jiming Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

Laser Vision Fusion Based on Unscented Kalman Filtering for Pose Estimation of Indoor Mobile Robot.

Wei Zhou, Jiaxu Cui, Hanlin Li, Qiyang Zuo, Juntai Zhang, Kai He

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

A Dual-system Method for Intelligent Fault Localization in Communication Networks.

Jinglong Ji, Fujin Zhu, Jiaxu Cui, Haihong Zhao, Bo Yang

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.

Jiaxu Cui, Qi Tan, Chunxu Zhang, Bo Yang

Expert Syst. Appl., 2021

Cost-aware Graph Generation: A Deep Bayesian Optimization Approach.

Jiaxu Cui, Bo Yang, Bingyi Sun, Jiming Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Task Replica Assignment in Mobile Self-Organized Crowdsensing.

Xiaohui Wei, Bingyi Sun, Jiaxu Cui

Int. J. Perform. Eng., 2020

2019

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

Chunxu Zhang, Jiaxu Cui, Bo Yang

CoRR, 2019

Deep Neural Architecture Search with Deep Graph Bayesian Optimization.

Lizheng Ma, Jiaxu Cui, Bo Yang

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Deep Bayesian Optimization on Attributed Graphs.

Jiaxu Cui, Bo Yang, Xia Hu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Graph Bayesian Optimization: Algorithms, Evaluations and Applications.

Jiaxu Cui, Bo Yang

CoRR, 2018

The New Adaptive ETLBO Algorithms with K-Armed Bandit Model.

Xitong Wang, Yonggang Zhang, Jiaxu Cui

Proceedings of the Knowledge Science, Engineering and Management, 2018