The New Adaptive ETLBO Algorithms with K-Armed Bandit Model. - Xitong Wang; Yonggang Zhang; Jiaxu Cui (KSEM (2), 2018)

Graph Bayesian Optimization: Algorithms, Evaluations and Applications. - Jiaxu Cui; Bo Yang 002 (CoRR, 2018)

Deep Bayesian Optimization on Attributed Graphs. - Jiaxu Cui; Bo Yang 002; Xia Hu 001 (AAAI, 2019)

Deep Neural Architecture Search with Deep Graph Bayesian Optimization. - Lizheng Ma; Jiaxu Cui; Bo Yang 002 (WI, 2019)

Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks. - Chunxu Zhang; Jiaxu Cui; Bo Yang 002 (CoRR, 2019)

Task Replica Assignment in Mobile Self-Organized Crowdsensing. - Xiaohui Wei; Bingyi Sun; Jiaxu Cui (Int. J. Perform. Eng., 2020)

Cost-aware Graph Generation: A Deep Bayesian Optimization Approach. - Jiaxu Cui; Bo Yang 002; Bingyi Sun; Jiming Liu 001 (AAAI, 2021)

A novel framework of graph Bayesian optimization and its applications to real-world network analysis. - Jiaxu Cui; Qi Tan; Chunxu Zhang; Bo Yang 002 (Expert Syst. Appl., 2021)

A Dual-system Method for Intelligent Fault Localization in Communication Networks. - Jinglong Ji; Fujin Zhu; Jiaxu Cui; Haihong Zhao; Bo Yang 002 (ICC, 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 002 (ROBIO, 2022)

Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs. - Jiaxu Cui; Bo Yang 002; Bingyi Sun; Xia Hu 001; Jiming Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Novel Task Assignment Adjustment Method in Spatial-Temporal Crowdsourcing. - Bingyi Sun; Jiaxu Cui; Hongtao Bai; Yonggang Zhang (MobiQuitous (2), 2023)

AINL: Network Topology Identification of Multiple Communication Modes via Active Intercepting and Node Locating. - Renhai Feng; Jiaxu Cui (IEEE Access, 2023)

Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes. - Jiaxu Cui; Bingyi Sun; Jiming Liu 001; Bo Yang 002 (CoRR, 2023)

Location-and-Preference Joint Prediction for Task Assignment in Spatial Crowdsourcing. - Xiaohui Wei 002; Bingyi Sun; Jiaxu Cui; Meikang Qiu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

BO-Aug: learning data augmentation policies via Bayesian optimization. - Chunxu Zhang; Ximing Li; Zijian Zhang 009; Jiaxu Cui; Bo Yang 002 (Appl. Intell., 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., 2023)

Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments. - Jiaqi Liu; Jiaxu Cui; Jiayi Yang; Bo Yang 002 (IJCAI, 2024)

Learning continuous network emerging dynamics from scarce observations via data-adaptive stochastic processes. - Jiaxu Cui; Qipeng Wang; Bingyi Sun; Jiming Liu 001; Bo Yang 002 (Sci. China Inf. Sci., 2024)

Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression. - Jiao Hu; Jiaxu Cui; Bo Yang 002 (CoRR, 2024)

Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems. - Hao Peng 001; Jia Wu 001; Jiaxu Cui; Philip S. Yu (Int. J. Mach. Learn. Cybern., 2024)

Effective Fault Scenario Identification for Communication Networks via Knowledge-Enhanced Graph Neural Networks. - Haihong Zhao; Bo Yang 002; Jiaxu Cui; Qianli Xing 002; Jiaxing Shen; Fujin Zhu; Jiannong Cao 001 (IEEE Trans. Mob. Comput., 2024)

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 008 (CoRR, 2025)

Symbolic Foundation Regressor on Complex Networks. - Weiting Liu; Jiaxu Cui; Jiao Hu; En Wang; Bo Yang 002 (CoRR, 2025)

Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations. - Bing Wang 018; Ximing Li 002; Yiming Wang; Changchun Li; Jiaxu Cui; Renchu Guan; Bo Yang (CoRR, 2025)