A New Ridgelet Neural Network Training Algorithm Based on Improved Particle Swarm Optimization. - Rijian Su; Li Kong; Shengli Song; Pu Zhang; Kaibo Zhou; Jingjing Cheng (ICNC (3), 2007)

Using Neural Networks for the Foreign Investment Management Decision Support System. - Sihai Guo; Shan Feng; Yong Zhao; Kaibo Zhou (ISNN (1), 2009)

A Mobility Management Solution for Simultaneous Mobility with mSCTP. - Kaibo Zhou; Gang Liu; Yong Yao 001; Adrian Popescu 002 (NTMS, 2011)

An Adaptive Sliding Mode Controller for Synchronized Joint Position Tracking Control of Robot Manipulators. - Youmin Hu; Jie Liu 017; Bo Wu 006; Kaibo Zhou; Ming-Feng Ge (ICINCO (2), 2015)

Fault Diagnosis in Aluminium Electrolysis Using a Joint Method Based on Kernel Principal Component Analysis and Support Vector Machines. - Kaibo Zhou; Gaofeng Xu; Hongting Wang; Sihai Guo (BIC-TA, 2017)

Multi-objective Optimization for Ladle Tracking of Aluminium Tapping Based on NSGA-II. - Kaibo Zhou; Yutao Zou; Hongting Wang; Gaofeng Xu; Sihai Guo (BIC-TA, 2017)

Rotated Feature Network for multi-orientation object detection. - Zhixin Zhang; Xudong Chen; Jie Liu 017; Kaibo Zhou (CoRR, 2019)

An Information Entropy-Based Modeling Method for the Measurement System. - Li Kong; Hao Pan; Xuewei Li; Shuangbao Ma; Qi Xu; Kaibo Zhou (Entropy, 2019)

A Hybrid Multi-Objective Optimization Model for Vibration Tendency Prediction of Hydropower Generators. - Kai-Bo Zhou; Jian-Yu Zhang; Yahui Shan; Ming-Feng Ge; Zi-Yue Ge; Guan-Nan Cao (Sensors, 2019)

A Feature Transferring Fault Diagnosis based on WPDR, FSWT and GoogLeNet. - Guan-Nan Cao; Kaifeng Zhang; Kaibo Zhou; Hao Pan; Yanhe Xu; Jie Liu 017 (I2MTC, 2020)

Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection. - Yong-Nan Zhu; Xiaotian Luo; Yufeng Li 008; Bin Bu; Kaibo Zhou; Wenbin Zhang; Mingfan Lu (ICDM, 2020)

Neural-Adaptive Finite-Time Formation Tracking Control of Multiple Nonholonomic Agents With a Time-Varying Target. - Kai-Bo Zhou; Xiao-Kang Wu; Ming-Feng Ge; Chang-Duo Liang; Bingliang Hu (IEEE Access, 2020)

An Improved TCN-Based Network Combining RLS for Bearings-Only Target Tracking. - Yingqi Zhao; Jie Liu 017; Kaibo Zhou; Qi Xu (ICIRA (2), 2021)

Virtual Service Failure Recovery Algorithm Based on Particle Swarm in IPv6 Networks. - Jianwei Li; Zhibing Zhang; Kaibo Zhou; Dan Luo (ICISCAE (IEEE), 2021)

Rotated Feature Network for Multiorientation Object Detection of Remote-Sensing Images. - Kaibo Zhou; Zhixin Zhang; Changxin Gao; Jie Liu 017 (IEEE Geosci. Remote. Sens. Lett., 2021)

Colon Polyp Detection and Segmentation Based on Improved MRCNN. - Xiaoyong Yang; Qianxing Wei; Changhe Zhang; Kaibo Zhou; Li Kong; Weiwei Jiang (IEEE Trans. Instrum. Meas., 2021)

Automatic Recognition of Communication Signal Modulation Based on the Multiple-Parallel Complex Convolutional Neural Network. - Zhen Huang; Chengkang Li; Qiang Lv; Rijian Su; Kaibo Zhou (Wirel. Commun. Mob. Comput., 2021)

Transferable graph features-driven cross-domain rotating machinery fault diagnosis. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Ming-Feng Ge; Xingxing Jiang (Knowl. Based Syst., 2022)

SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis. - Chaoying Yang; Kaibo Zhou; Jie Liu 017 (IEEE Trans. Ind. Electron., 2022)

Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis. - Kaibo Zhou; Chaoying Yang; Jie Liu 017; Qi Xu (IEEE Trans. Ind. Electron., 2022)

A Node-Level PathGraph-Based Bearing Remaining Useful Life Prediction Method. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xingxing Jiang; Ming-Feng Ge; Yiben Liu (IEEE Trans. Instrum. Meas., 2022)

Source-Free Cluster Adaptation for Privacy-Preserving Machinery Fault Diagnosis. - Mengliang Zhu; Xiangyu Zeng; Jie Liu 017; Chaoying Yang; Kaibo Zhou (IEEE Trans. Instrum. Meas., 2023)

Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data. - Kaibo Zhou; Chaoying Yang; Jie Liu 017; Qi Xu (J. Intell. Manuf., 2023)

A meta-path graph-based graph homogenization framework for machine fault diagnosis. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xiaohui Yuan; Xingxing Jiang (Eng. Appl. Artif. Intell., 2023)

Semisupervised Machine Fault Diagnosis Fusing Unsupervised Graph Contrastive Learning. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xingxing Jiang (IEEE Trans. Ind. Informatics, 2023)

Dynamic spatial-temporal graph-driven machine remaining useful life prediction method using graph data augmentation. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xinyu Li (J. Intell. Manuf., 2024)

A Generalized Graph Contrastive Learning Framework for Few-Shot Machine Fault Diagnosis. - Chaoying Yang; Jie Liu 017; Qi Xu; Kaibo Zhou (IEEE Trans. Ind. Informatics, 2024)

Black-box domain adaptation for cross-domain on-device machinery fault diagnosis via hierarchical debiased self-supervised learning. - Mengliang Zhu; Jie Liu 017; Yanglong Lu; Zhongxu Hu; Li Yuan; Kaibo Zhou (Knowl. Based Syst., 2025)

Joint Power Allocation and Beamforming Design for Active IRS-Aided Secure Directional Modulation Systems. - Yifan Zhao; Xiaoyu Wang; Kaibo Zhou; Xuehui Wang; Yan Wang 027; Wei Gao; Ruiqi Liu; Feng Shu 002 (IEEE Open J. Commun. Soc., 2025)