Three-dimensional digital process typesetting and printing system based on DELMIA. - Xianguang Kong; Yuanying Qiu (EMEIT, 2011)

A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN. - Jiantao Chang; Yuanying Qiu; Xianguang Kong (J. Appl. Math., 2013)

Rapid integrated parametric CAE modeling method of Linear Variable Differential Transformer based on a script template. - Xianguang Kong; Shing I. Chang; Lei Yin; Fulei Zhong (Adv. Eng. Softw., 2015)

Prediction of Axis Attitude Deviation and Deviation Correction Method Based on Data Driven During Shield Tunneling. - Pei Wang; Xianguang Kong; Zekun Guo; Lei Hu (IEEE Access, 2019)

Evolving feedforward artificial neural networks using a two-stage approach. - Li Zhang 051; Hong Li 007; Xianguang Kong (Neurocomputing, 2019)

Retrospective analysis for phase I statistical process control and process capability study using revised sample entropy. - Shing I. Chang; Zheng Zhang; Siim Koppel; Behnam Malmir; Xianguang Kong; Tzong-Ru Tsai; Donghai Wang (Neural Comput. Appl., 2019)

A High Generalizable Feature Extraction Method Using Ensemble Learning and Deep Auto-Encoders for Operational Reliability Assessment of Bearings. - Xianguang Kong; Yang Fu; Qibin Wang; Hongbo Ma; Xiaodong Wu; Gang Mao (Neural Process. Lett., 2020)

CBAM-DCE: A Non-Reference Image Correction Algorithm for Uneven Illumination. - Mengyu Fan; Jin Lu; Xianguang Kong; Wei Sun; Wei Sun; Yijun Sun (AIPR, 2022)

A bearing fault diagnosis method without fault data in new working condition combined dynamic model with deep learning. - Kun Xu; Xianguang Kong; Qibin Wang; Shengkang Yang; Naining Huang; Junji Wang (Adv. Eng. Informatics, 2022)

Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions. - Shengkang Yang; Xianguang Kong; Qibin Wang; Zhongquan Li; Han Cheng; Kun Xu (Knowl. Based Syst., 2022)

The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data. - Han Cheng; Xianguang Kong; Qibin Wang; Hongbo Ma; Shengkang Yang (Reliab. Eng. Syst. Saf., 2022)

Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions. - Han Cheng; Xianguang Kong; Qibin Wang; Hongbo Ma; Shengkang Yang; Gaige Chen (J. Intell. Manuf., 2023)

Adaptive multispace adjustable sparse filtering: A sparse feature learning method for intelligent fault diagnosis of rotating machinery. - Guowei Zhang; Xianguang Kong; Jingli Du; Jinrui Wang; Shengkang Yang; Hongbo Ma (Eng. Appl. Artif. Intell., 2023)

Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data. - Han Cheng; Xianguang Kong; Qibin Wang; Hongbo Ma; Shengkang Yang; Kun Xu (Reliab. Eng. Syst. Saf., 2023)

Intelligent fault diagnosis of bearings under small samples: A mechanism-data fusion approach. - Kun Xu; Xianguang Kong; Qibin Wang; Bing Han; Liqiang Sun (Eng. Appl. Artif. Intell., 2023)

Communication-Efficient and Privacy-Preserving Aggregation in Federated Learning With Adaptability. - Xuehua Sun; Zengsen Yuan; Xianguang Kong; Liang Xue; Lang He; Ying Lin (IEEE Internet Things J., 2024)

Multi-source partial domain adaptation method based on pseudo-balanced target domain for fault diagnosis. - Guowei Zhang; Xianguang Kong; Qibin Wang; Jingli Du; Kun Xu; Jinrui Wang; Hongbo Ma (Knowl. Based Syst., 2024)

Causality-inspired multi-source domain generalization method for intelligent fault diagnosis under unknown operating conditions. - Hongbo Ma; Jiacheng Wei; Guowei Zhang; Xianguang Kong; Jingli Du (Reliab. Eng. Syst. Saf., 2024)

Single domain generalization method based on anti-causal learning for rotating machinery fault diagnosis. - Guowei Zhang; Xianguang Kong; Qibin Wang; Jingli Du; Jinrui Wang; Hongbo Ma (Reliab. Eng. Syst. Saf., 2024)

A domain adaptation method for bearing fault diagnosis using multiple incomplete source data. - Qibin Wang; Yuanbing Xu; Shengkang Yang; Jiantao Chang; Jingang Zhang; Xianguang Kong (J. Intell. Manuf., 2024)

Quality-efficiency coupling prediction and monitoring-based process optimization of thin plate parts with multi-machining feature. - Pei Wang; Fanhui Bu; Xianguang Kong; Jiantao Chang; Yixin Cui; Anji Zhang (Int. J. Comput. Integr. Manuf., 2024)

An industrial dataspace for automotive supply chain: Secure data sharing based on data association relationship. - Yuqiao Liao; Xianguang Kong; Lei Yin; Yunpeng Gao; Xinghua Dong (J. Ind. Inf. Integr., 2025)

Multi-level cross-knowledge fusion with edge guidance for camouflaged object detection. - Wei Sun 036; Qianzhou Wang; Yulong Tian; Xiaobao Yang; Xianguang Kong; Yizhuo Dong; Yanning Zhang 001 (Knowl. Based Syst., 2025)

Heterogeneous Federated Learning: Client-Side Collaborative Update Interdomain Generalization Method for Intelligent Fault Diagnosis. - Hongbo Ma; Jiacheng Wei; Guowei Zhang; Qibin Wang; Xianguang Kong; Jingli Du (IEEE Internet Things J., 2025)

Federated Domain Generalization for Fault Diagnosis: Cross-Client Style Integration and Dual Alignment Representation. - Yu Wang; Guowei Zhang; Xianguang Kong; Jingli Du; Hongbo Ma (IEEE Internet Things J., 2025)