An XML-Based Bootstrapping Method for Pattern Acquisition. - Xingjie Zeng; Fang Li 001; Dongmo Zhang; Athena Vakali (ICEIS (2), 2004)

Model Fusion Based Oilfield Production Prediction. - Xingjie Zeng; Weishan Zhang; Long Xu; Xinzhe Wang; Jiangru Yuan; Jiehan Zhou (ICDS, 2019)

A Federated Parallel Data Platform for Trustworthy AI. - Leiming Chen; Weishan Zhang; Liang Xu 009; Xingjie Zeng; Qinghua Lu 001; Hongwei Zhao; Bingyang Chen; Xiao Wang 002 (DTPI, 2021)

Federated Learning for Cross-block Oil-water Layer Identification. - Bingyang Chena; Xingjie Zeng; Weishan Zhang (CoRR, 2021)

Feature-context driven Federated Meta-Learning for Rare Disease Prediction. - Bingyang Chen; Tao Chen 023; Xingjie Zeng; Weishan Zhang; Qinghua Lu 001; Zhaoxiang Hou; Jiehan Zhou; Sumi Helal (CoRR, 2021)

DTCN: Dynamic Temporal Convolution Network for Evaluating Dividing Coefficients of Water Well. - Zhicheng Bao; Xingjie Zeng; Zhitao Li; Dakuang Han; Weishan Zhang (CSCWD, 2022)

Homophily Learning-Based Federated Intelligence: A Case Study on Industrial IoT Equipment Failure Prediction. - Xingjie Zeng; Zepei Yu; Weishan Zhang; Xiao Wang 002; Qinghua Lu 001; Tao Wang 172; Mu Gu; Yonglin Tian; Fei-Yue Wang 001 (IEEE Internet Things J., 2023)

Software Architecture for Responsible Artificial Intelligence Systems: Practice in the Digitization of Industrial Drawings. - Zhicheng Bao; Weishan Zhang; Xingjie Zeng; Hongwei Zhao; Cihao Dong; Yuming Nie; Yuru Liu; Yuange Liu; Junzhong Wu (Computer, 2023)

Value-aware meta-transfer learning and convolutional mask attention networks for reservoir identification with limited data. - Bingyang Chen; Xingjie Zeng; Jiehan Zhou; Weishan Zhang; Shaohua Cao; Baoyu Zhang (Expert Syst. Appl., 2023)

R$^{2}$Fed: Resilient Reinforcement Federated Learning for Industrial Applications. - Weishan Zhang; Fa Yu; Xiao Wang 002; Xingjie Zeng; Hongwei Zhao; Yonglin Tian; Fei-Yue Wang 001; Longfei Li; Zengxiang Li (IEEE Trans. Ind. Informatics, 2023)

Feature-Contrastive Graph Federated Learning: Responsible AI in Graph Information Analysis. - Xingjie Zeng; Tao Zhou; Zhicheng Bao; Hongwei Zhao; Leiming Chen; Xiao Wang 002; Feiyue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2023)

FedTKD: A Trustworthy Heterogeneous Federated Learning Based on Adaptive Knowledge Distillation. - Leiming Chen; Weishan Zhang; Cihao Dong; Dehai Zhao; Xingjie Zeng; Sibo Qiao; Yichang Zhu; Chee-Wei Tan 001 (Entropy, 2024)

Dynamic Circular Network-Based Federated Dual-View Learning for Multivariate Time Series Anomaly Detection. - Weishan Zhang; Yuqian Wang; Leiming Chen; Yong Yuan; Xingjie Zeng; Liang Xu 009; Hongwei Zhao (Bus. Inf. Syst. Eng., 2024)

Knowledge-enhanced meta-transfer learning for few-shot ECG signal classification. - Lulu Fan; Bingyang Chen; Xingjie Zeng; Jiehan Zhou; Xin Zhang (Expert Syst. Appl., 2025)

Health management of power batteries in low temperatures based on Adaptive Transfer Enformer framework. - Bingyang Chen; Xingjie Zeng; Chao Liu; Yafei Xu; Heling Cao (Reliab. Eng. Syst. Saf., 2025)

A Credible and Fair Federated Learning Framework Based on Blockchain. - Leiming Chen; Dehai Zhao; Liping Tao; Kai Wang 063; Sibo Qiao; Xingjie Zeng; Chee Wei Tan 001 (IEEE Trans. Artif. Intell., 2025)

A Contribution-Aware Federated Framework for Electric Vehicle Batteries Health Estimation. - Bingyang Chen; Lulu Fan; Xingjie Zeng; Mu Gu; Jiehan Zhou (IEEE Internet Things J., 2025)