Enabling Improved Learning Capability of Industrial Robots with Knowledge Graph Towards Intelligent Digital Twins. - Mengxuan Li 003; Hongwei Wang 001 (CSCWD, 2022)

SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples. - Mengxuan Li 003; Peng Peng 006; Jingxin Zhang 008; Hongwei Wang 001; Weiming Shen 001 (CoRR, 2023)

SCLIFD: Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data. - Peng Peng 006; Hanrong Zhang; Mengxuan Li 003; Gongzhuang Peng; Hongwei Wang 001; Weiming Shen 001 (CoRR, 2023)

An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis. - Mengxuan Li 003; Peng Peng 006; Min Wang; Hongwei Wang 001 (CoRR, 2023)

Hard Sample Mining Enabled Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis. - Zixuan Wang; Bo Qin; Mengxuan Li 003; Mark D. Butala; Haibo Wang; Peng Peng 006; Hongwei Wang 001 (CoRR, 2023)

SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples. - Mengxuan Li 003; Peng Peng 006; Jingxin Zhang 002; Hongwei Wang 001; Weiming Shen 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

An Order-Invariant and Interpretable Dilated Convolution Neural Network for Chemical Process Fault Detection and Diagnosis. - Mengxuan Li 003; Peng Peng 006; Haiyue Sun; Min Wang; Hongwei Wang 001 (IEEE Trans Autom. Sci. Eng., 2024)

TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection. - Mengxuan Li 003; Ke Liu 013; Hongyang Chen; Jiajun Bu; Hongwei Wang 001; Haishuai Wang (KDD (1), 2025)

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data. - Mengxuan Li 003; Ke Liu 013; Jialong Guo; Jiajun Bu; Hongwei Wang 001; Haishuai Wang (CoRR, 2025)

Class Incremental Fault Diagnosis Under Limited Fault Data via Supervised Contrastive Knowledge Distillation. - Hanrong Zhang; Yifei Yao; Zixuan Wang; Jiayuan Su; Mengxuan Li 003; Peng Peng 006; Hongwei Wang 001 (IEEE Trans. Ind. Informatics, 2025)