Mengxuan Li

15 papers A* 1C 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CSTSINR: improving temporal continuity via convolutional structured implicit neural representations for time series anomaly detection. Neural Networks Ke Liu, Mengxuan Li, Jiajun Bu, Hongwei Wang, Haishuai Wang
2025	J	`jnl`	Class Incremental Fault Diagnosis Under Limited Fault Data via Supervised Contrastive Knowledge Distillation. IEEE Trans. Ind. Informatics Hanrong Zhang, Yifei Yao, Zixuan Wang, Jiayuan Su, Mengxuan Li, Peng Peng, Hongwei Wang
2025	J	`jnl`	Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation. CoRR Hanrong Zhang, Yifei Yao, Zixuan Wang, Jiayuan Su, Mengxuan Li, Peng Peng, Hongwei Wang
2025	A*	`conf`	ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data. IJCAI Mengxuan Li, Ke Liu, Jialong Guo, Jiajun Bu, Hongwei Wang, Haishuai Wang
2025	J	`jnl`	ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data. CoRR Mengxuan Li, Ke Liu, Jialong Guo, Jiajun Bu, Hongwei Wang, Haishuai Wang
2025	—	`conf`	M-TSINR: Multiscale Implicit Neural Representations via Mamba Encoder for Time Series Anomaly Detection. ICKG Ke Liu, Mengxuan Li, Qianqian Shen, Yang Gao, Haishuai Wang
2025	—	`conf`	TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection. KDD (1) Mengxuan Li, Ke Liu, Hongyang Chen, Jiajun Bu, Hongwei Wang, Haishuai Wang
2024	J	`jnl`	An Order-Invariant and Interpretable Dilated Convolution Neural Network for Chemical Process Fault Detection and Diagnosis. IEEE Trans Autom. Sci. Eng. Mengxuan Li, Peng Peng, Haiyue Sun, Min Wang, Hongwei Wang
2024	J	`jnl`	SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples. IEEE Trans. Neural Networks Learn. Syst. Mengxuan Li, Peng Peng, Jingxin Zhang, Hongwei Wang, Weiming Shen
2024	J	`jnl`	TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection. CoRR Mengxuan Li, Ke Liu, Hongyang Chen, Jiajun Bu, Hongwei Wang, Haishuai Wang
2023	J	`jnl`	An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis. CoRR Mengxuan Li, Peng Peng, Min Wang, Hongwei Wang
2023	J	`jnl`	Hard Sample Mining Enabled Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis. CoRR Zixuan Wang, Bo Qin, Mengxuan Li, Mark D. Butala, Haibo Wang, Peng Peng, Hongwei Wang
2023	J	`jnl`	SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples. CoRR Mengxuan Li, Peng Peng, Jingxin Zhang, Hongwei Wang, Weiming Shen
2023	J	`jnl`	SCLIFD: Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data. CoRR Peng Peng, Hanrong Zhang, Mengxuan Li, Gongzhuang Peng, Hongwei Wang, Weiming Shen
2022	C	`conf`	Enabling Improved Learning Capability of Industrial Robots with Knowledge Graph Towards Intelligent Digital Twins. CSCWD Mengxuan Li, Hongwei Wang