Wu, Min

Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST

Long, Y., Ang, K. S., Li, M., Chong, K. L. K., Sethi, R., Zhong, C., Xu, H., Ong, Z., Sachaphibulkij, K., Chen, A., et al. (2023) · Nature Communications

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 700

Time-Series Representation Learning via Temporal and Contextual Contrasting

Eldele, E., Ragab, M., Chen, Z., Wu, M., Kwoh, C. K., Li, X., & Guan, C. (2021) · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Time Series Analysis and ForecastingDomain Adaptation and Few-Shot Learning

Cited by 696

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification

Eldele, E., Ragab, M., Chen, Z., Wu, M., Kwoh, C.-K., Li, X., & Guan, C. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Time Series Analysis and ForecastingDomain Adaptation and Few-Shot Learning

Cited by 224

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data

Wang, Y., Xu, Y., Yang, J., Wu, M., Li, X., Xie, L., & Chen, Z. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingAdvanced Graph Neural Networks

Cited by 134

A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life

Xu, Q., Wu, M., Khoo, E., Chen, Z., & Li, X. (2023) · IEEE/CAA Journal of Automatica Sinica

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 119

Adversarial Multiple-Target Domain Adaptation for Fault Classification

Ragab, M., Chen, Z., Wu, M., Li, H., Kwoh, C.-K., Yan, R., & Li, X. (2021) · IEEE Transactions on Instrumentation and Measurement

Machine Fault Diagnosis TechniquesDomain Adaptation and Few-Shot Learning

Cited by 90

Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction

Wen, Z., Fang, Y., Wei, P., Liu, F., Chen, Z., & Wu, M. (2025) · IEEE Transactions on Neural Networks and Learning Systems

Machine Fault Diagnosis TechniquesReliability and Maintenance Optimization

Cited by 34

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks

Geng, X., Wang, Z., Chen, C., Xu, Q., Xu, K., Jin, C., Gupta, M., Yang, X., Chen, Z., Sabry Aly, M. M., et al. (2025) · IEEE Transactions on Neural Networks and Learning Systems

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 26