DCFICSH: A Dual-Channel Fusion Model Combining Multi-Modal Data for Identifying Cell-Specific Silencers and Their Strength in the Human Genome.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
Multi-Hop and Multi-Path Computation Offloading for Integrated Access and Backhaul Networks Assisted by Multi-relay UAV.
Proceedings of the 6th International Conference on Computing, 2025
An Efficient Dynamic Auto-Regressive CCA for Time Series Imputation With Irregular Sampling.
IEEE Trans Autom. Sci. Eng., January, 2024
Ads Supply Personalization via Doubly Robust Learning.
CoRR, 2024
Ads Supply Personalization via Doubly Robust Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Dynamic Probabilistic Latent Variable Model with Exogenous Variables for Dynamic Anomaly Detection.
Proceedings of the American Control Conference, 2023
Dynamic Probabilistic Predictable Feature Analysis for Multivariate Temporal Process Monitoring.
IEEE Trans. Control. Syst. Technol., 2022
Fault detection and diagnosis with a novel source-aware autoencoder and deep residual neural network.
Neurocomputing, 2022
Improved manifold sparse slow feature analysis for process monitoring.
Comput. Chem. Eng., 2022
A Novel Multi-Mode Bayesian Method for the Process Monitoring and Fault Diagnosis of Coal Mills.
IEEE Access, 2021
Comprehensive Monitoring with Incremental Slow Feature Analysis.
Proceedings of the 2021 American Control Conference, 2021
Latent variable regression for supervised modeling and monitoring.
IEEE CAA J. Autom. Sinica, 2020
Dynamic latent variable regression for inferential sensor modeling and monitoring.
Comput. Chem. Eng., 2020
Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring.
Annu. Rev. Control., 2020
Quality-relevant fault detection of nonlinear processes based on kernel concurrent canonical correlation analysis.
Proceedings of the 2017 American Control Conference, 2017