Qinqin Zhu

According to our database, Qinqin Zhu authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Efficient Dynamic Auto-Regressive CCA for Time Series Imputation With Irregular Sampling.

Bo Xu, Qinqin Zhu

IEEE Trans Autom. Sci. Eng., January, 2024

Ads Supply Personalization via Doubly Robust Learning.

Wei Shi, Chen Fu, Qi Xu, Sanjian Chen, Jizhe Zhang, Qinqin Zhu, Zhigang Hua, Shuang Yang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Dynamic Probabilistic Latent Variable Model with Exogenous Variables for Dynamic Anomaly Detection.

Bo Xu, Qinqin Zhu

Proceedings of the American Control Conference, 2023

2022

Dynamic Probabilistic Predictable Feature Analysis for Multivariate Temporal Process Monitoring.

Wei Fan, Qinqin Zhu, Shaojun Ren, Liang Zhang, Fengqi Si

IEEE Trans. Control. Syst. Technol., 2022

Fault detection and diagnosis with a novel source-aware autoencoder and deep residual neural network.

Nima Amini, Qinqin Zhu

Neurocomputing, 2022

Improved manifold sparse slow feature analysis for process monitoring.

Hussein Saafan, Qinqin Zhu

Comput. Chem. Eng., 2022

2021

A Novel Multi-Mode Bayesian Method for the Process Monitoring and Fault Diagnosis of Coal Mills.

Wei Fan, Shaojun Ren, Qinqin Zhu, Zhijun Jia, Delong Bai, Fengqi Si

IEEE Access, 2021

Comprehensive Monitoring with Incremental Slow Feature Analysis.

Hussein Saafan, Qinqin Zhu

Proceedings of the 2021 American Control Conference, 2021

2020

Latent variable regression for supervised modeling and monitoring.

Qinqin Zhu

IEEE CAA J. Autom. Sinica, 2020

Dynamic latent variable regression for inferential sensor modeling and monitoring.

Qinqin Zhu, Si-Zhao Joe Qin, Yining Dong

Comput. Chem. Eng., 2020

Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring.

Si-Zhao Joe Qin, Yining Dong, Qinqin Zhu, Jin Wang, Qiang Liu

Annu. Rev. Control., 2020

2017

Quality-relevant fault detection of nonlinear processes based on kernel concurrent canonical correlation analysis.

Qinqin Zhu, Qiang Liu, Si-Zhao Joe Qin

Proceedings of the 2017 American Control Conference, 2017