Qingkai Sui

According to our database, Qingkai Sui authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Which Data Harms My Regression Model: Enhancing Model Performance on Low-Quality Data Through Fast Data Attribution.

Qingkai Sui, Yalin Wang, Chenliang Liu, Diju Liu, Xiaofang Chen, Yongfang Xie

IEEE Trans. Knowl. Data Eng., May, 2026

2025

Attribution-Aided Nonlinear Granger Causality Discovery Method and Its Industrial Application.

Qingkai Sui, Yalin Wang, Chenliang Liu, Kai Wang, Bei Sun

IEEE Trans. Ind. Informatics, August, 2025

Data-Driven Two-Stage Robust Optimization Allocation and Loading for Salt Lake Chemical Enterprise Products Under Demand Uncertainty.

Yiyin Tang, Yalin Wang, Chenliang Liu, Qingkai Sui, Yishun Liu, Keke Huang, Weihua Gui

IEEE CAA J. Autom. Sinica, May, 2025

Koopman-Constrained Hierarchical Deep State Space Model for Industrial Quality Prediction via Cloud-Edge Collaborative Framework.

Qingkai Sui, Yalin Wang, Chenliang Liu, Minghao Han, Chunhua Yang

IEEE Trans. Syst. Man Cybern. Syst., February, 2025

Interpretable Switching Deep Markov Model for Industrial Process Monitoring via Cloud-Edge Collaborative Framework.

Qingkai Sui, Yalin Wang, Chenliang Liu, Keke Huang, Chunhua Yang

IEEE Trans. Instrum. Meas., 2025

Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-Based Input-Output Decoupled Networks.

Zhuofu Pan, Qingkai Sui, Yalin Wang, Jiang Luo, Jie Chen, Hongtian Chen

IEEE Trans. Instrum. Meas., 2025

From Linear to Nonlinear: An Efficient Industrial Data Attribution Method for Regression Models.

Qingkai Sui, Yalin Wang, Yijing Fang, Minghao Han, Chenliang Liu

Proceedings of the 8th IEEE International Conference on Industrial Cyber-Physical Systems, 2025

2024

Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network.

Yalin Wang, Qingkai Sui, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Guangfeng Dong

IEEE Trans. Artif. Intell., January, 2024

Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes.

Yitao Chen, Yalin Wang, Qingkai Sui, Xiaofeng Yuan, Kai Wang, Chenliang Liu

Expert Syst. Appl., 2024

Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network.

Zhuofu Pan, Qingkai Sui, Yalin Wang, Jiang Luo, Jie Chen, Hongtian Chen

CoRR, 2024

2023

Revolutionizing Flotation Process Working Condition Identification Based on Froth Audio.

Yalin Wang, Chenliang Liu, Hansheng Wu, Qingkai Sui, Chunhua Yang, Weihua Gui

IEEE Trans. Instrum. Meas., 2023