Qingkai Sui

11 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Which Data Harms My Regression Model: Enhancing Model Performance on Low-Quality Data Through Fast Data Attribution.
IEEE Trans. Knowl. Data Eng.
Qingkai Sui, Yalin Wang, Chenliang Liu, Diju Liu, Xiaofang Chen, Yongfang Xie
2025 J jnl
Attribution-Aided Nonlinear Granger Causality Discovery Method and Its Industrial Application.
IEEE Trans. Ind. Informatics
Qingkai Sui, Yalin Wang, Chenliang Liu, Kai Wang, Bei Sun
2025 J jnl
Data-Driven Two-Stage Robust Optimization Allocation and Loading for Salt Lake Chemical Enterprise Products Under Demand Uncertainty.
IEEE CAA J. Autom. Sinica
Yiyin Tang, Yalin Wang, Chenliang Liu, Qingkai Sui, Yishun Liu, Keke Huang, Weihua Gui
2025 — conf
From Linear to Nonlinear: An Efficient Industrial Data Attribution Method for Regression Models.
ICPS
Qingkai Sui, Yalin Wang, Yijing Fang, Minghao Han, Chenliang Liu
2025 J jnl
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-Based Input-Output Decoupled Networks.
IEEE Trans. Instrum. Meas.
Zhuofu Pan, Qingkai Sui, Yalin Wang, Jiang Luo, Jie Chen, Hongtian Chen
2025 J jnl
Interpretable Switching Deep Markov Model for Industrial Process Monitoring via Cloud-Edge Collaborative Framework.
IEEE Trans. Instrum. Meas.
Qingkai Sui, Yalin Wang, Chenliang Liu, Keke Huang, Chunhua Yang
2025 J jnl
Koopman-Constrained Hierarchical Deep State Space Model for Industrial Quality Prediction via Cloud-Edge Collaborative Framework.
IEEE Trans. Syst. Man Cybern. Syst.
Qingkai Sui, Yalin Wang, Chenliang Liu, Minghao Han, Chunhua Yang
2024 J jnl
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network.
CoRR
Zhuofu Pan, Qingkai Sui, Yalin Wang, Jiang Luo, Jie Chen, Hongtian Chen
2024 J jnl
Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network.
IEEE Trans. Artif. Intell.
Yalin Wang, Qingkai Sui, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Guangfeng Dong
2024 J jnl
Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes.
Expert Syst. Appl.
Yitao Chen, Yalin Wang, Qingkai Sui, Xiaofeng Yuan, Kai Wang, Chenliang Liu
2023 J jnl
Revolutionizing Flotation Process Working Condition Identification Based on Froth Audio.
IEEE Trans. Instrum. Meas.
Yalin Wang, Chenliang Liu, Hansheng Wu, Qingkai Sui, Chunhua Yang, Weihua Gui