Chenliang Liu

49 papers C 3Journal 40Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
An evolutionary multitasking algorithm with high-similarity and equal-constraint auxiliary task for constrained multi-objective optimization and its applications.
Expert Syst. Appl.
Xujie Tan, Yalin Wang, Chenliang Liu, Jing Liao, Guohua Wu
2026 J jnl
Decoupling time and space: An adaptive shared graph convolutional network for dynamic market price forecasting.
Neural Networks
Yalin Wang, Guodong Li, Chenliang Liu, Jiang Luo, Yishun Liu, Weihua Gui
2026 J jnl
Move towards agile feedback: An adaptive Turing-enhanced multi-objective co-evolutionary algorithm for rescheduling optimization steelmaking-continuous casting under equipment failures.
Swarm Evol. Comput.
Lin Guan, Yalin Wang, Chenliang Liu, Xujie Tan, Yujie Zhang
2026 J jnl
Reinforcement Learning for Control with Probabilistic Stability Guarantee: A Finite-Sample Approach.
CoRR
Minghao Han, Lixian Zhang, Chenliang Liu, Zhipeng Zhou, Jun Wang, Wei Pan
2026 J jnl
Reinforcement learning for control with probabilistic stability guarantee: A finite-sample approach.
Autom.
Minghao Han, Lixian Zhang, Chenliang Liu, Zhipeng Zhou, Jun Wang, Wei Pan
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
Adaptive information fusion-driven evolutionary algorithm via balancing the information from unconstrained and constrained pareto fronts.
Swarm Evol. Comput.
Xujie Tan, Yalin Wang, Chenliang Liu, Jing Liao, Yong Wang, Weihua Gui
2025 — conf
An Evolutionary Algorithm with Adaptive Global-Local Diversity for Data-Driven Optimization and Its Industrial Application.
ICPS
Xujie Tan, Yalin Wang, Jing Liao, Guohua Wu, Qizhang Luo, Chenliang Liu
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
Corrections to "Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes".
IEEE Trans. Ind. Informatics
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
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 J jnl
Data-driven optimization strategy of raw material procurement under uncertainties of price fluctuations and production demand in industrial enterprises.
Comput. Ind. Eng.
Jiang Luo, Yalin Wang, Chenliang Liu, Guohua Wu, 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
From separation to fusion: Screening-assisted bilevel collaborative evolutionary optimization for railway freight allocation.
Neurocomputing
Yiyin Tang, Yalin Wang, Chenliang Liu, Yong Wang, Weihua Gui
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
2025 J jnl
TsDa-ASAM: Balancing efficiency and accuracy in coke image particle size segmentation via two-stage distillation-aware adaptive segment anything model.
Appl. Intell.
Yalin Wang, Yubin Peng, Xujie Tan, Yuqing Pan, Chenliang Liu
2024 J jnl
A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications.
Eng. Appl. Artif. Intell.
Yalin Wang, Rao Dai, Diju Liu, Kai Wang, Xiaofeng Yuan, Chenliang Liu
2024 J jnl
Adaptive Attention-Driven Manifold Regularization for Deep Learning Networks: Industrial Predictive Modeling Applications and Beyond.
IEEE Trans. Ind. Electron.
Chenliang Liu, Yalin Wang, Chunhua Yang, Henry Leung, Xunyuan Yin
2024 J jnl
Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder.
Eng. Appl. Artif. Intell.
Kai Wang, Caoyin Yan, Yanfang Mo, Yalin Wang, Xiaofeng Yuan, Chenliang Liu
2024 J jnl
Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework.
IEEE Trans Autom. Sci. Eng.
Diju Liu, Yalin Wang, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang
2024 J jnl
Exploring interpretable evolutionary optimization via significance of each constraint and population diversity.
Swarm Evol. Comput.
Yalin Wang, Xujie Tan, Chenliang Liu, Pei-Qiu Huang, Qingfu Zhang, Chunhua Yang
2024 — conf
Genetic Algorithm Driven by Translational Mutation Operator for the Scheduling Optimization in the Steelmaking-Continuous Casting Production.
IIP (1)
Lin Guan, Yalin Wang, Xujie Tan, Chenliang Liu
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 — conf
Multi-Mechanism-Driven Whale Optimization Algorithm for Collaborative Scheduling of Industrial Equipment.
ASCC
Bin Lin, Yalin Wang, Xujie Tan, Lin Guan, Zhifeng Qiu, Geert Deconinck, Chenliang Liu
2024 J jnl
Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes.
IEEE CAA J. Autom. Sinica
Chenliang Liu, Yalin Wang, Chunhua Yang, Weihua Gui
2024 J jnl
Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes.
IEEE Trans. Instrum. Meas.
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang
2024 J jnl
Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process.
IEEE Trans. Cybern.
Yalin Wang, Silong Li, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
2024 J jnl
Operating Condition Recognition of Industrial Flotation Processes Using Visual and Acoustic Bimodal Autoencoder With Manifold Learning.
IEEE Trans. Ind. Informatics
Chenliang Liu, Yalin Wang, Yijing Fang, Chunhua Yang, Weihua Gui
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
2024 J jnl
Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer.
IEEE Trans. Knowl. Data Eng.
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
2024 J jnl
Unveiling the potential of progressive training diffusion model for defect image generation and recognition in industrial processes.
Neurocomputing
Yalin Wang, Zexiong Zhou, Xujie Tan, Yuqing Pan, Junqi Yuan, Zhifeng Qiu, Chenliang Liu
2023 C conf
Communication and Self-Learning Strategies Incorporated State Transition Algorithm for Optimization of Complex Systems.
SAFEPROCESS
Xujie Tan, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang
2023 J jnl
Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes.
IEEE Trans. Ind. Informatics
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
2023 J jnl
Domain adaptation for few-sample nonlinear process monitoring with deep networks.
Inf. Sci.
Yalin Wang, Hansheng Wu, Chenliang Liu, Kai Wang, Xiaofeng Yuan
2023 C conf
Promoting Decision-Making in Industrial Flotation Process by Collaborating Multiple Flotation Cells.
IECON
Chenliang Liu, Yalin Wang, Yijing Fang, Kai Wang
2023 — conf
Reinforcement Learning-based Operational Decision-Making in the Process Industry Using Multi-View Data.
CDC
Chenliang Liu, Yalin Wang, Chunhua Yang, Weihua Gui
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
2023 J jnl
Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes.
Eng. Appl. Artif. Intell.
Yiyin Tang, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
2023 J jnl
Semi-supervised deep embedded clustering with pairwise constraints and subset allocation.
Neural Networks
Yalin Wang, Jiangfeng Zou, Kai Wang, Chenliang Liu, Xiaofeng Yuan
2022 C conf
A multi-source transfer learning method for new mode monitoring in industrial processes.
CoDIT
Kai Wang, Wenxuan Zhou, Chenliang Liu, Xiaofeng Yuan, Yalin Wang
2022 J jnl
A reduced nonstationary discrete convolution kernel for multimode process monitoring.
Int. J. Mach. Learn. Cybern.
Kai Wang, Caoyin Yan, Xiaofeng Yuan, Yalin Wang, Chenliang Liu
2022 J jnl
Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling.
Adv. Eng. Informatics
Yalin Wang, Diju Liu, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
2022 J jnl
Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction.
IEEE Trans. Instrum. Meas.
Yalin Wang, Jiang Luo, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
2022 J jnl
Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application.
IEEE Trans. Ind. Informatics
Chenliang Liu, Kai Wang, Yalin Wang, Xiaofeng Yuan
2021 — conf
Cellular Similarity based Imputation for Single cell RNA Sequencing Data.
ICBBT
Chenliang Liu, Yuan Zhu, Houwang Zhang
2021 J jnl
Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE.
IEEE Trans. Instrum. Meas.
Chenliang Liu, Kai Wang, Yalin Wang, Shengli Xie, Chunhua Yang
2021 J jnl
Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process.
Inf. Sci.
Chenliang Liu, Kai Wang, Lingjian Ye, Yalin Wang, Xiaofeng Yuan
2021 J jnl
Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes.
Eng. Appl. Artif. Intell.
Chenliang Liu, Yalin Wang, Kai Wang, Xiaofeng Yuan