Multi-step optimal control of complex process: a genetic programming strategy and its application. - Xiaofang Chen; Weihua Gui 001; Yalin Wang 003; Lihui Cen (Eng. Appl. Artif. Intell., 2004)

Reducing Verification Complexity of a Multicore Coherence Protocol Using Assume/Guarantee. - Xiaofang Chen; Yu Yang 013; Ganesh Gopalakrishnan; Ching-Tsun Chou (FMCAD, 2006)

Decomposition and Noncausal Realization of Unstable LPTV System. - Xiaofang Chen; Cishen Zhang; Jingxin Zhang 001 (ICARCV, 2006)

A State Space Approach to the Inverse of LPTV Filters. - Xiaofang Chen; Cishen Zhang; Jingxin Zhang 001 (ICASSP (3), 2006)

Transaction Based Modeling and Verification of Hardware Protocols. - Xiaofang Chen; Steven M. German; Ganesh Gopalakrishnan (FMCAD, 2007)

Hierarchical cache coherence protocol verification one level at a time through assume guarantee. - Xiaofang Chen; Yu Yang 013; Michael Delisi; Ganesh Gopalakrishnan; Ching-Tsun Chou (HLDVT, 2007)

Distributed Dynamic Partial Order Reduction Based Verification of Threaded Software. - Yu Yang 013; Xiaofang Chen; Ganesh Gopalakrishnan; Robert M. Kirby (SPIN, 2007)

Efficient Stateful Dynamic Partial Order Reduction. - Yu Yang 013; Xiaofang Chen; Ganesh Gopalakrishnan; Robert M. Kirby (SPIN, 2008)

Verification of Hierarchical Cache Coherence Protocols for Futuristic Processors. - Xiaofang Chen (2008)

Automatic Discovery of Transition Symmetry in Multithreaded Programs Using Dynamic Analysis. - Yu Yang 013; Xiaofang Chen; Ganesh Gopalakrishnan; Chao Wang 001 (SPIN, 2009)

Circadian KaiC Phosphorylation: A Multi-Layer Network. - Congxin Li; Xiaofang Chen; Pengye Wang; Weichi Wang (PLoS Comput. Biol., 2009)

Realizations of cascaded LTV mixed causal and anticausal systems. - Xiaofang Chen; Cishen Zhang; Jingxin Zhang 001 (ICCA, 2010)

Efficient methods for formally verifying safety properties of hierarchical cache coherence protocols. - Xiaofang Chen; Yu Yang 013; Ganesh Gopalakrishnan; Ching-Tsun Chou (Formal Methods Syst. Des., 2010)

Distributed dynamic partial order reduction. - Yu Yang 013; Xiaofang Chen; Ganesh Gopalakrishnan; Robert M. Kirby (Int. J. Softw. Tools Technol. Transf., 2010)

Analysis and Computation of Optimal Bounds of Bi-directional Frames. - Xiaofang Chen; Cishen Zhang; Jingxin Zhang 001 (ICINCO (1), 2011)

Quantity Management of Stock Based on BOM. - Xiaofang Chen; Lei Cheng; Weihua Guo; Liangzhong Shen (WHICEB, 2012)

Impact of Corporate Culture on Resource Sharing Between Enterprises. - Xiaofang Chen; Fanguo Kong (WHICEB, 2012)

Impact of corporate culture on resources sharing between enterprises. - Xiaofang Chen; Fanguo Kong (Int. J. Netw. Virtual Organisations, 2013)

A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification. - Yalin Wang 003; Xiaofang Chen; Weihua Gui 001; Chunhua Yang 001; Lou Caccetta; Honglei Xu (J. Appl. Math., 2013)

Power Consumption Prediction for Dynamic Adjustment in Hydrocracking Process Based on State Transition Algorithm and Support Vector Machine. - Xiaofang Chen; Ying-Can Qian; Yalin Wang 003 (ICONIP (5), 2017)

Semantic Network Based on Intuitionistic Fuzzy Directed Hyper-Graphs and Application to Aluminum Electrolysis Cell Condition Identification. - Zuguo Chen; Yonggang Li; Xiaofang Chen; Chunhua Yang 001; Weihua Gui 001 (IEEE Access, 2017)

On Modeling and Constrained Model Predictive Control of Open Irrigation Canals. - Lihui Cen; Ziqiang Wu; Xiaofang Chen; Yanggui Zou; Shaohui Zhang (J. Control. Sci. Eng., 2017)

A Soft Sensing Prediction Model of Superheat Degree in the Aluminum Electrolysis Production. - Hong Yu 007; Jisen Yang; Xiaofang Chen; Zhong Zou; Guoyin Wang 001; Tao Sang (IEEE BigData, 2018)

A Multi-objective Optimization Algorithm Based on Preference Three-Way Decomposition. - Zhao Fu; Hong Yu 007; Hongliang Zhang; Xiaofang Chen (KSEM (2), 2018)

Heterogeneous cooperative belief for social dilemma in multi-agent system. - Keke Huang; Xiaofang Chen; Zhaofei Yu; Chunhua Yang 001; Weihua Gui 001 (Appl. Math. Comput., 2018)

A Novel Matching Method for Supply and Demand Based on Three-Way Decisions. - Mengnan Cui; Hong Yu 007; Hongliang Zhang; Xiaofang Chen (ISKE, 2019)

A Hybrid Regularization Semi-Supervised Extreme Learning Machine Method and Its Application. - Yongxiang Lei; Lihui Cen; Xiaofang Chen; Yongfang Xie (IEEE Access, 2019)

Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process. - Chunhua Yang 001; Longfei Zhou; Keke Huang; Hongquan Ji; Cheng Long 001; Xiaofang Chen; Yongfang Xie (Neurocomputing, 2019)

Knowledge representation and reasoning using self-learning interval type-2 fuzzy Petri nets and extended TOPSIS. - Weichao Yue; Weihua Gui 001; Xiaofang Chen; Zhaohui Zeng; Yongfang Xie (Int. J. Mach. Learn. Cybern., 2019)

A Study on The Admission Policy of College Entrance Examination for Ethnic Minorities in China from the Perspective of Cultural Analysis. - Xiaofang Chen; Ping Xue 013 (ISBDAI, 2020)

Hydro-metallurgical Process Study on Treating Copper from the Perspective of New Environmental Protection Law. - Xiaofang Chen; Ping Xue 013 (ISBDAI, 2020)

A semi-supervised Laplacian extreme learning machine and feature fusion with CNN for industrial superheat identification. - Yongxiang Lei; Xiaofang Chen; Mengcan Min; Yongfang Xie (Neurocomputing, 2020)

Dynamic uncertain causality graph based on cloud model theory for knowledge representation and reasoning. - Li Li 080; Yongfang Xie; Xiaofang Chen; Weichao Yue; Zhaohui Zeng (Int. J. Mach. Learn. Cybern., 2020)

An efficient three-way clustering algorithm based on gravitational search. - Hong Yu 007; Zhihua Chang; Guoyin Wang 001; Xiaofang Chen (Int. J. Mach. Learn. Cybern., 2020)

Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis. - Zhaoke Huang; Chunhua Yang 001; Xiaofang Chen; Keke Huang; Yongfang Xie (Neural Comput. Appl., 2020)

Exploration on the Construction of Virtual Simulation Experiment Platform of Law under the Background of New Liberal Arts. - Xiaofang Chen (ICIIP, 2021)

Estimating the Alumina Concentration During Aluminum Electrolysis by Identifying the Sensitive Frequency Band Using Marginal Kurtosis. - Zhaohui Zeng; Weihua Gui 001; Lihui Cen; Xiaofang Chen; Yongfang Xie (IEEE Access, 2021)

Functional deep echo state network improved by a bi-level optimization approach for multivariate time series classification. - Zhaoke Huang; Chunhua Yang 001; Xiaofang Chen; Xiaojun Zhou; Guo Chen 005; Tingwen Huang; Weihua Gui 001 (Appl. Soft Comput., 2021)

The role of perceived integration in WeChat usages for seeking information and sharing comments: A social capital perspective. - Xiaofang Chen; Jianqing Ma; June Wei; Shuiqing Yang (Inf. Manag., 2021)

Knowledge-aware multi-center clinical dataset adaptation: Problem, method, and application. - Jiebin Chu; Jinbiao Chen; Xiaofang Chen; Wei Dong 005; Jinlong Shi; Zhengxing Huang (J. Biomed. Informatics, 2021)

A method for root cause diagnosis with picture fuzzy sets based dynamic uncertain causality graph. - Li Li 080; Yongfang Xie; Xiaofang Chen (J. Intell. Fuzzy Syst., 2021)

An improved cell situation identification approach with convolutional neural network and wavelet extreme learning machine. - Yongxiang Lei; Xiaofang Chen; Yongfang Xie (J. Syst. Control. Eng., 2021)

Formation mechanism of environmental protection behaviours of community residents: A system dynamics perspective. - Ruihua Xu; Fan Luo; Xiaofang Chen; Mingze Li; Zapan Barua (Kybernetes, 2021)

Cooperative particle swarm optimizer with depth first search strategy for global optimization of multimodal functions. - Jie Wang 150; Yongfang Xie; Shiwen Xie; Xiaofang Chen (Appl. Intell., 2022)

Time series clustering method with cluster validation to identify unknown local cell conditions in the aluminum reduction cell. - Zhaoke Huang; Chunhua Yang 001; Xiaofang Chen; Xiaojun Zhou; Weihua Gui 001 (Comput. Ind. Eng., 2022)

A novel self-supervised deep LSTM network for industrial temperature prediction in aluminum processes application. - Yongxiang Lei; Hamid Reza Karimi; Xiaofang Chen (Neurocomputing, 2022)

An explainable artificial intelligence approach for financial distress prediction. - Zijiao Zhang; Chong Wu; Shi-You Qu; Xiaofang Chen (Inf. Process. Manag., 2022)

Manifold semi-supervised learning for aluminum electrolysis temperature identification based on regularized hierarchical extreme learning machine. - Yongxiang Lei; Fang Liu; Hamid Reza Karimi; Xiaofang Chen (J. Syst. Control. Eng., 2022)

A novel multiple temporal-spatial convolution network for anode current signals classification. - Xiaoxue Wan; Lihui Cen; Xiaofang Chen; Yongfang Xie (Int. J. Mach. Learn. Cybern., 2022)

Optimization Method of the Installation Direction of Industrial Endoscopes for Increasing the Imaged Burden Surface Area in Blast Furnaces. - Zunhui Yi; Zhaohui Jiang 001; Jiancai Huang; Xiaofang Chen; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2022)

Unsupervised Monocular Depth Estimation with Semantic Reconstruction Using Dual-Discriminator Generative Adversarial. - Jiwen Li; Shiwen Xie; Yongfang Xie; Xiaofang Chen; Xi Chen (ICONIP (7), 2023)

Superheat Degree Recognition of Aluminum Electrolysis Cell Using Unbalance Double Hierarchy Hesitant Linguistic Petri Nets. - Weichao Yue; Lingfeng Hou; Xiaoxue Wan; Xiaofang Chen; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2023)

Population-based discrete state transition algorithm with decomposition and knowledge guidance applied to electrolytic cell maintenance decision. - Jue Shi; Xiaofang Chen; Yongfang Xie; Hongliang Zhang; Yubo Sun (Appl. Soft Comput., 2023)

Semi-supervised Discriminative Projective Dictionary Pair Learning and Its Application to Industrial Process. - Ziqing Deng; Xiaofang Chen; Shiwen Xie; Yongfang Xie; Hongliang Zhang (IEEE Trans. Ind. Informatics, 2023)

Root cause analysis for process industry using causal knowledge map under large group environment. - Weichao Yue; Jianing Chai; Xiaoxue Wan; Yongfang Xie; Xiaofang Chen; Weihua Gui 001 (Adv. Eng. Informatics, 2023)

LDA enhanced one-bit compressive sensing method for high-throughput mass spectrometry data feature selection. - Xuechun Bian; Xiaofang Chen; Wenbo Xu 003; Yue Wang 019 (Digit. Signal Process., 2023)

A Hybrid Model for Billet Tapping Temperature Prediction and Optimization in Reheating Furnace. - Hong Yu 007; Jiangnan Gong; Guoyin Wang 001; Xiaofang Chen (IEEE Trans. Ind. Informatics, 2023)

A dynamic spatial distributed information clustering method for aluminum electrolysis cell. - Yubo Sun; Weihua Gui 001; Xiaofang Chen; Yongfang Xie; Shiwen Xie; Zhong Zou (Eng. Appl. Artif. Intell., 2023)

Multiple structured latent double dictionary pair learning for cross-domain industrial process monitoring. - Ziqing Deng; Xiaofang Chen; Yongfang Xie; Zhong Zou; Hongliang Zhang (Inf. Sci., 2023)

Robust Nonlinear Model Predictive Control Based on the LPV System with Polytopic Uncertainty Identified Using Koopman Operator. - Zhong Chen; Xiaofang Chen; Lihui Cen; Weihua Gui 001 (CDC, 2024)

A Study on the Benefit-Sharing Mechanism in Joint Development of Commercial Airplanes: Based on the Perspective of Supplier-Manufacturer Game. - Xiaofang Chen; Yanxin Hou (INDIN, 2024)

Operational Decision-Making Optimization of Aluminum Electrolysis Process Based on Health Evaluation of Aluminum Electrolytic Cell. - Jie Wang 150; Yongfang Xie; Shiwen Xie; Xiaofang Chen (CIS-RAM, 2024)

Specific Emitter Identification Based on Joint Variational Mode Decomposition. - Xiaofang Chen; Wenbo Xu 003; Yue Wang 019 (VTC Fall, 2024)

Multi-generator adversarial dynamic spatial-temporal shapelet network for anode effect prediction in aluminum electrolysis process. - Xiaoxue Wan; Lihui Cen; Xiaofang Chen; Yongfang Xie (Adv. Eng. Informatics, 2024)

Prior knowledge-augmented unsupervised shapelet learning for unknown abnormal working condition discovery in industrial process. - Xiaoxue Wan; Lihui Cen; Xiaofang Chen; Yongfang Xie; Weihua Gui 001 (Adv. Eng. Informatics, 2024)

Failure mode and effect analysis with ORESTE method under large group probabilistic free double hierarchy hesitant linguistic environment. - Xiaoxue Wan; Lihui Cen; Weichao Yue; Yongfang Xie; Xiaofang Chen; Weihua Gui 001 (Adv. Eng. Informatics, 2024)

Consensus-based probabilistic hesitant intuitionistic linguistic Petri nets for knowledge-intensive work of superheat degree identification. - Weichao Yue; Lingfeng Hou; Xiaoxue Wan; Yongfang Xie; Xiaofang Chen; Weihua Gui 001 (Adv. Eng. Informatics, 2024)

Learning model predictive control of nonlinear systems with time-varying parameters using Koopman operator. - Zhong Chen; Xiaofang Chen; Jinping Liu; Lihui Cen; Weihua Gui 001 (Appl. Math. Comput., 2024)

A dynamic graph structure identification method of spatio-temporal correlation in an aluminum electrolysis cell. - Yubo Sun; Xiaofang Chen; Lihui Cen; Weihua Gui 001; Chunhua Yang 001; Zhong Zou (Appl. Soft Comput., 2024)

An optimal and efficient hierarchical motion planner for industrial robots with complex constraints. - Longfei Zhang; Zeyang Yin; Xiaofang Chen; Yongfang Xie (Comput. Electr. Eng., 2024)

Specific Emitter Identification Based on Joint Variational Mode Decomposition. - Xiaofang Chen; Wenbo Xu 003; Yue Wang 019; Yan Huang 032 (CoRR, 2024)

DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation. - Yushuai Wu; Ting Zhang; Hao Zhou 012; Hainan Wu; Hanwen Sunchu; Lei Hu; Xiaofang Chen; Suyuan Zhao; Gaochao Liu; Chao Sun; Jiahuan Zhang; Yizhen Luo; et al. (CoRR, 2024)

Development of data-knowledge-driven predictive model and multi-objective optimization for intelligent optimal control of aluminum electrolysis process. - Jie Wang 150; Yongfang Xie; Shiwen Xie; Xiaofang Chen (Eng. Appl. Artif. Intell., 2024)

A large-scale graph clustering method for cell conditions spatio-temporal localization in aluminum electrolysis. - Yubo Sun; Weihua Gui 001; Xiaofang Chen; Lihui Cen; Chunhua Yang 001; Zhong Zou (Inf. Sci., 2024)

Joint Variational Modal Decomposition for Specific Emitter Identification With Multiple Sensors. - Xiaofang Chen; Xue Fu; Wenbo Xu 003; Yue Wang 019; Guan Gui 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Dual Cross-Attention Transformer Networks for Temporal Predictive Modeling of Industrial Process. - Jie Wang 150; Yongfang Xie; Shiwen Xie; Xiaofang Chen (IEEE Trans. Instrum. Meas., 2024)

Unsupervised heat balance indicator construction based on variational autoencoder and its application to aluminum electrolysis process monitoring. - Jie Wang 150; Shiwen Xie; Yongfang Xie; Xiaofang Chen (Eng. Appl. Artif. Intell., 2024)

Adversarial Training-Based Deep Layer-Wise Probabilistic Network for Enhancing Soft Sensor Modeling of Industrial Processes. - Yongfang Xie; Jie Wang 150; Shiwen Xie; Xiaofang Chen (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Hybrid-driven BRBCS-BOM with expert intervention and its application for abnormity recognition in electrolytic cell. - Jue Shi; Xiaofang Chen; Yongfang Xie; Hongliang Zhang; Lihui Cen; Yubo Sun (Expert Syst. Appl., 2024)

A General Knowledge-Guided Framework Based on Deep Probabilistic Network for Enhancing Industrial Process Modeling. - Jie Wang 150; Shiwen Xie; Yongfang Xie; Xiaofang Chen (IEEE Trans. Ind. Informatics, 2024)

Delicately Reinforced k-Nearest Neighbor Classifier Combined With Expert Knowledge Applied to Abnormity Forecast in Electrolytic Cell. - Jue Shi; Xiaofang Chen; Yongfang Xie; Hongliang Zhang; Yubo Sun (IEEE Trans. Neural Networks Learn. Syst., 2024)

Evaluation model of aluminum electrolysis cell condition based on multi-source heterogeneous data fusion. - Yubo Sun; Weihua Gui 001; Xiaofang Chen; Yongfang Xie (Int. J. Mach. Learn. Cybern., 2024)

Label Propagation With Contrastive Anchors for Deep Semi-Supervised Superheat Degree Identification in Aluminum Electrolysis Process. - Jie Wang 150; Shiwen Xie; Yongfang Xie; Xiaofang Chen (IEEE Trans Autom. Sci. Eng., 2024)

Memory Shapelet Learning for Early Classification of Streaming Time Series. - Xiaoxue Wan; Lihui Cen; Xiaofang Chen; Yongfang Xie; Weihua Gui 001 (IEEE Trans. Cybern., 2024)

Multiview Shapelet Prototypical Network for Few-Shot Fault Incremental Learning. - Xiaoxue Wan; Lihui Cen; Xiaofang Chen; Yongfang Xie; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2024)

Multi-scale 4D localized spatio-temporal graph convolutional networks for spatio-temporal sequences forecasting in aluminum electrolysis. - Yubo Sun; Xiaofang Chen; Weihua Gui 001; Lihui Cen; Yongfang Xie; Zhong Zou (Adv. Eng. Informatics, 2025)

Multi-class financial distress prediction based on hybrid feature selection and improved stacking ensemble model. - Xiaofang Chen; Jiaming Liu; Chong Wu (Expert Syst. Appl., 2025)

Physics-informed Koopman model predictive control of open canal systems. - Ningjun Zeng; Lihui Cen; Wentao Hou; Yongfang Xie; Xiaofang Chen (J. Ind. Inf. Integr., 2025)

Financial distress prediction based on ensemble feature selection and improved stacking algorithm. - Chong Wu; Xiaofang Chen; Yongjie Jiang (Kybernetes, 2025)

A Domain Knowledge-Supervised Framework Based on Deep Probabilistic Generation Network for Enhancing Industrial Soft Sensing. - Weichao Yue; Haiyang Hu; Xiaoxue Wan; Xiaofang Chen; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2025)

Efficient quality variable prediction of industrial process via fuzzy neural network with lightweight structure. - Jie Wang 150; Shiwen Xie; Yongfang Xie; Xiaofang Chen (J. Intell. Manuf., 2025)

Real-time underwater target detection based on improved YOLOv7. - Qingqi Wu; Lihui Cen; Shichao Kan; Yongping Zhai; Xiaofang Chen; Hong Zhang (J. Real Time Image Process., 2025)

Parameter Estimation for Perceptive Mobile Networks Based on Two-Level Block Sparsity. - Yuxuan Luo; Xiaofang Chen; Wenbo Xu 003; Yue Wang 019; Yingshu Li (IEEE Trans. Veh. Technol., 2025)

Convertible Shapelet Learning With Incremental Learning Capability for Industrial Fault Diagnosis Under Shape Shift Samples. - Xiaoxue Wan; Lihui Cen; Xiaofang Chen; Yongfang Xie; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2025)

Reducing Annotation Burden in Physical Activity Research Using Vision-Language Models. - Abram Schonfeldt; Benjamin Maylor; Xiaofang Chen; Ronald Clark; Aiden R. Doherty (CoRR, 2025)

Enhanced-MOT: Robust Multi-Pedestrian Tracking with Enhanced IoU and Deep Features Association. - Yuzhe Mu; Lihui Cen; Shichao Kan; Xiaofang Chen (Signal Image Video Process., 2025)