Evaluation on dexterity of human lower limbs and a powered orthosis experiment. - Diansheng Chen; Meng Ning; Jian Li; Guang Yang; Bei Sun (ROBIO, 2014)

Gait Recognition with Adaptively Fused GEI Parts. - Bei Sun; Wusheng Luo; Qin Lu 001; Liebo Du; Xing Zeng (CCBR, 2016)

A Fingerprint Identification Algorithm Based on Local Minutiae Topological Property. - Bei Sun; Wusheng Luo; Liebo Du; Qin Lu 001 (DSC, 2016)

Online Learning Neural Network for Adaptively Weighted Hybrid Modeling. - Shao-Ming Yang; Yalin Wang 003; Yong-fei Xue; Bei Sun; Bu-song Yang (ICONIP (2), 2016)

Sulfur Flotation Performance Recognition Based on Hierarchical Classification of Local Dynamic and Static Froth Features. - Yalin Wang 003; Bei Sun; Runqin Zhang; Quanmin Zhu; Fanbiao Li (IEEE Access, 2018)

Modeling, optimization, and control of solution purification process in zinc hydrometallurgy. - Bei Sun; Chunhua Yang 001; Hongqiu Zhu; Yonggang Li; Weihua Gui 001 (IEEE CAA J. Autom. Sinica, 2018)

基于深度传感器的坐姿检测系统 (Sitting Posture Detection System Based on Depth Sensor). - Xing Zeng; Bei Sun; Wusheng Luo; Taocheng Liu; Qin Lu 001 (计算机科学, 2018)

Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion. - Yalin Wang 003; Haibing Xia; Xiaofeng Yuan; Ling Li; Bei Sun (Multim. Tools Appl., 2018)

On-Line Froth Depth Estimation for Sulphur Flotation Process With Multiple Working Conditions. - Mingfang He; Bei Sun (IEEE Access, 2019)

U-neural network-enhanced control of nonlinear dynamic systems. - Quanmin Zhu; Weicun Zhang; Jianhua Zhang 010; Bei Sun (Neurocomputing, 2019)

Time Difference of Arrival (TDoA) Localization Combining Weighted Least Squares and Firefly Algorithm. - Peng Wu; Shaojing Su; Zhen Zuo; Xiaojun Guo; Bei Sun; Xudong Wen (Sensors, 2019)

Moving Horizon Estimation of Sulfur Concentrate Grade Based on Kinetic Models Under Multiple Working Conditions. - Mingfang He; Bei Sun; Guoxiong Zhou; Junjie Zhu (IEEE Access, 2020)

A chance-constrained programming approach for a zinc hydrometallurgy blending problem under uncertainty. - Yu Chen 047; Yonggang Li; Bei Sun; Yudong Li; Hongqiu Zhu; Zhisheng Chen (Comput. Chem. Eng., 2020)

Effects of Coinfection on the Dynamics of Two Pathogens in a Tick-Host Infection Model. - Bei Sun; Xue Zhang 003; Marco Tosato (Complex., 2020)

Optimizing zinc electrowinning processes with current switching via Deep Deterministic Policy Gradient learning. - Xiongtao Shi; Yonggang Li; Bei Sun; Honglei Xu; Chunhua Yang 001; Hongqiu Zhu (Neurocomputing, 2020)

Estimation of Feeding Composition of Industrial Process Based on Data Reconciliation. - Yusi Luan; Mengxuan Jiang; Zhenxiang Feng; Bei Sun (Entropy, 2021)

Multi-models and dual-sampling periods quality prediction with time-dimensional K-means and state transition-LSTM network. - Xiongtao Shi; Yonggang Li; Yanhua Yang; Bei Sun; Fang Qi (Inf. Sci., 2021)

EAAU-Net: Enhanced Asymmetric Attention U-Net for Infrared Small Target Detection. - Xiaozhong Tong; Bei Sun; Junyu Wei; Zhen Zuo; Shaojing Su (Remote. Sens., 2021)

An Efficient Computational Cost Reduction Strategy for the Population-Based Intelligent Optimization of Nonlinear Dynamical Systems. - Yongfei Xue; Yalin Wang 003; Bei Sun; Xiangyu Peng (IEEE Trans. Ind. Informatics, 2021)

A New Model Transfer Strategy Among Spectrometers Based on SVR Parameter Calibrating. - Can Zhou; Wentao Yu; Keke Huang; Hongqiu Zhu; Yonggang Li; Chunhua Yang 001; Bei Sun (IEEE Trans. Instrum. Meas., 2021)

A multimode mechanism-guided product quality estimation approach for multi-rate industrial processes. - Zhenxiang Feng; Yonggang Li; Bei Sun; Chunhua Yang 001; Tingwen Huang (Inf. Sci., 2022)

AFFPN: Attention Fusion Feature Pyramid Network for Small Infrared Target Detection. - Zhen Zuo; Xiaozhong Tong; Junyu Wei; Shaojing Su; Peng Wu; Runze Guo; Bei Sun (Remote. Sens., 2022)

SRCANet: Stacked Residual Coordinate Attention Network for Infrared Ship Detection. - Peng Wu 025; Honghe Huang; Hanxiang Qian; Shaojing Su; Bei Sun; Zhen Zuo (IEEE Trans. Geosci. Remote. Sens., 2022)

Industrial Process Modeling and Monitoring Based on Jointly Specific and Shared Dictionary Learning. - Keke Huang; Zui Tao; Bei Sun; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2022)

A Mechanism-Based Semisupervised Online pH Estimation Approach for a Leaching Process. - Shuang Long; Weijian Li; Bei Sun; Yonggang Li (IEEE Trans. Instrum. Meas., 2022)

A Multiple Light Scenes Suited Turbidity Analysis Method Based on Image Recognition and Information Fusion. - Can Zhou; Tianhao Liu; Hongqiu Zhu; Fanbiao Li; Keke Huang; Bei Sun; Yancho Todorov (IEEE Trans. Instrum. Meas., 2022)

An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application. - Cunnian Gao; Hao Ren 005; Wei Cui; Xiaojun Liang; Chunhua Yang 001; Weihua Gui 001; Bei Sun; Keke Huang (ICONIP (11), 2023)

A cascaded modeling approach for comprehensive reaction state perception of a hydrometallurgical reactor. - Xulong Zhang 008; Yonggang Li; Shuang Long; Guoxin Liu; Bei Sun; Chunhua Yang 001 (Eng. Appl. Artif. Intell., 2023)

MSAFFNet: A Multiscale Label-Supervised Attention Feature Fusion Network for Infrared Small Target Detection. - Xiaozhong Tong; Shaojing Su; Peng Wu 025; Runze Guo; Junyu Wei; Zhen Zuo; Bei Sun (IEEE Trans. Geosci. Remote. Sens., 2023)

RISTrack: Robust Infrared Ship Tracking With Modified Appearance Feature Extraction and Matching Strategy. - Peng Wu 025; Shaojing Su; Zhen Zuo; Bei Sun; Junyu Wei; Runze Guo; Xiaozhong Tong; Jiaju Zhang; Honghe Huang (IEEE Trans. Geosci. Remote. Sens., 2023)

Abnormal Operating Condition Identification of Industrial Processes Based on Deep Learning With Global-Local Slow Feature Analysis. - Zhenxiang Feng; Yonggang Li; Bei Sun; Chunhua Yang 001 (IEEE Trans. Instrum. Meas., 2023)

A Spatial-Temporal Structural Estimation Model Based on GATE-PCGRU for Multirate Industrial Process. - Bei Sun; Shengyu Liu; Yonggang Li (IEEE Trans. Instrum. Meas., 2023)

A New Ion Concentration Detection Method Based on Spectral Matching and Fusion for Zinc Leaching Liquid. - Can Zhou; Wentao Yu; Ye Yang; Hongqiu Zhu; Bei Sun; Yonggang Li (IEEE Trans. Instrum. Meas., 2023)

Adaptive Multimode Process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning. - Keke Huang; Zui Tao; Yishun Liu; Bei Sun; Chunhua Yang 001; Weihua Gui 001; Shiyan Hu 001 (IEEE Trans. Cybern., 2023)

Nonlinear MPC based on elastic autoregressive fuzzy neural network with roasting process application. - Huiping Liang; Chunhua Yang 001; Yonggang Li; Bei Sun; Zhenxiang Feng (Expert Syst. Appl., 2023)

A multimode structured prediction model based on dynamic attribution graph attention network for complex industrial processes. - Bei Sun; Mingjie Lv; Can Zhou; Yonggang Li (Inf. Sci., 2023)

A constrained multi-objective deep reinforcement learning approach for temperature field optimization of zinc oxide rotary volatile kiln. - Fengrun Tang; Zhenxiang Feng; Yonggang Li; Chunhua Yang 001; Bei Sun (Adv. Eng. Informatics, 2023)

An Optimal Control Method for Operation Status Migration in the Process Manufacturing Industry. - Xulong Zhang 008; Yonggang Li; Bei Sun; Shengyu Liu (ECC, 2024)

Research On YOLOv8 UAV Ground Target Detection Based On RK3588. - Desen Bu; Bei Sun; Xiaoyong Sun; Runze Guo (ICCVIT, 2024)

Zinc roasting temperature field control with CFD model and reinforcement learning. - Huiping Liang; Chunhua Yang 001; Mingjie Lv; Xulong Zhang 008; Zhenxiang Feng; Yonggang Li; Bei Sun (Adv. Eng. Informatics, 2024)

An interpretable operating condition partitioning approach based on global spatial structure compensation-local temporal information aggregation self-organizing map for complex industrial processes. - Bei Sun; Maopeng Li; Yonggang Li; Mingjie Lv; Zhixuan Peng; Ran Hong (Expert Syst. Appl., 2024)

A co-optimized control method of key parameters during operating state migration in zinc electrolysis process. - Bei Sun; Zhixuan Peng; Mingjie Lv; Maopeng Li; Ran Hong; Yonggang Li; Dehao Wu (J. Frankl. Inst., 2024)

Background-Aware Cross-Attention Multiscale Fusion for Multispectral Object Detection. - Runze Guo; Xiaojun Guo; Xiaoyong Sun; Peida Zhou; Bei Sun; Shaojing Su (Remote. Sens., 2024)

Knowledge-Data-Based Synchronization States Analysis for Process Monitoring and Its Application to Hydrometallurgical Zinc Purification Process. - Hao Ren 005; Chunhua Yang 001; Bei Sun; Xiaojun Liang; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2024)

Metric Learning-Based Fault Diagnosis and Anomaly Detection for Industrial Data With Intraclass Variance. - Keke Huang; Shujie Wu; Bei Sun; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A spatiotemporal-distributed deep-learning framework for KPI estimation of chemical processes with cascaded reactors. - Jiaxin Li; Yonggang Li; Zhenxiang Feng; Bei Sun; Shuang Long; Yanting Luo (Expert Syst. J. Knowl. Eng., 2024)

A Spatial-Temporal Variational Graph Attention Autoencoder Using Interactive Information for Fault Detection in Complex Industrial Processes. - Mingjie Lv; Yonggang Li; Huiping Liang; Bei Sun; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Dynamics-Learning Multirate Estimation Approach for the Feeding Condition Perception of Complex Industry Processes. - Bei Sun; Maosen Fan; Gengchen Liu; Mingjie Lv; Shengyu Liu; Mingfang He; Keke Huang; Chunhua Yang 001 (IEEE Trans. Cybern., 2024)

Temperature Co-Optimization of Zinc Roasting Process Based on Fuzzy Synthetic Evaluation and Temperature Adjustable Margin. - Zhenxiang Feng; Peng Ma; Yonggang Li; Bei Sun; Chunhua Yang 001 (IEEE Trans. Fuzzy Syst., 2024)

Integrated Optimal Control for Electrolyte Temperature With Temporal Causal Network and Reinforcement Learning. - Tianhao Liu; Chunhua Yang 001; Can Zhou; Yonggang Li; Bei Sun (IEEE Trans. Neural Networks Learn. Syst., 2024)

Variable-Period Estimation of Process Industry Indicators Using Working Condition Semantic Representation and Mechanism-Guided Network Groups. - Tianhao Liu; Chunhua Yang 001; Can Zhou; Jing Zhao 010; Yonggang Li; Bei Sun (IEEE Trans. Ind. Informatics, 2024)

A two-stage multisource heterogeneous information fusion framework for operating condition identification of industrial rotary kilns. - Fengrun Tang; Yonggang Li; Fan Mo; Chunhua Yang 001; Bei Sun (Adv. Eng. Informatics, 2025)

A control-oriented operation mode recognizing method using fuzzy evaluation and attention LSTM networks. - Bei Sun; Zhixuan Peng; Juntao Dai; Yonggang Li (Appl. Soft Comput., 2025)

A novel sim2real reinforcement learning algorithm for process control. - Huiping Liang; Junyao Xie; Biao Huang 001; Yonggang Li; Bei Sun; Chunhua Yang 001 (Reliab. Eng. Syst. Saf., 2025)

A Novel Chattering-Free Discrete Sliding Mode Controller With Disturbance Compensation for Zinc Roasting Temperature Distribution Control. - Huiping Liang; Bei Sun; Biao Huang 001; Yonggang Li; Chunhua Yang 001 (IEEE Trans Autom. Sci. Eng., 2025)

Distributed Intelligent Control Method Based on State Self-Learning and Its Application in Cascade Processes. - Shulong Yin; Yonggang Li; Zhenxiang Feng; Bei Sun; Huiping Liang (IEEE Trans Autom. Sci. Eng., 2025)

A Hierarchical Stochastic Network Approach for Fault Diagnosis of Complex Industrial Processes. - Mingjie Lv; Yonggang Li; Huanzhi Gao; Bei Sun; Keke Huang; Chunhua Yang 001; Weihua Gui 001 (IEEE CAA J. Autom. Sinica, 2025)

Attribution-Aided Nonlinear Granger Causality Discovery Method and Its Industrial Application. - Qingkai Sui; Yalin Wang 003; Chenliang Liu; Kai Wang 024; Bei Sun (IEEE Trans. Ind. Informatics, 2025)

A Reinforcement Learning Control Method for Process Industry Based on Implicit and Explicit Knowledge Extraction and Embedding. - Tianhao Liu; Chunhua Yang 001; Can Zhou; Yonggang Li; Bei Sun (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Toward Adaptive and Interpretable Process Monitoring: Incremental Variational Graph Attention Autoencoder With Probabilistic Inference. - Mingjie Lv; Yonggang Li; Huanzhi Gao; Bei Sun; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Cybern., 2025)