2025
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute.
IEEE Robotics Autom. Lett., February, 2025
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction.
IEEE Robotics Autom. Lett., February, 2025
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2025
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms.
CoRR, January, 2025
2024
Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks.
IEEE Trans. Intell. Transp. Syst., August, 2024
Event-Triggered Constrained Optimal Control for Organic Rankine Cycle Systems via Safe Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
An Automated Diagnostic Framework for Multiple Oscillations With Median Complementary EEMD.
IEEE Trans. Control. Syst. Technol., May, 2024
EEG rhythm separation and time-frequency analysis of fast multivariate empirical mode decomposition for motor imagery BCI.
Biol. Cybern., April, 2024
Operational Optimal Tracking Control for Industrial Multirate Systems Subject to Unknown Disturbances.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
Adaptive multi-scale TF-net for high-resolution time-frequency representations.
Signal Process., January, 2024
Multiple enhanced synchrosqueezing in the time-frequency-chirprate space.
Signal Process., 2024
A rapid iterative trajectory planning method for automated parking through differential flatness.
Robotics Auton. Syst., 2024
Structured collaborative sparse dictionary learning for monitoring of multimode processes.
Inf. Sci., 2024
Towards efficient filter pruning via adaptive automatic structure search.
Eng. Appl. Artif. Intell., 2024
MobileMamba: Lightweight Multi-Receptive Visual Mamba Network.
CoRR, 2024
An Overtaking Trajectory Planning Framework Based on Spatio-temporal Topology and Reachable Set Analysis Ensuring Time Efficiency.
CoRR, 2024
A Data-Driven Aggressive Autonomous Racing Framework Utilizing Local Trajectory Planning with Velocity Prediction.
CoRR, 2024
Learning to Race in Extreme Turning Scene with Active Exploration and Gaussian Process Regression-based MPC.
CoRR, 2024
Learning Multi-view Anomaly Detection.
CoRR, 2024
ADer: A Comprehensive Benchmark for Multi-class Visual Anomaly Detection.
CoRR, 2024
Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis.
CoRR, 2024
Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary learning.
CoRR, 2024
Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control.
CoRR, 2024
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives.
CoRR, 2024
Data-driven auto-tuning strategy for RTO-MPC based on Bayesian optimization.
Comput. Chem. Eng., 2024
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
An aggressive cornering framework for autonomous vehicles combining trajectory planning and drift control.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
PMSA-Net: A parallel multi-scale attention network for MI-BCI classification.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
Learning-Based Hierarchical Model Predictive Control for Drift Vehicles.
Proceedings of the American Control Conference, 2024
A Diffusion-Based Framework for Multi-Class Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
SVD-Based Robust Distributed MPC for Tracking Systems Coupled in Dynamics With Global Constraints.
IEEE Trans. Cybern., December, 2023
Towards accurate dense pedestrian detection via occlusion-prediction aware label assignment and hierarchical-NMS.
Pattern Recognit. Lett., October, 2023
Sinusoidal-assisted synchrosqueezing transform: Algorithms and biomedical applications.
Biomed. Signal Process. Control., August, 2023
Row-Column Overcomplete Structured Dictionary Learning for Enhanced Fault Detection and Isolation.
IEEE Trans. Ind. Informatics, May, 2023
Detrending and Denoising of Industrial Oscillation Data.
IEEE Trans. Ind. Informatics, April, 2023
Accelerating reinforcement learning with case-based model-assisted experience augmentation for process control.
Neural Networks, January, 2023
Kernel-based learning of birth process from evolving spatiotemporal RFS data stream in SMC-CPHD filter for multi-target tracking.
Signal Process., 2023
DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.
CoRR, 2023
Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control.
CoRR, 2023
A Hybrid Deep Neural Network for Nonlinear Causality Analysis in Complex Industrial Control System.
Proceedings of the IEEE International Conference on Acoustics, 2023
Statistic-CAM: A Gradient-Free Visual Explanations for Deep Convolutional Network.
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
Distributed Model Predictive Control for Vehicle Platoon With Mixed Disturbances and Model Uncertainties.
IEEE Trans. Intell. Transp. Syst., 2022
Toward Efficient Safety Helmet Detection Based on YoloV5 With Hierarchical Positive Sample Selection and Box Density Filtering.
IEEE Trans. Instrum. Meas., 2022
Estimations of time-varying birth cardinality distribution and birth intensity in Gaussian mixture CPHD filter for multi-target tracking.
Signal Process., 2022
Towards efficient filter pruning via topology.
J. Real Time Image Process., 2022
Design and optimisation of a green manufacturing-recycling network considering heavy metal pollutants - an electronic assembly case.
Int. J. Prod. Res., 2022
PBDE: an effective post-processing method based on box density for object detection.
Appl. Intell., 2022
Learning-Based MPC Controller for Drift Control of Autonomous Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
An Efficient Framework for Detection and Recognition of Numerical Traffic Signs.
Proceedings of the IEEE International Conference on Acoustics, 2022
CICC: Channel Pruning via the Concentration of Information and Contributions of Channels.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
An Effective Face Anti-Spoofing Method via Stereo Matching.
IEEE Signal Process. Lett., 2021
Multivariate intrinsic chirp mode decomposition.
Signal Process., 2021
Correction to: A compression pipeline for one-stage object detection model.
J. Real Time Image Process., 2021
A compression pipeline for one-stage object detection model.
J. Real Time Image Process., 2021
Self-tuning variational mode decomposition.
J. Frankl. Inst., 2021
Detection and root cause analysis of multiple plant-wide oscillations using multivariate nonlinear chirp mode decomposition and multivariate Granger causality.
Comput. Chem. Eng., 2021
SAVMD: An adaptive signal processing method for identifying protein coding regions.
Biomed. Signal Process. Control., 2021
An MPC-based Controller Framework for Agile Maneuvering of Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Structured Dictionary Learning for Fault Detection and Isolation.
Proceedings of the CAA Symposium on Fault Detection, 2021
Detecting Multiple Plant-wide Oscillations in Process Control Systems Based on Multivariate Intrinsic Chirp Component Decomposition.
Proceedings of the CAA Symposium on Fault Detection, 2021
2020
A Unified Probabilistic Monitoring Framework for Multimode Processes Based on Probabilistic Linear Discriminant Analysis.
IEEE Trans. Ind. Informatics, 2020
Direct Multivariate Intrinsic Time-Scale Decomposition for Oscillation Monitoring.
IEEE Trans. Control. Syst. Technol., 2020
Median ensemble empirical mode decomposition.
Signal Process., 2020
Multivariate nonlinear chirp mode decomposition.
Signal Process., 2020
Predictive functional control for integrator systems.
J. Frankl. Inst., 2020
Deep Learning With Tensor Factorization Layers for Sequential Fault Diagnosis and Industrial Process Monitoring.
IEEE Access, 2020
Gene Prediction by the Scale-limited Gabor Wavelet Transform for Identifying the Protein Coding Regions.
Proceedings of the 16th International Conference on Control, 2020
Extracting fetal heart rate from abdominal ECGs based on fast multivariate empirical mode decomposition.
Proceedings of the 16th International Conference on Control, 2020
Batch-Normalization-based Soft Filter Pruning for Deep Convolutional Neural Networks.
Proceedings of the 16th International Conference on Control, 2020
Loss Constrains Added Squeeze and Excitation Blocks for Pruning Deep Neural Networks.
Proceedings of the 16th International Conference on Control, 2020
Diagnosis of Nonlinearity-induced Oscillations in Process Control Loops Based on Adaptive Chirp Mode Decomposition.
Proceedings of the 2020 American Control Conference, 2020
2019
Structured Joint Sparse Principal Component Analysis for Fault Detection and Isolation.
IEEE Trans. Ind. Informatics, 2019
Detecting Nonlinear Oscillations in Process Control Loop Based on an Improved VMD.
IEEE Access, 2019
Mixture Probabilistic Linear Discriminant Analyzer for Process Fault Classification.
Proceedings of the CAA Symposium on Fault Detection, 2019
Detecting Oscillations via Adaptive Chirp Mode Decomposition.
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
Polyhedral feasible set computation of MPC-based optimal control problems.
IEEE CAA J. Autom. Sinica, 2018
Linear Mismatched Model Based Offset-Free MPC for Nonlinear Constrained Systems With Both Stochastic and Deterministic Disturbances and Its Application to CSTR.
IEEE Access, 2018
Fast Linear Parameter Varying Model Predictive Control of Buck DC-DC Converters Based on FPGA.
IEEE Access, 2018
Fast Multivariate Empirical Mode Decomposition.
IEEE Access, 2018
Development of Decay Based PLS Model and Its Economic Run-to-Run Control for Semiconductor Processes.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Uncertain Production Scheduling Based on Fuzzy Theory Considering Utility and Production Rate.
Inf., 2017
Adaptive islanding detection and diagnosis using wide area monitoring.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017
2015
Adaptive KPCA Modeling of Nonlinear Systems.
IEEE Trans. Signal Process., 2015
A chance constrained programming approach for multi-product multi-stage integrated production planning under internal and external uncertainties.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015
2014
Novel Just-In-Time Learning-Based Soft Sensor Utilizing Non-Gaussian Information.
IEEE Trans. Control. Syst. Technol., 2014
Automatic detection of multiple oscillations by wavelet analysis.
Comput. Electr. Eng., 2014
Fast distributed MPC based on active set method.
Comput. Chem. Eng., 2014
Detecting abnormal situations using the Kullback-Leibler divergence.
Autom., 2014
2013
Process monitoring based on Kullback Leibler divergence.
Proceedings of the 12th European Control Conference, 2013
2011
Soft sensor development using non-Gaussian Just-In-Time modeling.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2006
Swarm Intelligent Analysis of Independent Component and Its Application in Fault Detection and Diagnosis.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006
Swarm Intelligent Tuning of One-Class <i>nu</i>-SVM Parameters.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006
Statistical Processes Monitoring Based on Improved ICA and SVDD.
Proceedings of the Intelligent Computing, 2006