Dong Shen
Orcid: 0000-0001-5592-8453
According to our database1,
Dong Shen
authored at least 118 papers
between 2010 and 2025.
Collaborative distances:
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Bibliography
2025
Pattern Recognit., 2025
2024
Predicting malignancy in breast lesions: enhancing accuracy with fine-tuned convolutional neural network models.
BMC Medical Imaging, December, 2024
IEEE Trans Autom. Sci. Eng., October, 2024
Data-Driven Distributed Learning Control for High-Speed Trains Considering Quantization Effects and Measurement Bias.
IEEE Trans. Veh. Technol., July, 2024
A Novel Accelerated Multistage Learning Control Mechanism via Virtual Performance Reduction.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Point-to-Point Learning Tracking Control via Fading Communication Using Reference Update Strategy.
IEEE Trans. Cybern., April, 2024
Distributed Learning Control for High-Speed Trains Subject to Operation Safety Constraints.
IEEE Trans. Cybern., March, 2024
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Collaborative control of a levitation module for maglev trains with physical contact prevention and user-defined convergence time.
Int. J. Syst. Sci., January, 2024
IEEE CAA J. Autom. Sinica, January, 2024
IEEE Intell. Transp. Syst. Mag., 2024
Observer-based sampled-data event-triggered tracking for nonlinear multi-agent systems with semi-Markovian switching topologies.
Inf. Sci., 2024
ISMSFuse: Multi-modal fusing recognition algorithm for rice bacterial blight disease adaptable in edge computing scenarios.
Comput. Electron. Agric., 2024
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
2023
Reducing the number of unnecessary biopsies for mammographic BI-RADS 4 lesions through a deep transfer learning method.
BMC Medical Imaging, December, 2023
Knowl. Based Syst., October, 2023
Point-to-Point Learning and Tracking for Networked Stochastic Systems With Fading Communications.
IEEE Trans. Syst. Man Cybern. Syst., June, 2023
Batch-Based Learning Consensus of Multiagent Systems With Faded Neighborhood Information.
IEEE Trans. Neural Networks Learn. Syst., June, 2023
IEEE Trans. Cybern., June, 2023
Practical Learning-Tracking Framework Under Unknown Nonrepetitive Channel Randomness.
IEEE Trans. Autom. Control., June, 2023
Adaptive Fixed-Time Antilock Control of Levitation System of High-Speed Maglev Train.
IEEE Trans. Intell. Veh., May, 2023
IEEE CAA J. Autom. Sinica, May, 2023
Decentralized learning control for large-scale systems with gain-adaptation mechanisms.
Inf. Sci., April, 2023
IEEE Trans. Autom. Control., March, 2023
Adaptive finite-time fuzzy control for hybrid levitation system of maglev trains with active anti-lock constraints.
J. Frankl. Inst., March, 2023
IEEE Trans. Cybern., 2023
Increasing the localization accuracy of visual SLAM with semantic segmentation and motion consistency detection in dynamic scenes.
J. Intell. Fuzzy Syst., 2023
ContentCTR: Frame-level Live Streaming Click-Through Rate Prediction with Multimodal Transformer.
CoRR, 2023
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
A Probabilistically Quantized Learning Control Framework for Networked Linear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2022
Iterative Learning Control for Output Tracking of Nonlinear Systems With Unavailable State Information.
IEEE Trans. Neural Networks Learn. Syst., 2022
Nonlinear Robust Composite Levitation Control for High-Speed EMS Trains With Input Saturation and Track Irregularities.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Ind. Electron., 2022
IEEE Trans. Ind. Electron., 2022
Zero-Error Tracking Control Under Unified Quantized Iterative Learning Framework via Encoding-Decoding Method.
IEEE Trans. Cybern., 2022
Noisy-Output-Based Direct Learning Tracking Control With Markov Nonuniform Trial Lengths Using Adaptive Gains.
IEEE Trans. Autom. Control., 2022
A high-order norm-product regularized multiple kernel learning framework for kernel optimization.
Inf. Sci., 2022
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset.
CoRR, 2022
Iterative learning based consensus control for distributed parameter type multi-agent differential inclusion systems with time-delay.
Comput. Math. Appl., 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 17th International Conference on Control, 2022
Proceedings of the 13th Asian Control Conference, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Image Process., 2021
Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification.
IEEE Trans. Image Process., 2021
Iterative Learning Tracking for Multisensor Systems: A Weighted Optimization Approach.
IEEE Trans. Cybern., 2021
Averaging Techniques for Balancing Learning and Tracking Abilities Over Fading Channels.
IEEE Trans. Autom. Control., 2021
Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss.
CoRR, 2021
2020
Performance Enhancement of Learning Tracking Systems Over Fading Channels With Multiplicative and Additive Randomness.
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Encoding-Decoding Mechanism-Based Finite-Level Quantized Iterative Learning Control With Random Data Dropouts.
IEEE Trans Autom. Sci. Eng., 2020
IEEE Trans. Autom. Control., 2020
A Two-Dimensional Approach to Iterative Learning Control with Randomly Varying Trial Lengths.
J. Syst. Sci. Complex., 2020
Iterative Learning Control for Locally Lipschitz Nonlinear Fractional-order Multi-agent Systems.
J. Frankl. Inst., 2020
Iterative learning control using faded measurements without system information: a gradient estimation approach.
Int. J. Syst. Sci., 2020
Glucose outcomes of a learning-type artificial pancreas with an unannounced meal in type 1 diabetes.
Comput. Methods Programs Biomed., 2020
Research on Optimization of Compensation Topology Parameters for a Wireless Power Transmission System With Wide Coupling Coefficient Fluctuation.
IEEE Access, 2020
2019
Adaptive Learning Control for Nonlinear Systems With Randomly Varying Iteration Lengths.
IEEE Trans. Neural Networks Learn. Syst., 2019
J. Frankl. Inst., 2019
J. Frankl. Inst., 2019
Adaptive iterative learning control for MIMO nonlinear systems performing iteration-varying tasks.
J. Frankl. Inst., 2019
Iterative learning control of multi-agent systems with random noises and measurement range limitations.
Int. J. Syst. Sci., 2019
IEEE CAA J. Autom. Sinica, 2019
A survey on iterative learning control with randomly varying trial lengths: Model, synthesis, and convergence analysis.
Annu. Rev. Control., 2019
Iterative learning control for differential inclusions of parabolic type with noninstantaneous impulses.
Appl. Math. Comput., 2019
IEEE Access, 2019
IEEE Access, 2019
Variable Gain Feedback PD<sup>α</sup>-Type Iterative Learning Control for Fractional Nonlinear Systems With Time-Delay.
IEEE Access, 2019
Improving Boundary Level Calculation in Quantized Iterative Learning Control With Encoding and Decoding Mechanism.
IEEE Access, 2019
Proceedings of the 2019 4th International Conference on Automation, 2019
2018
Unmanned Syst., 2018
Data-Driven Learning Control for Stochastic Nonlinear Systems: Multiple Communication Constraints and Limited Storage.
IEEE Trans. Neural Networks Learn. Syst., 2018
Adaptive learning tracking for uncertain systems with partial structure information and varying trial lengths.
J. Frankl. Inst., 2018
Iterative learning control for linear delay systems with deterministic and random impulses.
J. Frankl. Inst., 2018
Terminal iterative learning control for discrete-time nonlinear systems based on neural networks.
J. Frankl. Inst., 2018
IEEE CAA J. Autom. Sinica, 2018
Distributed learning consensus for heterogenous high-order nonlinear multi-agent systems with output constraints.
Autom., 2018
2017
Stochastic Point-to-Point Iterative Learning Tracking Without Prior Information on System Matrices.
IEEE Trans Autom. Sci. Eng., 2017
A Novel Markov Chain Based ILC Analysis for Linear Stochastic Systems Under General Data Dropouts Environments.
IEEE Trans. Autom. Control., 2017
Two novel iterative learning control schemes for systems with randomly varying trial lengths.
Syst. Control. Lett., 2017
Learning control for linear systems under general data dropouts at both measurement and actuator sides: A Markov chain approach.
J. Frankl. Inst., 2017
Two updating schemes of iterative learning control for networked control systems with random data dropouts.
Inf. Sci., 2017
Zero-error convergence of iterative learning control using quantized error information.
IMA J. Math. Control. Inf., 2017
Int. J. Syst. Sci., 2017
Learning control for discrete-time nonlinear systems with sensor saturation and measurement noises.
Int. J. Syst. Sci., 2017
Sci. China Inf. Sci., 2017
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Proceedings of the Cyberspace Safety and Security - 9th International Symposium, 2017
Zero-error tracking of iterative learning control using probabilistically quantized measurements.
Proceedings of the 11th Asian Control Conference, 2017
2016
Iterative Learning Control for discrete nonlinear systems with randomly iteration varying lengths.
Syst. Control. Lett., 2016
Reliable H<sub>∞</sub> control of discrete-time systems against random intermittent faults.
Int. J. Syst. Sci., 2016
On almost sure and mean square convergence of P-type ILC under randomly varying iteration lengths.
Autom., 2016
Proceedings of the Security and Privacy in Communication Networks, 2016
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2016
2015
ILC for networked nonlinear systems with unknown control direction through random Lossy channel.
Syst. Control. Lett., 2015
Reliable H∞ control for uncertain nonlinear discrete-time systems subject to multiple intermittent faults in sensors and/or actuators.
J. Frankl. Inst., 2015
Cooperative Sensor Selection Optimization and Power-Efficient Gathering for Multihop Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2015
Iterative learning control for networked stochastic systems with random packet losses.
Int. J. Control, 2015
Comput. Methods Programs Biomed., 2015
2014
ILC for networked nonlinear systems with random measurement losses and unknown control direction.
Proceedings of the 11th IEEE International Conference on Control & Automation, 2014
Proceedings of the 14th IEEE International Conference on Computer and Information Technology, 2014
2012
J. Netw. Syst. Manag., 2012
Autom., 2012
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012
2011
Iterative Learning Control With Unknown Control Direction: A Novel Data-Based Approach.
IEEE Trans. Neural Networks, 2011
2010
Proceedings of the Global Communications Conference, 2010