Zheng Yan
Orcid: 0000-0003-3368-2100Affiliations:
- University of Technology Sydney, Centre for Artificial Intelligence, Broadway, NSW, Australia
- Huawei Technologies Co., Ltd., Shannon Laboratory, Beijing, China (former)
- Chinese University of Hong Kong, Hong Kong (PhD 2014)
According to our database1,
Zheng Yan
authored at least 61 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Cybern., February, 2024
2023
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023
A Survey on the Control Lyapunov Function and Control Barrier Function for Nonlinear-Affine Control Systems.
IEEE CAA J. Autom. Sinica, March, 2023
2022
IEEE Trans. Netw. Sci. Eng., 2022
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making.
CoRR, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Sliding Mode Stabilization of Memristive Neural Networks With Leakage Delays and Control Disturbance.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Cybern., 2021
Periodic Event-Triggered Synchronization of Multiple Memristive Neural Networks With Switching Topologies and Parameter Mismatch.
IEEE Trans. Cybern., 2021
CKFO: Convolution Kernel First Operated Algorithm With Applications in Memristor-Based Convolutional Neural Network.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021
Statistical generalization performance guarantee for meta-learning with data dependent prior.
Neurocomputing, 2021
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework.
CoRR, 2021
2020
IEEE Trans. Netw. Sci. Eng., 2020
Exploiting Implicit Influence From Information Propagation for Social Recommendation.
IEEE Trans. Cybern., 2020
Global Stabilization of Memristive Neural Networks with Leakage and Time-Varying Delays Via Quantized Sliding-Mode Controller.
Neural Process. Lett., 2020
Training memristor-based multilayer neuromorphic networks with SGD, momentum and adaptive learning rates.
Neural Networks, 2020
Designing pulse-coupled neural networks with spike-synchronization-dependent plasticity rule: image segmentation and memristor circuit application.
Neural Comput. Appl., 2020
Quantized passification of delayed memristor-based neural networks via sliding model control.
J. Frankl. Inst., 2020
DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting.
Neurocomputing, 2020
Synchronization of discrete-time recurrent neural networks with time-varying delays via quantized sliding mode control.
Appl. Math. Comput., 2020
2019
Data-Driven Decision-Making (D<sup>3</sup>M): Framework, Methodology, and Directions.
IEEE Trans. Emerg. Top. Comput. Intell., 2019
Adjusting Learning Rate of Memristor-Based Multilayer Neural Networks via Fuzzy Method.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
Int. J. Mach. Learn. Cybern., 2019
Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Neural Networks, 2018
Int. J. Comput. Intell. Syst., 2018
CoRR, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
A Collective Neurodynamic System for Distributed Optimization with Applications in Model Predictive Control.
IEEE Trans. Emerg. Top. Comput. Intell., 2017
2016
Tube-Based Robust Model Predictive Control of Nonlinear Systems via Collective Neurodynamic Optimization.
IEEE Trans. Ind. Electron., 2016
2015
Global Exponential Synchronization of Two Memristor-Based Recurrent Neural Networks With Time Delays via Static or Dynamic Coupling.
IEEE Trans. Syst. Man Cybern. Syst., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Neural Networks, 2015
2014
Analysis and design of neurodynamic approaches to nonlinear and robust model predictive control.
PhD thesis, 2014
Robust Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics and Bounded Uncertainties Based on Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2014
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2014
Attractivity Analysis of Memristor-Based Cellular Neural Networks With Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2014
A collective neurodynamic optimization approach to bound-constrained nonconvex optimization.
Neural Networks, 2014
Neural Networks, 2014
A systematic method for analyzing robust stability of interval neural networks with time-delays based on stability criteria.
Neural Networks, 2014
Model Predictive Control of Linear Parameter Varying Systems Based on a Recurrent Neural Network.
Proceedings of the Theory and Practice of Natural Computing, 2014
Neurodynamics-based robust pole assignment for synthesizing second-order control systems via output feedback based on a convex feasibility problem reformulation.
Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014
Model predictive control of multi-robot formation based on the simplified dual neural network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Neurodynamics-based robust eigenstructure assignment for second-order descriptor systems.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays.
Neural Networks, 2013
Stochastic model predictive control of Markov jump linear systems based on a two-layer recurrent neural network.
Proceedings of the IEEE International Conference on Information and Automation, 2013
A neurodynamic optimization approach to robust pole assignment for synthesizing piecewise linear control systems.
Proceedings of the IEEE International Conference on Information and Automation, 2013
2012
Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics Based on Feedforward and Recurrent Neural Networks.
IEEE Trans. Ind. Informatics, 2012
Model predictive control of autonomous underwater vehicles based on the simplified dual neural network.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
A neurodynamic approach to bicriteria model predictive control of nonlinear affine systems based on a Goal Programming formulation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Robust model predictive control of nonlinear affine systems based on a two-layer recurrent neural network.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011