Robust model predictive control of nonlinear affine systems based on a two-layer recurrent neural network. - Zheng Yan 001; Jun Wang 002 (IJCNN, 2011)

A neurodynamic approach to bicriteria model predictive control of nonlinear affine systems based on a Goal Programming formulation. - Zheng Yan 001; Jun Wang 002 (IJCNN, 2012)

Model predictive control of autonomous underwater vehicles based on the simplified dual neural network. - Zheng Yan 001; Siu Fong Chung; Jun Wang 002 (SMC, 2012)

Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics Based on Feedforward and Recurrent Neural Networks. - Zheng Yan 001; Jun Wang 002 (IEEE Trans. Ind. Informatics, 2012)

A neurodynamic optimization approach to robust pole assignment for synthesizing piecewise linear control systems. - Xinyi Le; Zheng Yan 001; Jun Wang 002 (ICIA, 2013)

Stochastic model predictive control of Markov jump linear systems based on a two-layer recurrent neural network. - Zheng Yan 001; Jun Wang 002 (ICIA, 2013)

Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays. - Zhenyuan Guo; Jun Wang 002; Zheng Yan 001 (Neural Networks, 2013)

Neurodynamics-based robust eigenstructure assignment for second-order descriptor systems. - Xinyi Le; Zheng Yan 001; Jun Wang 002 (IJCNN, 2014)

Model predictive control of multi-robot formation based on the simplified dual neural network. - Xinzhe Wang; Zheng Yan 001; Jun Wang 002 (IJCNN, 2014)

Neurodynamics-based robust pole assignment for synthesizing second-order control systems via output feedback based on a convex feasibility problem reformulation. - Xinyi Le; Jun Wang 002; Zheng Yan 001 (INISTA, 2014)

Model Predictive Control of Linear Parameter Varying Systems Based on a Recurrent Neural Network. - Zheng Yan 001; Xinyi Le; Jun Wang 002 (TPNC, 2014)

A systematic method for analyzing robust stability of interval neural networks with time-delays based on stability criteria. - Zhenyuan Guo; Jun Wang 002; Zheng Yan 001 (Neural Networks, 2014)

A one-layer recurrent neural network for constrained nonsmooth invex optimization. - Guocheng Li; Zheng Yan 001; Jun Wang 002 (Neural Networks, 2014)

A collective neurodynamic optimization approach to bound-constrained nonconvex optimization. - Zheng Yan 001; Jun Wang 002; Guocheng Li (Neural Networks, 2014)

Attractivity Analysis of Memristor-Based Cellular Neural Networks With Time-Varying Delays. - Zhenyuan Guo; Jun Wang 002; Zheng Yan 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays. - Zhenyuan Guo; Jun Wang 002; Zheng Yan 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Robust Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics and Bounded Uncertainties Based on Neural Networks. - Zheng Yan 001; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Analysis and design of neurodynamic approaches to nonlinear and robust model predictive control. - Zheng Yan 001 (2014)

A one-layer recurrent neural network for constrained nonconvex optimization. - Guocheng Li; Zheng Yan 001; Jun Wang 002 (Neural Networks, 2015)

Nonlinear Model Predictive Control Based on Collective Neurodynamic Optimization. - Zheng Yan 001; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Global Exponential Synchronization of Two Memristor-Based Recurrent Neural Networks With Time Delays via Static or Dynamic Coupling. - Zhenyuan Guo; Jun Wang 002; Zheng Yan 001 (IEEE Trans. Syst. Man Cybern. Syst., 2015)

Tube-Based Robust Model Predictive Control of Nonlinear Systems via Collective Neurodynamic Optimization. - Zheng Yan 001; Xinyi Le; Jun Wang 002 (IEEE Trans. Ind. Electron., 2016)

A Collective Neurodynamic System for Distributed Optimization with Applications in Model Predictive Control. - Xinyi Le; Zheng Yan 001; Juntong Xi (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

A Collective Neurodynamic Approach to Constrained Global Optimization. - Zheng Yan 001; Jianchao Fan; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization. - Zheng Yan 001; Jie Lu 001; Guangquan Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Deep Multi-task Learning for Air Quality Prediction. - Bin Wang 045; Zheng Yan 001; Jie Lu 001; Guangquan Zhang 001; Tianrui Li 001 (ICONIP (5), 2018)

Explore Uncertainty in Residual Networks for Crowds Flow Prediction. - Bin Wang 045; Zheng Yan 001; Jie Lu 001; Guangquan Zhang 001; Tianrui Li 001 (IJCNN, 2018)

Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting. - Bin Wang 045; Zheng Yan 001; Huaishao Luo; Tianrui Li 001; Jie Lu 001; Guangquan Zhang 001 (CoRR, 2018)

Bayesian Deep Reinforcement Learning via Deep Kernel Learning. - Junyu Xuan; Jie Lu 001; Zheng Yan 001; Guangquan Zhang 001 (Int. J. Comput. Intell. Syst., 2018)

General memristor with applications in multilayer neural networks. - Shiping Wen 001; Xudong Xie; Zheng Yan 001; Tingwen Huang; Zhigang Zeng (Neural Networks, 2018)

Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting. - Bin Wang 045; Jie Lu 001; Zheng Yan 001; Huaishao Luo; Tianrui Li 001; Yu Zheng 004; Guangquan Zhang 001 (KDD, 2019)

Automatic Segmentation of Human Placenta Images With U-Net. - Mo Han; Yuwei Bao; Ziyan Sun; Shiping Wen 001; Liming Xia; Jingyang Zhao 002; Junfeng Du; Zheng Yan 001 (IEEE Access, 2019)

Multi-Label Image Classification by Feature Attention Network. - Zheng Yan 001; Weiwei Liu; Shiping Wen 001; Yin Yang 001 (IEEE Access, 2019)

Sparse fully convolutional network for face labeling. - Minghui Dong; Shiping Wen 001; Zhigang Zeng; Zheng Yan 001; Tingwen Huang (Neurocomputing, 2019)

Reconstruction of sparse signals via neurodynamic optimization. - Guocheng Li; Zheng Yan 001 (Int. J. Mach. Learn. Cybern., 2019)

Adjusting Learning Rate of Memristor-Based Multilayer Neural Networks via Fuzzy Method. - Shiping Wen 001; Shuixin Xiao; Yin Yang 001; Zheng Yan 001; Zhigang Zeng; Tingwen Huang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Data-Driven Decision-Making (D3M): Framework, Methodology, and Directions. - Jie Lu 001; Zheng Yan 001; Jialin Han; Guangquan Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Synchronization of discrete-time recurrent neural networks with time-varying delays via quantized sliding mode control. - Bo Sun 002; Yuting Cao; Zhenyuan Guo; Zheng Yan 001; Shiping Wen 001 (Appl. Math. Comput., 2020)

DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting. - Bin Wang 045; Tianrui Li 001; Zheng Yan 001; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2020)

Advances in deep neural information processing. - Dongbin Zhao; Shukai Duan 001; Zheng Yan 001; Cesare Alippi (Neurocomputing, 2020)

Quantized passification of delayed memristor-based neural networks via sliding model control. - Bo Sun 002; Yuting Cao; Zhenyuan Guo; Zheng Yan 001; Shiping Wen 001 (J. Frankl. Inst., 2020)

Designing pulse-coupled neural networks with spike-synchronization-dependent plasticity rule: image segmentation and memristor circuit application. - Xudong Xie; Shiping Wen 001; Zheng Yan 001; Tingwen Huang; Yiran Chen 001 (Neural Comput. Appl., 2020)

Training memristor-based multilayer neuromorphic networks with SGD, momentum and adaptive learning rates. - Zheng Yan 001; Jiadong Chen; Rui Hu; Tingwen Huang; Yiran Chen 001; Shiping Wen 001 (Neural Networks, 2020)

Global Stabilization of Memristive Neural Networks with Leakage and Time-Varying Delays Via Quantized Sliding-Mode Controller. - Yuting Cao; Bo Sun 002; Zhenyuan Guo; Tingwen Huang; Zheng Yan 001; Shiping Wen 001 (Neural Process. Lett., 2020)

Exploiting Implicit Influence From Information Propagation for Social Recommendation. - Fei Xiong; Weihan Shen; Hongshu Chen; Shirui Pan; Ximeng Wang; Zheng Yan 001 (IEEE Trans. Cybern., 2020)

Memristor-Based Design of Sparse Compact Convolutional Neural Network. - Shiping Wen 001; Huaqiang Wei; Zheng Yan 001; Zhenyuan Guo; Yin Yang 001; Tingwen Huang; Yiran Chen 001 (IEEE Trans. Netw. Sci. Eng., 2020)

PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior. - Tianyu Liu; Jie Lu 001; Zheng Yan 001; Guangquan Zhang 001 (CoRR, 2021)

TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework. - Bo Lyu; Shiping Wen 001; Zheng Yan 001; Kaibo Shi; Ke Li 001; Tingwen Huang (CoRR, 2021)

Statistical generalization performance guarantee for meta-learning with data dependent prior. - Tianyu Liu; Jie Lu 001; Zheng Yan 001; Guangquan Zhang 001 (Neurocomputing, 2021)

CKFO: Convolution Kernel First Operated Algorithm With Applications in Memristor-Based Convolutional Neural Network. - Shiping Wen 001; Jiadong Chen; Yingcheng Wu; Zheng Yan 001; Yuting Cao; Yin Yang 001; Tingwen Huang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Periodic Event-Triggered Synchronization of Multiple Memristive Neural Networks With Switching Topologies and Parameter Mismatch. - Shengbo Wang; Yuting Cao; Zhenyuan Guo; Zheng Yan 001; Shiping Wen 001; Tingwen Huang (IEEE Trans. Cybern., 2021)

Influence Spread in Geo-Social Networks: A Multiobjective Optimization Perspective. - Liang Wang 017; Zhiwen Yu 001; Fei Xiong; Dingqi Yang; Shirui Pan; Zheng Yan 001 (IEEE Trans. Cybern., 2021)

Sliding Mode Stabilization of Memristive Neural Networks With Leakage Delays and Control Disturbance. - Bo Sun 002; Yuting Cao; Zhenyuan Guo; Zheng Yan 001; Shiping Wen 001; Tingwen Huang; Yiran Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Multilabel Image Classification via Feature/Label Co-Projection. - Shiping Wen 001; Weiwei Liu; Yin Yang 001; Pan Zhou 001; Zhenyuan Guo; Zheng Yan 001; Yiran Chen 001; Tingwen Huang (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making. - Tianyu Liu; Jie Lu 001; Zheng Yan 001; Guangquan Zhang 001 (CoRR, 2022)

A quantile fusion methodology for deep forecasting. - Bin Wang 045; Jie Lu 001; Tianrui Li 001; Zheng Yan 001; Guangquan Zhang 001 (Neurocomputing, 2022)

Orthogonal Super Greedy Learning for Sparse Feedforward Neural Networks. - Lin Xu; Xiangyong Cao; Jing Yao 002; Zheng Yan 001 (IEEE Trans. Netw. Sci. Eng., 2022)

Game Physics Engine Using Optimised Geometric Algebra RISC-V Vector Extensions Code Using Fourier Series Data. - Ed Saribatir; Niko Zurstraßen; Dietmar Hildenbrand; Florian Stock; Atilio Morillo Piña; Frederic von Wegner; Zheng Yan 001; Shiping Wen 001; Matthew Arnold (CGI (4), 2023)

Improving proximal policy optimization with alpha divergence. - Haotian Xu; Zheng Yan 001; Junyu Xuan; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2023)

A Survey on the Control Lyapunov Function and Control Barrier Function for Nonlinear-Affine Control Systems. - Boqian Li; Shiping Wen 001; Zheng Yan 001; Guanghui Wen; Tingwen Huang (IEEE CAA J. Autom. Sinica, 2023)

Efficient Spectral Graph Convolutional Network Deployment on Memristive Crossbars. - Bo Lyu; Maher Hamdi; Yin Yang 001; Yuting Cao; Zheng Yan 001; Ke Li 001; Shiping Wen 001; Tingwen Huang (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints. - Chenglu Li; Hangjun Che; Man-Fai Leung; Cheng Liu 001; Zheng Yan 001 (Inf. Sci., 2023)

Adaptive multi-view subspace learning based on distributed optimization. - Wei Guo; Hangjun Che; Man-Fai Leung; Zheng Yan 001 (Internet Things, 2024)

Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective. - Tianyu Liu; Jie Lu 001; Zheng Yan 001; Guangquan Zhang 001 (IEEE Trans. Cybern., 2024)

Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering. - Yuzhu Dong; Hangjun Che; Man-Fai Leung; Cheng Liu 001; Zheng Yan 001 (Signal Process., 2024)

Tensor Factorization With Sparse and Graph Regularization for Fake News Detection on Social Networks. - Hangjun Che; Baicheng Pan; Man-Fai Leung; Yuting Cao; Zheng Yan 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Disentangling Stochastic PDE Dynamics for Unsupervised Video Prediction. - Xinheng Wu; Jie Lu 001; Zheng Yan 001; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization. - Jiyang Yu; Hangjun Che; Man-Fai Leung; Cheng Liu 001; Wenhui Wu; Zheng Yan 001 (Big Data Min. Anal., 2025)

Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization. - Shengbo Wang; Ke Li 001; Zheng Yan 001; Zhenyuan Guo; Song Zhu; Guanghui Wen; Shiping Wen 001 (CoRR, 2025)

Nonlinear Matrix Factorization With Cognitive Opinion Formation for Social Recommendation. - Fei Xiong; Xuelian Ni; Shirui Pan; Hongshu Chen; Liang Wang 017; Zheng Yan 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)