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ORCIDZheng Yan 0001
Person information
- affiliation: University of Technology Sydney, Centre for Artificial Intelligence, Broadway, NSW, Australia
- affiliation (former): Huawei Technologies Co., Ltd., Shannon Laboratory, Beijing, China
- affiliation (PhD 2014): Chinese University of Hong Kong, Hong Kong
Other persons with the same name
- Zheng Yan — disambiguation page
- Zheng Yan 0002
![[0000-0002-9697-2108]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9697-2108")
— Xidian University, School of Cyber Engineering, State Key Laboratory on Integrated Services Networks, Xi'an, China (and 3 more) - Zheng Yan 0003 — Shanghai Jiao Tong University, Department of Electrical Engineering, School of Electronics, Information and Electrical Engineering, China (and 1 more)
- Zheng Yan 0004 (aka: Zheng John Yan) — Jet.com/Walmart Labs, Hoboken, NJ, USA
- Zheng Yan 0005 — State University of New York at Albany, USA
- Zheng Yan 0006 — Yangtze University, Jingzhou, China (and 1 more)
- Zheng Yan 0007 — Meta Platforms, Inc., Menlo Park, CA, USA (and 1 more)
- Zheng Yan 0008 — Huawei Technologies Co., Ltd., Shenzhen, China
- Zheng Yan 0009 — Huaqiao University, Xiamen, Fujian, China
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2020 – today
- 2024
[j43]Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective. IEEE Trans. Cybern. 54(2): 962-973 (2024)- 2023
- [j42]Boqian Li, Shiping Wen, Zheng Yan, Guanghui Wen, Tingwen Huang:
A Survey on the Control Lyapunov Function and Control Barrier Function for Nonlinear-Affine Control Systems. IEEE CAA J. Autom. Sinica 10(3): 584-602 (2023) - [j41]Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu:
Improving proximal policy optimization with alpha divergence. Neurocomputing 534: 94-105 (2023) - [j40]Bo Lyu, Maher Hamdi, Yin Yang, Yuting Cao, Zheng Yan, Ke Li, Shiping Wen, Tingwen Huang:
Efficient Spectral Graph Convolutional Network Deployment on Memristive Crossbars. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 415-425 (2023) - 2022
- [j39]Bin Wang, Jie Lu, Tianrui Li, Zheng Yan, Guangquan Zhang:
A quantile fusion methodology for deep forecasting. Neurocomputing 483: 286-298 (2022) - [j38]Lin Xu, Xiangyong Cao, Jing Yao, Zheng Yan:
Orthogonal Super Greedy Learning for Sparse Feedforward Neural Networks. IEEE Trans. Netw. Sci. Eng. 9(1): 161-170 (2022) - [i4]Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making. CoRR abs/2210.08486 (2022) - 2021
- [j37]Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
Statistical generalization performance guarantee for meta-learning with data dependent prior. Neurocomputing 465: 391-405 (2021) - [j36]Shiping Wen, Jiadong Chen, Yingcheng Wu, Zheng Yan, Yuting Cao, Yin Yang, Tingwen Huang:
CKFO: Convolution Kernel First Operated Algorithm With Applications in Memristor-Based Convolutional Neural Network. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(8): 1640-1647 (2021) - [j35]Shengbo Wang, Yuting Cao, Zhenyuan Guo, Zheng Yan, Shiping Wen, Tingwen Huang:
Periodic Event-Triggered Synchronization of Multiple Memristive Neural Networks With Switching Topologies and Parameter Mismatch. IEEE Trans. Cybern. 51(1): 427-437 (2021) - [j34]Liang Wang, Zhiwen Yu, Fei Xiong, Dingqi Yang, Shirui Pan, Zheng Yan:
Influence Spread in Geo-Social Networks: A Multiobjective Optimization Perspective. IEEE Trans. Cybern. 51(5): 2663-2675 (2021) - [j33]Bo Sun, Yuting Cao, Zhenyuan Guo, Zheng Yan, Shiping Wen, Tingwen Huang, Yiran Chen:
Sliding Mode Stabilization of Memristive Neural Networks With Leakage Delays and Control Disturbance. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1254-1263 (2021) - [j32]Shiping Wen, Weiwei Liu, Yin Yang, Pan Zhou, Zhenyuan Guo, Zheng Yan, Yiran Chen, Tingwen Huang:
Multilabel Image Classification via Feature/Label Co-Projection. IEEE Trans. Syst. Man Cybern. Syst. 51(11): 7250-7259 (2021) - [i3]Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior. CoRR abs/2102.03748 (2021) - [i2]Bo Lyu, Shiping Wen, Zheng Yan, Kaibo Shi, Ke Li, Tingwen Huang:
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework. CoRR abs/2111.03892 (2021) - 2020
- [j31]Bo Sun, Yuting Cao, Zhenyuan Guo, Zheng Yan, Shiping Wen:
Synchronization of discrete-time recurrent neural networks with time-varying delays via quantized sliding mode control. Appl. Math. Comput. 375: 125093 (2020) - [j30]Bin Wang, Tianrui Li, Zheng Yan, Guangquan Zhang, Jie Lu:
DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting. Neurocomputing 397: 11-19 (2020) - [j29]Dongbin Zhao, Shukai Duan, Zheng Yan, Cesare Alippi:
Advances in deep neural information processing. Neurocomputing 408: 80-81 (2020) - [j28]Bo Sun, Yuting Cao, Zhenyuan Guo, Zheng Yan, Shiping Wen:
Quantized passification of delayed memristor-based neural networks via sliding model control. J. Frankl. Inst. 357(6): 3741-3752 (2020) - [j27]Xudong Xie, Shiping Wen, Zheng Yan, Tingwen Huang, Yiran Chen:
Designing pulse-coupled neural networks with spike-synchronization-dependent plasticity rule: image segmentation and memristor circuit application. Neural Comput. Appl. 32(17): 13441-13452 (2020) - [j26]Zheng Yan, Jiadong Chen, Rui Hu, Tingwen Huang, Yiran Chen, Shiping Wen:
Training memristor-based multilayer neuromorphic networks with SGD, momentum and adaptive learning rates. Neural Networks 128: 142-149 (2020) - [j25]Yuting Cao, Bo Sun, Zhenyuan Guo, Tingwen Huang, Zheng Yan, Shiping Wen:
Global Stabilization of Memristive Neural Networks with Leakage and Time-Varying Delays Via Quantized Sliding-Mode Controller. Neural Process. Lett. 52(3): 2451-2468 (2020) - [j24]Fei Xiong, Weihan Shen, Hongshu Chen, Shirui Pan, Ximeng Wang, Zheng Yan:
Exploiting Implicit Influence From Information Propagation for Social Recommendation. IEEE Trans. Cybern. 50(10): 4186-4199 (2020) - [j23]Shiping Wen, Huaqiang Wei, Zheng Yan, Zhenyuan Guo, Yin Yang, Tingwen Huang, Yiran Chen:
Memristor-Based Design of Sparse Compact Convolutional Neural Network. IEEE Trans. Netw. Sci. Eng. 7(3): 1431-1440 (2020)
2010 – 2019
- 2019
- [j22]Zheng Yan, Weiwei Liu, Shiping Wen, Yin Yang:
Multi-Label Image Classification by Feature Attention Network. IEEE Access 7: 98005-98013 (2019) - [j21]Mo Han, Yuwei Bao, Ziyan Sun, Shiping Wen, Liming Xia, Jingyang Zhao, Junfeng Du, Zheng Yan:
Automatic Segmentation of Human Placenta Images With U-Net. IEEE Access 7: 180083-180092 (2019) - [j20]Minghui Dong, Shiping Wen, Zhigang Zeng, Zheng Yan, Tingwen Huang:
Sparse fully convolutional network for face labeling. Neurocomputing 331: 465-472 (2019) - [j19]Guocheng Li, Zheng Yan:
Reconstruction of sparse signals via neurodynamic optimization. Int. J. Mach. Learn. Cybern. 10(1): 15-26 (2019) - [j18]Shiping Wen, Shuixin Xiao, Yin Yang, Zheng Yan, Zhigang Zeng, Tingwen Huang:
Adjusting Learning Rate of Memristor-Based Multilayer Neural Networks via Fuzzy Method. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(6): 1084-1094 (2019) - [j17]Jie Lu, Zheng Yan, Jialin Han, Guangquan Zhang:
Data-Driven Decision-Making (D3M): Framework, Methodology, and Directions. IEEE Trans. Emerg. Top. Comput. Intell. 3(4): 286-296 (2019) - [c13]Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang:
Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting. KDD 2019: 2087-2095 - 2018
- [j16]Junyu Xuan, Jie Lu, Zheng Yan, Guangquan Zhang:
Bayesian Deep Reinforcement Learning via Deep Kernel Learning. Int. J. Comput. Intell. Syst. 12(1): 164-171 (2018) - [j15]Shiping Wen, Xudong Xie, Zheng Yan, Tingwen Huang, Zhigang Zeng:
General memristor with applications in multilayer neural networks. Neural Networks 103: 142-149 (2018) - [c12]Zheng Yan, Jie Lu, Guangquan Zhang:
Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization. Australasian Conference on Artificial Intelligence 2018: 318-328 - [c11]Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li:
Deep Multi-task Learning for Air Quality Prediction. ICONIP (5) 2018: 93-103 - [c10]Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li:
Explore Uncertainty in Residual Networks for Crowds Flow Prediction. IJCNN 2018: 1-7 - [i1]Bin Wang, Zheng Yan, Huaishao Luo, Tianrui Li, Jie Lu, Guangquan Zhang:
Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting. CoRR abs/1812.09467 (2018) - 2017
- [j14]Xinyi Le, Zheng Yan, Juntong Xi:
A Collective Neurodynamic System for Distributed Optimization with Applications in Model Predictive Control. IEEE Trans. Emerg. Top. Comput. Intell. 1(4): 305-314 (2017) - [j13]Zheng Yan, Jianchao Fan, Jun Wang:
A Collective Neurodynamic Approach to Constrained Global Optimization. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1206-1215 (2017) - 2016
- [j12]Zheng Yan, Xinyi Le, Jun Wang:
Tube-Based Robust Model Predictive Control of Nonlinear Systems via Collective Neurodynamic Optimization. IEEE Trans. Ind. Electron. 63(7): 4377-4386 (2016) - 2015
- [j11]Guocheng Li, Zheng Yan, Jun Wang:
A one-layer recurrent neural network for constrained nonconvex optimization. Neural Networks 61: 10-21 (2015) - [j10]Zheng Yan, Jun Wang:
Nonlinear Model Predictive Control Based on Collective Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 26(4): 840-850 (2015) - [j9]Zhenyuan Guo, Jun Wang, Zheng Yan:
Global Exponential Synchronization of Two Memristor-Based Recurrent Neural Networks With Time Delays via Static or Dynamic Coupling. IEEE Trans. Syst. Man Cybern. Syst. 45(2): 235-249 (2015) - 2014
- [b1]Zheng Yan:
Analysis and design of neurodynamic approaches to nonlinear and robust model predictive control. Chinese University of Hong Kong, Hong Kong, 2014 - [j8]Guocheng Li, Zheng Yan, Jun Wang:
A one-layer recurrent neural network for constrained nonsmooth invex optimization. Neural Networks 50: 79-89 (2014) - [j7]Zhenyuan Guo, Jun Wang, Zheng Yan:
A systematic method for analyzing robust stability of interval neural networks with time-delays based on stability criteria. Neural Networks 54: 112-122 (2014) - [j6]Zheng Yan, Jun Wang, Guocheng Li:
A collective neurodynamic optimization approach to bound-constrained nonconvex optimization. Neural Networks 55: 20-29 (2014) - [j5]Zheng Yan, Jun Wang:
Robust Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics and Bounded Uncertainties Based on Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 25(3): 457-469 (2014) - [j4]Zhenyuan Guo, Jun Wang, Zheng Yan:
Attractivity Analysis of Memristor-Based Cellular Neural Networks With Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 25(4): 704-717 (2014) - [j3]Zhenyuan Guo, Jun Wang, Zheng Yan:
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 25(11): 2099-2109 (2014) - [c9]Xinyi Le, Zheng Yan, Jun Wang:
Neurodynamics-based robust eigenstructure assignment for second-order descriptor systems. IJCNN 2014: 2770-2775 - [c8]Xinzhe Wang, Zheng Yan, Jun Wang:
Model predictive control of multi-robot formation based on the simplified dual neural network. IJCNN 2014: 3161-3166 - [c7]Xinyi Le, Jun Wang, Zheng Yan:
Neurodynamics-based robust pole assignment for synthesizing second-order control systems via output feedback based on a convex feasibility problem reformulation. INISTA 2014: 1-6 - [c6]Zheng Yan, Xinyi Le, Jun Wang:
Model Predictive Control of Linear Parameter Varying Systems Based on a Recurrent Neural Network. TPNC 2014: 255-266 - 2013
- [j2]Zhenyuan Guo, Jun Wang, Zheng Yan:
Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays. Neural Networks 48: 158-172 (2013) - [c5]Zheng Yan, Jun Wang:
Stochastic model predictive control of Markov jump linear systems based on a two-layer recurrent neural network. ICIA 2013: 564-569 - [c4]Xinyi Le, Zheng Yan, Jun Wang:
A neurodynamic optimization approach to robust pole assignment for synthesizing piecewise linear control systems. ICIA 2013: 1334-1339 - 2012
- [j1]Zheng Yan, Jun Wang:
Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics Based on Feedforward and Recurrent Neural Networks. IEEE Trans. Ind. Informatics 8(4): 746-756 (2012) - [c3]Zheng Yan, Jun Wang:
A neurodynamic approach to bicriteria model predictive control of nonlinear affine systems based on a Goal Programming formulation. IJCNN 2012: 1-7 - [c2]Zheng Yan, Siu Fong Chung, Jun Wang:
Model predictive control of autonomous underwater vehicles based on the simplified dual neural network. SMC 2012: 2551-2556 - 2011
- [c1]Zheng Yan, Jun Wang:
Robust model predictive control of nonlinear affine systems based on a two-layer recurrent neural network. IJCNN 2011: 24-29
Coauthor Index
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last updated on 2024-04-19 19:29 CEST by the dblp team
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