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Wei Dai 0004
Person information
- affiliation: China University of Mining Technology, School of Information and Electrical Engineering, Xuzhou, China
- affiliation (PhD 2014): Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
Other persons with the same name
- Wei Dai — disambiguation page
- Wei Dai 0001 — Imperial College London, Department of Electrical and Electronic Engineering, UK (and 2 more)
- Wei Dai 0002 — Agora.io, Inc. (and 1 more)
- Wei Dai 0003 — Petuum Inc., Pittsburgh, PA, USA (and 1 more)
- Wei Dai 0005 — Beihang University, School of Reliability and System Engineering, Beijing, China
- Wei Dai 0006 — New York University School of Medicine, NY, USA (and 1 more)
- Wei Dai 0007 — Microsoft Research, Redmond, WA, USA (and 1 more)
- Wei Dai 0008 — University of California, Santa Barbara, USA
- Wei Dai 0009 — Victoria University, Melbourne, Australia
- Wei Dai 0010 — University of California Irvine, Irvine, CA, USA
- Wei Dai 0011 — University of California, San Diego, USA
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2020 – today
- 2024
- [j48]Qirui Zhang, Wei Dai, Chunyu Yang, Xinkai Chen:
Vulnerability analysis for a class of nonlinear cyber-physical systems under stealthy attacks. Autom. 167: 111743 (2024) - [j47]Qianjin Wang, Wei Yang, Wei Dai, Xiaoping Ma:
A novel stochastic configuration network with enhanced feature extraction for industrial process modeling. Neurocomputing 594: 127833 (2024) - [j46]Jing Nan, Wei Dai, Dianhui Wang:
Stochastic configuration networks with improved supervisory mechanism. Inf. Sci. 677: 120885 (2024) - [j45]Shang Wu, Xin Liu, Gang Yu, Wei Dai:
Multi-target regression via stochastic configuration networks with modular stacked structure. Int. J. Mach. Learn. Cybern. 15(7): 2957-2972 (2024) - [j44]Chaoyao Wen, Ping Zhou, Wei Dai, Liang Dong, Tianyou Chai:
Online Sequential Sparse Robust Neural Networks With Random Weights for Imperfect Industrial Streaming Data Modeling. IEEE Trans Autom. Sci. Eng. 21(2): 1163-1175 (2024) - [j43]Ying Zhang, Lei Ma, Chunyu Yang, Guoqing Wang, Wei Dai:
Asynchronous Event-Triggered Control for Two-Time-Scale CPSs With Dual-Scale Channel: Dealing With Hybrid Attacks. IEEE Trans. Control. Netw. Syst. 11(2): 999-1011 (2024) - [j42]Xin Liu, Chen Wang, Wei Dai:
Probability-Based Identification of Hammerstein Systems With Asymmetric Noise Characteristics. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j41]Xin Liu, Chen Wang, Wei Dai:
Auxiliary Model and Key-Term Separation-Based Identification of Hammerstein OE System With Missing Outputs and Outliers. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j40]Jing Nan, Yan Qin, Anushiya Arunan, Wei Dai, Chau Yuen:
InterGCNet: An Interpolation Geometric Constructive Neural Network for Industrial Data Modeling. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j39]Lingzhi Zhang, Runze Lin, Lei Xie, Wei Dai, Hongye Su:
Event-Triggered Constrained Optimal Control for Organic Rankine Cycle Systems via Safe Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7126-7137 (2024) - [j38]Lingzhi Zhang, Lei Xie, Wei Dai, Shan Lu, Hongye Su:
Operational Optimal Tracking Control for Industrial Multirate Systems Subject to Unknown Disturbances. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 180-192 (2024) - [c3]Depeng Li, Tianqi Wang, Junwei Chen, Wei Dai, Zhigang Zeng:
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning. ICML 2024 - [i5]Depeng Li, Tianqi Wang, Junwei Chen, Wei Dai, Zhigang Zeng:
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning. CoRR abs/2406.02428 (2024) - 2023
- [j37]Jianguo Zhao, Chunyu Yang, Weinan Gao, Hamidreza Modares, Xinkai Chen, Wei Dai:
Linear quadratic tracking control of unknown systems: A two-phase reinforcement learning method. Autom. 148: 110761 (2023) - [j36]Wei Dai, Chuanfeng Ning, Shiyu Pei, Song Zhu, Xuesong Wang:
Orthogonal stochastic configuration networks with adaptive construction parameter for data analytics. Ind. Artif. Intell. 1(1) (2023) - [j35]Xinyu Zhou, Yanshuang Ao, Xinlu Wang, Xifeng Guo, Wei Dai:
Learning with privileged information for short-term photovoltaic power forecasting using stochastic configuration network. Inf. Sci. 619: 834-848 (2023) - [j34]Jing Nan, Chuanfeng Ning, Gang Yu, Wei Dai:
A lightweight fast human activity recognition method using hybrid unsupervised-supervised feature. Neural Comput. Appl. 35(14): 10109-10121 (2023) - [j33]Ying Zhang, Lei Ma, Chunyu Yang, Linna Zhou, Guoqing Wang, Wei Dai:
Formation Control for Multiple Quadrotors Under DoS Attacks via Singular Perturbation. IEEE Trans. Aerosp. Electron. Syst. 59(4): 4753-4762 (2023) - [j32]Qianjin Wang, Qiqiang Hong, Shang Wu, Wei Dai:
Multitarget Stochastic Configuration Network and Applications. IEEE Trans. Artif. Intell. 4(2): 338-348 (2023) - [j31]Zhenxing Xia, Meng-Jie Hu, Wei Dai, Huaicheng Yan, Xiaoping Ma:
Q-Learning-Based Multi-Rate Optimal Control for Process Industries. IEEE Trans. Circuits Syst. II Express Briefs 70(6): 2006-2010 (2023) - [j30]Guoqing Wang, Jiaxiang Zhao, Chunyu Yang, Lei Ma, Xiaoxiao Fan, Wei Dai:
Robust Kalman Filter for Systems With Colored Heavy-Tailed Process and Measurement Noises. IEEE Trans. Circuits Syst. II Express Briefs 70(11): 4256-4260 (2023) - [j29]Lei Ma, Chunyu Yang, Guoqing Wang, Wei Dai, Chenxiao Cai:
H∞ Control for a Class of Two-Time-Scale Cyber-Physical Systems: An Asynchronous Dynamic Event-Triggered Protocol. IEEE Trans. Cybern. 53(8): 5013-5023 (2023) - [j28]Lei Ma, Zhong Chu, Chunyu Yang, Guoqing Wang, Wei Dai:
Recursive Watermarking-Based Transient Covert Attack Detection for the Industrial CPS. IEEE Trans. Inf. Forensics Secur. 18: 1709-1719 (2023) - [j27]Chunyu Yang, Zhong Chu, Lei Ma, Guoqing Wang, Wei Dai:
Joint Watermarking-Based Replay Attack Detection for Industrial Process Operation Optimization Cyber-Physical Systems. IEEE Trans. Ind. Informatics 19(8): 8910-8922 (2023) - [i4]Jing Nan, Wei Dai, Guan Yuan, Ping Zhou:
An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application. CoRR abs/2307.00185 (2023) - [i3]Jing Nan, Yan Qin, Wei Dai, Chau Yuen:
LightGCNet: A Lightweight Geometric Constructive Neural Network for Data-Driven Soft sensors. CoRR abs/2312.12022 (2023) - 2022
- [j26]Guoqing Wang, Chunyu Yang, Lei Ma, Wei Dai:
Centralized and Distributed Robust State Estimation Over Sensor Networks Using Elliptical Distribution. IEEE Internet Things J. 9(21): 21825-21837 (2022) - [j25]Wei Dai, Langlong Ji, Dianhui Wang:
Federated stochastic configuration networks for distributed data analytics. Inf. Sci. 614: 51-70 (2022) - [j24]Wei Dai, Chuanfeng Ning, Jing Nan, Dianhui Wang:
Stochastic configuration networks for imbalanced data classification. Int. J. Mach. Learn. Cybern. 13(10): 2843-2855 (2022) - [j23]Wei Dai, Yanshuang Ao, Linna Zhou, Ping Zhou, Xuesong Wang:
Incremental learning paradigm with privileged information for random vector functional-link networks: IRVFL+. Neural Comput. Appl. 34(9): 6847-6859 (2022) - [j22]Ying Zhang, Lei Ma, Chunyu Yang, Wei Dai:
Reinforcement Learning-Based Sliding Mode Tracking Control for the Two-Time-Scale Systems: Dealing With Actuator Attacks. IEEE Trans. Circuits Syst. II Express Briefs 69(9): 3819-3823 (2022) - [j21]Kun Deng, Song Zhu, Wei Dai, Chunyu Yang, Shiping Wen:
New Criteria on Stability of Dynamic Memristor Delayed Cellular Neural Networks. IEEE Trans. Cybern. 52(6): 5367-5379 (2022) - [j20]Qianjin Wang, Wei Dai, Ping Lin, Ping Zhou:
Compact Incremental Random Weight Network for Estimating the Underground Airflow Quantity. IEEE Trans. Ind. Informatics 18(1): 426-436 (2022) - [j19]Jianguo Zhao, Chunyu Yang, Wei Dai, Weinan Gao:
Reinforcement Learning-Based Composite Optimal Operational Control of Industrial Systems With Multiple Unit Devices. IEEE Trans. Ind. Informatics 18(2): 1091-1101 (2022) - [j18]Wei Dai, Xinyu Zhou, Depeng Li, Song Zhu, Xuesong Wang:
Hybrid Parallel Stochastic Configuration Networks for Industrial Data Analytics. IEEE Trans. Ind. Informatics 18(4): 2331-2341 (2022) - [j17]Wei Dai, Tongyun Li, Lingzhi Zhang, Yao Jia, Huaicheng Yan:
Multi-Rate Layered Operational Optimal Control for Large-Scale Industrial Processes. IEEE Trans. Ind. Informatics 18(7): 4749-4761 (2022) - [j16]Lei Ma, Hongyu Liu, Linna Zhou, Chunyu Yang, Wei Dai, Guoqing Wang:
Security Control for Multi-Time-Scale CPSs Under DoS Attacks: An Improved Dynamic Event-Triggered Mechanism. IEEE Trans. Netw. Sci. Eng. 9(3): 1813-1826 (2022) - [j15]Xifeng Guo, Xinlu Wang, Yanshuang Ao, Wei Dai, Ye Gao:
Short-term photovoltaic power forecasting with adaptive stochastic configuration network ensemble. WIREs Data Mining Knowl. Discov. 12(6) (2022) - [i2]Yanshuang Ao, Xinyu Zhou, Wei Dai:
A New Learning Paradigm for Stochastic Configuration Network: SCN+. CoRR abs/2203.07068 (2022) - [i1]Wei Dai, Chuanfeng Ning, Shiyu Pei, Song Zhu, Xuesong Wang:
Orthogonal Stochastic Configuration Networks with Adaptive Construction Parameter for Data Analytics. CoRR abs/2205.13191 (2022) - 2021
- [j14]Wei Dai, Rui Zhang, Qianjin Wang, Yuhu Cheng, Xuesong Wang:
Two-Dimensional Broad Learning System for Data Analytic. IEEE Trans. Artif. Intell. 2(6): 594-607 (2021) - [j13]Wei Dai, Lingzhi Zhang, Jun Fu, Tianyou Chai, Xiaoping Ma:
Dual-Rate Adaptive Optimal Tracking Control for Dense Medium Separation Process Using Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4202-4216 (2021) - [j12]Ying Zhang, Lei Ma, Guoqing Wang, Chunyu Yang, Linna Zhou, Wei Dai:
Observer-Based Control for the Two-Time-Scale Cyber-Physical Systems: The Dual-Scale DoS Attacks Case. IEEE Trans. Netw. Sci. Eng. 8(4): 3369-3379 (2021) - 2020
- [j11]Qianjin Wang, Wei Dai, Xiaoping Ma, Zhigen Shang:
Driving amount based stochastic configuration network for industrial process modeling. Neurocomputing 394: 61-69 (2020) - [j10]Yongxiao Tian, Huaicheng Yan, Wei Dai, Shiming Chen, Xisheng Zhan:
Observed-Based Asynchronous Control of Linear Semi-Markov Jump Systems With Time-Varying Mode Emission Probabilities. IEEE Trans. Circuits Syst. 67-II(12): 3147-3151 (2020) - [c2]Zhe Liu, Yanzi Miao, Wei Dai, Yu Zhai:
Planning and Scheduling for Large-Scale Robot Networks: An Efficient and Comprehensive Approach. RCAR 2020: 26-31
2010 – 2019
- 2019
- [j9]Wei Dai, Depeng Li, Ping Zhou, Tianyou Chai:
Stochastic configuration networks with block increments for data modeling in process industries. Inf. Sci. 484: 367-386 (2019) - 2018
- [j8]Yajun Zhang, Yao Jia, Tianyou Chai, Dianhui Wang, Wei Dai, Jun Fu:
Data-Driven PID Controller and Its Application to Pulp Neutralization Process. IEEE Trans. Control. Syst. Technol. 26(3): 828-841 (2018) - 2017
- [j7]Wei Dai, Qixin Chen, Fei Chu, Xiaoping Ma, Tianyou Chai:
Robust Regularized Random Vector Functional Link Network and Its Industrial Application. IEEE Access 5: 16162-16172 (2017) - [j6]Fei Chu, Bangwu Dai, Wei Dai, Runda Jia, Xiaoping Ma, Fuli Wang:
Rapid Modeling Method for Performance Prediction of Centrifugal Compressor Based on Model Migration and SVM. IEEE Access 5: 21488-21496 (2017) - [j5]Wei Dai, Gang Huang, Fei Chu, Tianyou Chai:
Configurable Platform for Optimal-Setting Control of Grinding Processes. IEEE Access 5: 26722-26733 (2017) - [c1]Wei Dai, Fei Chu, Chunyu Yang, Ying Chen, Tianyou Chai:
Software platform for optimal setting control of complex industrial processes. ACC 2017: 4809-4814 - 2015
- [j4]Wei Dai, Qiang Liu, Tianyou Chai:
Particle size estimate of grinding processes using random vector functional link networks with improved robustness. Neurocomputing 169: 361-372 (2015) - [j3]Wei Dai, Tianyou Chai, Simon X. Yang:
Data-Driven Optimization Control for Safety Operation of Hematite Grinding Process. IEEE Trans. Ind. Electron. 62(5): 2930-2941 (2015) - 2014
- [j2]Shaowen Lu, Ping Zhou, Tianyou Chai, Wei Dai:
Modeling and Simulation of Whole Ball Mill Grinding Plant for Integrated Control. IEEE Trans Autom. Sci. Eng. 11(4): 1004-1019 (2014) - [j1]Ping Zhou, Wei Dai, Tianyou Chai:
Multivariable Disturbance Observer Based Advanced Feedback Control Design and Its Application to a Grinding Circuit. IEEE Trans. Control. Syst. Technol. 22(4): 1474-1485 (2014)
Coauthor Index
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last updated on 2024-10-30 20:33 CET by the dblp team
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