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2020 – today
- 2025
[j44]Xuxia He, Ruimei Zhang
, Puying Wang:
A New Attack Recovery Approach and H∞ Performance Analysis for LFC Systems With FDI Attacks and Uncertainties. IEEE Access 13: 23399-23411 (2025)- [j43]Bo Yang, Ruimei Zhang, Hong Peng, Chenggang Guo, Xiaohui Luo, Jun Wang, Xianzhong Long:
SLP-Net:An efficient lightweight network for segmentation of skin lesions. Biomed. Signal Process. Control. 101: 107242 (2025) - [j42]Ruimei Zhang, Hongxia Wang, Ju H. Park, Deqiang Zeng, Jianying Xiao:
Resilient Secure Synchronization for Complex Networks Under DoS Attacks: A New Switching Sampled-Data Control Protocol. IEEE Trans. Syst. Man Cybern. Syst. 55(2): 1492-1505 (2025) - 2024
- [j41]Di Dong, Ruimei Zhang, Yunjia Cheng, Lei Zhang, Xiangpeng Xie, Jianying Xiao:
Secure defense control for memristive recurrent neural networks under denial-of-service attacks with quantized sampled-data signals. Neural Comput. Appl. 36(11): 6147-6163 (2024) - [j40]Ruimei Zhang, Hongxia Wang, Ju H. Park, Deqiang Zeng, Jun Cheng:
Secure Distributed Control for Consensus of Multiple EL Systems Subject to DoS Attacks. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3879-3890 (2024) - 2023
- [j39]Yunjia Cheng, Ruimei Zhang, Yajuan Liu, Jianying Xiao:
Secure synchronization control for a class of complex time-Delay dynamic networks against denial-of-service attacks. J. Frankl. Inst. 360(11): 7535-7558 (2023) - [j38]Ruimei Zhang, Hongxia Wang, Ju H. Park, Peisong He, Xiangpeng Xie:
Event-Triggered Impulsive Fault-Tolerant Control for Memristor-Based RDNNs With Actuator Faults. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2993-3004 (2023) - [j37]Ruimei Zhang, Hongxia Wang, Ju H. Park, Kaibo Shi, Peisong He:
Mode-Dependent Adaptive Event-Triggered Control for Stabilization of Markovian Memristor-Based Reaction-Diffusion Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3939-3951 (2023) - [j36]Deqiang Zeng, Ruimei Zhang, Ju H. Park, Guo-Cheng Wu, Kaibo Shi, Xiangpeng Xie:
A New Estimation Method for Time-Space Sampled-Data Synchronization of RDNNs With Random Delays. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4302-4313 (2023) - [j35]Deqiang Zeng, Liping Yang, Ruimei Zhang, Ju H. Park, Zhilin Pu, Xiangpeng Xie:
A New Switching System Protocol for Synchronization in Probability of RDNNs With Stochastic Sampling. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4358-4369 (2023) - 2022
- [j34]Lijuan Chen, Binbin Li, Ruimei Zhang, Jinnan Luo, Chuanbo Wen, Shouming Zhong:
State estimation for memristive neural networks with mixed time-varying delays via multiple integral equality. Neurocomputing 501: 397-409 (2022) - [j33]Weichuang Li, Peisong He, Haoliang Li, Hongxia Wang, Ruimei Zhang:
Detection of GAN-Generated Images by Estimating Artifact Similarity. IEEE Signal Process. Lett. 29: 862-866 (2022) - [j32]Jianying Xiao, Jun Cheng, Kaibo Shi, Ruimei Zhang:
A General Approach to Fixed-Time Synchronization Problem for Fractional-Order Multidimension-Valued Fuzzy Neural Networks Based on Memristor. IEEE Trans. Fuzzy Syst. 30(4): 968-977 (2022) - [j31]Ruimei Zhang, Hongxia Wang, Ju H. Park, Peisong He, Deqiang Zeng, Xiangpeng Xie:
Fuzzy Secure Control for Nonlinear $N$-D Parabolic PDE-ODE Coupled Systems Under Stochastic Deception Attacks. IEEE Trans. Fuzzy Syst. 30(8): 3347-3359 (2022) - [j30]Ruimei Zhang, Hongxia Wang, Ju H. Park, Hak-Keung Lam, Peisong He:
Quasisynchronization of Reaction-Diffusion Neural Networks Under Deception Attacks. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7833-7844 (2022) - 2021
- [j29]Ruimei Zhang, Deqiang Zeng, Ju H. Park, Kaibo Shi, Yajuan Liu:
Stabilizability of complex complex-valued memristive neural networks using non-fragile sampled-data control. J. Frankl. Inst. 358(4): 2320-2345 (2021) - [j28]Peisong He, Hongxia Wang, Ruimei Zhang, Yue Li:
A Two-Stage Cascaded Detection Scheme for Double HEVC Compression Based on Temporal Inconsistency. Secur. Commun. Networks 2021: 5568351:1-5568351:14 (2021) - [j27]Ruimei Zhang, Deqiang Zeng, Ju H. Park, Hak-Keung Lam, Xiangpeng Xie:
Fuzzy Sampled-Data Control for Synchronization of T-S Fuzzy Reaction-Diffusion Neural Networks With Additive Time-Varying Delays. IEEE Trans. Cybern. 51(5): 2384-2397 (2021) - [j26]Ruimei Zhang, Deqiang Zeng, Ju H. Park, Hak-Keung Lam, Shouming Zhong:
Fuzzy Adaptive Event-Triggered Sampled-Data Control for Stabilization of T-S Fuzzy Memristive Neural Networks With Reaction-Diffusion Terms. IEEE Trans. Fuzzy Syst. 29(7): 1775-1785 (2021) - [j25]Peisong He, Haoliang Li, Hongxia Wang, Shiqi Wang, Xinghao Jiang, Ruimei Zhang:
Frame-Wise Detection of Double HEVC Compression by Learning Deep Spatio-Temporal Representations in Compression Domain. IEEE Trans. Multim. 23: 3179-3192 (2021) - [j24]Jianying Xiao, Jinde Cao, Jun Cheng, Shiping Wen, Ruimei Zhang, Shouming Zhong:
Novel Inequalities to Global Mittag-Leffler Synchronization and Stability Analysis of Fractional-Order Quaternion-Valued Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3700-3709 (2021) - [j23]Ruimei Zhang, Deqiang Zeng, Ju H. Park, Yajuan Liu, Xiangpeng Xie:
Adaptive Event-Triggered Synchronization of Reaction-Diffusion Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3723-3735 (2021) - 2020
- [j22]Peisong He, Haoliang Li, Hongxia Wang, Ruimei Zhang:
Detection of Computer Graphics Using Attention-Based Dual-Branch Convolutional Neural Network from Fused Color Components. Sensors 20(17): 4743 (2020) - [j21]Deqiang Zeng, Ruimei Zhang, Ju H. Park, Zhilin Pu, Yajuan Liu:
Pinning Synchronization of Directed Coupled Reaction-Diffusion Neural Networks With Sampled-Data Communications. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2092-2103 (2020)
2010 – 2019
- 2019
- [j20]Deqiang Zeng, Zhilin Pu, Ruimei Zhang, Shouming Zhong, Yajuan Liu, Guo-Cheng Wu:
Stochastic reliable synchronization for coupled Markovian reaction-diffusion neural networks with actuator failures and generalized switching policies. Appl. Math. Comput. 357: 88-106 (2019) - [j19]Ruimei Zhang, Deqiang Zeng, Ju H. Park, Shouming Zhong, Yajuan Liu, Xia Zhou:
New approaches to stability analysis for time-varying delay systems. J. Frankl. Inst. 356(7): 4174-4189 (2019) - [j18]Ruimei Zhang, Deqiang Zeng, Ju H. Park, Yajuan Liu, Shouming Zhong:
A New Approach to Stabilization of Chaotic Systems With Nonfragile Fuzzy Proportional Retarded Sampled-Data Control. IEEE Trans. Cybern. 49(9): 3218-3229 (2019) - [j17]Ruimei Zhang, Deqiang Zeng, Ju H. Park, Yajuan Liu, Shouming Zhong:
Pinning Event-Triggered Sampling Control for Synchronization of T-S Fuzzy Complex Networks With Partial and Discrete-Time Couplings. IEEE Trans. Fuzzy Syst. 27(12): 2368-2380 (2019) - [j16]Ruimei Zhang, Deqiang Zeng, Ju H. Park, Yajuan Liu, Shouming Zhong:
A New Approach to Stochastic Stability of Markovian Neural Networks With Generalized Transition Rates. IEEE Trans. Neural Networks Learn. Syst. 30(2): 499-510 (2019) - [j15]Ruimei Zhang, Deqiang Zeng, Xinzhi Liu, Shouming Zhong, Jun Cheng:
New Results on Stability Analysis for Delayed Markovian Generalized Neural Networks With Partly Unknown Transition Rates. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3384-3395 (2019) - 2018
- [j14]Deqiang Zeng, Ruimei Zhang, Xinzhi Liu, Shouming Zhong, Kaibo Shi:
Pinning stochastic sampled-data control for exponential synchronization of directed complex dynamical networks with sampled-data communications. Appl. Math. Comput. 337: 102-118 (2018) - [j13]Ruimei Zhang, Xinzhi Liu, Deqiang Zeng, Shouming Zhong, Kaibo Shi:
A novel approach to stability and stabilization of fuzzy sampled-data Markovian chaotic systems. Fuzzy Sets Syst. 344: 108-128 (2018) - [j12]Deqiang Zeng, Kai-Teng Wu, Ruimei Zhang, Shouming Zhong, Kaibo Shi:
Improved results on sampled-data synchronization of Markovian coupled neural networks with mode delays. Neurocomputing 275: 2845-2854 (2018) - [j11]Deqiang Zeng, Ruimei Zhang, Xinzhi Liu, Shouming Zhong, Kaibo Shi:
Improved results on synchronisation of delayed complex dynamical networks via sampled-data control. Int. J. Syst. Sci. 49(6): 1242-1255 (2018) - [j10]Ruimei Zhang, Ju H. Park, Deqiang Zeng, Yajuan Liu, Shouming Zhong:
A new method for exponential synchronization of memristive recurrent neural networks. Inf. Sci. 466: 152-169 (2018) - [j9]Ruimei Zhang, Deqiang Zeng, Ju H. Park, Shouming Zhong, Yongbin Yu:
Novel discontinuous control for exponential synchronization of memristive recurrent neural networks with heterogeneous time-varying delays. J. Frankl. Inst. 355(5): 2826-2848 (2018) - [j8]Ruimei Zhang, Deqiang Zeng, Ju H. Park, Yajuan Liu, Shouming Zhong:
Quantized Sampled-Data Control for Synchronization of Inertial Neural Networks With Heterogeneous Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6385-6395 (2018) - [j7]Ruimei Zhang, Deqiang Zeng, Ju H. Park, Yajuan Liu, Shouming Zhong:
Nonfragile Sampled-Data Synchronization for Delayed Complex Dynamical Networks With Randomly Occurring Controller Gain Fluctuations. IEEE Trans. Syst. Man Cybern. Syst. 48(12): 2271-2281 (2018) - [c2]Ruimei Zhang, Shouming Zhong, Deqiang Zeng:
Adaptive Control for Exponential Synchronization of Delayed Memristive Neural Networks. ICSAI 2018: 1-5 - 2017
- [j6]Ruimei Zhang, Deqiang Zeng, Shouming Zhong, Yongbin Yu:
Event-triggered sampling control for stability and stabilization of memristive neural networks with communication delays. Appl. Math. Comput. 310: 57-74 (2017) - [j5]Deqiang Zeng, Ruimei Zhang, Yajuan Liu, Shouming Zhong:
Sampled-data synchronization of chaotic Lur'e systems via input-delay-dependent-free-matrix zero equality approach. Appl. Math. Comput. 315: 34-46 (2017) - [j4]Deqiang Zeng, Ruimei Zhang, Shouming Zhong, Jun Wang, Kaibo Shi:
Sampled-data synchronization control for Markovian delayed complex dynamical networks via a novel convex optimization method. Neurocomputing 266: 606-618 (2017) - [j3]Ruimei Zhang, Deqiang Zeng, Shouming Zhong, Kaibo Shi:
Memory feedback PID control for exponential synchronisation of chaotic Lur'e systems. Int. J. Syst. Sci. 48(12): 2473-2484 (2017) - [j2]Ruimei Zhang, Deqiang Zeng, Shouming Zhong:
Novel master-slave synchronization criteria of chaotic Lur'e systems with time delays using sampled-data control. J. Frankl. Inst. 354(12): 4930-4954 (2017) - [j1]Deqiang Zeng, Ruimei Zhang, Shouming Zhong, Guowu Yang, Yongbin Yu, Kaibo Shi:
Novel Lebesgue-integral-based approach to improved results for neural networks with additive time-varying delay components. J. Frankl. Inst. 354(16): 7543-7565 (2017) - 2012
- [c1]Ruimei Zhang, Changcheng Liu, Chuandui Wang:
Research on connect 6 programming based on MTD(F) and Deeper-Always Transposition Table. CCIS 2012: 206-208
Coauthor Index
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last updated on 2025-03-10 20:48 CET by the dblp team
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