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2020 – today
- 2024
[j16]Xiumin Li
, Mi Wen, Siying He, Rongxing Lu, Liangliang Wang:
A Privacy-Preserving Federated Learning Scheme Against Poisoning Attacks in Smart Grid. IEEE Internet Things J. 11(9): 16805-16816 (2024)- [j15]Xiumin Li, Minshan Tan:
The Impact of Digital Transformation on the Global Value Chain Position of the Guangdong-Hong Kong-Macao Greater Bay Area. Syst. 12(6): 223 (2024) - [j14]Xiumin Li, Zishuo Chen, Yaqi Chen:
The Impact of Digital Talent Inflow on the Co-Agglomeration of the Digital Economy Industry and Manufacturing. Syst. 12(8): 317 (2024) - [j13]Qing Chen, Xiumin Li, Anguo Zhang, Yongduan Song:
Neuroadaptive Tracking Control of Affine Nonlinear Systems Using Echo State Networks Embedded With Multiclustered Structure and Intrinsic Plasticity. IEEE Trans. Cybern. 54(2): 1133-1142 (2024) - 2023
- [j12]Kexin Chen, Hirak J. Kashyap, Jeffrey L. Krichmar, Xiumin Li:
What can computer vision learn from visual neuroscience? Introduction to the special issue. Biol. Cybern. 117(4): 297-298 (2023) - [j11]Li Ma, Xiumin Li, Yu Pan:
Global Industrial Chain Resilience Research: Theory and Measurement. Syst. 11(9): 466 (2023) - [j10]Anguo Zhang, Yueming Gao, Yuzhen Niu, Xiumin Li, Qing Chen:
Intrinsic Plasticity for Online Unsupervised Learning Based on Soft-Reset Spiking Neuron Model. IEEE Trans. Cogn. Dev. Syst. 15(2): 337-347 (2023) - [j9]Anguo Zhang, Junyi Wu, Xiumin Li, Hung Chun Li, Yueming Gao, Sio-Hang Pun:
Highway Connection for Low-Latency and High-Accuracy Spiking Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs 70(12): 4579-4583 (2023) - [c11]Siying He, Mi Wen, Xiumin Li, Zhou Su:
An Approach for Attack Scenario Construction Based on Dynamic Attack Path Graph. ICCC 2023: 1-6 - [c10]Xiumin Li, Mi Wen, Siying He, Rongxing Lu, Liangliang Wang:
A Scheme for Robust Federated Learning with Privacy-preserving Based on Krum AGR. ICCC 2023: 1-6 - [c9]Lan Yao, Tao Jiang, Xiumin Li, Jianwen Yin:
Reconfigurable Mobile Robots Robust Segment Reconfiguration Docking Strategy. IECON 2023: 1-6 - [c8]Wanyan Lin, Hao Yi, Xiumin Li:
Image Reconstruction and Recognition of Optical Flow Based on Local Feature Extraction Mechanism of Visual Cortex. NCAA (1) 2023: 18-32 - 2022
- [j8]Qing Chen, Kai Zhao, Xiumin Li, Yujuan Wang:
Asymptotic Tracking Control for Uncertain MIMO Systems: A Biologically Inspired ESN Approach. IEEE Trans. Neural Networks Learn. Syst. 33(5): 1881-1890 (2022) - [j7]Anguo Zhang, Xiumin Li, Yueming Gao, Yuzhen Niu:
Event-Driven Intrinsic Plasticity for Spiking Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(5): 1986-1995 (2022) - 2021
- [c7]Xiumin Li, Jie Yu, Wenqiang Xu:
A Computational Model Based on Neural Network of Visual Cortex with Conceptors for Image Classification. NCAA 2021: 115-127
2010 – 2019
- 2019
- [j6]Anguo Zhang, Hongjun Zhou, Xiumin Li, Wei Zhu:
Fast and robust learning in Spiking Feed-forward Neural Networks based on Intrinsic Plasticity mechanism. Neurocomputing 365: 102-112 (2019) - 2018
- [j5]Yong Ding, Bo Han, Huiyong Wang, Xiumin Li:
Ciphertext retrieval via attribute-based FHE in cloud computing. Soft Comput. 22(23): 7753-7761 (2018) - [c6]Shengyuan Luo, Hang Guan, Xiumin Li, Fangzheng Xue, Hongjun Zhou:
Improving liquid state machine in temporal pattern classification. ICARCV 2018: 88-91 - 2017
- [j4]Fangzheng Xue, Qian Li, Hongjun Zhou, Xiumin Li:
Reservoir Computing with Both Neuronal Intrinsic Plasticity and Multi-Clustered Structure. Cogn. Comput. 9(3): 400-410 (2017) - [j3]Xiumin Li, Hui Liu, Fangzheng Xue, Hongjun Zhou, Yongduan Song:
Liquid computing of spiking neural network with multi-clustered and active-neuron-dominant structure. Neurocomputing 243: 155-165 (2017) - [c5]Yong Ding, Xiumin Li:
Policy Based on Homomorphic Encryption and Retrieval Scheme in Cloud Computing. CSE/EUC (1) 2017: 568-571 - [c4]Fangzheng Xue, Xuyang Chen, Xiumin Li:
Real-Time Classification Through a Spiking Deep Belief Network with Intrinsic Plasticity. ISNN (1) 2017: 188-196 - [c3]Xiumin Li, Qing Chen, Fangzheng Xue, Hongjun Zhou:
The Critical Dynamics in Neural Network Improve the Computational Capability of Liquid State Machines. ISNN (1) 2017: 395-403 - 2016
- [c2]Xianlin Zhou, Yong Ding, Zhao Wang, Xiumin Li, Jun Ye, Zheng Xu:
Secure Outsourcing Algorithm of Polynomials in Cloud Computing. SEKE 2016: 46-51 - 2013
- [j2]Fangzheng Xue, Zhicheng Hou, Xiumin Li:
Computational capability of liquid state machines with spike-timing-dependent plasticity. Neurocomputing 122: 324-329 (2013)
2000 – 2009
- 2009
- [j1]Jin Zhou, Wenwu Yu, Xiumin Li, Michael Small, Junan Lu:
Identifying the Topology of a Coupled FitzHugh-Nagumo Neurobiological Network via a Pinning Mechanism. IEEE Trans. Neural Networks 20(10): 1679-1684 (2009) - 2007
- [c1]Jiang Wang, Xiumin Li, Feng Dong:
Comparisons of Chemical Synapses and Gap Junctions in the Stochastic Dynamics of Coupled Neurons. LSMS (2) 2007: 254-263
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