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2020 – today
- 2023
[j24]Man Yao
, Hengyu Zhang, Guangshe Zhao, Xiyu Zhang, Dingheng Wang, Gang Cao, Guoqi Li:
Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition. Neural Networks 166: 410-423 (2023)- [j23]Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li:
Attention Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9393-9410 (2023) - [j22]Dingheng Wang, Bijiao Wu, Guangshe Zhao, Man Yao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li:
Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2205-2219 (2023) - [c9]Man Yao, Jiakui Hu, Guangshe Zhao, Yaoyuan Wang, Ziyang Zhang, Bo Xu, Guoqi Li:
Inherent Redundancy in Spiking Neural Networks. ICCV 2023: 16878-16888 - [i7]Man Yao, Yuhong Chou, Guangshe Zhao, Xiawu Zheng, Yonghong Tian, Bo Xu, Guoqi Li:
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network. CoRR abs/2305.12148 (2023) - [i6]Man Yao, Jiakui Hu, Guangshe Zhao, Yaoyuan Wang, Ziyang Zhang, Bo Xu, Guoqi Li:
Inherent Redundancy in Spiking Neural Networks. CoRR abs/2308.08227 (2023) - 2022
- [j21]Zhenzhi Wu, Zhihong Zhang, Huanhuan Gao, Jun Qin, Rongzhen Zhao, Guangshe Zhao, Guoqi Li:
Modeling learnable electrical synapse for high precision spatio-temporal recognition. Neural Networks 149: 184-194 (2022) - [i5]Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li:
Attention Spiking Neural Networks. CoRR abs/2209.13929 (2022) - 2021
- [j20]Donghyun Lee, Dingheng Wang, Yukuan Yang, Lei Deng, Guangshe Zhao, Guoqi Li:
QTTNet: Quantized tensor train neural networks for 3D object and video recognition. Neural Networks 141: 420-432 (2021) - [j19]Dingheng Wang, Guangshe Zhao, Hengnu Chen, Zhexian Liu, Lei Deng, Guoqi Li:
Nonlinear tensor train format for deep neural network compression. Neural Networks 144: 320-333 (2021) - [j18]Leitao Gao, Guangshe Zhao, Guoqi Li, Fanghong Guo, Fei Zeng:
Optimal Target Control of Complex Networks With Selectable Inputs. IEEE Trans. Control. Netw. Syst. 8(1): 212-221 (2021) - [c8]Man Yao, Huanhuan Gao, Guangshe Zhao, Dingheng Wang, Yihan Lin, Zhao-Xu Yang, Guoqi Li:
Temporal-wise Attention Spiking Neural Networks for Event Streams Classification. ICCV 2021: 10201-10210 - [i4]Man Yao, Huanhuan Gao, Guangshe Zhao, Dingheng Wang, Yihan Lin, Zhao-Xu Yang, Guoqi Li:
Temporal-wise Attention Spiking Neural Networks for Event Streams Classification. CoRR abs/2107.11711 (2021) - 2020
- [j17]Jian-Ming Bai, Guang-She Zhao, Hai-Jun Rong:
Novel direct remaining useful life estimation of aero-engines with randomly assigned hidden nodes. Neural Comput. Appl. 32(18): 14347-14358 (2020) - [j16]Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie:
Rethinking the performance comparison between SNNS and ANNS. Neural Networks 121: 294-307 (2020) - [j15]Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu:
Compressing 3DCNNs based on tensor train decomposition. Neural Networks 131: 215-230 (2020) - [j14]Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li:
Hybrid tensor decomposition in neural network compression. Neural Networks 132: 309-320 (2020) - [i3]Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li:
Hybrid Tensor Decomposition in Neural Network Compression. CoRR abs/2006.15938 (2020) - [i2]Dingheng Wang, Bijiao Wu, Guangshe Zhao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li:
Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs. CoRR abs/2008.09342 (2020)
2010 – 2019
- 2019
- [i1]Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu:
Lossless Compression for 3DCNNs Based on Tensor Train Decomposition. CoRR abs/1912.03647 (2019) - 2018
- [j13]Leitao Gao, Guangshe Zhao, Guoqi Li, Lei Deng, Fei Zeng:
Towards the minimum-cost control of target nodes in directed networks with linear dynamics. J. Frankl. Inst. 355(16): 8141-8157 (2018) - [j12]Jian-Ming Bai, Guangshe Zhao, Hai-Jun Rong, Xianhua Wang:
Seeker-Azimuth Determination with Gyro Rotor and Optoelectronic Sensors. Sensors 18(4): 1256 (2018) - [c7]Jian-Ming Bai, Guang-She Zhao, Hai-Jun Rong:
Data-Driven Fuzzy Controller Design for Hypersonic Vehicle. HPCC/SmartCity/DSS 2018: 1698-1703 - [c6]Guangshe Zhao, Leitao Gao, Guoqi Li, Yuming Liu, Jiangshuai Huang, Changyun Wen:
Leader-Follower Consensus over Directed Networks with Time-varying Nonlinear Multi-agents using Minimum Number of Leaders. ICCA 2018: 624-629 - 2017
- [j11]Zhao-Xu Yang, Guang-She Zhao, Guoqi Li, Hai-Jun Rong:
Matrix differentiation for capacity region of Gaussian multiple access channels under weighted total power constraint. Ann. des Télécommunications 72(11-12): 703-715 (2017) - [j10]Hai-Jun Rong, Zhao-Xu Yang, Pak-Kin Wong, Chi-Man Vong, Guang-She Zhao:
A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems. Neurocomputing 230: 332-344 (2017) - [c5]Zhao-Xu Yang, Hai-Jun Rong, Guang-She Zhao, Jing Yang:
Self-evolving kernel recursive least squares algorithm for control and prediction. EAIS 2017: 1-8 - 2016
- [j9]Zhao-Xu Yang, Guang-She Zhao, Hai-Jun Rong, Jing Yang:
Adaptive backstepping control for magnetic bearing system via feedforward networks with random hidden nodes. Neurocomputing 174: 109-120 (2016) - 2015
- [j8]Hai-Jun Rong, Jin-Tao Wei, Jian-Ming Bai, Guang-She Zhao, Yong-Qi Liang:
Adaptive neural control for a class of MIMO nonlinear systems with extreme learning machine. Neurocomputing 149: 405-414 (2015) - [j7]Guoqi Li, Changyun Wen, Wei Xing Zheng, Guangshe Zhao:
Iterative identification of block-oriented nonlinear systems based on biconvex optimization. Syst. Control. Lett. 79: 68-75 (2015) - [c4]Guang-She Zhao, Yi Xu, Guoqi Li, Zhao-Xu Yang:
An entropy-based method for estimating demographic trends. EAIS 2015: 1-8 - 2014
- [j6]Hai-Jun Rong, Sai Han, Guang-She Zhao:
Adaptive fuzzy control of aircraft wing-rock motion. Appl. Soft Comput. 14: 181-193 (2014) - [j5]Guoqi Li, Guangshe Zhao, Feng Yang:
Towards the online learning with Kernels in classification and regression. Evol. Syst. 5(1): 11-19 (2014) - [j4]Hai-Jun Rong, Ya-Xin Jia, Guang-She Zhao:
Aircraft recognition using modular extreme learning machine. Neurocomputing 128: 166-174 (2014) - [c3]Hai-Jun Rong, Rong-Jing Bao, Guang-She Zhao:
Model Reference Adaptive Neural Control for nonlinear systems based on Back-Propagation and Extreme Learning Machine. ISSNIP 2014: 1-6 - 2013
- [j3]Hai-Jun Rong, Guang-She Zhao:
Direct adaptive neural control of nonlinear systems with extreme learning machine. Neural Comput. Appl. 22(3-4): 577-586 (2013) - 2012
- [c2]Guoqi Li, Guangshe Zhao:
Online learning with kernels in classification and regression. EAIS 2012: 17-22 - 2011
- [j2]Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, Guang-She Zhao:
Extended sequential adaptive fuzzy inference system for classification problems. Evol. Syst. 2(2): 71-82 (2011) - [j1]Hai-Jun Rong, Suresh Sundaram, Guang-She Zhao:
Stable indirect adaptive neural controller for a class of nonlinear system. Neurocomputing 74(16): 2582-2590 (2011) - 2010
- [c1]Hai-Jun Rong, Guang-She Zhao:
Stable indirect adaptive fuzzy-neuro control for a class of nonlinear systems. FUZZ-IEEE 2010: 1-8
Coauthor Index
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