Guang-She Zhao

According to our database, Guang-She Zhao authored at least 36 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition.

Man Yao, Hengyu Zhang, Guangshe Zhao, Xiyu Zhang, Dingheng Wang, Gang Cao, Guoqi Li

Neural Networks, September, 2023

Attention Spiking Neural Networks.

Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs.

Dingheng Wang, Bijiao Wu, Guangshe Zhao, Man Yao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network.

Man Yao, Yuhong Chou, Guangshe Zhao, Xiawu Zheng, Yonghong Tian, Bo Xu, Guoqi Li

CoRR, 2023

Inherent Redundancy in Spiking Neural Networks.

Man Yao, Jiakui Hu, Guangshe Zhao, Yaoyuan Wang, Ziyang Zhang, Bo Xu, Guoqi Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Modeling learnable electrical synapse for high precision spatio-temporal recognition.

Zhenzhi Wu, Zhihong Zhang, Huanhuan Gao, Jun Qin, Rongzhen Zhao, Guangshe Zhao, Guoqi Li

Neural Networks, 2022

2021

Optimal Target Control of Complex Networks With Selectable Inputs.

Leitao Gao, Guangshe Zhao, Guoqi Li, Fanghong Guo, Fei Zeng

IEEE Trans. Control. Netw. Syst., 2021

Nonlinear tensor train format for deep neural network compression.

Dingheng Wang, Guangshe Zhao, Hengnu Chen, Zhexian Liu, Lei Deng, Guoqi Li

Neural Networks, 2021

QTTNet: Quantized tensor train neural networks for 3D object and video recognition.

Donghyun Lee, Dingheng Wang, Yukuan Yang, Lei Deng, Guangshe Zhao, Guoqi Li

Neural Networks, 2021

Temporal-wise Attention Spiking Neural Networks for Event Streams Classification.

Man Yao, Huanhuan Gao, Guangshe Zhao, Dingheng Wang, Yihan Lin, Zhao-Xu Yang, Guoqi Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Hybrid tensor decomposition in neural network compression.

Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li

Neural Networks, 2020

Compressing 3DCNNs based on tensor train decomposition.

Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu

Neural Networks, 2020

Rethinking the performance comparison between SNNS and ANNS.

Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie

Neural Networks, 2020

Novel direct remaining useful life estimation of aero-engines with randomly assigned hidden nodes.

Jian-Ming Bai, Guang-She Zhao, Hai-Jun Rong

Neural Comput. Appl., 2020

Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs.

Dingheng Wang, Bijiao Wu, Guangshe Zhao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li

CoRR, 2020

2019

Lossless Compression for 3DCNNs Based on Tensor Train Decomposition.

Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu

CoRR, 2019

2018

Seeker-Azimuth Determination with Gyro Rotor and Optoelectronic Sensors.

Jian-Ming Bai, Guangshe Zhao, Hai-Jun Rong, Xianhua Wang

Sensors, 2018

Towards the minimum-cost control of target nodes in directed networks with linear dynamics.

Leitao Gao, Guangshe Zhao, Guoqi Li, Lei Deng, Fei Zeng

J. Frankl. Inst., 2018

Leader-Follower Consensus over Directed Networks with Time-varying Nonlinear Multi-agents using Minimum Number of Leaders.

Guangshe Zhao, Leitao Gao, Guoqi Li, Yuming Liu, Jiangshuai Huang, Changyun Wen

Proceedings of the 14th IEEE International Conference on Control and Automation, 2018

Data-Driven Fuzzy Controller Design for Hypersonic Vehicle.

Jian-Ming Bai, Guang-She Zhao, Hai-Jun Rong

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

2017

A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems.

Hai-Jun Rong, Zhao-Xu Yang, Pak-Kin Wong, Chi-Man Vong, Guang-She Zhao

Neurocomputing, 2017

Matrix differentiation for capacity region of Gaussian multiple access channels under weighted total power constraint.

Zhao-Xu Yang, Guang-She Zhao, Guoqi Li, Hai-Jun Rong

Ann. des Télécommunications, 2017

Self-evolving kernel recursive least squares algorithm for control and prediction.

Zhao-Xu Yang, Hai-Jun Rong, Guang-She Zhao, Jing Yang

Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

2016

Adaptive backstepping control for magnetic bearing system via feedforward networks with random hidden nodes.

Zhao-Xu Yang, Guang-She Zhao, Hai-Jun Rong, Jing Yang

Neurocomputing, 2016

2015

Iterative identification of block-oriented nonlinear systems based on biconvex optimization.

Guoqi Li, Changyun Wen, Wei Xing Zheng, Guangshe Zhao

Syst. Control. Lett., 2015

Adaptive neural control for a class of MIMO nonlinear systems with extreme learning machine.

Hai-Jun Rong, Jin-Tao Wei, Jian-Ming Bai, Guang-She Zhao, Yong-Qi Liang

Neurocomputing, 2015

An entropy-based method for estimating demographic trends.

Guang-She Zhao, Yi Xu, Guoqi Li, Zhao-Xu Yang

Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

2014

Aircraft recognition using modular extreme learning machine.

Hai-Jun Rong, Ya-Xin Jia, Guang-She Zhao

Neurocomputing, 2014

Towards the online learning with Kernels in classification and regression.

Guoqi Li, Guangshe Zhao, Feng Yang

Evol. Syst., 2014

Adaptive fuzzy control of aircraft wing-rock motion.

Hai-Jun Rong, Sai Han, Guang-She Zhao

Appl. Soft Comput., 2014

Model Reference Adaptive Neural Control for nonlinear systems based on Back-Propagation and Extreme Learning Machine.

Hai-Jun Rong, Rong-Jing Bao, Guang-She Zhao

Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

2013

Direct adaptive neural control of nonlinear systems with extreme learning machine.

Hai-Jun Rong, Guang-She Zhao

Neural Comput. Appl., 2013

2012

Online learning with kernels in classification and regression.

Guoqi Li, Guangshe Zhao

Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

2011

Stable indirect adaptive neural controller for a class of nonlinear system.

Hai-Jun Rong, Suresh Sundaram, Guang-She Zhao

Neurocomputing, 2011

Extended sequential adaptive fuzzy inference system for classification problems.

Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, Guang-She Zhao

Evol. Syst., 2011

2010

Stable indirect adaptive fuzzy-neuro control for a class of nonlinear systems.

Hai-Jun Rong, Guang-She Zhao

Proceedings of the FUZZ-IEEE 2010, 2010