Liangqi Zhang

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 18

Top Topics

Biologically Plausible

Lattice Boltzmann

Spiking Neural Networks

Top Venues

Comput. Math. Appl.

Publications

Zhen Chen, Liangqi Zhang, Liming Yang
Kinetic Theory-Based Methods in Fluid Dynamics. Entropy 25 (2) (2023)
Liangqi Zhang, Yihao Luo, Xiang Cao, Haibo Shen, Tianjiang Wang
Frequency and Scale Perspectives of Feature Extraction. CoRR (2023)
Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang
Training Robust Spiking Neural Networks with Viewpoint Transform and Spatiotemporal Stretching. ICASSP (2023)
Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang
Training Stronger Spiking Neural Networks with Biomimetic Adaptive Internal Association Neurons. ICASSP (2023)
Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang
Training Robust Spiking Neural Networks on Neuromorphic Data with Spatiotemporal Fragments. ICASSP (2023)
Liangqi Zhang, Yihao Luo, Xiang Cao, Haibo Shen, Tianjiang Wang
Frequency and Scale Perspectives of Feature Extraction. ICASSP (2023)
Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang
Training Robust Spiking Neural Networks with ViewPoint Transform and SpatioTemporal Stretching. CoRR (2023)
Xiang Cao, Haibo Shen, Liangqi Zhang, Yihao Luo, Tianjiang Wang
Kernel Estimation Network for Blind Super-Resolution. ICASSP (2022)
Liangqi Zhang, Haibo Shen, Yihao Luo, Xiang Cao, Leixilan Pan, Tianjiang Wang, Qi Feng
Efficient CNN Architecture Design Guided by Visualization. ICME (2022)
Liangqi Zhang, Haibo Shen, Yihao Luo, Xiang Cao, Leixilan Pan, Tianjiang Wang, Qi Feng
Efficient CNN Architecture Design Guided by Visualization. CoRR (2022)
Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang
Improved Regularization of Event-based Learning by Reversing and Drifting. CoRR (2022)
Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang
Modeling Associative Plasticity between Synapses to Enhance Learning of Spiking Neural Networks. CoRR (2022)
Yihao Luo, Min Xu, Caihong Yuan, Xiang Cao, Liangqi Zhang, Yan Xu, Tianjiang Wang, Qi Feng
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking. ICANN (5) (2021)
Xinyu Liu, Peiwen Hao, Aihui Wang, Liangqi Zhang, Bo Gu, Xinyan Lu
Non-destructive detection of highway hidden layer defects using a ground-penetrating radar and adaptive particle swarm support vector machine. PeerJ Comput. Sci. 7 (2021)
Xiang Cao, Yihao Luo, Xianyi Zhu, Liangqi Zhang, Yan Xu, Haibo Shen, Tianjiang Wang, Qi Feng
DAEANet: Dual auto-encoder attention network for depth map super-resolution. Neurocomputing 454 (2021)
Liangqi Zhang, Shiliang Yang, Zhong Zeng, Jia Wei Chew
An alternative implementation of the kinetic theory based axisymmetric lattice Boltzmann model. Comput. Math. Appl. 76 (6) (2018)
Liangqi Zhang, Shiliang Yang, Zhong Zeng, Jie Chen, Lingquan Wang, Jia Wei Chew
A comparative study of the axisymmetric lattice Boltzmann models under the incompressible limit. Comput. Math. Appl. 74 (4) (2017)
Liangqi Zhang, Shiliang Yang, Zhong Zeng, Liping Yao, Jia Wei Chew
Alternative kinetic theory based lattice Boltzmann model for incompressible axisymmetric flows. Comput. Math. Appl. 72 (11) (2016)
Liangqi Zhang, Zhong Zeng, Haiqiong Xie, Xutang Tao, Yongxiang Zhang, Yiyu Lu, Akira Yoshikawa, Yoshiyuki Kawazoe
An alternative lattice Boltzmann model for three-dimensional incompressible flow. Comput. Math. Appl. 68 (10) (2014)
Liangqi Zhang, Zhong Zeng, Haiqiong Xie, Yongxiang Zhang, Yiyu Lu, Akira Yoshikawa, Hiroshi Mizuseki, Yoshiyuki Kawazoe
A comparative study of lattice Boltzmann models for incompressible flow. Comput. Math. Appl. 68 (10) (2014)
Zhouhua Qiu, Zhong Zeng, Huan Mei, Liang Li, Liping Yao, Liangqi Zhang
A Fourier-Legendre spectral element method in polar coordinates. J. Comput. Phys. 231 (2) (2012)