A Fourier-Legendre spectral element method in polar coordinates. - Zhouhua Qiu; Zhong Zeng; Huan Mei; Liang Li 007; Liping Yao; Liangqi Zhang (J. Comput. Phys., 2012)

An alternative lattice Boltzmann model for three-dimensional incompressible flow. - Liangqi Zhang; Zhong Zeng; Haiqiong Xie; Xutang Tao; Yongxiang Zhang; Yiyu Lu; Akira Yoshikawa; Yoshiyuki Kawazoe (Comput. Math. Appl., 2014)

A comparative study of lattice Boltzmann models for incompressible flow. - Liangqi Zhang; Zhong Zeng; Haiqiong Xie; Yongxiang Zhang; Yiyu Lu; Akira Yoshikawa; Hiroshi Mizuseki; Yoshiyuki Kawazoe (Comput. Math. Appl., 2014)

Alternative kinetic theory based lattice Boltzmann model for incompressible axisymmetric flows. - Liangqi Zhang; Shiliang Yang; Zhong Zeng; Liping Yao; Jia Wei Chew (Comput. Math. Appl., 2016)

A comparative study of the axisymmetric lattice Boltzmann models under the incompressible limit. - Liangqi Zhang; Shiliang Yang; Zhong Zeng; Jie Chen; Lingquan Wang; Jia Wei Chew (Comput. Math. Appl., 2017)

An alternative implementation of the kinetic theory based axisymmetric lattice Boltzmann model. - Liangqi Zhang; Shiliang Yang; Zhong Zeng; Jia Wei Chew (Comput. Math. Appl., 2018)

SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking. - Yihao Luo; Min Xu; Caihong Yuan; Xiang Cao; Liangqi Zhang; Yan Xu; Tianjiang Wang; Qi Feng 003 (ICANN (5), 2021)

DAEANet: Dual auto-encoder attention network for depth map super-resolution. - Xiang Cao; Yihao Luo; Xianyi Zhu; Liangqi Zhang; Yan Xu; Haibo Shen; Tianjiang Wang; Qi Feng 003 (Neurocomputing, 2021)

Non-destructive detection of highway hidden layer defects using a ground-penetrating radar and adaptive particle swarm support vector machine. - Xinyu Liu; Peiwen Hao; Aihui Wang; Liangqi Zhang; Bo Gu; Xinyan Lu (PeerJ Comput. Sci., 2021)

Kernel Estimation Network for Blind Super-Resolution. - Xiang Cao; Haibo Shen; Liangqi Zhang; Yihao Luo; Tianjiang Wang (ICASSP, 2022)

Efficient CNN Architecture Design Guided by Visualization. - Liangqi Zhang; Haibo Shen; Yihao Luo; Xiang Cao; Leixilan Pan; Tianjiang Wang; Qi Feng 003 (ICME, 2022)

Improved Regularization of Event-based Learning by Reversing and Drifting. - Haibo Shen; Yihao Luo; Xiang Cao; Liangqi Zhang; Juyu Xiao; Tianjiang Wang (CoRR, 2022)

Modeling Associative Plasticity between Synapses to Enhance Learning of Spiking Neural Networks. - Haibo Shen; Juyu Xiao; Yihao Luo; Xiang Cao; Liangqi Zhang; Tianjiang Wang (CoRR, 2022)

Training Stronger Spiking Neural Networks with Biomimetic Adaptive Internal Association Neurons. - Haibo Shen; Yihao Luo; Xiang Cao; Liangqi Zhang; Juyu Xiao; Tianjiang Wang (ICASSP, 2023)

Training Robust Spiking Neural Networks on Neuromorphic Data with Spatiotemporal Fragments. - Haibo Shen; Yihao Luo; Xiang Cao; Liangqi Zhang; Juyu Xiao; Tianjiang Wang (ICASSP, 2023)

Training Robust Spiking Neural Networks with Viewpoint Transform and Spatiotemporal Stretching. - Haibo Shen; Juyu Xiao; Yihao Luo; Xiang Cao; Liangqi Zhang; Tianjiang Wang (ICASSP, 2023)

Frequency and Scale Perspectives of Feature Extraction. - Liangqi Zhang; Yihao Luo; Xiang Cao; Haibo Shen; Tianjiang Wang (ICASSP, 2023)

Kinetic Theory-Based Methods in Fluid Dynamics. - Zhen Chen; Liangqi Zhang; Liming Yang (Entropy, 2023)

A Fourier Perspective of Feature Extraction and Adversarial Robustness. - Liangqi Zhang; Yihao Luo; Haibo Shen; Tianjiang Wang (IJCAI, 2024)

A highly accurate and robust finite volume-based phase field method for interfacial mass transfer in two-phase flows. - Yujian Wan; Liangqi Zhang; Liming Chen; Xiaoshuang Wang; Yao Xiao; Zhong Zeng (J. Comput. Phys., 2025)