EMPT: a sparsity Transformer for EEG-based motor imagery recognition by Ming Liu, Yanbing Liu, Weiyou Shi, Yitai Lou, Yuan Sun, Qi Meng, Dezheng Wang, Fangzhou Xu, Yang Zhang, Lei Zhang, Jiancai Leng

“…The experiments prove that sparsity can be introduced to the Transformer neural network by introducing MoE and kullback-leibler divergence attention pooling mechanism, thereby enhancing its applicability on EEG datasets. …”
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Sparsity-Based Joint Array Calibration and Ambiguity Resolving for Forward-Looking Multi-Channel SAR Imagery by Jingyue Lu, Xuhua Wang, Yunhe Cao, Lei Zhang

“…This paper proposes a sparsity-based joint array calibration and ambiguity resolving method to enhance the robustness of FLMC-SAR imagery. …”
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Multi-features taxi destination prediction with frequency domain processing. by Lei Zhang, Guoxing Zhang, Zhizheng Liang, Ekene Frank Ozioko

“…However, the trajectory image may have noise and sparsity according to trajectory data characteristics. …”
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A Survey on Recommendation Methods Based on Social Relationships by Rui Chen, Kangning Pang, Min Huang, Hui Liang, Shizheng Zhang, Lei Zhang, Pu Li, Zhengwei Xia, Jianwei Zhang, Xiangjie Kong

“…To solve the problems of cold start and sparsity in RSs, many recommendation algorithms are constantly being proposed. …”
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Resolution Enhancement for Millimeter-Wave Radar ROI Image with Bayesian Compressive Sensing by Pengfei Xie, Jianxin Wu, Lei Zhang, Guanyong Wang, Xue Jin

“…In terms of enhancing the resolution of a region of interest (ROI) image containing suspicious targets, super-resolution (SR) imaging is adopted via Bayesian compressive sensing (BCS) implemented by fast Fourier transform (FFT). The spatial sparsity of MMW ROI images is well exploited with BCS to achieve resolution enhancement without computational cost. …”
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The Adaptive Quadratic Linear Unit (AQuLU): Adaptive Non Monotonic Piecewise Activation Function by Zhandong Wu, Haiye Yu, Lei Zhang, Yuanyuan Sui

“…With the hardening treatment of Φ(x), we propose an adaptive non-monotonic segmented activation function, called the adaptive quadratic linear unit, abbreviated as AQuLU, which ensures the sparsity of the input data and improves training efficiency. …”
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2-D Joint Sparse Reconstruction and Micro-Motion Parameter Estimation for Ballistic Target Based on Compressive Sensing by Jiaqi Wei, Shuai Shao, Lei Zhang, Hongwei Liu

“…With the accommodation of the CS theory, the 2D-JSR-MPE of the echo signal is transformed into solving a sparsity-driven optimization problem. Via an improved orthogonal matching pursuit (OMP) algorithm, the high-resolution range profiles (HRRP) can be reconstructed accurately, and the precise micro-motion curves can be simultaneously extracted on phase accuracy. …”
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Characteristics of Enhanced Heatwaves over Tanzania and Scenario Projection in the 21st Century by Amatus Gyilbag, Martial Amou, Roberto Xavier Supe Tulcan, Lei Zhang, Tsedale Demelash, Yinlong Xu

“…Ambient heatwaves accompanied by unusual droughts are major threats to poverty eradication in Tanzania. Due to sparsity of observation data and proper heatwave detection metrics, there has been a paucity of knowledge about heatwave events in Tanzania. …”
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