Jingzhi Tu

Julia language in machine learning: Algorithms, applications, and open issues

Kaifeng Gao, Gang Mei, Francesco Piccialli et al. · Computer Science Review · 2020 · 73 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution

Jingzhi Tu, Gang Mei, Zhengjing Ma et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2022 · 67 citations · Full text

Swin Transformer, Convolutional Neural Network, Image Analysis +15

A Deep Learning Approach for Long-Term Traffic Flow Prediction With Multifactor Fusion Using Spatiotemporal Graph Convolutional Network

Xiaoyu Qi, Gang Mei, Jingzhi Tu et al. · IEEE Transactions on Intelligent Transportation Systems · 2022 · 59 citations

Geometric Learning, Convolutional Neural Network, Engineering +18

Physics-Informed Neural Network Integrating PointNet-Based Adaptive Refinement for Investigating Crack Propagation in Industrial Applications

Jingzhi Tu, Chun Liu, Pian Qi · IEEE Transactions on Industrial Informatics · 2022 · 33 citations

Numerical Analysis, Industrial Applications, Engineering +21

An efficient graph clustering algorithm by exploiting k-core decomposition and motifs

Gang Mei, Jingzhi Tu, Lei Xiao et al. · Computers & Electrical Engineering · 2021 · 11 citations