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Jingzhi Tu
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 11
Top Topics
Traffic Flow
Convolutional Network
Spatial Interpolation
Deep Learning
Top Venues
CoRR
Comput. Electr. Eng.
Comput. Sci. Rev.
IEEE Trans. Ind. Informatics
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Publications
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Xiaoyu Qi
,
Gang Mei
,
Jingzhi Tu
,
Ning Xi
,
Francesco Piccialli
A Deep Learning Approach for Long-Term Traffic Flow Prediction With Multifactor Fusion Using Spatiotemporal Graph Convolutional Network.
IEEE Trans. Intell. Transp. Syst.
24 (8) (2023)
Jingzhi Tu
,
Chun Liu
,
Pian Qi
Physics-Informed Neural Network Integrating PointNet-Based Adaptive Refinement for Investigating Crack Propagation in Industrial Applications.
IEEE Trans. Ind. Informatics
19 (2) (2023)
Jingzhi Tu
,
Gang Mei
,
Zhengjing Ma
,
Francesco Piccialli
SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
15 (2022)
Jingzhi Tu
,
Gang Mei
,
Francesco Piccialli
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving Vehicles.
J. Grid Comput.
20 (3) (2022)
Jingzhi Tu
,
Gang Mei
,
Francesco Piccialli
-core decomposition as a sampling strategy for large networks.
J. King Saud Univ. Comput. Inf. Sci.
34 (6 Part B) (2022)
Gang Mei
,
Jingzhi Tu
,
Lei Xiao
,
Francesco Piccialli
-core decomposition and motifs.
Comput. Electr. Eng.
96 (Part) (2021)
Jingzhi Tu
,
Gang Mei
,
Francesco Piccialli
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving.
CoRR
(2021)
Jingzhi Tu
,
Guoxiang Yang
,
Pian Qi
,
Zengyu Ding
,
Gang Mei
Comparative investigation of parallel spatial interpolation algorithms for building large-scale digital elevation models.
PeerJ Comput. Sci.
6 (2020)
Kaifeng Gao
,
Gang Mei
,
Francesco Piccialli
,
Salvatore Cuomo
,
Jingzhi Tu
,
Zenan Huo
Julia language in machine learning: Algorithms, applications, and open issues.
Comput. Sci. Rev.
37 (2020)
Kaifeng Gao
,
Jingzhi Tu
,
Zenan Huo
,
Gang Mei
,
Francesco Piccialli
,
Salvatore Cuomo
Julia Language in Machine Learning: Algorithms, Applications, and Open Issues.
CoRR
(2020)
Gang Mei
,
Jingzhi Tu
,
Lei Xiao
,
Francesco Piccialli
KCoreMotif: An Efficient Graph Clustering Algorithm for Large Networks by Exploiting k-core Decomposition and Motifs.
CoRR
(2020)