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Zhengjing Ma
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2020 – today
- 2024
- [j8]Zhengjing Ma, Gang Mei
, Nengxiong Xu:
Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities. Artif. Intell. Rev. 57(6): 160 (2024) - 2023
- [j7]Zhengjing Ma
, Gang Mei
, Francesco Piccialli
:
An Attention-Based Cycle-Consistent Generative Adversarial Network for IoT Data Generation and Its Application in Smart Energy Systems. IEEE Trans. Ind. Informatics 19(4): 6170-6181 (2023) - [i2]Zhengjing Ma, Gang Mei:
Knowledge-infused Deep Learning Enables Interpretable Landslide Forecasting. CoRR abs/2307.08951 (2023) - 2022
- [j6]Zhengjing Ma
, Gang Mei
, Francesco Piccialli:
Deep Learning for Secure Communication in Cyber-Physical Systems. IEEE Internet Things Mag. 5(2): 63-68 (2022) - [j5]Zhengjing Ma
, Gang Mei
, Salvatore Cuomo
, Francesco Piccialli:
Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part B): 3433-3447 (2022) - [j4]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: 5662-5673 (2022) - 2021
- [j3]Jiayu Qin, Gang Mei
, Zhengjing Ma, Francesco Piccialli:
General Paradigm of Edge-Based Internet of Things Data Mining for Geohazard Prevention. Big Data 9(5): 373-389 (2021) - [j2]Zhengjing Ma
, Gang Mei
, Francesco Piccialli
:
Machine learning for landslides prevention: a survey. Neural Comput. Appl. 33(17): 10881-10907 (2021) - [j1]Zhengjing Ma
, Gang Mei
, Edoardo Prezioso
, Zhongjian Zhang, Nengxiong Xu:
A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data. Neural Comput. Appl. 33(21): 14441-14457 (2021) - [i1]Zhengjing Ma, Gang Mei, Salvatore Cuomo, Francesco Piccialli:
Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction. CoRR abs/2105.13125 (2021)
Coauthor Index
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