81 citations · 96 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 4 cited
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving
Jingzhi Tu, Gang Mei, Francesco Piccialli
Autonomous driving is the key technology of intelligent logistics in Industrial Internet of Things (IIoT). In autonomous driving, the appearance of incomplete point clouds losing g…
cs.SI2020★ 11 cited
KCoreMotif: An Efficient Graph Clustering Algorithm for Large Networks by Exploiting k-core Decomposition and Motifs
Gang Mei, Jingzhi Tu, Lei Xiao +1
Clustering analysis has been widely used in trust evaluation on various complex networks such as wireless sensors networks and online social networks. Spectral clustering is one of…
cs.LG2020★ 81 cited
Julia Language in Machine Learning: Algorithms, Applications, and Open Issues
Kaifeng Gao, Gang Mei, Francesco Piccialli +3
Machine learning is driving development across many fields in science and engineering. A simple and efficient programming language could accelerate applications of machine learning…