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researcher

Jingzhi Tu

3 papers hereh-index 7262 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.SI1

identity via Semantic Scholar / OpenAlex

most citedJulia Language in Machine Learning: Algorithms, Applications, and Open Issues

81 citations · 96 across the 3 of their papers we have counts for

collaborators

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.