Lin Zhang

Orcid: 0000-0001-9419-9038

Affiliations:
  • Shandong University, School of Control Science and Engineering, Jinan, China (PhD 2024)


According to our database1, Lin Zhang authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
IGCN: A Provably Informative GCN Embedding for Semi-Supervised Learning With Extremely Limited Labels.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Dual-Graph Contrastive Learning for Unsupervised Person Reidentification.
IEEE Trans. Cogn. Dev. Syst., August, 2024

Imagery Overlap Block Compressive Sensing With Convex Optimization.
IEEE Trans. Intell. Transp. Syst., July, 2024

Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation.
Int. J. Comput. Vis., May, 2024

HairManip: High quality hair manipulation via hair element disentangling.
Pattern Recognit., March, 2024

Neighborhood-Aware Mutual Information Maximization for Source-Free Domain Adaptation.
IEEE Trans. Multim., 2024

Learning Common Semantics via Optimal Transport for Contrastive Multi-View Clustering.
IEEE Trans. Image Process., 2024

2023
Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks.
IEEE Trans. Medical Imaging, February, 2023

Unsupervised Embedding Learning With Mutual-Information Graph Convolutional Networks.
IEEE Trans. Multim., 2023

2022
H2GNN: Hierarchical-Hops Graph Neural Networks for Multi-Robot Exploration in Unknown Environments.
IEEE Robotics Autom. Lett., 2022

A Novel Framework based on Unknown Estimation via Principal Sub-space for Universal Domain Adaption.
CoRR, 2022

Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation.
CoRR, 2022

2021
A General Auxiliary Controller for Multi-agent Flocking.
Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021

Multi-robot Path Planning Based on Spatio-Temporal Information in Large-scale Unknown Environment.
Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021


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