Zihan Fang

Orcid: 0000-0003-2009-9039

According to our database1, Zihan Fang authored at least 14 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Soil Classification Mapping Using a Combination of Semi-Supervised Classification and Stacking Learning (SSC-SL).
Remote. Sens., January, 2024

Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network.
Neural Networks, January, 2024

2023
DBO-Net: Differentiable bi-level optimization network for multi-view clustering.
Inf. Sci., May, 2023

FedSN: A General Federated Learning Framework over LEO Satellite Networks.
CoRR, 2023

A Four-Year Study of Student Contributions to OSS vs. OSS4SG with a Lightweight Intervention.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

DMRL-Net: Differentiable Multi-view Representation Learning Network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Graph Learning for Multi-Satellite based Spectrum Sensing.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

2022
Delay Compensated One-Way Time Synchronization in Distributed Wireless Sensor Networks.
IEEE Wirel. Commun. Lett., 2022

Digital Mapping of Soil Organic Carbon Based on Machine Learning and Regression Kriging.
Sensors, 2022

Landscape Classification System Based on RKM Clustering for Soil Survey UAV Images-Case Study of the Small Hilly Areas in Jurong City.
Sensors, 2022

Contrastive Consensus Graph Learning for Multi-View Clustering.
IEEE CAA J. Autom. Sinica, 2022

2020
Focus on the Visible Regions: Semantic-Guided Alignment Model for Occluded Person Re-Identification.
Sensors, 2020

An Initialization Method of Deep Q-network for Learning Acceleration of Robotic Grasp.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020


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