Weiran Li

Orcid: 0000-0003-3987-9166

According to our database1, Weiran Li authored at least 14 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Graph embedding-based heterogeneous domain adaptation with domain-invariant feature learning and distributional order preserving.
Neural Networks, 2024

Deep learning in multiple animal tracking: A survey.
Comput. Electron. Agric., 2024

TFMFT: Transformer-based multiple fish tracking.
Comput. Electron. Agric., 2024

"Hyper Photography" Artifact: An interactive aesthetic education experience device designed based on AIGC.
Proceedings of the IEEE World AI IoT Congress, 2024

2023
Dynamic fry counting based on multi-object tracking and one-stage detection.
Comput. Electron. Agric., June, 2023

A lightweight network for portable fry counting devices.
Appl. Soft Comput., March, 2023

2022
An empirical study of fault diagnosis methods of a dissolved oxygen sensor based on ResNet-50.
Int. J. Sens. Networks, 2022

LFCNet: A lightweight fish counting model based on density map regression.
Comput. Electron. Agric., 2022

CMFTNet: Multiple fish tracking based on counterpoised JointNet.
Comput. Electron. Agric., 2022

A Non-Associated MSCC Model for Simulating Structured and Destructured Clays.
Proceedings of the SIGGRAPH Asia 2022 Posters, 2022

A Facial Expression Synthesis Method Based on Generative Adversarial Network.
Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

2019
CR-U-Net: Cascaded U-Net with Residual Mapping for Liver Segmentation in CT Images<sup>*</sup>.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

2014
Investigation and analysis on the effect of filtering mechanisms for 3D depth map coding.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014

An efficient depth MAP model based on geometric properties.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014


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