Yuqi Lu

Orcid: 0000-0002-4913-2173

According to our database1, Yuqi Lu authored at least 13 papers between 2021 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Spatial Accessibility of Public Electric Vehicle Charging Services in China.
ISPRS Int. J. Geo Inf., November, 2023

SOD head: A network for locating small fruits from top to bottom in layers of feature maps.
Comput. Electron. Agric., September, 2023

ODL Net: Object detection and location network for small pears around the thinning period.
Comput. Electron. Agric., September, 2023

Alleviating pseudo-touching in attention U-Net-based binarization approach for the historical Tibetan document images.
Neural Comput. Appl., July, 2023

Mask Positioner: An effective segmentation algorithm for green fruit in complex environment.
J. King Saud Univ. Comput. Inf. Sci., July, 2023

Microservice extraction using graph deep clustering based on dual view fusion.
Inf. Softw. Technol., June, 2023

Serial fuzzy system algorithm for predicting biological activity of anti-breast cancer compounds.
Appl. Intell., June, 2023

2022
GHFormer-Net: Towards more accurate small green apple/begonia fruit detection in the nighttime.
J. King Saud Univ. Comput. Inf. Sci., 2022

Measurement Invariance Investigation for Performance of Deep Learning Architectures.
IEEE Access, 2022

Automatic Generation Method for Large Virtual Driving Curves of Metro Trains with Complex Line Conditions.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

A Study of Students' Emotional Engagement in Blended Learning in the Post-epidemic Era-A Case Study of College English Course.
Proceedings of the Computer Science and Education - 17th International Conference, 2022

2021
Accurate Fine-grained Layout Analysis for the Historical Tibetan Document Based on the Instance Segmentation.
CoRR, 2021

Accurate Fine-Grained Layout Analysis for the Historical Tibetan Document Based on the Instance Segmentation.
IEEE Access, 2021


  Loading...