Cuijin Li

Orcid: 0000-0002-9902-9158

According to our database1, Cuijin Li authored at least 12 papers between 2009 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
ICCPNet: inter-layer coupling channel pruning network based on elastic scaling scoring for complex traffic scene.
Appl. Intell., April, 2026

MFDC: Multi-dimensional fusion dynamic convolution based on wind direction aware for fire and smoke detection.
Signal Image Video Process., March, 2026

2024
GHAFNet: Global-context hierarchical attention fusion method for traffic object detection.
Multim. Tools Appl., August, 2024

Spatial and Temporal Dynamics in Vegetation Greenness and Its Response to Climate Change in the Tarim River Basin, China.
ISPRS Int. J. Geo Inf., 2024

An object detection approach with residual feature fusion and second-order term attention mechanism.
CAAI Trans. Intell. Technol., 2024

2023
PerspectiveNet: An Object Detection Method With Adaptive Perspective Box Network Based on Density-Aware.
IEEE Trans. Intell. Transp. Syst., May, 2023

A Dense-Aware Cross-splitNet for Object Detection and Recognition.
IEEE Trans. Circuits Syst. Video Technol., May, 2023

BANet: Small and multi-object detection with a bidirectional attention network for traffic scenes.
Eng. Appl. Artif. Intell., 2023

A method of knowledge distillation based on feature fusion and attention mechanism for complex traffic scenes.
Eng. Appl. Artif. Intell., 2023

2021
A method of cross-layer fusion multi-object detection and recognition based on improved faster R-CNN model in complex traffic environment.
Pattern Recognit. Lett., 2021

A Cross-Layer Fusion Multi-target Detection and Recognition Method Based on Improved FPN Model in Complex Traffic Environment.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2009
RTTM: A New Hierarchical Interconnection Network for Massively Parallel Computing.
Proceedings of the High Performance Computing and Applications, 2009


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