Wangxing Chen

Orcid: 0000-0001-8716-7070

According to our database1, Wangxing Chen authored at least 14 papers between 2024 and 2025.

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

Timeline

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Bibliography

2025
PCHGCN: Physically Constrained Higher-Order Graph Convolutional Network for Pedestrian Trajectory Prediction.
IEEE Internet Things J., July, 2025

MGFormer: a multi-information-based GRU-transformer network for pedestrian trajectory prediction.
J. Supercomput., May, 2025

DSTIGCN: Deformable Spatial-Temporal Interaction Graph Convolution Network for Pedestrian Trajectory Prediction.
IEEE Trans. Intell. Transp. Syst., May, 2025

IGGCN: Individual-guided graph convolution network for pedestrian trajectory prediction.
Digit. Signal Process., 2025

Group vehicle trajectory prediction model based on multi-graph fusion.
Comput. Electr. Eng., 2025

CWGCN: Cascaded Wavelet Graph Convolution Network for pedestrian trajectory prediction.
Comput. Electr. Eng., 2025

2024
WTGCN: wavelet transform graph convolution network for pedestrian trajectory prediction.
Int. J. Mach. Learn. Cybern., December, 2024

STIGCN: spatial-temporal interaction-aware graph convolution network for pedestrian trajectory prediction.
J. Supercomput., May, 2024

MSTCNN: multi-modal spatio-temporal convolutional neural network for pedestrian trajectory prediction.
Multim. Tools Appl., January, 2024

Non-probability sampling network based on anomaly pedestrian trajectory discrimination for pedestrian trajectory prediction.
Image Vis. Comput., 2024

DSTCNN: Deformable spatial-temporal convolutional neural network for pedestrian trajectory prediction.
Inf. Sci., 2024

Physics constrained pedestrian trajectory prediction with probability quantification.
Expert Syst. Appl., 2024

Neural differential constraint-based pedestrian trajectory prediction model in ego-centric perspective.
Eng. Appl. Artif. Intell., 2024

PB-Trajectron: Physics bounded neural network for generalized trajectory prediction.
Comput. Electr. Eng., 2024


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