Wenchao Weng

Orcid: 0000-0002-9677-3213

According to our database1, Wenchao Weng authored at least 20 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CoMemNet: Contrastive Sampling with Memory Replay Network for Continual Traffic Prediction.
CoRR, May, 2026

An aggregated graph attention network with depthwise separable convolution fusion for traffic flow forecasting.
J. Supercomput., April, 2026

Conditional diffusion transformer enabled few-shot spatiotemporal modeling.
Inf. Fusion, 2026

Dual-aspect contrastive hyper fusion transformer for trip recommendation.
Neurocomputing, 2026

2025
Dynamic Modeling and Analysis of Bi-Directional Traffic Flows Through a Deep Spatio-Temporal Graph Neural Network.
IEEE Trans. Big Data, December, 2025

Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., September, 2025

Multi-scale fusion dynamic graph convolutional recurrent network for traffic forecasting.
Clust. Comput., June, 2025

A cellular traffic prediction method based on diffusion convolutional GRU and multi-head attention mechanism.
Clust. Comput., April, 2025

TSHDNet: temporal-spatial heterogeneity decoupling network for multi-mode traffic flow prediction.
Appl. Intell., February, 2025

PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction.
Neural Networks, 2025

MPFDAN: Multi-Perspective Feature Dynamic Adaptation Network for Domain Adaptive Object Detection.
Proceedings of the International Joint Conference on Neural Networks, 2025

Let's Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
RGDAN: A random graph diffusion attention network for traffic prediction.
Neural Networks, 2024

TC-DiffRecon: Texture Coordination MRI Reconstruction Method Based on Diffusion Model and Modified MF-UNet Method.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting.
Pattern Recognit., October, 2023

NSAW: An Efficient and Accurate Transformer for Vehicle LiDAR Object Detection.
IEEE Trans. Instrum. Meas., 2023

Multi-scale Fusion Dynamic Graph Neural Network For Traffic Flow Prediction.
Proceedings of the 2nd International Conference on Algorithms, 2023


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