Wen Qian

Orcid: 0000-0002-7036-1659

According to our database1, Wen Qian authored at least 22 papers between 2019 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Enhancing University English Teaching through Mobile Interactive Applications from an Educational Technology Perspective.
Int. J. Interact. Mob. Technol., 2024

VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing.
CoRR, 2024

VCD-Texture: Variance Alignment Based 3D-2D Co-denoising for Text-Guided Texturing.
Proceedings of the Computer Vision - ECCV 2024, 2024

2022
Navigating Diverse Salient Features for Vehicle Re-Identification.
IEEE Trans. Intell. Transp. Syst., 2022

RSDet++: Point-Based Modulated Loss for More Accurate Rotated Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2022

Corrigendum to "Partner learning: A comprehensive knowledge transfer for vehicle re-identification" [Neurocomputing 480 (2022) 89-98/NEUCOM-D-21-03435R1].
Neurocomputing, 2022

Partner learning: A comprehensive knowledge transfer for vehicle re-identification.
Neurocomputing, 2022

A Transformer-based Network for Deformable Medical Image Registration.
CoRR, 2022

RotatGAT: Learning Knowledge Graph Embedding with Translation Assumptions and Graph Attention Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

Improving Knowledge Graph Embedding Using Dynamic Aggregation of Neighbor Information.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Graph Convolutional Neural Network Based on Channel Graph Fusion for EEG Emotion Recognition.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Unstructured Feature Decoupling for Vehicle Re-identification.
Proceedings of the Computer Vision - ECCV 2022, 2022

A Transformer-Based Network for Deformable Medical Image Registration.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

A Model for Detecting Malware Adversarial Samples Based on Anomaly Detection Technology.
Proceedings of the 2022 2nd International Conference on Algorithms, 2022

2021
A Malware Family Classification Method Based on the Point Cloud Model DGCNN.
Proceedings of the Network and System Security - 15th International Conference, 2021

Pseudo Graph Convolutional Network for Vehicle ReID.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Adversarial Learning with Domain-Adaptive Pretraining for Few-Shot Relation Classification across Domains.
Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

Learning Modulated Loss for Rotated Object Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
CIASM-Net: A Novel Convolutional Neural Network for Dehazing Image.
Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2019
Learning Modulated Loss for Rotated Object Detection.
CoRR, 2019

A Gallery-Guided Graph Architecture for Sequential Impurity Detection.
IEEE Access, 2019

Research on Denoising Algorithms and Corner Detection of Dangerous Chemicals Storage and Stacking Based on Generative Adversarial Networks.
Proceedings of the 6th IEEE International Conference on Cloud Computing and Intelligence Systems, 2019


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