Wen Qian

According to our database, Wen Qian authored at least 19 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Navigating Diverse Salient Features for Vehicle Re-Identification.

Wen Qian, Zhiqun He, Chen Chen, Silong Peng

IEEE Trans. Intell. Transp. Syst., 2022

RSDet++: Point-Based Modulated Loss for More Accurate Rotated Object Detection.

Wen Qian, Xue Yang, Silong Peng, Xiujuan Zhang, Junchi Yan

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].

Wen Qian, Zhiqun He, Chen Chen, Silong Peng

Neurocomputing, 2022

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

Wen Qian, Zhiqun He, Chen Chen, Silong Peng

Neurocomputing, 2022

A Transformer-based Network for Deformable Medical Image Registration.

Yibo Wang, Wen Qian, Xuming Zhang

CoRR, 2022

RotatGAT: Learning Knowledge Graph Embedding with Translation Assumptions and Graph Attention Networks.

Guangbin Wang, Yuxin Ding, Zhibin Xie, Yubin Ma, Zihan Zhou, Wen Qian

Proceedings of the International Joint Conference on Neural Networks, 2022

Improving Knowledge Graph Embedding Using Dynamic Aggregation of Neighbor Information.

Guangbin Wang, Yuxin Ding, Yiqi Su, Zihan Zhou, Yubin Ma, Wen Qian

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Graph Convolutional Neural Network Based on Channel Graph Fusion for EEG Emotion Recognition.

Wen Qian, Yuxin Ding, Weiyi Li

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Unstructured Feature Decoupling for Vehicle Re-identification.

Wen Qian, Hao Luo, Silong Peng, Fan Wang, Chen Chen, Hao Li

Proceedings of the Computer Vision - ECCV 2022, 2022

A Transformer-Based Network for Deformable Medical Image Registration.

Yibo Wang, Wen Qian, Mengqi Li, Xuming Zhang

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

A Model for Detecting Malware Adversarial Samples Based on Anomaly Detection Technology.

Yubin Ma, Yuxin Ding, Wen Qian

Proceedings of the 2022 2nd International Conference on Algorithms, 2022

2021

A Malware Family Classification Method Based on the Point Cloud Model DGCNN.

Yuxin Ding, Zihan Zhou, Wen Qian

Proceedings of the Network and System Security - 15th International Conference, 2021

Pseudo Graph Convolutional Network for Vehicle ReID.

Wen Qian, Zhiqun He, Silong Peng, Chen Chen, Wei Wu

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.

Wen Qian, Yuesheng Zhu

Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

Learning Modulated Loss for Rotated Object Detection.

Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Yue Guo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

CIASM-Net: A Novel Convolutional Neural Network for Dehazing Image.

Wen Qian, Chao Zhou, Dengyin Zhang

Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2019

Learning Modulated Loss for Rotated Object Detection.

Wen Qian, Xue Yang, Silong Peng, Yue Guo, Chijun Yan

CoRR, 2019

A Gallery-Guided Graph Architecture for Sequential Impurity Detection.

Wenhao He, Haitao Song, Yue Guo, Xiaoyi Yin, Xiaonan Wang, Guibin Bian, Wen Qian

IEEE Access, 2019

Research on Denoising Algorithms and Corner Detection of Dangerous Chemicals Storage and Stacking Based on Generative Adversarial Networks.

Xuejun Liu, Yuchen Wei, Zixian Zhao, Wen Qian, Yongning Liang, Xintong Li, Cuiqing Li

Proceedings of the 6th IEEE International Conference on Cloud Computing and Intelligence Systems, 2019