Qian Wang
Orcid: 0000-0002-5906-1890Affiliations:
- Durham University, UK
- University of Manchester, UK (PhD 2018)
According to our database1,
Qian Wang
authored at least 37 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation.
IEEE Trans. Artif. Intell., September, 2024
A Hybrid Few-Shot Image Classification Framework Combining Gaussian Modeling and Label Propagation.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024
2023
Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation.
Neural Networks, April, 2023
Generalized zero-shot domain adaptation via coupled conditional variational autoencoders.
Neural Networks, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
FederatedNILM: A Distributed and Privacy-Preserving Framework for Non-Intrusive Load Monitoring Based on Federated Deep Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Pattern Recognit., 2022
A benchmark for multi-class object counting and size estimation using deep convolutional neural networks.
Eng. Appl. Artif. Intell., 2022
DP<sup>2</sup>-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring.
CoRR, 2022
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022
2021
Eng. Appl. Artif. Intell., 2021
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation.
CoRR, 2021
On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening.
Proceedings of the International Joint Conference on Neural Networks, 2021
A telehealth framework for dementia care: an ADLs patterns recognition model for patients based on NILM.
Proceedings of the International Joint Conference on Neural Networks, 2021
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
Neural Networks, 2020
A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes.
CoRR, 2020
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery.
CoRR, 2019
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening.
CoRR, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
A Baseline for Multi-Label Image Classification Using an Ensemble of Deep Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
CoRR, 2018
Single ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks.
Proceedings of the Computer Graphics & Visual Computing, 2018
2017
Int. J. Comput. Vis., 2017
CoRR, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017