Qian Wang

Orcid: 0000-0002-5906-1890

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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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

On Fine-Tuned Deep Features for Unsupervised Domain Adaptation.
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
Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss.
IEEE Trans. Intell. Transp. Syst., 2022

Cross-domain structure preserving projection for heterogeneous domain adaptation.
Pattern Recognit., 2022

A benchmark for multi-class object counting and size estimation using deep convolutional neural networks.
Eng. Appl. Artif. Intell., 2022

On Fine-Tuned Deep Features for Unsupervised Domain Adaptation.
CoRR, 2022

DP<sup>2</sup>-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring.
CoRR, 2022

On Data Annotation Efficiency for Image Based Crowd Counting.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

2021
Dynamic clustering analysis for driving styles identification.
Eng. Appl. Artif. Intell., 2021

Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation.
CoRR, 2021

Electrical peak demand forecasting- A review.
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

Source Class Selection With Label Propagation For Partial Domain Adaptation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Multi-label zero-shot human action recognition via joint latent ranking embedding.
Neural Networks, 2020

Data Augmentation with norm-VAE for Unsupervised Domain Adaptation.
CoRR, 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
Segmentation Guided Attention Network for Crowd Counting via Curriculum Learning.
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

Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition.
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
Zero-shot visual recognition via latent embedding learning.
PhD thesis, 2018

A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN.
CoRR, 2018

Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks.
CoRR, 2018

Single ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks.
Proceedings of the Computer Graphics & Visual Computing, 2018

2017
Zero-Shot Visual Recognition via Bidirectional Latent Embedding.
Int. J. Comput. Vis., 2017

Multi-Label Zero-Shot Human Action Recognition via Joint Latent Embedding.
CoRR, 2017

Alternative Semantic Representations for Zero-Shot Human Action Recognition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017


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