Qian Wang

According to our database, Qian Wang authored at least 35 papers between 2017 and 2023.

Collaborative distances:

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

2023

Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation.

Qian Wang, Fanlin Meng, Toby P. Breckon

Neural Networks, April, 2023

Generalized zero-shot domain adaptation via coupled conditional variational autoencoders.

Qian Wang, Toby P. Breckon

Neural Networks, 2023

On Fine-Tuned Deep Features for Unsupervised Domain Adaptation.

Qian Wang, Fanlin Meng, Toby P. Breckon

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.

Shuang Dai, Fanlin Meng, Qian Wang, Xizhong Chen

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss.

Qian Wang, Toby P. Breckon

IEEE Trans. Intell. Transp. Syst., 2022

Cross-domain structure preserving projection for heterogeneous domain adaptation.

Qian Wang, Toby P. Breckon

Pattern Recognit., 2022

A benchmark for multi-class object counting and size estimation using deep convolutional neural networks.

Zixu Liu, Qian Wang, Fanlin Meng

Eng. Appl. Artif. Intell., 2022

On Fine-Tuned Deep Features for Unsupervised Domain Adaptation.

Qian Wang, Toby P. Breckon

CoRR, 2022

DP²-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring.

Shuang Dai, Fanlin Meng, Qian Wang, Xizhong Chen

CoRR, 2022

On Data Annotation Efficiency for Image Based Crowd Counting.

Tianfang Ma, Shuoyan Liu, Qian Wang

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

2021

Dynamic clustering analysis for driving styles identification.

Maria Valentina Niño de Zepeda, Fanlin Meng, Jinya Su, Xiao-Jun Zeng, Qian Wang

Eng. Appl. Artif. Intell., 2021

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

Qian Wang, Fanlin Meng, Toby P. Breckon

CoRR, 2021

Electrical peak demand forecasting- A review.

Shuang Dai, Fanlin Meng, Hongsheng Dai, Qian Wang, Xizhong Chen

CoRR, 2021

On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening.

Qian Wang, Toby P. Breckon

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.

Shuang Dai, Qian Wang, Fanlin Meng

Proceedings of the International Joint Conference on Neural Networks, 2021

Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery.

Qian Wang, Toby P. Breckon

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Source Class Selection With Label Propagation For Partial Domain Adaptation.

Qian Wang, Toby P. Breckon

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Multi-label zero-shot human action recognition via joint latent ranking embedding.

Qian Wang, Ke Chen

Neural Networks, 2020

Data Augmentation with norm-VAE for Unsupervised Domain Adaptation.

Qian Wang, Fanlin Meng, Toby P. Breckon

CoRR, 2020

A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes.

Qian Wang, Najla Megherbi, Toby P. Breckon

CoRR, 2020

On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery.

Qian Wang, Neelanjan Bhowmik, Toby P. Breckon

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.

Qian Wang, Neelanjan Bhowmik, Toby P. Breckon

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling.

Qian Wang, Toby P. Breckon

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Segmentation Guided Attention Network for Crowd Counting via Curriculum Learning.

Qian Wang, Toby P. Breckon

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.

Neelanjan Bhowmik, Qian Wang, Yona Falinie A. Gaus, Marcin Szarek, Toby P. Breckon

CoRR, 2019

An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening.

Qian Wang, Khalid N. Ismail, Toby P. Breckon

CoRR, 2019

Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition.

Qian Wang, Penghui Bu, Toby P. Breckon

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.

Qian Wang, Ning Jia, Toby P. Breckon

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Zero-shot visual recognition via latent embedding learning.

Qian Wang

PhD thesis, 2018

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

Qian Wang, Ning Jia, Toby P. Breckon

CoRR, 2018

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

Xin Zhang, Qian Wang, Toby P. Breckon, Ioannis P. Ivrissimtzis

CoRR, 2018

Single ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks.

Xin Zhang, Qian Wang, Ioannis P. Ivrissimtzis

Proceedings of the Computer Graphics & Visual Computing, 2018

2017

Zero-Shot Visual Recognition via Bidirectional Latent Embedding.

Qian Wang, Ke Chen

Int. J. Comput. Vis., 2017

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

Qian Wang, Ke Chen

CoRR, 2017

Alternative Semantic Representations for Zero-Shot Human Action Recognition.

Qian Wang, Ke Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017