Alternative Semantic Representations for Zero-Shot Human Action Recognition. - Qian Wang 017; Ke Chen 001 (ECML/PKDD (1), 2017)

Multi-Label Zero-Shot Human Action Recognition via Joint Latent Embedding. - Qian Wang 017; Ke Chen 001 (CoRR, 2017)

Zero-Shot Visual Recognition via Bidirectional Latent Embedding. - Qian Wang 017; Ke Chen 001 (Int. J. Comput. Vis., 2017)

Single ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks. - Xin Zhang; Qian Wang 017; Ioannis P. Ivrissimtzis (CGVC, 2018)

Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks. - Xin Zhang; Qian Wang 017; Toby P. Breckon; Ioannis P. Ivrissimtzis (CoRR, 2018)

A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN. - Qian Wang 017; Ning Jia; Toby P. Breckon (CoRR, 2018)

Zero-shot visual recognition via latent embedding learning. - Qian Wang 017 (2018)

A Baseline for Multi-Label Image Classification Using an Ensemble of Deep Convolutional Neural Networks. - Qian Wang 017; Ning Jia; Toby P. Breckon (ICIP, 2019)

Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition. - Qian Wang 017; Penghui Bu; Toby P. Breckon (IJCNN, 2019)

An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening. - Qian Wang 017; Khalid N. Ismail; 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 017; Yona Falinie A. Gaus; Marcin Szarek; Toby P. Breckon (CoRR, 2019)

Segmentation Guided Attention Network for Crowd Counting via Curriculum Learning. - Qian Wang 017; Toby P. Breckon (CoRR, 2019)

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling. - Qian Wang 017; Toby P. Breckon (AAAI, 2020)

Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. - Qian Wang 017; Neelanjan Bhowmik; Toby P. Breckon (ICMLA, 2020)

On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery. - Qian Wang 017; Neelanjan Bhowmik; Toby P. Breckon (IJCNN, 2020)

A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes. - Qian Wang 017; Najla Megherbi; Toby P. Breckon (CoRR, 2020)

Data Augmentation with norm-VAE for Unsupervised Domain Adaptation. - Qian Wang 017; Fanlin Meng; Toby P. Breckon (CoRR, 2020)

Multi-label zero-shot human action recognition via joint latent ranking embedding. - Qian Wang 017; Ke Chen 001 (Neural Networks, 2020)

Source Class Selection With Label Propagation For Partial Domain Adaptation. - Qian Wang 017; Toby P. Breckon (ICIP, 2021)

Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. - Qian Wang 017; Toby P. Breckon (ICMLA, 2021)

A telehealth framework for dementia care: an ADLs patterns recognition model for patients based on NILM. - Shuang Dai; Qian Wang 017; Fanlin Meng (IJCNN, 2021)

On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening. - Qian Wang 017; Toby P. Breckon (IJCNN, 2021)

Electrical peak demand forecasting- A review. - Shuang Dai; Fanlin Meng; Hongsheng Dai; Qian Wang 017; Xizhong Chen (CoRR, 2021)

Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation. - Qian Wang 017; Fanlin Meng; Toby P. Breckon (CoRR, 2021)

Dynamic clustering analysis for driving styles identification. - Maria Valentina Niño de Zepeda; Fanlin Meng; Jinya Su; Xiao-Jun Zeng; Qian Wang 017 (Eng. Appl. Artif. Intell., 2021)

On Data Annotation Efficiency for Image Based Crowd Counting. - Tianfang Ma; Shuoyan Liu; Qian Wang 017 (VCIP, 2022)

DP2-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring. - Shuang Dai; Fanlin Meng; Qian Wang 017; Xizhong Chen (CoRR, 2022)

On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. - Qian Wang 017; Toby P. Breckon (CoRR, 2022)

A benchmark for multi-class object counting and size estimation using deep convolutional neural networks. - Zixu Liu; Qian Wang 017; Fanlin Meng (Eng. Appl. Artif. Intell., 2022)

Cross-domain structure preserving projection for heterogeneous domain adaptation. - Qian Wang 017; Toby P. Breckon (Pattern Recognit., 2022)

Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss. - Qian Wang 017; Toby P. Breckon (IEEE Trans. Intell. Transp. Syst., 2022)

FederatedNILM: A Distributed and Privacy-Preserving Framework for Non-Intrusive Load Monitoring Based on Federated Deep Learning. - Shuang Dai; Fanlin Meng; Qian Wang 017; Xizhong Chen (IJCNN, 2023)

On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. - Qian Wang 017; Fanlin Meng; Toby P. Breckon (IJCNN, 2023)

Generalized zero-shot domain adaptation via coupled conditional variational autoencoders. - Qian Wang 017; Toby P. Breckon (Neural Networks, 2023)

Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation. - Qian Wang 017; Fanlin Meng; Toby P. Breckon (Neural Networks, 2023)

A Hybrid Few-Shot Image Classification Framework Combining Gaussian Modeling and Label Propagation. - Chao Ye; Qian Wang 017; Lanfang Dong (ICMR, 2024)

Multiview latent space learning with progressively fine-tuned deep features for unsupervised domain adaptation. - Chenyang Zhu 001; Qian Wang 017; Yunxin Xie; Shoukun Xu (Inf. Sci., 2024)

Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation. - Qian Wang 017; Fanlin Meng; Toby P. Breckon (IEEE Trans. Artif. Intell., 2024)

Enhanced cross-domain lithology classification in imbalanced datasets using an unsupervised domain Adversarial Network. - Yunxin Xie; Liangyu Jin; Chenyang Zhu 001; Weibin Luo; Qian Wang 017 (Eng. Appl. Artif. Intell., 2025)

Reducing bias in source-free unsupervised domain adaptation for regression. - Qianshan Zhan; Xiao-Jun Zeng; Qian Wang 017 (Neural Networks, 2025)

Tensorial multiview low-rank high-order graph learning for context-enhanced domain adaptation. - Chenyang Zhu 001; Lanlan Zhang; Weibin Luo; Guangqi Jiang; Qian Wang 017 (Neural Networks, 2025)