Qian Wang - RankMe

53 papers A* 1B 9C 3Journal 36Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TranSAC: An unsupervised transferability metric based on task speciality and domain commonality. Pattern Recognit. Qianshan Zhan, Xiao-Jun Zeng, Qian Wang
2025	J	`jnl`	Enhanced cross-domain lithology classification in imbalanced datasets using an unsupervised domain Adversarial Network. Eng. Appl. Artif. Intell. Yunxin Xie, Liangyu Jin, Chenyang Zhu, Weibin Luo, Qian Wang
2025	—	`conf`	Progressive Dual-Space Discovering of Unknowns for Source-Free Open-Set Domain Adaptation. ECML/PKDD (8) Qianshan Zhan, Qian Wang, Xiao-Jun Zeng
2025	J	`jnl`	Reducing bias in source-free unsupervised domain adaptation for regression. Neural Networks Qianshan Zhan, Xiao-Jun Zeng, Qian Wang
2025	J	`jnl`	Tensorial multiview low-rank high-order graph learning for context-enhanced domain adaptation. Neural Networks Chenyang Zhu, Lanlan Zhang, Weibin Luo, Guangqi Jiang, Qian Wang
2024	B	`conf`	A Hybrid Few-Shot Image Classification Framework Combining Gaussian Modeling and Label Propagation. ICMR Chao Ye, Qian Wang, Lanfang Dong
2024	J	`jnl`	Multiview latent space learning with progressively fine-tuned deep features for unsupervised domain adaptation. Inf. Sci. Chenyang Zhu, Qian Wang, Yunxin Xie, Shoukun Xu
2024	J	`jnl`	Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation. IEEE Trans. Artif. Intell. Qian Wang, Fanlin Meng, Toby P. Breckon
2023	J	`jnl`	Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation. Neural Networks Qian Wang, Fanlin Meng, Toby P. Breckon
2023	B	`conf`	FederatedNILM: A Distributed and Privacy-Preserving Framework for Non-Intrusive Load Monitoring Based on Federated Deep Learning. IJCNN Shuang Dai, Fanlin Meng, Qian Wang, Xizhong Chen
2023	J	`jnl`	Generalized zero-shot domain adaptation via coupled conditional variational autoencoders. Neural Networks Qian Wang, Toby P. Breckon
2023	B	`conf`	On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. IJCNN Qian Wang, Fanlin Meng, Toby P. Breckon
2022	J	`jnl`	A benchmark for multi-class object counting and size estimation using deep convolutional neural networks. Eng. Appl. Artif. Intell. Zixu Liu, Qian Wang, Fanlin Meng
2022	J	`jnl`	Cross-domain structure preserving projection for heterogeneous domain adaptation. Pattern Recognit. Qian Wang, Toby P. Breckon
2022	J	`jnl`	Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss. IEEE Trans. Intell. Transp. Syst. Qian Wang, Toby P. Breckon
2022	J	`jnl`	DP CoRR Shuang Dai, Fanlin Meng, Qian Wang, Xizhong Chen
2022	C	`conf`	On Data Annotation Efficiency for Image Based Crowd Counting. VCIP Tianfang Ma, Shuoyan Liu, Qian Wang
2022	J	`jnl`	On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. CoRR Qian Wang, Toby P. Breckon
2021	B	`conf`	A telehealth framework for dementia care: an ADLs patterns recognition model for patients based on NILM. IJCNN Shuang Dai, Qian Wang, Fanlin Meng
2021	C	`conf`	Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. ICMLA Qian Wang, Toby P. Breckon
2021	J	`jnl`	Dynamic clustering analysis for driving styles identification. Eng. Appl. Artif. Intell. Maria Valentina Niño de Zepeda, Fanlin Meng, Jinya Su, Xiao-Jun Zeng, Qian Wang
2021	J	`jnl`	Electrical peak demand forecasting- A review. CoRR Shuang Dai, Fanlin Meng, Hongsheng Dai, Qian Wang, Xizhong Chen
2021	J	`jnl`	FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning. CoRR Shuang Dai, Fanlin Meng, Qian Wang, Xizhong Chen
2021	B	`conf`	On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening. IJCNN Qian Wang, Toby P. Breckon
2021	J	`jnl`	Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation. CoRR Qian Wang, Fanlin Meng, Toby P. Breckon
2021	B	`conf`	Source Class Selection With Label Propagation For Partial Domain Adaptation. ICIP Qian Wang, Toby P. Breckon
2020	J	`jnl`	A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes. CoRR Qian Wang, Najla Megherbi, Toby P. Breckon
2020	J	`jnl`	Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. CoRR Qian Wang, Toby P. Breckon
2020	J	`jnl`	Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation. CoRR Qian Wang, Toby P. Breckon
2020	J	`jnl`	Data Augmentation with norm-VAE for Unsupervised Domain Adaptation. CoRR Qian Wang, Fanlin Meng, Toby P. Breckon
2020	J	`jnl`	Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders. CoRR Qian Wang, Toby P. Breckon
2020	C	`conf`	Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. ICMLA Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
2020	J	`jnl`	Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. CoRR Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
2020	J	`jnl`	Multi-label zero-shot human action recognition via joint latent ranking embedding. Neural Networks Qian Wang, Ke Chen
2020	B	`conf`	On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery. IJCNN Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
2020	J	`jnl`	On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery. CoRR Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
2020	A*	`conf`	Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling. AAAI Qian Wang, Toby P. Breckon
2019	B	`conf`	A Baseline for Multi-Label Image Classification Using an Ensemble of Deep Convolutional Neural Networks. ICIP Qian Wang, Ning Jia, Toby P. Breckon
2019	J	`jnl`	An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening. CoRR Qian Wang, Khalid N. Ismail, Toby P. Breckon
2019	J	`jnl`	Segmentation Guided Attention Network for Crowd Counting via Curriculum Learning. CoRR Qian Wang, Toby P. Breckon
2019	J	`jnl`	The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery. CoRR Neelanjan Bhowmik, Qian Wang, Yona Falinie A. Gaus, Marcin Szarek, Toby P. Breckon
2019	B	`conf`	Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition. IJCNN Qian Wang, Penghui Bu, Toby P. Breckon
2019	J	`jnl`	Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition. CoRR Qian Wang, Penghui Bu, Toby P. Breckon
2019	J	`jnl`	Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling. CoRR Qian Wang, Toby P. Breckon
2018	J	`jnl`	A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN. CoRR Qian Wang, Ning Jia, Toby P. Breckon
2018	—	`conf`	Single ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks. CGVC Xin Zhang, Qian Wang, Ioannis P. Ivrissimtzis
2018	J	`jnl`	Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks. CoRR Xin Zhang, Qian Wang, Toby P. Breckon, Ioannis P. Ivrissimtzis
2018	—	`—`	Zero-shot visual recognition via latent embedding learning. Qian Wang
2017	—	`conf`	Alternative Semantic Representations for Zero-Shot Human Action Recognition. ECML/PKDD (1) Qian Wang, Ke Chen
2017	J	`jnl`	Alternative Semantic Representations for Zero-Shot Human Action Recognition. CoRR Qian Wang, Ke Chen
2017	J	`jnl`	Multi-Label Zero-Shot Human Action Recognition via Joint Latent Embedding. CoRR Qian Wang, Ke Chen
2017	J	`jnl`	Zero-Shot Visual Recognition via Bidirectional Latent Embedding. Int. J. Comput. Vis. Qian Wang, Ke Chen
2016	J	`jnl`	Zero-Shot Visual Recognition via Bidirectional Latent Embedding. CoRR Qian Wang, Ke Chen