Contextualizing object detection and classification. - Zheng Song; Qiang Chen 007; ZhongYang Huang; Yang Hua 001; Shuicheng Yan (CVPR, 2011)

Hierarchical matching with side information for image classification. - Qiang Chen 007; Zheng Song; Yang Hua 001; ZhongYang Huang; Shuicheng Yan (CVPR, 2012)

VideoPuzzle: Descriptive One-Shot Video Composition. - Qiang Chen 007; Meng Wang 001; ZhongYang Huang; Yang Hua 001; Zheng Song; Shuicheng Yan (IEEE Trans. Multim., 2013)

Occlusion and Motion Reasoning for Long-Term Tracking. - Yang Hua 001; Karteek Alahari; Cordelia Schmid (ECCV (6), 2014)

Online Object Tracking with Proposal Selection. - Yang Hua 001; Karteek Alahari; Cordelia Schmid (ICCV, 2015)

Contextualizing Object Detection and Classification. - Qiang Chen 007; Zheng Song; Jian Dong; ZhongYang Huang; Yang Hua 001; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Towards robust visual object tracking : proposal selection and occlusion reasoning. (Vers un suivi robuste d'objets visuels : sélection de propositions et traitement des occlusions). - Yang Hua 001 (2016)

Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks. - Guosheng Hu; Yang Hua 001; Yang Yuan; Zhihong Zhang 001; Zheng Lu; Sankha S. Mukherjee; Timothy M. Hospedales; Neil Martin Robertson; Yongxin Yang (ICCV, 2017)

Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images. - Shuo Wang 008; Yang Hua 001; Yunyun Cao; Tao Song 003; Zhengui Xue; Xiaoping Gong; Guanjie Wang; Ruhui Ma; Haibing Guan (BIBM, 2018)

Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States. - Guosheng Hu; Li Liu 004; Yang Yuan; Zehao Yu; Yang Hua 001; Zhihong Zhang 001; Fumin Shen; Ling Shao 001; Timothy M. Hospedales; Neil Martin Robertson; Yongxin Yang (ECCV (12), 2018)

Object-Adaptive LSTM Network for Visual Tracking. - Yihan Du; Yan Yan 001; Si Chen 002; Yang Hua 001; Hanzi Wang (ICPR, 2018)

Tracking-assisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos. - Zongpu Zhang; Yang Hua 001; Tao Song 003; Zhengui Xue; Ruhui Ma; Neil Martin Robertson; Haibing Guan (ACM Multimedia, 2018)

Cross-View Discriminative Feature Learning for Person Re-Identification. - Alessandro Borgia; Yang Hua 001; Elyor Kodirov; Neil Martin Robertson (IEEE Trans. Image Process., 2018)

Deep Metric Learning by Online Soft Mining and Class-Aware Attention. - Xinshao Wang; Yang Hua 001; Elyor Kodirov; Guosheng Hu; Neil Martin Robertson (AAAI, 2019)

SC-RANK: Improving Convolutional Image Captioning with Self-Critical Learning and Ranking Metric-based Reward. - Shiyang Yan; Yang Hua 001; Neil Robertson 002 (BMVC, 2019)

Ranked List Loss for Deep Metric Learning. - Xinshao Wang; Yang Hua 001; Elyor Kodirov; Guosheng Hu; Romain Garnier; Neil Martin Robertson (CVPR, 2019)

Object Guided External Memory Network for Video Object Detection. - Hanming Deng; Yang Hua 001; Tao Song 003; Zongpu Zhang; Zhengui Xue; Ruhui Ma; Neil Martin Robertson; Haibing Guan (ICCV, 2019)

Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks. - Xufeng He; Yang Hua 001; Tao Song 003; Zongpu Zhang; Zhengui Xue; Ruhui Ma; Neil Martin Robertson; Haibing Guan (ACM Multimedia, 2019)

GAN-Based Pose-Aware Regulation for Video-Based Person Re-Identification. - Alessandro Borgia; Yang Hua 001; Elyor Kodirov; Neil Martin Robertson (WACV, 2019)

IEGAN: Multi-Purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network. - Soumya Shubhra Ghosh; Yang Hua 001; Sankha Subhra Mukherjee; Neil Martin Robertson (WACV, 2019)

Improving MAE against CCE under Label Noise. - Xinshao Wang; Elyor Kodirov; Yang Hua 001; Neil Martin Robertson (CoRR, 2019)

Emphasis Regularisation by Gradient Rescaling for Training Deep Neural Networks with Noisy Labels. - Xinshao Wang; Yang Hua 001; Elyor Kodirov; Neil Martin Robertson (CoRR, 2019)

ID-aware Quality for Set-based Person Re-identification. - Xinshao Wang; Elyor Kodirov; Yang Hua 001; Neil Martin Robertson (CoRR, 2019)

Instance Cross Entropy for Deep Metric Learning. - Xinshao Wang; Elyor Kodirov; Yang Hua 001; Neil Martin Robertson (CoRR, 2019)

Weakly Supervised Salient Object Detection With Spatiotemporal Cascade Neural Networks. - Yi Tang 008; Wenbin Zou; Zhi Jin; Yuhuan Chen; Yang Hua 001; Xia Li 006 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Learning Deep Relations to Promote Saliency Detection. - Changrui Chen; Xin Sun 003; Yang Hua 001; Junyu Dong; Hongwei Xv (AAAI, 2020)

Reinforcing Neural Network Stability with Attractor Dynamics. - Hanming Deng; Yang Hua 001; Tao Song 003; Zhengui Xue; Ruhui Ma; Neil Robertson 002; Haibing Guan (AAAI, 2020)

Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning. - Jian Gao 018; Yang Hua 001; Guosheng Hu; Chi Wang; Neil Martin Robertson (ECCV (23), 2020)

Improving Detection And Recognition Of Degraded Faces By Discriminative Feature Restoration Using GAN. - Soumya Shubhra Ghosh; Yang Hua 001; Sankha Subhra Mukherjee; Neil M. Robertson (ICIP, 2020)

VTT: Long-term Visual Tracking with Transformers. - Tianling Bian; Yang Hua 001; Tao Song 003; Zhengui Xue; Ruhui Ma; Neil Robertson 002; Haibing Guan (ICPR, 2020)

An RSS-Based Classification of User Equipment Usage in Indoor Millimeter Wave Wireless Networks Using Machine Learning. - Lei Zhang 089; Yang Hua 001; Simon L. Cotton; Seong Ki Yoo; Claudio R. C. M. da Silva; William G. Scanlon (IEEE Access, 2020)

ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs. - Shiyang Yan; Yang Hua 001; Neil Robertson 002 (CoRR, 2020)

ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise. - Xinshao Wang; Yang Hua 001; Elyor Kodirov; Neil Martin Robertson (CoRR, 2020)

Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation. - Shiyang Yan; Yang Hua 001; Neil Martin Robertson (CoRR, 2020)

Object-adaptive LSTM network for real-time visual tracking with adversarial data augmentation. - Yihan Du; Yan Yan 001; Si Chen 002; Yang Hua 001 (Neurocomputing, 2020)

Video salient object detection via spatiotemporal attention neural networks. - Yi Tang 008; Wenbin Zou; Yang Hua 001; Zhi Jin; Xia Li 006 (Neurocomputing, 2020)

MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection. - Guanxiong Sun; Yang Hua 001; Guosheng Hu; Neil Robertson 002 (AAAI, 2021)

Positional Mask Attention for Video Sequence Modeling. - Jiaxuan Wang; Chaoyi Wang; Yang Hua 001; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (CISP-BMEI, 2021)

Temporal Meta-Adaptor for Video Object Detection. - Chi Wang; Yang Hua 001; Zheng Lu; Jian Gao 018; Neil Robertson 002 (BMVC, 2021)

Siren: Byzantine-robust Federated Learning via Proactive Alarming. - Hanxi Guo; Hao Wang 022; Tao Song 003; Yang Hua 001; Zhangcheng Lv; Xiulang Jin; Zhengui Xue; Ruhui Ma; Haibing Guan (SoCC, 2021)

ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks. - Xinshao Wang; Yang Hua 001; Elyor Kodirov; David A. Clifton; Neil M. Robertson (CVPR, 2021)

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization. - Jiaru Zhang; Yang Hua 001; Zhengui Xue; Tao Song 003; Chengyu Zheng; Ruhui Ma; Haibing Guan (CVPR, 2021)

Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking. - Chaoyi Wang; Yang Hua 001; Tao Song 003; Zhengui Xue; Ruhui Ma; Neil Robertson 002; Haibing Guan (ICASSP, 2021)

Self-Supervised Vessel Segmentation via Adversarial Learning. - Yuxin Ma; Yang Hua 001; Hanming Deng; Tao Song 003; Hao Wang 022; Zhengui Xue; Heng Cao; Ruhui Ma; Haibing Guan (ICCV, 2021)

Fast and Accurate Scene Parsing via Bi-Direction Alignment Networks. - Yanran Wu; Xiangtai Li; Chen Shi; Yunhai Tong; Yang Hua 001; Tao Song 003; Ruhui Ma; Haibing Guan (ICIP, 2021)

Themis: A Fair Evaluation Platform for Computer Vision Competitions. - Zinuo Cai; Jianyong Yuan; Yang Hua 001; Tao Song 003; Hao Wang 022; Zhengui Xue; Ningxin Hu; Jonathan Ding; Ruhui Ma; Mohammad Reza Haghighat; Haibing Guan (IJCAI, 2021)

Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. - JunKyu Lee; Lev Mukhanov; Amir Sabbagh Molahosseini; Umar Ibrahim Minhas; Yang Hua 001; Jesús Martínez del Rincón; Kiril Dichev; Cheol-Ho Hong; Hans Vandierendonck (CoRR, 2021)

SpaceDML: Enabling Distributed Machine Learning in Space Information Networks. - Hanxi Guo; Qing Yang; Hao Wang 022; Yang Hua 001; Tao Song 003; Ruhui Ma; Haibing Guan (IEEE Netw., 2021)

Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification. - Xiaokang Zhang; Yan Yan 001; Jing-Hao Xue; Yang Hua 001; Hanzi Wang (IEEE Trans. Circuits Syst. Video Technol., 2021)

Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data. - Jiaru Zhang; Ruhui Ma; Tao Song 003; Yang Hua 001; Zhengui Xue; Chenyang Guan; Haibing Guan (Trans. Data Sci., 2021)

Improving Bayesian Neural Networks by Adversarial Sampling. - Jiaru Zhang; Yang Hua 001; Tao Song 003; Hao Wang 022; Zhengui Xue; Ruhui Ma; Haibing Guan (AAAI, 2022)

Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency. - Guanxiong Sun; Yang Hua 001; Guosheng Hu; Neil Robertson 002 (ECCV (35), 2022)

TDViT: Temporal Dilated Video Transformer for Dense Video Tasks. - Guanxiong Sun; Yang Hua 001; Guosheng Hu; Neil Robertson 002 (ECCV (35), 2022)

Hierarchical CADNet: Learning from B-Reps for Machining Feature Recognition. - Andrew R. Colligan; Trevor T. Robinson; Declan C. Nolan; Yang Hua 001; Weijuan Cao (Comput. Aided Des., 2022)

ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State. - Xinshao Wang; Yang Hua 001; Elyor Kodirov; Sankha Subhra Mukherjee; David A. Clifton; Neil M. Robertson (CoRR, 2022)

Ranked List Loss for Deep Metric Learning. - Xinshao Wang; Yang Hua 001; Elyor Kodirov; Neil M. Robertson (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks. - Zongpu Zhang; Tao Song 003; Liwei Lin; Yang Hua 001; Xufeng He; Zhengui Xue; Ruhui Ma; Haibing Guan (IEEE Trans. Big Data, 2022)

FedALA: Adaptive Local Aggregation for Personalized Federated Learning. - Jianqing Zhang; Yang Hua 001; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (AAAI, 2023)

Information Bound and Its Applications in Bayesian Neural Networks. - Jiaru Zhang; Yang Hua 001; Tao Song 003; Hao Wang 022; Zhengui Xue; Ruhui Ma; Haibing Guan (ECAI, 2023)

Cross-Domain Learning with Normalizing Flow. - Chi Wang; Jian Gao 018; Yang Hua 001; Hui Wang 001 (ICASSP, 2023)

Flowreg: Latent Space Regularization Using Normalizing Flow For Limited Samples Learning. - Chi Wang; Jian Gao 018; Yang Hua 001; Hui Wang 001 (ICASSP, 2023)

Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion. - Rui Zhang 087; Yang Hua 001; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (ICASSP, 2023)

Spatio-temporal Prompting Network for Robust Video Feature Extraction. - Guanxiong Sun; Chi Wang; Zhaoyu Zhang; Jiankang Deng; Stefanos Zafeiriou; Yang Hua 001 (ICCV, 2023)

GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. - Jianqing Zhang; Yang Hua 001; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Jian Cao; Haibing Guan (ICCV, 2023)

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. - Chumeng Liang; Xiaoyu Wu; Yang Hua 001; Jiaru Zhang; Yiming Xue; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (ICML, 2023)

FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. - Jianqing Zhang; Yang Hua 001; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (KDD, 2023)

Self-supervised Multi-object Tracking with Cycle-Consistency. - Yuanhang Yin; Yang Hua 001; Tao Song 003; Ruhui Ma; Haibing Guan (MMM (2), 2023)

Eliminating Domain Bias for Federated Learning in Representation Space. - Jianqing Zhang; Yang Hua 001; Jian Cao; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (NeurIPS, 2023)

Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs. - Zinuo Cai; Hao Wang 022; Tao Song 003; Yang Hua 001; Ruhui Ma; Haibing Guan (CoRR, 2023)

PFLlib: Personalized Federated Learning Algorithm Library. - Jianqing Zhang; Yang Liu 165; Yang Hua 001; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Jian Cao (CoRR, 2023)

Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. - JunKyu Lee; Lev Mukhanov; Amir Sabbagh Molahosseini; Umar Ibrahim Minhas; Yang Hua 001; Jesús Martínez del Rincón; Kiril Dichev; Cheol-Ho Hong; Hans Vandierendonck (ACM Comput. Surv., 2023)

Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation. - Yuxin Ma; Shuo Wang 008; Yang Hua 001; Ruhui Ma; Tao Song 003; Zhengui Xue; Heng Cao; Haibing Guan (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

WH2D2N2: Distributed AI-enabled OK-ASN Service for Web of Things. - Kun Liang; Ruhui Ma; Yang Hua 001; Hao Wang 022; Ningxin Hu; Tao Song 003; Honghao Gao; Haibing Guan (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Discrepancy-Guided Domain-Adaptive Data Augmentation. - Jian Gao 018; Yang Hua 001; Guosheng Hu; Chi Wang; Neil M. Robertson (IEEE Trans. Neural Networks Learn. Syst., 2023)

Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing. - Hanfei Yu; Jian Li 008; Yang Hua 001; Xu Yuan 001; Hao Wang 022 (AAAI, 2024)

FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning. - Jianqing Zhang; Yang Liu 165; Yang Hua 001; Jian Cao (AAAI, 2024)

CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. - Xiaoyu Wu; Yang Hua 001; Chumeng Liang; Jiaru Zhang; Hao Wang 022; Tao Song 003; Haibing Guan (CVPR, 2024)

An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning. - Jianqing Zhang; Yang Liu 165; Yang Hua 001; Jian Cao (CVPR, 2024)

SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks. - Peishen Yan; Hao Wang 022; Tao Song 003; Yang Hua 001; Ruhui Ma; Ningxin Hu; Mohammad Reza Haghighat; Haibing Guan (ECCV (19), 2024)

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. - Haomin Zhuang; Mingxian Yu; Hao Wang 022; Yang Hua 001; Jian Li 008; Xu Yuan 001 (ICLR, 2024)

MVRMLM 2024: Multimodal Video Retrieval and Multimodal Language Modelling. - Hui Wang 001; Josef Kittler; Mark J. F. Gales; Rob Cooper; Maurice D. Mulvenna; Wing W. Y. Ng; Yang Hua 001; Richard Gault; Abbas Haider; Guanfeng Wu (ICMR, 2024)

Improving the Training of the GANs with Limited Data via Dual Adaptive Noise Injection. - Zhaoyu Zhang; Yang Hua 001; Guanxiong Sun; Hui Wang 001; Seán F. McLoone (ACM Multimedia, 2024)

Improving the Leaking of Augmentations in Data-Efficient GANs via Adaptive Negative Data Augmentation. - Zhaoyu Zhang; Yang Hua 001; Guanxiong Sun; Hui Wang 001; Seán F. McLoone (WACV, 2024)

Improving the Fairness of the Min-Max Game in GANs Training. - Zhaoyu Zhang; Yang Hua 001; Hui Wang 001; Seán F. McLoone (WACV, 2024)

Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks. - Xiaoyu Wu; Jiaru Zhang; Yang Hua 001; Bohan Lyu 001; Hao Wang 022; Tao Song 003; Haibing Guan (CoRR, 2024)

Poisoning with A Pill: Circumventing Detection in Federated Learning. - Hanxi Guo; Hao Wang 022; Tao Song 003; Tianhang Zheng; Yang Hua 001; Haibing Guan; Xiangyu Zhang 001 (CoRR, 2024)

FedL2G: Learning to Guide Local Training in Heterogeneous Federated Learning. - Jianqing Zhang; Yang Liu 165; Yang Hua 001; Jian Cao; Qiang Yang 001 (CoRR, 2024)

Unpaired Caricature-Visual Face Recognition via Feature Decomposition-Restoration-Decomposition. - Yang Xu; Yan Yan 001; Jing-Hao Xue; Yang Hua 001; Hanzi Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Siren$^+$+: Robust Federated Learning With Proactive Alarming and Differential Privacy. - Hanxi Guo; Hao Wang 022; Tao Song 003; Yang Hua 001; Ruhui Ma; Xiulang Jin; Zhengui Xue; Haibing Guan (IEEE Trans. Dependable Secur. Comput., 2024)

Robust Searching-Based Gradient Collaborative Management in Intelligent Transportation System. - Hongjian Shi; Hao Wang 022; Ruhui Ma; Yang Hua 001; Tao Song 003; Honghao Gao; Haibing Guan (ACM Trans. Multim. Comput. Commun. Appl., 2024)

OFL-W3: A One-shot Federated Learning System on Web 3.0. - Linshan Jiang; Moming Duan; Bingsheng He; Yulin Sun; Peishen Yan; Yang Hua 001; Tao Song 003 (Proc. VLDB Endow., 2024)

Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning. - Jiaru Zhang; Rui Ding 001; Qiang Fu 015; Bojun Huang; Zizhen Deng; Yang Hua 001; Haibing Guan; Shi Han; Dongmei Zhang 001 (AISTATS, 2025)

Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling. - Zhaoyu Zhang; Yang Hua 001; Guanxiong Sun; Hui Wang 001; Seán F. McLoone (CVPR, 2025)

FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding. - Peishen Yan; Jun Li 004; Hao Wang 022; Tao Song 003; Yang Hua 001; Peng Lu; Haihui Zhou; Haibing Guan (CoRR, 2025)

THOR: A Generic Energy Estimation Approach for On-Device Training. - Jiaru Zhang; Zesong Wang; Hao Wang 022; Tao Song 003; Huai-an Su; Rui Chen 026; Yang Hua 001; Xiangwei Zhou; Ruhui Ma; Miao Pan; Haibing Guan (CoRR, 2025)

DHLA: Dynamic Hybrid Label Assignment for End-to-End Object Detection. - Zhiliang Hu; Si Chen 002; Yang Hua 001; Da-Han Wang; Shunzhi Zhu; Yan Yan 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark. - Jianqing Zhang; Xinghao Wu; Yanbing Zhou; Xiaoting Sun; Qiqi Cai; Yang Liu 165; Yang Hua 001; Zhenzhe Zheng; Jian Cao; Qiang Yang 001 (CoRR, 2025)

PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs. - Jianqing Zhang; Yang Liu 165; Jie Fu; Yang Hua 001; Tianyuan Zou; Jian Cao; Qiang Yang 001 (CoRR, 2025)

Hierarchical Attention-Enhanced Correlation Refinement for Robust Visual Tracking. - Si Chen 002; Rui Xu 028; Yan Yan 001; Yang Hua 001; Da-Han Wang; Shunzhi Zhu (IEEE Trans. Intell. Transp. Syst., 2025)