Publications

Most of my papers listed below are published in top-tier international conferences and journals in the field of computer vision, machine learning, artificial intelligence and multimedia, which are very selective with an acceptance rate in general below 25%.

2026

  1. KDD
    Exploring Diffusion Models’ Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks
    Xiaoyu Wu, Jiaru Zhang, Yang Hua, Bohan Lyu, Hao Wang, Tao Song, and Haibing Guan
    In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026
  2. AAAI
    Poisoning with A Pill: Circumventing Detection in Federated Learning
    Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, and Xiangyu Zhang
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2026

2025

  1. ICCV
    Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment
    Qingqian Yang, Peishen Yan, Xiaoyu Wu, Jiaru Zhang, Tao Song, Yang Hua, Hao Wang, Liangliang Wang, and Haibing Guan
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  2. KDD
    Ht-FLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
    Jianqing Zhang, Xinghao Wu, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, and Qiang Yang
    In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
    Runner Ups for the Best Paper – Dataset and Benchmark Track
  3. ICML
    Differentially Private Synthetic Image Generation with Few-Shot Data and Generative APIs
    Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, and Qiang Yang
    In Proceedings of the International Conference on Machine Learning (ICML), 2025
    Spotlight
  4. ICML
    Training Diffusion-based Generative Models with Limited Data
    Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, and Seán McLoone
    In Proceedings of the International Conference on Machine Learning (ICML), 2025
  5. CVPR
    Improving the Training of Data Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling
    Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, and Seán McLoone
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  6. AISTATS
    Learning Identifiable Structures Avoids Bias in DNN-based Supervised Causal Learning
    Jiaru Zhang, Rui Ding, Qiang Fu, Huang Bojun, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, and Dongmei Zhang
    In Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
  7. TCSVT
    CAMD: Context-Aware Masked Distillation for General Self-Supervised Facial Representation Pre-Training
    Sensen Wang, Si Chen, Da-Han Wang, Yang Hua, and Yan Yan
    IEEE Transactions on Circuits and Systems for Video Technology, 2025
  8. TMM
    Hierarchical Token-Aware Cross-Modality Reconstruction for Visible-Infrared Person Re-Identification
    Si Chen, Liuxiang Qiu, Da-Han Wang, Wentao Zhu, Yang Hua, and Yan Yan
    IEEE Transactions on Multimedia, 2025

2024

  1. ACMMM
    Improving the Training of the GANs with Limited Data via Dual Adaptive Noise Injection
    Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, and Seán McLoone
    In Proceedings of the ACM Multimedia Conference (ACMMM), 2024
  2. ECCV
    SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks
    Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad Reza Haghighat, and Haibing Guan
    In Proceedings of the European Conference on Computer Vision (ECCV), 2024
  3. CVPR
    CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
    Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, and Haibing Guan
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  4. CVPR
    An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
    Jianqing Zhang, Yang Liu, Yang Hua, and Jian Cao
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  5. VLDB
    OFL-W3: A One-shot Federated Learning System on Web 3.0
    Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, and Tao Song
    In Proceedings of the International Conference on Very Large Databases (VLDB), 2024
    Demonstration Track
  6. ICLR
    Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
    Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, and Xu Yuan
    In Proceedings of the International Conference on Learning Representations (ICLR), 2024
  7. AAAI
    Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing
    Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, and Hao Wang
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024
  8. AAAI
    FedTGP: Heterogeneous Federated Learning via Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning
    Jianqing Zhang, Yang Liu, Yang Hua, and Jian Cao
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024
  9. WACV
    Improving the Fairness of the Min-Max Game in GANs Training
    Zhaoyu Zhang, Yang Hua, Hui Wang, and Seán McLoone
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
    Oral
  10. WACV
    Improving the Leaking of Augmentations in Data-Efficient GANs via Adaptive Negative Data Augmentation
    Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, and Seán McLoone
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
  11. JMLR
    PFLlib: Personalized Federated Learning Algorithm Library
    Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, and Jian Cao
    Journal of Machine Learning Research, 2024
  12. TCSVT
    DHLA: Dynamic Hybrid Label Assignment for End-to-End Object Detection
    Zhiliang Hu, Si Chen, Yang Hua, Da-Han Wang, Shunzhi Zhu, and Yan Yan
    IEEE Transactions on Circuits and Systems for Video Technology, 2024
  13. TCSVT
    Unpaired Caricature-Visual Face Recognition via Feature Decomposition-Restoration-Decomposition
    Yang Xu, Yan Yan, Jing-Hao Xue, Yang Hua, and Hanzi Wang
    IEEE Transactions on Circuits and Systems for Video Technology, 2024
  14. TDS
    Siren+: Robust Federated Learning with Proactive Alarming and Differential Privacy
    Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Xiulang Jin, Zhengui Xue, and Haibing Guan
    IEEE Transactions on Dependable and Secure Computing, 2024

2023

  1. NeurIPS
    Eliminating Domain Bias for Federated Learning in Representation Space
    Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2023
  2. ECAI
    Information Bound and its Applications in Bayesian Neural Networks
    Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Proceedings of the European Conference on Artificial Intelligence (ECAI), 2023
  3. ICCV
    Spatio-temporal Prompting Network for Robust Video Feature Extraction
    Guanxiong Sun, Chi Wang, Zhaoyu Zhang, Jiankang Deng, Stefanos Zafeiriou, and Yang Hua
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
  4. ICCV
    GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
    Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
  5. KDD
    FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
    Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
  6. ICML
    Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
    Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Proceedings of the International Conference on Machine Learning (ICML), 2023
    Oral
  7. ICASSP
    Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion
    Rui Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
  8. ICASSP
    Cross-Domain Learning with Normalizing Flow
    Chi Wang, Jian Gao, Yang Hua, and Hui Wang
    In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
    Oral
  9. ICASSP
    FlowReg: Latent Space Regularization using Normalizing Flow for Limited Samples Learning
    Chi Wang, Jian Gao, Yang Hua, and Hui Wang
    In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
  10. AAAI
    FedALA: Adaptive Local Aggregation for Personalized Federated Learning
    Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023
    Oral
  11. MMM
    Self-supervised Multi-object Tracking with Cycle-consistency
    Yuanhang Yin, Yang Hua, Tao Song, Ruhui Ma, and Haibin Guan
    In Proceedings of the International Conference on Multimedia Modeling (MMM), 2023
  12. TCBB
    MCAS-GP: Deep Learning-Empowered Middle Cerebral Artery Segmentation and Gate Proposition
    Rui Zhang, Shuo Wang, Ruhui Ma, Yang Hua, Tao Song, Yunyun Cao, and Haibing Guan
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023
  13. CSUR
    Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
    JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Minhas, Yang Hua, Jesus Martinez Rincon, Kiril Dichev, Cheol-Ho Hong, and Hans Vandierendonck
    ACM Computing Surveys, 2023
  14. TNNLS
    Discrepancy-Guided Domain-Adaptive Data Augmentation
    Jian Gao, Yang Hua†, Guosheng Hu, Chi Wang, and Neil Robertson
    IEEE Transactions on Neural Networks and Learning Systems, 2023
    † corresponding author

2022

  1. ECCV
    TDViT: Temporal Dilated Transformer for Dense Video Tasks
    Guanxiong Sun, Yang Hua, Guosheng Hu, and Neil Robertson
    In Proceedings of the European Conference on Computer Vision (ECCV), 2022
  2. ECCV
    Efficient One-stage Video Object Detection by Exploiting Temporal Consistency
    Guanxiong Sun, Yang Hua, Guosheng Hu, and Neil Robertson
    In Proceedings of the European Conference on Computer Vision (ECCV), 2022
  3. AAAI
    Improving Bayesian Neural Networks by Adversarial Sampling
    Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022
  4. TPAMI
    Ranked List Loss for Deep Metric Learning
    Xinshao Wang, Yang Hua†, Elyor Kodirov, and Neil Robertson
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
    † corresponding author
  5. TBD
    Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks
    Zongpu Zhang, Tao Song, Liwei Lin, Yang Hua, Xufeng He, Zhengui Xue, Ruhui Ma, and Haibing Guan
    IEEE Transactions on Big Data, 2022
  6. TDS
    Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data
    Jiaru Zhang, Ruhui Ma, Tao Song, Yang Hua, Zhengui Xue, Chenyang Guan, and Haibing Guan
    ACM/IMS Transactions on Data Science, 2022
  7. TCBB
    Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation
    Yuxin Ma, Shuo Wang, Yang Hua, Ruhui Ma, Tao Song, Zhengui Xue, Heng Cao, and Haibing Guan
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022
  8. TOMM
    Robust Searching-based Gradient Collaborative Management in Intelligent Transportation System
    Hongjian Shi, Hao Wang, Ruhui Ma, Yang Hua, Tao Song, Honghao Gao, and Haibing Guan
    ACM Transactions on Multimedia Computing, Communications, and Applications, 2022
  9. CAD
    Hierarchical CADNet: Learning from B\text-Reps for Machining Feature Recognition
    Andrew R. Colligan, Trevor T. Robinson, Declan C. Nolan, Yang Hua, and Weijuan Cao
    CAD Computer Aided Design, 2022

2021

  1. BMVC
    Temporal Meta-Adaptor for Video Object Detection
    Chi Wang, Yang Hua, Zheng Lu, Jian Gao, and Neil Robertson
    In Proceedings of the British Machine Vision Conference (BMVC), 2021
    Oral
  2. SoCC
    Siren: Byzantine-robust Federated Learning via Proactive Alarming
    Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Proceedings of the ACM Symposium on Cloud Computing (SoCC), 2021
  3. ICCV
    Self-Supervised Vessel Segmentation via Adversarial Learning
    Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, and Haibing Guan
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021
  4. CISP-BMEI
    Positional Mask Attention for Video Sequence Modeling
    Jiaxuan Wang, Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan
    In Proceedings of the International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2021
  5. ICIP
    Fast and Accurate Scene Parsing via Bi-Direction Alignment Networks
    Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, and Haibing Guan
    In Proceedings of the IEEE International Conference on Image Processing (ICIP), 2021
  6. IJCAI
    Themis: A Fair Evaluation Platform for Computer Vision Competitions
    Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, and Haibing Guan
    In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2021
  7. CVPR
    Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization
    Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Chengyu Zheng, Ruhui Ma, and Haibing Guan
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  8. CVPR
    ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks
    Xinshao Wang, Yang Hua, Elyor Kodirov, David Clifton, and Neil Robertson
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  9. ICASSP
    Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking
    Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, and Haibing Guan
    In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
  10. AAAI
    MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection
    Guanxiong Sun, Yang Hua, Guosheng Hu, and Neil Robertson
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021
  11. NETWORK
    SpaceDML: Enabling Distributed Machine Learning in Space Information Networks
    Hanxi Guo, Qing Yang, Hao Wang, Yang Hua, Tao Song, Ruihui Ma, and Hanbing Guan
    IEEE Network, 2021
  12. TCSVT
    Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification
    Xiaokang Zhang, Yan Yan, Jing-Hao Xue, Yang Hua, and Hanzi Wang
    IEEE Transactions on Circuits and Systems for Video Technology, 2021

2020

  1. CAD
    Point Cloud Dataset Creation for Machine Learning on CAD Models
    Andrew R. Colligan, Trevor T. Robinson, Declan C. Nolan, and Yang Hua
    In Proceedings of the CAD Conference and Exhibition, 2020
  2. ICPR
    VTT: Long-term Visual Tracking with Transformers
    Tianling Bian, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, and Haibing Guan
    In Proceedings of the International Conference on Pattern Recognition (ICPR), 2020
    Oral
  3. ECCV
    Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning
    Jian Gao, Yang Hua, Guosheng Hu, Chi Wang, and Neil Robertson
    In Proceedings of the European Conference on Computer Vision (ECCV), 2020
  4. ICIP
    Improving Detection and Recognition of Degraded Faces by Discriminative Feature Restoration Using GAN
    Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, and Neil Robertson
    In Proceedings of the IEEE International Conference on Image Processing (ICIP), 2020
  5. IDETC/CIE
    Graph Representation of 3D CAD Models for Machining Feature Recognition with Deep Learning
    Weijuan Cao, Trevor Robinson, Yang Hua, Flavien Boussuge, Andrew R. Colligan, and Wanbin Pan
    In Proceedings of the International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), 2020
  6. AAAI
    Reinforcing Neural Network Stability with Attractor Dynamics
    Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, and Haibing Guan
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020
    Spotlight
  7. AAAI
    Learning Deep Relations to Promote Saliency Detection
    Changrui Chen, Xin Sun, Yang Hua, Junyu Dong, and Hongwei Xv
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020
    Oral
  8. NEUCOM
    Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation
    Yihan Du, Yan Yan, Si Chen, and Yang Hua
    Neurocomputing, 2020
  9. CADA
    Point Cloud Dataset Creation for Machine Learning on CAD Models
    Andrew R. Colligan, Trevor T. Robinson, Declan C. Nolan, and Yang Hua
    Computer-Aided Design and Applications, 2020
  10. ACCESS
    An RSS-Based Classification of User Equipment Usage in Indoor Millimeter Wave Wireless Networks using Machine Learning
    Lei Zhang, Yang Hua, Simon L. Cotton, Seong Ki Yoo, Claudio R. C. M. Da Silva, and William G. Scanlon
    IEEE Access, 2020
  11. NEUCOM
    Video Salient Object Detection via Spatiotemporal Attention Neural Networks
    Yi Tang, Wenbin Zou, Yang Hua, Zhi Jin, and Xia Lia
    Neurocomputing, 2020

2019

  1. ICCV
    Object Guided External Memory Network for Video Object Detection
    Hanming Deng, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Robertson, and Haibing Guan
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019
  2. ACMMM
    Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks
    Xufeng He, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Robertson, and Haibing Guan
    In Proceedings of the ACM Multimedia Conference (ACMMM), 2019
    Oral
  3. BMVC
    SC-RANK: Improving Convolutional Image Captioning with Self-Critical Learning and Ranking Metric-based Reward
    Shiyang Yan, Yang Hua, and Neil Robertson
    In Proceedings of the British Machine Vision Conference (BMVC), 2019
  4. CVPR
    Ranked List Loss for Deep Metric Learning
    Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, and Neil Robertson
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
  5. AAAI
    Deep Metric Learning by Online Soft Mining and Class-Aware Attention
    Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, and Neil Robertson
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2019
    Oral
  6. WACV
    GAN-based Pose-aware Regulation for Video-based Person Re-identification
    Alessandro Borgia, Yang Hua, Elyor Kodirov, and Neil Robertson
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2019
    Oral
  7. WACV
    IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network
    Soumya Ghosh, Yang Hua, Sankha Subhra Mukherjee, and Neil Robertson
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2019
    Oral
  8. TCSVT
    Weakly Supervised Salient Object Detection with Spatiotemporal Cascade Neural Networks
    Yi Tang, Wenbin Zou, Yang Yuan, Zhi Jin, Yuhuan Chen, Yang Hua, and Xia Li
    IEEE Transactions on Circuits and Systems for Video Technology, 2019

2018

  1. BIBM
    Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images
    Shuo Wang, Yang Hua, Yunyun Cao, Tao Song, Zhengui Xue, Xiaoping Gong, Guanjie Wang, Ruhui Ma, and Haibing Guan
    In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018
  2. ACMMM
    Tracking-assisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos
    Zongpu Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, and Haibing Guan
    In Proceedings of the ACM Multimedia Conference (ACMMM), 2018
  3. ECCV
    Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States
    Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy Hospedales, Neil Robertson, and Yongxin Yang
    In Proceedings of the European Conference on Computer Vision (ECCV), 2018
  4. ICPR
    Object-Adaptive LSTM Network for Visual Tracking
    Yihan Du, Yan Yan, Si Chen, Yang Hua, and Hanzi Wang
    In Proceedings of the International Conference on Pattern Recognition (ICPR), 2018
  5. TIP
    Cross-view Discriminative Feature Learning for Person Re-Identification
    Alessandro Borgia, Yang Hua†, Elyor Kodirov, and Neil Robertson
    IEEE Transactions on Image Processing, 2018
    † corresponding author

2017

  1. ICCV
    Attribute-Enhanced Face Recognition with Neural Tensor Fusion Network
    Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil M. Robertson, and Yongxin Yang
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2017
    Spotlight
  2. IMVIP
    A Tale of Two Losses: Discriminative Deep Feature Learning for Person Re-Identification
    Alessandro Borgia, Yang Hua, and Neil M. Robertson
    In Proceedings of the Irish Machine Vision and Image Processing Conference (IMVIP), 2017
    Oral

2015

  1. ICCV
    Online Object Tracking with Proposal Selection
    Yang Hua, Karteek Alahari, and Cordelia Schmid
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2015
  2. TPAMI
    Contextualizing Object Detection and Classification
    Qiang Chen, Zheng Song, Jian Dong, Zhongyang Huang, Yang Hua, and Shuicheng Yan
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015

2014

  1. ECCV
    Occlusion and Motion Reasoning for Long-term Tracking
    Yang Hua, Karteek Alahari, and Cordelia Schmid
    In Proceedings of the European Conference on Computer Vision (ECCV), 2014

2013

  1. TMM
    VideoPuzzle: Descriptive One-shot Video Composition
    Qiang Chen, Meng Wang, Zhongyang Huang, Yang Hua, Zheng Song, and Shuicheng Yan
    IEEE Transactions on Multimedia, 2013

2012

  1. CVPR
    Hierarchical Matching with Side Information for Image Classification
    Qiang Chen, Zheng Song, Yang Hua, Zhongyang Huang, and Shuicheng Yan
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2012

2011

  1. CVPR
    Contextualizing Object Detection and Classification
    Zheng Song, Qiang Chen, Zhongyang Huang, Yang Hua, and Shuicheng Yan
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2011

2008

  1. ICIA
    Analysis of the Packet Transferring in L2CAP Layer of Bluetooth v2.x+EDR
    Yang Hua and Yuexian Zou
    In Proceedings of the IEEE International Conference on Information and Automation (ICIA), 2008