Yang Hua

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 113

Top Venues

Grenoble Alpes University, France (PHD)

Education History

Grenoble Alpes University, France

PHD

Publications

Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning. AAAI (2024)
Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, Xiangyu Zhang
Poisoning with A Pill: Circumventing Detection in Federated Learning. CoRR (2024)
Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson
MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection. CoRR (2024)
Hongjian Shi, Hao Wang, Ruhui Ma, Yang Hua, Tao Song, Honghao Gao, Haibing Guan
Robust Searching-Based Gradient Collaborative Management in Intelligent Transportation System. ACM Trans. Multim. Comput. Commun. Appl. 20 (2) (2024)
Guanxiong Sun, Chi Wang, Zhaoyu Zhang, Jiankang Deng, Stefanos Zafeiriou, Yang Hua
Spatio-temporal Prompting Network for Robust Video Feature Extraction. CoRR (2024)
Zhaoyu Zhang, Yang Hua, Hui Wang, Seán F. McLoone
Improving the Fairness of the Min-Max Game in GANs Training. WACV (2024)
Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, Seán F. McLoone
Improving the Leaking of Augmentations in Data-Efficient GANs via Adaptive Negative Data Augmentation. WACV (2024)
Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. CoRR (2024)
Xiaoyu Wu, Jiaru Zhang, Yang Hua, Bohan Lyu, Hao Wang, Tao Song, Haibing Guan
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks. CoRR (2024)
Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning. CoRR (2024)
Hui Wang, Josef Kittler, Mark J. F. Gales, Rob Cooper, Maurice D. Mulvenna, Wing Ng, Yang Hua, Richard Gault, Abbas Haider, Guanfeng Wu
MVRMLM 2024: Multimodal Video Retrieval and Multimodal Language Modelling. ICMR (2024)
Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson
TDViT: Temporal Dilated Video Transformer for Dense Video Tasks. CoRR (2024)
Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang
Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing. AAAI (2024)
Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning. CoRR (2024)
Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. ICLR (2024)
Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson
Efficient One-stage Video Object Detection by Exploiting Temporal Consistency. CoRR (2024)
Yuxin Ma, Shuo Wang, Yang Hua, Ruhui Ma, Tao Song, Zhengui Xue, Heng Cao, Haibing Guan
Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (4) (2023)
Rui Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion. ICASSP (2023)
Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. ICML (2023)
Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
Eliminating Domain Bias for Federated Learning in Representation Space. NeurIPS (2023)
Wei Zhang, Qinghao Yuan, Yifan Xu, Xuguang Wang, Shuzhan Bai, Lei Zhao, Yang Hua, Xiaoxu Ma
Research on Control Strategy of Electro-Hydraulic Lifting System Based on AMESim and MATLAB. Symmetry 15 (2) (2023)
Guanxiong Sun, Chi Wang, Zhaoyu Zhang, Jiankang Deng, Stefanos Zafeiriou, Yang Hua
Spatio-temporal Prompting Network for Robust Video Feature Extraction. ICCV (2023)
Yuanhang Yin, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan
Self-supervised Multi-object Tracking with Cycle-Consistency. MMM (2) (2023)
Shichun Yang, Zheng Zuo, Bin Ma, Yifan Zheng, Sida Zhou, Liu Mingyan, Lu Yu, Qiangwei Li, Xinan Zhou, Mengyue Zhang, Yang Hua, Fei Chen, Yaoguang Cao
Essential Technics of Cybersecurity for Intelligent Connected Vehicles: Comprehensive Review and Perspective. IEEE Internet Things J. 10 (24) (2023)
Chi Wang, Jian Gao, Yang Hua, Hui Wang
Cross-Domain Learning with Normalizing Flow. ICASSP (2023)
Yang Hua, Xiaoning Song, Zhen-Hua Feng, Xiaojun Wu
MFR-DTA: a multi-functional and robust model for predicting drug-target binding affinity and region. Bioinform. 39 (2) (2023)
Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. KDD (2023)
Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. CoRR (2023)
Nana Tao, Yang Hua, Chunxiao Ding
Pth moment attractivity analysis for first order uncertain differential systems. J. Intell. Fuzzy Syst. 45 (5) (2023)
Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. AAAI (2023)
Kun Liang, Ruhui Ma, Yang Hua, Hao Wang, Ningxin Hu, Tao Song, Honghao Gao, Haibing Guan
: Distributed AI-enabled OK-ASN Service for Web of Things. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (5) (2023)
Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao
PFLlib: Personalized Federated Learning Algorithm Library. CoRR (2023)
Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. CoRR (2023)
Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. CoRR (2023)
Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
Eliminating Domain Bias for Federated Learning in Representation Space. CoRR (2023)
Chi Wang, Jian Gao, Yang Hua, Hui Wang
Flowreg: Latent Space Regularization Using Normalizing Flow For Limited Samples Learning. ICASSP (2023)
Zinuo Cai, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Haibing Guan
Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs. CoRR (2023)
Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan
Information Bound and Its Applications in Bayesian Neural Networks. ECAI (2023)
Xu Xi, Yang Hua, Yi Chen, Qiande Zhu
Zero-Watermarking for Vector Maps Combining Spatial and Frequency Domain Based on Constrained Delaunay Triangulation Network and Discrete Fourier Transform. Entropy 25 (4) (2023)
Yang Hua, Xiaoning Song, Zhen-Hua Feng, Xiaojun Wu, Josef Kittler, Dong-Jun Yu
CPInformer for Efficient and Robust Compound-Protein Interaction Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck
Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. ACM Comput. Surv. 55 (13s) (2023)
Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. ICCV (2023)
Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. CoRR (2023)
Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad R. Haghighat, Haibing Guan
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks. CoRR (2023)
Jian Gao, Yang Hua, Guosheng Hu, Chi Wang, Neil M. Robertson
Discrepancy-Guided Domain-Adaptive Data Augmentation. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Yanchao Yuan, Cancheng Li, Lu Xu, Shangming Zhu, Yang Hua, Jicong Zhang
Joint Segmentation of Intima-Media Complex and Lumen in Carotid Ultrasound Images. BIBM (2022)
Yanchao Yuan, Cancheng Li, Lu Xu, Ke Zhang, Yang Hua, Jicong Zhang
Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images. CoRR (2022)
Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan
Improving Bayesian Neural Networks by Adversarial Sampling. AAAI (2022)
Yanchao Yuan, Lu Xu, Cancheng Li, Xunming Ji, Yang Hua, Jicong Zhang
A Transfer Learning and Image Augmentation Method for Carotid Artery Vulnerable Plaque Segmentation in Ultrasound Images. AIPR (2022)
Yihao He, Xiaoning Song, Tianyang Xu, Yang Hua, Xiao-Jun Wu
FoGMesh: 3D Human Mesh Recovery in Videos with Focal Transformer and GRU. BMVC (2022)
Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson
Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency. ECCV (35) (2022)
Xinshao Wang, Yang Hua, Elyor Kodirov, Sankha Subhra Mukherjee, David A. Clifton, Neil M. Robertson
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State. CoRR (2022)
Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. CoRR (2022)
Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson
TDViT: Temporal Dilated Video Transformer for Dense Video Tasks. ECCV (35) (2022)
Xinshao Wang, Yang Hua, Elyor Kodirov, Neil M. Robertson
Ranked List Loss for Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Yanchao Yuan, Cancheng Li, Lu Xu, Shangming Zhu, Yang Hua, Jicong Zhang
CSM-Net: Automatic joint segmentation of intima-media complex and lumen in carotid artery ultrasound images. Comput. Biol. Medicine 150 (2022)
Zongpu Zhang, Tao Song, Liwei Lin, Yang Hua, Xufeng He, Zhengui Xue, Ruhui Ma, Haibing Guan
Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks. IEEE Trans. Big Data 8 (3) (2022)
Andrew R. Colligan, Trevor T. Robinson, Declan C. Nolan, Yang Hua, Weijuan Cao
Hierarchical CADNet: Learning from B-Reps for Machining Feature Recognition. Comput. Aided Des. 147 (2022)
Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks. CVPR (2021)
JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. CoRR (2021)
Hanxi Guo, Qing Yang, Hao Wang, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan
SpaceDML: Enabling Distributed Machine Learning in Space Information Networks. IEEE Netw. 35 (4) (2021)
Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson
MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection. AAAI (2021)
Jiaxuan Wang, Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
Positional Mask Attention for Video Sequence Modeling. CISP-BMEI (2021)
Jiaru Zhang, Ruhui Ma, Tao Song, Yang Hua, Zhengui Xue, Chenyang Guan, Haibing Guan
Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data. Trans. Data Sci. 2 (4) (2021)
Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Chengyu Zheng, Ruhui Ma, Haibing Guan
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization. CVPR (2021)
Xiaokang Zhang, Yan Yan, Jing-Hao Xue, Yang Hua, Hanzi Wang
Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 31 (7) (2021)
Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan
Fast and Accurate Scene Parsing via Bi-direction Alignment Networks. CoRR (2021)
Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan
Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking. ICASSP (2021)
Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, Haibing Guan
Self-Supervised Vessel Segmentation via Adversarial Learning. ICCV (2021)
Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, Haibing Guan
Siren: Byzantine-robust Federated Learning via Proactive Alarming. SoCC (2021)
Chi Wang, Yang Hua, Zheng Lu, Jian Gao, Neil Robertson
Temporal Meta-Adaptor for Video Object Detection. BMVC (2021)
Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan
Fast and Accurate Scene Parsing via Bi-Direction Alignment Networks. ICIP (2021)
Fei Chen, Sida Zhou, Yang Hua, Xinan Zhou, Xinhua Liu, Ningning Wu, Jiapeng Xiu, Shichun Yang
A Novel Method of Developing Driving Cycle for Electric Vehicles to Evaluate the Private Driving Habits. IEEE Access 9 (2021)
Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan
Themis: A Fair Evaluation Platform for Computer Vision Competitions. IJCAI (2021)
Tianling Bian, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan
VTT: Long-term Visual Tracking with Transformers. ICPR (2020)
Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan
Reinforcing Neural Network Stability with Attractor Dynamics. AAAI (2020)
Yihan Du, Yan Yan, Si Chen, Yang Hua
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation. CoRR (2020)
Changrui Chen, Xin Sun, Yang Hua, Junyu Dong, Hongwei Xv
Learning Deep Relations to Promote Saliency Detection. AAAI (2020)
Lei Zhang, Yang Hua, Simon L. Cotton, Seong Ki Yoo, Claudio R. C. M. da Silva, William G. Scanlon
An RSS-Based Classification of User Equipment Usage in Indoor Millimeter Wave Wireless Networks Using Machine Learning. IEEE Access 8 (2020)
Yi Tang, Wenbin Zou, Yang Hua, Zhi Jin, Xia Li
Video salient object detection via spatiotemporal attention neural networks. Neurocomputing 377 (2020)
Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil M. Robertson
Improving Detection And Recognition Of Degraded Faces By Discriminative Feature Restoration Using GAN. ICIP (2020)
Jian Gao, Yang Hua, Guosheng Hu, Chi Wang, Neil Martin Robertson
Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning. ECCV (23) (2020)
Xin Liu, Qingcai Chen, Xiangping Wu, Yang Hua, Jing Chen, Dongfang Li, Buzhou Tang, Xiaolong Wang
Gated Semantic Difference Based Sentence Semantic Equivalence Identification. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Shiyang Yan, Yang Hua, Neil Robertson
ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs. CoRR (2020)
Yihan Du, Yan Yan, Si Chen, Yang Hua
Object-adaptive LSTM network for real-time visual tracking with adversarial data augmentation. Neurocomputing 384 (2020)
Shiyang Yan, Yang Hua, Neil Martin Robertson
Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation. CoRR (2020)
Shichun Yang, Yaoguang Cao, Sida Zhou, Yang Hua, Xinan Zhou, Xinhua Liu
A Comprehensive Evaluation on Variable Sampling Intervals of Power Battery System for Electric Vehicles. IEEE Access 8 (2020)
Xinshao Wang, Yang Hua, Elyor Kodirov, Neil Martin Robertson
ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise. CoRR (2020)
Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson
Deep Metric Learning by Online Soft Mining and Class-Aware Attention. AAAI (2019)
Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil Martin Robertson
Ranked List Loss for Deep Metric Learning. CVPR (2019)
Hanming Deng, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan
Object Guided External Memory Network for Video Object Detection. ICCV (2019)
Xufeng He, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan
Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks. ACM Multimedia (2019)
Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson
Instance Cross Entropy for Deep Metric Learning. CoRR (2019)
Xinshao Wang, Yang Hua, Elyor Kodirov, Neil Martin Robertson
Emphasis Regularisation by Gradient Rescaling for Training Deep Neural Networks with Noisy Labels. CoRR (2019)
Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Martin Robertson
IEGAN: Multi-Purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network. WACV (2019)
Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson
ID-aware Quality for Set-based Person Re-identification. CoRR (2019)
Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson
Improving MAE against CCE under Label Noise. CoRR (2019)
Yi Tang, Wenbin Zou, Zhi Jin, Yuhuan Chen, Yang Hua, Xia Li
Weakly Supervised Salient Object Detection With Spatiotemporal Cascade Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 29 (7) (2019)
Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil Martin Robertson
Ranked List Loss for Deep Metric Learning. CoRR (2019)
Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil Martin Robertson
GAN-Based Pose-Aware Regulation for Video-Based Person Re-Identification. WACV (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yang Hua