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2020 – today
- 2025
[j32]Yang Hua
, Zhenhua Feng, Xiaoning Song, Xiaojun Wu, Josef Kittler:
MMDG-DTI: Drug-target interaction prediction via multimodal feature fusion and domain generalization. Pattern Recognit. 157: 110887 (2025)- 2024
- [j31]Yibo Lou, Wenjie Zhang, Xiaoning Song, Yang Hua, Xiao-Jun Wu:
EDS: Exploring deeper into semantics for video captioning. Pattern Recognit. Lett. 186: 133-140 (2024) - [j30]Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song:
OFL-W3: A One-shot Federated Learning System on Web 3.0. Proc. VLDB Endow. 17(12): 4461-4464 (2024) - [j29]Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Xiulang Jin, Zhengui Xue, Haibing Guan:
Siren$^+$+: Robust Federated Learning With Proactive Alarming and Differential Privacy. IEEE Trans. Dependable Secur. Comput. 21(5): 4843-4860 (2024) - [j28]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): 34:1-34:23 (2024) - [c61]Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang:
Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing. AAAI 2024: 16539-16547 - [c60]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: 16768-16776 - [c59]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. CVPR 2024: 10812-10821 - [c58]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. CVPR 2024: 12109-12119 - [c57]Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan:
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. ICLR 2024 - [c56]Zun Wang, Yang Hua, Xiaoning Song, Wenjie Zhang, Xiao-Jun Wu:
Updating Depth-aware Feature in the Feedback Loop for Human Mesh Recovery. IJCNN 2024: 1-8 - [c55]Hui Wang, Josef Kittler, Mark J. F. Gales, Rob Cooper, Maurice D. Mulvenna, Wing W. Y. Ng, Yang Hua, Richard Gault, Abbas Haider, Guanfeng Wu:
MVRMLM 2024: Multimodal Video Retrieval and Multimodal Language Modelling. ICMR 2024: 1345-1346 - [c54]Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, Seán F. McLoone:
Improving the Training of the GANs with Limited Data via Dual Adaptive Noise Injection. ACM Multimedia 2024: 6725-6734 - [c53]Xiangxiang Li, Yang Hua, Xiaoning Song, Wenjie Zhang, Xiao-Jun Wu:
FedDCP: Personalized Federated Learning Based on Dual Classifiers and Prototypes. PRCV (1) 2024: 309-322 - [c52]Zhengyu Chen, Xiaoning Song, Yang Hua, Wenjie Zhang:
RRANet: A Reverse Region-Aware Network with Edge Difference for Accurate Breast Tumor Segmentation in Ultrasound Images. PRCV (14) 2024: 504-517 - [c51]Zhaoyu Zhang, Yang Hua, Hui Wang, Seán F. McLoone:
Improving the Fairness of the Min-Max Game in GANs Training. WACV 2024: 2898-2907 - [c50]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: 5400-5409 - [i36]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 abs/2401.03230 (2024) - [i35]Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson:
MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection. CoRR abs/2401.09923 (2024) - [i34]Guanxiong Sun, Chi Wang, Zhaoyu Zhang, Jiankang Deng, Stefanos Zafeiriou, Yang Hua:
Spatio-temporal Prompting Network for Robust Video Feature Extraction. CoRR abs/2402.02574 (2024) - [i33]Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson:
Efficient One-stage Video Object Detection by Exploiting Temporal Consistency. CoRR abs/2402.09241 (2024) - [i32]Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson:
TDViT: Temporal Dilated Video Transformer for Dense Video Tasks. CoRR abs/2402.09257 (2024) - [i31]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 abs/2403.11162 (2024) - [i30]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 abs/2403.15760 (2024) - [i29]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 abs/2405.19931 (2024) - [i28]Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, Xiangyu Zhang:
Poisoning with A Pill: Circumventing Detection in Federated Learning. CoRR abs/2407.15389 (2024) - [i27]Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song:
OFL-W3: A One-shot Federated Learning System on Web 3.0. CoRR abs/2408.07096 (2024) - 2023
- [j27]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) - [j26]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): 276:1-276:36 (2023) - [j25]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): 682 (2023) - [j24]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): 21787-21810 (2023) - [j23]Nana Tao, Yang Hua, Chunxiao Ding:
Pth moment attractivity analysis for first order uncertain differential systems. J. Intell. Fuzzy Syst. 45(5): 8365-8370 (2023) - [j22]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): 435 (2023) - [j21]Kun Liang, Ruhui Ma, Yang Hua, Hao Wang, Ningxin Hu, Tao Song, Honghao Gao, Haibing Guan:
WH2D2N2: Distributed AI-enabled OK-ASN Service for Web of Things. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(5): 145:1-145:16 (2023) - [j20]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): 285-296 (2023) - [j19]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): 2494-2505 (2023) - [j18]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): 5064-5075 (2023) - [c49]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. AAAI 2023: 11237-11244 - [c48]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: 3010-3017 - [c47]Chi Wang, Jian Gao, Yang Hua, Hui Wang:
Cross-Domain Learning with Normalizing Flow. ICASSP 2023: 1-5 - [c46]Chi Wang, Jian Gao, Yang Hua, Hui Wang:
Flowreg: Latent Space Regularization Using Normalizing Flow For Limited Samples Learning. ICASSP 2023: 1-5 - [c45]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: 1-5 - [c44]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: 5018-5028 - [c43]Guanxiong Sun, Chi Wang, Zhaoyu Zhang, Jiankang Deng, Stefanos Zafeiriou, Yang Hua:
Spatio-temporal Prompting Network for Robust Video Feature Extraction. ICCV 2023: 13541-13551 - [c42]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: 20763-20786 - [c41]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: 3249-3261 - [c40]Yuanhang Yin, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan:
Self-supervised Multi-object Tracking with Cycle-Consistency. MMM (2) 2023: 483-495 - [c39]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 - [i26]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 abs/2302.04578 (2023) - [i25]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 abs/2307.01217 (2023) - [i24]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 abs/2307.11339 (2023) - [i23]Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan:
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. CoRR abs/2308.04466 (2023) - [i22]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 abs/2308.10279 (2023) - [i21]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 abs/2311.14975 (2023) - [i20]Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao:
PFLlib: Personalized Federated Learning Algorithm Library. CoRR abs/2312.04992 (2023) - [i19]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 abs/2312.12484 (2023) - 2022
- [j17]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: 103226 (2022) - [j16]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: 106119 (2022) - [j15]Xinshao Wang, Yang Hua, Elyor Kodirov, Neil M. Robertson:
Ranked List Loss for Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5414-5429 (2022) - [j14]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): 644-657 (2022) - [c38]Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan:
Improving Bayesian Neural Networks by Adversarial Sampling. AAAI 2022: 10110-10117 - [c37]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: 427-434 - [c36]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: 1796-1799 - [c35]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: 618 - [c34]Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson:
Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency. ECCV (35) 2022: 1-16 - [c33]Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson:
TDViT: Temporal Dilated Video Transformer for Dense Video Tasks. ECCV (35) 2022: 285-301 - [i18]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 abs/2204.08127 (2022) - [i17]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 abs/2207.00118 (2022) - [i16]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. CoRR abs/2212.01197 (2022) - 2021
- [j13]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: 46476-46486 (2021) - [j12]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): 82-87 (2021) - [j11]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): 2764-2778 (2021) - [j10]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): 32:1-32:15 (2021) - [c32]Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson:
MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection. AAAI 2021: 2620-2627 - [c31]Jiaxuan Wang, Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Positional Mask Attention for Video Sequence Modeling. CISP-BMEI 2021: 1-5 - [c30]Chi Wang, Yang Hua, Zheng Lu, Jian Gao, Neil Robertson:
Temporal Meta-Adaptor for Video Object Detection. BMVC 2021: 221 - [c29]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: 47-60 - [c28]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: 752-761 - [c27]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: 3815-3824 - [c26]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: 2205-2209 - [c25]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: 7516-7525 - [c24]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: 2508-2512 - [c23]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: 599-605 - [i15]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 abs/2105.11651 (2021) - [i14]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 abs/2112.15131 (2021) - 2020
- [j9]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: 14928-14943 (2020) - [j8]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: 156232-156243 (2020) - [j7]Yi Tang, Wenbin Zou, Yang Hua, Zhi Jin, Xia Li:
Video salient object detection via spatiotemporal attention neural networks. Neurocomputing 377: 27-37 (2020) - [j6]Yihan Du, Yan Yan, Si Chen, Yang Hua:
Object-adaptive LSTM network for real-time visual tracking with adversarial data augmentation. Neurocomputing 384: 67-83 (2020) - [j5]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: 2770-2780 (2020) - [c22]Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan:
Reinforcing Neural Network Stability with Attractor Dynamics. AAAI 2020: 3765-3772 - [c21]Changrui Chen, Xin Sun, Yang Hua, Junyu Dong, Hongwei Xv:
Learning Deep Relations to Promote Saliency Detection. AAAI 2020: 10510-10517 - [c20]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: 587-605 - [c19]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: 2146-2150 - [c18]Tianling Bian, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan:
VTT: Long-term Visual Tracking with Transformers. ICPR 2020: 9585-9592 - [i13]Yihan Du, Yan Yan, Si Chen, Yang Hua:
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation. CoRR abs/2002.02598 (2020) - [i12]Shiyang Yan, Yang Hua, Neil Robertson:
ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs. CoRR abs/2004.10258 (2020) - [i11]Xinshao Wang, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise. CoRR abs/2005.03788 (2020) - [i10]Shiyang Yan, Yang Hua, Neil Martin Robertson:
Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation. CoRR abs/2006.11714 (2020)
2010 – 2019
- 2019
- [j4]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): 1973-1984 (2019) - [c17]Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson:
Deep Metric Learning by Online Soft Mining and Class-Aware Attention. AAAI 2019: 5361-5368 - [c16]Shiyang Yan, Yang Hua, Neil Robertson:
SC-RANK: Improving Convolutional Image Captioning with Self-Critical Learning and Ranking Metric-based Reward. BMVC 2019: 85 - [c15]Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil Martin Robertson:
Ranked List Loss for Deep Metric Learning. CVPR 2019: 5207-5216 - [c14]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: 6677-6686 - [c13]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: 2296-2304 - [c12]Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Martin Robertson:
IEGAN: Multi-Purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network. WACV 2019: 11-20 - [c11]Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
GAN-Based Pose-Aware Regulation for Video-Based Person Re-Identification. WACV 2019: 1175-1184 - [i9]Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil Martin Robertson:
Ranked List Loss for Deep Metric Learning. CoRR abs/1903.03238 (2019) - [i8]Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
GAN-based Pose-aware Regulation for Video-based Person Re-identification. CoRR abs/1903.11552 (2019) - [i7]Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson:
Improving MAE against CCE under Label Noise. CoRR abs/1903.12141 (2019) - [i6]Xinshao Wang, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
Emphasis Regularisation by Gradient Rescaling for Training Deep Neural Networks with Noisy Labels. CoRR abs/1905.11233 (2019) - [i5]Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson:
ID-aware Quality for Set-based Person Re-identification. CoRR abs/1911.09143 (2019) - [i4]Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson:
Instance Cross Entropy for Deep Metric Learning. CoRR abs/1911.09976 (2019) - 2018
- [j3]Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
Cross-View Discriminative Feature Learning for Person Re-Identification. IEEE Trans. Image Process. 27(11): 5338-5349 (2018) - [c10]Shuo Wang, Yang Hua, Yunyun Cao, Tao Song, Zhengui Xue, Xiaoping Gong, Guanjie Wang, Ruhui Ma, Haibing Guan:
Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images. BIBM 2018: 532-539 - [c9]Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang:
Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States. ECCV (12) 2018: 106-123 - [c8]Yihan Du, Yan Yan, Si Chen, Yang Hua, Hanzi Wang:
Object-Adaptive LSTM Network for Visual Tracking. ICPR 2018: 1719-1724 - [c7]Zongpu Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan:
Tracking-assisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos. ACM Multimedia 2018: 941-949 - [i3]Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson:
Deep Metric Learning by Online Soft Mining and Class-Aware Attention. CoRR abs/1811.01459 (2018) - [i2]Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Martin Robertson:
IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network. CoRR abs/1811.09134 (2018) - 2017
- [c6]Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang:
Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks. ICCV 2017: 3764-3773 - 2016
- [b1]Yang Hua:
Towards robust visual object tracking : proposal selection and occlusion reasoning. (Vers un suivi robuste d'objets visuels : sélection de propositions et traitement des occlusions). Grenoble Alpes University, France, 2016 - 2015
- [j2]Qiang Chen, Zheng Song, Jian Dong, ZhongYang Huang, Yang Hua, Shuicheng Yan:
Contextualizing Object Detection and Classification. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 13-27 (2015) - [c5]Yang Hua, Karteek Alahari, Cordelia Schmid:
Online Object Tracking with Proposal Selection. ICCV 2015: 3092-3100 - [i1]Yang Hua, Karteek Alahari, Cordelia Schmid:
Online Object Tracking with Proposal Selection. CoRR abs/1509.09114 (2015) - 2014
- [c4]Yang Hua, Karteek Alahari, Cordelia Schmid:
Occlusion and Motion Reasoning for Long-Term Tracking. ECCV (6) 2014: 172-187 - 2013
- [j1]Qiang Chen, Meng Wang, ZhongYang Huang, Yang Hua, Zheng Song, Shuicheng Yan:
VideoPuzzle: Descriptive One-Shot Video Composition. IEEE Trans. Multim. 15(3): 521-534 (2013) - 2012
- [c3]Qiang Chen, Zheng Song, Yang Hua, ZhongYang Huang, Shuicheng Yan:
Hierarchical matching with side information for image classification. CVPR 2012: 3426-3433 - [c2]Han Ma, Jinling Song, Jindi Wang, Yang Hua:
Comparison of the inversion ability in extrapolating forest canopy height by integration of LiDAR data and different optical remote sensing products. IGARSS 2012: 3363-3366 - 2011
- [c1]Zheng Song, Qiang Chen, ZhongYang Huang, Yang Hua, Shuicheng Yan:
Contextualizing object detection and classification. CVPR 2011: 1585-1592
Coauthor Index
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