Yongxin Yang

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 142

Top Venues

Queen Mary University of London, UK (PHD)

Education History

Queen Mary University of London, UK

PHD

Publications

Xiaoming Jiang, Yongxin Yang, Tong Su, Kai Xiao, Lidan Lu, Wei Wang, Changsong Guo, Lizhi Shao, Mingjing Wang, Dong Jiang
Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation. Comput. Medical Imaging Graph. 116 (2024)
Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation. CoRR (2024)
Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. CoRR (2024)
Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
MixStyle Neural Networks for Domain Generalization and Adaptation. Int. J. Comput. Vis. 132 (3) (2024)
Nanqing Dong, Linus Ericsson, Yongxin Yang, Ales Leonardis, Steven McDonagh
Label-efficient object detection via region proposal network pre-training. Neurocomputing 577 (2024)
Sarah Parisot, Yongxin Yang, Steven McDonagh
Learning to Name Classes for Vision and Language Models. CoRR (2023)
Yongxin Yang, Timothy M. Hospedales
Partial Index Tracking: A Meta-Learning Approach. CoLLAs (2023)
Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales
MEDFAIR: Benchmarking Fairness for Medical Imaging. ICLR (2023)
Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
ChiroDiff: Modelling chirographic data with Diffusion Models. ICLR (2023)
Sarah Parisot, Yongxin Yang, Steven McDonagh
Learning to Name Classes for Vision and Language Models. CVPR (2023)
Xiongjie Chen, Yunpeng Li, Yongxin Yang
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection. ICASSP (2023)
Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
ChiroDiff: Modelling chirographic data with Diffusion Models. CoRR (2023)
Yongxin Yang, Timothy M. Hospedales
On Calibration of Mathematical Finance Models by Hypernetworks. ECML/PKDD (6) (2023)
Yongxin Yang, Timothy M. Hospedales
Mixture of Normalizing Flows for European Option Pricing. UAI (2023)
Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error. Trans. Mach. Learn. Res. 2023 (2023)
Bowen Li, Yongxin Yang, Steven McDonagh, Shifeng Zhang, Petru-Daniel Tudosiu, Sarah Parisot
Optimisation-Based Multi-Modal Semantic Image Editing. CoRR (2023)
Kaichen Zhou, Lanqing Hong, Enze Xie, Yongxin Yang, Zhenguo Li, Wei Zhang
SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields. CoRR (2023)
Boyan Gao, Henry Gouk, Yongxin Yang, Timothy M. Hospedales
Loss Function Learning for Domain Generalization by Implicit Gradient. ICML (2022)
Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. CoRR (2022)
Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales
MEDFAIR: Benchmarking Fairness for Medical Imaging. CoRR (2022)
Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang
Learning Generalisable Omni-Scale Representations for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
SketchODE: Learning neural sketch representation in continuous time. ICLR (2022)
Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. NeurIPS (2022)
Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song
Towards Unsupervised Sketch-based Image Retrieval. BMVC (2022)
Xiongjie Chen, Yongxin Yang, Yunpeng Li
Augmented Sliced Wasserstein Distances. ICLR (2022)
Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
Long-tail Recognition via Compositional Knowledge Transfer. CVPR (2022)
Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song
Fine-Grained VR Sketching: Dataset and Insights. CoRR (2022)
Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. IJCAI (2022)
Jiansong Li, Xueying Wang, Xiaobing Chen, Guangli Li, Xiao Dong, Peng Zhao, Xianzhi Yu, Yongxin Yang, Wei Cao, Lei Liu, Xiaobing Feng
An Application-oblivious Memory Scheduling System for DNN Accelerators. ACM Trans. Archit. Code Optim. 19 (4) (2022)
Xiongjie Chen, Yunpeng Li, Yongxin Yang
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection. CoRR (2022)
Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh
Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. CoRR (2022)
Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song
Towards 3D VR-Sketch to 3D Shape Retrieval. CoRR (2022)
Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
Long-tail Recognition via Compositional Knowledge Transfer. CoRR (2021)
Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng
Pinpointing the Memory Behaviors of DNN Training. ISPASS (2021)
Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
Domain Adaptive Ensemble Learning. IEEE Trans. Image Process. 30 (2021)
Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. CoRR (2021)
Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
Domain Generalization with MixStyle. CoRR (2021)
Hao Yang, Min Wang, Yun Zhou, Yongxin Yang
Towards Stochastic Neural Network via Feature Distribution Calibration. ICDM (2021)
Yuting Qiang, Yongxin Yang, Xueting Zhang, Yanwen Guo, Timothy M. Hospedales
Tensor Composition Net for Visual Relationship Prediction. BMVC (2021)
Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang
Domain Attention Consistency for Multi-Source Domain Adaptation. CoRR (2021)
Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. CoRR (2021)
Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang
Domain Attention Consistency for Multi-Source Domain Adaptation. BMVC (2021)
Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song
Fine-Grained VR Sketching: Dataset and Insights. 3DV (2021)
Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
Cloud2Curve: Generation and Vectorization of Parametric Sketches. CoRR (2021)
Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. CoRR (2021)
Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. CVPR (2021)
Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
MixStyle Neural Networks for Domain Generalization and Adaptation. CoRR (2021)
Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang
Context-Aware Layout to Image Generation With Enhanced Object Appearance. CVPR (2021)
Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
Cloud2Curve: Generation and Vectorization of Parametric Sketches. CVPR (2021)
Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization. CoRR (2021)
Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Lirong Dai
SRD: A Tree Structure Based Decoder for Online Handwritten Mathematical Expression Recognition. IEEE Trans. Multim. 23 (2021)
Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. CVPR (2021)
Tianyuan Yu, Yongxin Yang, Da Li, Timothy M. Hospedales, Tao Xiang
Simple and Effective Stochastic Neural Networks. AAAI (2021)
Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh
Residual Contrastive Learning for Joint Demosaicking and Denoising. CoRR (2021)
Yu Zheng, Yongxin Yang, Bowei Chen
Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction. KDD (2021)
Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song
More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. CVPR (2021)
Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng
Pinpointing the Memory Behaviors of DNN Training. CoRR (2021)
Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
Domain Generalization with MixStyle. ICLR (2021)
Anran Qi, Yulia Gryaditskaya, Jifei Song, Yongxin Yang, Yonggang Qi, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
Toward Fine-Grained Sketch-Based 3D Shape Retrieval. IEEE Trans. Image Process. 30 (2021)
Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error. CoRR (2021)
Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang
Context-Aware Layout to Image Generation with Enhanced Object Appearance. CoRR (2021)
Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song
Towards Unsupervised Sketch-based Image Retrieval. CoRR (2021)
Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization. NeurIPS (2021)
Ju Wei, Yongxin Yang, Mingzhu Jiang, Jianguo Liu
Dynamic multi-period sparse portfolio selection model with asymmetric investors' sentiments. Expert Syst. Appl. 177 (2021)
Xueting Zhang, Yuting Qiang, Flood Sung, Yongxin Yang, Timothy M. Hospedales
RelationNet2: Deep Comparison Network for Few-Shot Learning. IJCNN (2020)
Zhihe Lu, Yongxin Yang, Xiatian Zhu, Cong Liu, Yi-Zhe Song, Tao Xiang
Stochastic Classifiers for Unsupervised Domain Adaptation. CVPR (2020)
Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
Deep Domain-Adversarial Image Generation for Domain Generalisation. AAAI (2020)
Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Si Wei, Lirong Dai
A Tree-Structured Decoder for Image-to-Markup Generation. ICML (2020)
Ayan Kumar Bhunia, Ayan Das, Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song
Pixelor: a competitive sketching AI agent. so you think you can sketch? ACM Trans. Graph. 39 (6) (2020)
Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy M. Hospedales
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. CoRR (2020)
Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval. CoRR (2020)
Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song
Towards 3D VR-Sketch to 3D Shape Retrieval. 3DV (2020)
Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
BézierSketch: A Generative Model for Scalable Vector Sketches. ECCV (26) (2020)
Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
Deep Clusteringwith Concrete K-Means. ICASSP (2020)
Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval. CoRR (2020)
Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
Deep Domain-Adversarial Image Generation for Domain Generalisation. CoRR (2020)
Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang
Differentiable Automatic Data Augmentation. ECCV (22) (2020)
Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
Learning to Generate Novel Domains for Domain Generalization. CoRR (2020)
Xiao Gong, Guosheng Hu, Timothy M. Hospedales, Yongxin Yang
Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-identification. ECCV Workshops (1) (2020)
Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
Sequential Learning for Domain Generalization. CoRR (2020)
Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
Deep Clustering for Domain Adaptation. ICASSP (2020)
Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy M. Hospedales
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. NeurIPS (2020)
Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. CVPR (2020)
Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
Sequential Learning for Domain Generalization. ECCV Workshops (1) (2020)
Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
Flexible Dataset Distillation: Learn Labels Instead of Images. CoRR (2020)
Yuting Qiang, Yongxin Yang, Yanwen Guo, Timothy M. Hospedales
Tensor Composition Net for Visual Relationship Prediction. CoRR (2020)
Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. AAAI (2020)
Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
BézierSketch: A generative model for scalable vector sketches. CoRR (2020)
Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
Domain Adaptive Ensemble Learning. CoRR (2020)
Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval. BMVC (2020)
Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
Learning to Generate Novel Domains for Domain Generalization. ECCV (16) (2020)
Kaiyue Pang, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval. CVPR (2020)
Yu Zheng, Timothy M. Hospedales, Yongxin Yang
Diversity and Sparsity: A New Perspective on Index Tracking. ICASSP (2020)
Xiongjie Chen, Yongxin Yang, Yunpeng Li
Augmented Sliced Wasserstein Distances. CoRR (2020)
Conghui Hu, Da Li, Yongxin Yang, Timothy M. Hospedales, Yi-Zhe Song
Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation. IEEE Trans. Image Process. 29 (2020)
Yu Zheng, Yunpeng Li, Qiuhua Xu, Timothy M. Hospedales, Yongxin Yang
Index tracking with differentiate asset selection. ICAIF (2020)
Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
Generalizable Person Re-Identification by Domain-Invariant Mapping Network. CVPR (2019)
Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang
Omni-Scale Feature Learning for Person Re-Identification. CoRR (2019)
Yiying Li, Yongxin Yang, Wei Zhou, Timothy M. Hospedales
Feature-Critic Networks for Heterogeneous Domain Generalization. CoRR (2019)
Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
Generalising Fine-Grained Sketch-Based Image Retrieval. CVPR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yongxin Yang