Publications: Dr Yongxin Yang

Zhou K, Yang Y, Qiao Y, Xiang T ( 2023 ) . MixStyle Neural Networks for Domain Generalization and Adaptation . International Journal of Computer Vision vol. 132 , ( 3 ) 822 - 836 .

Yang Y, Hospedales TM ( 2023 ) . An Evaluation of Self-supervised Learning for Portfolio Diversification . Artificial Neural Networks and Machine Learning – ICANN 2023 , vol. 14256 , Springer Nature

Yang Y, Hospedales TM ( 2023 ) . On Calibration of Mathematical Finance Models by Hypernetworks . Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track , vol. 14174 , Springer Nature

Chen X, Li Y, Yang Y ( 2023 ) . Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection . Conference: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) vol. 00 , 1 - 5 .

Das A, Yang Y, Hospedales T, Xiang T, Song YZ ( 2023 ) . CHIRODIFF: MODELLING CHIROGRAPHIC DATA WITH DIFFUSION MODELS . 11th International Conference on Learning Representations, ICLR 2023 .

Yang Y, Hospedales TM ( 2023 ) . Mixture of Normalizing Flows for European Option Pricing . Proceedings of Machine Learning Research . Conference: UAI vol. 216 , 2390 - 2399 .

Yang Y, Hospedales TM ( 2023 ) . PARTIAL INDEX TRACKING: A META-LEARNING APPROACH . Proceedings of Machine Learning Research . vol. 232 , 415 - 436 .

Parisot S, Esperança PM, McDonagh S, Madarasz TJ, Yang Y, Li Z ( 2022 ) . Long-tail Recognition via Compositional Knowledge Transfer . Conference: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) vol. 00 , 6929 - 6938 .

Liu J, Zhao H, Zheng Y, Dong L, Zhao S, Huang Y, Huang S, Qian T et al. ( 2022 ) . DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data . Genome Medicine vol. 14 , ( 1 )

Chen Z, Zheng Y, Yang Y, Huang Y, Zhao S, Zhao H, Yu C, Dong X et al. ( 2022 ) . PhenoApt leverages clinical expertise to prioritize candidate genes via machine learning . American Journal of Human Genetics vol. 109 , ( 2 ) 270 - 281 .

Chen X, Yang Y, Li Y ( 2022 ) . AUGMENTED SLICED WASSERSTEIN DISTANCES . ICLR 2022 - 10th International Conference on Learning Representations .

Gao B, Gouk H, Yang Y, Hospedales T ( 2022 ) . Loss Function Learning for Domain Generalization by Implicit Gradient . Proceedings of Machine Learning Research . vol. 162 , 7002 - 7016 .

Dong N, Maggioni M, Yang Y, Pérez-Pellitero E, Leonardis A, McDonagh S ( 2022 ) . Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images . IJCAI International Joint Conference on Artificial Intelligence . 2930 - 2936 .

Das A, Yang Y, Hospedales T, Xiang T, Song YZ ( 2022 ) . SKETCHODE: LEARNING NEURAL SKETCH REPRESENTATION IN CONTINUOUS TIME . ICLR 2022 - 10th International Conference on Learning Representations .

Hu C, Yang Y, Li Y, Hospedales TM, Song YZ ( 2022 ) . Towards Unsupervised Sketch-based Image Retrieval . BMVC 2022 - 33rd British Machine Vision Conference Proceedings .

Dong Q, Muhammad A, Zhou F, Xie C, Hu T, Yang Y, Bae SH, Li Z ( 2022 ) . ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization . Advances in Neural Information Processing Systems . vol. 35 ,

Yang H, Wang M, Zhou Y, Yang Y ( 2021 ) . Towards Stochastic Neural Network via Feature Distribution Calibration . Conference: 2021 IEEE International Conference on Data Mining (ICDM) vol. 00 , 1445 - 1450 .

Luo L, Gryaditskaya Y, Yang Y, Xiang T, Song Y-Z ( 2021 ) . Fine-Grained VR Sketching: Dataset and Insights . Conference: 2021 International Conference on 3D Vision (3DV) vol. 00 , 1003 - 1013 .

Qi A, Gryaditskaya Y, Song J, Yang Y, Qi Y, Hospedales TM, Xiang T, Song Y-Z ( 2021 ) . Toward Fine-Grained Sketch-Based 3D Shape Retrieval . IEEE Transactions on Image Processing vol. 30 , 8595 - 8606 .

Zhou K, Yang Y, Qiao Y, Xiang T ( 2021 ) . Domain Adaptive Ensemble Learning . IEEE Transactions on Image Processing vol. 30 , 8008 - 8018 .

Wei J, Yang Y, Jiang M, Liu J ( 2021 ) . Dynamic multi-period sparse portfolio selection model with asymmetric investors’ sentiments . Expert Systems with Applications vol. 177 ,

Zheng Y, Yang Y, Chen B ( 2021 ) . Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction . Conference: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining3968 - 3975 .

Das A, Yang Y, Hospedales T, Xiang T, Song Y-Z ( 2021 ) . Cloud2Curve: Generation and Vectorization of Parametric Sketches . Conference: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) vol. 00 , 7084 - 7093 .

He S, Liao W, Yang MY, Yang Y, Song Y-Z, Rosenhahn B, Xiang T ( 2021 ) . Context-Aware Layout to Image Generation with Enhanced Object Appearance . Conference: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) vol. 00 , 15044 - 15053 .

Bhunia AK, Chowdhury PN, Sain A, Yang Y, Xiang T, Song Y-Z ( 2021 ) . More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval . Conference: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) vol. 00 , 4245 - 4254 .

Sain A, Bhunia AK, Yang Y, Xiang T, Song Y-Z ( 2021 ) . StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval . Conference: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) vol. 00 , 8500 - 8509 .

Bhunia AK, Chowdhury PN, Yang Y, Hospedales TM, Xiang T, Song Y-Z ( 2021 ) . Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting . Conference: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) vol. 00 , 5668 - 5677 .

Yu T, Yang Y, Li D, Hospedales T, Xiang T . Simple and Effective Stochastic Neural Networks . Proceedings of the AAAI Conference on Artificial Intelligence . vol. 35 , 3252 - 3260 .

Zhou K, Yang Y, Cavallaro A, Xiang T ( 2021 ) . Learning Generalisable Omni-Scale Representations for Person Re-Identification . IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 44 , ( 9 ) 5056 - 5069 .

Gong X, Hu G, Hospedales T, Yang Y ( 2021 ) . Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-identification . Computer Vision – ECCV 2020 Workshops , vol. 12535 , Springer Nature

Li D, Yang Y, Song Y-Z, Hospedales T ( 2021 ) . Sequential Learning for Domain Generalization . Computer Vision – ECCV 2020 Workshops , vol. 12535 , Springer Nature

Zhou K, Yang Y, Qiao Y, Xiang T ( 2021 ) . DOMAIN GENERALIZATION WITH MIXSTYLE . ICLR 2021 - 9th International Conference on Learning Representations .

Deng Z, Zhou K, Yang Y, Xiang T ( 2021 ) . Domain Attention Consistency for Multi-Source Domain Adaptation . 32nd British Machine Vision Conference, BMVC 2021 .

Bohdal O, Yang Y, Hospedales T ( 2021 ) . EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization . Advances in Neural Information Processing Systems . Conference: NeurIPS vol. 27 , 22234 - 22246 .

Qiang Y, Yang Y, Zhang X, Guo Y, Hospedales T ( 2021 ) . Tensor Composition Net for Visual Relationship Prediction . 32nd British Machine Vision Conference, BMVC 2021 .

Li Y, Hu G, Wang Y, Hospedales T, Robertson NM, Yang Y ( 2020 ) . Differentiable Automatic Data Augmentation . Computer Vision – ECCV 2020 , vol. 12367 , Springer Nature

Das A, Yang Y, Hospedales T, Xiang T, Song Y-Z ( 2020 ) . BézierSketch: A Generative Model for Scalable Vector Sketches . Computer Vision – ECCV 2020 , vol. 12371 , Springer Nature

Zhou K, Yang Y, Hospedales T, Xiang T ( 2020 ) . Learning to Generate Novel Domains for Domain Generalization . Computer Vision – ECCV 2020 , vol. 12361 , Springer Nature

Zhang X, Qiang Y, Sung F, Yang Y, Hospedales T ( 2020 ) . RelationNet2: Deep Comparison Network for Few-Shot Learning . Conference: 2020 International Joint Conference on Neural Networks (IJCNN) vol. 00 , 1 - 8 .

Bhunia AK, Yang Y, Hospedales TM, Xiang T, Song Y-Z ( 2020 ) . Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval . Conference: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) vol. 00 , 9776 - 9785 .

Pang K, Yang Y, Hospedales TM, Xiang T, Song Y-Z ( 2020 ) . Solving Mixed-modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval . Conference: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) vol. 00 , 10344 - 10352 .

Lu Z, Yang Y, Zhu X, Liu C, Song Y-Z, Xiang T ( 2020 ) . Stochastic Classifiers for Unsupervised Domain Adaptation . Conference: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) vol. 00 , 9108 - 9117 .

Gao B, Yang Y, Gouk H, Hospedales TM ( 2020 ) . Deep Clustering for Domain Adaptation . Conference: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) vol. 00 , 4247 - 4251 .

Gao B, Yang Y, Gouk H, Hospedales TM ( 2020 ) . Deep Clusteringwith Concrete K-Means . Conference: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) vol. 00 , 4252 - 4256 .

Zheng Y, Hospedales TM, Yang Y ( 2020 ) . Diversity and Sparsity: A New Perspective on Index Tracking . Conference: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) vol. 00 , 1768 - 1772 .

Zhao S, Zhang Y, Chen W, Li W, Wang S, Wang L, Zhao Y, Lin M et al. ( 2020 ) . Diagnostic yield and clinical impact of exome sequencing in early-onset scoliosis (EOS) . Journal of Medical Genetics vol. 58 , ( 1 ) 41 - 47 .

Zhou K, Yang Y, Hospedales T, Xiang T ( 2020 ) . Deep Domain-Adversarial Image Generation for Domain Generalisation . Proceedings of the AAAI Conference on Artificial Intelligence vol. 34 , ( 07 ) 13025 - 13032 .

Zheng Y, Chen B, Hospedales TM, Yang Y ( 2020 ) . Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach . Proceedings of the AAAI Conference on Artificial Intelligence vol. 34 , ( 01 ) 1242 - 1249 .

Zhang J, Du J, Yang Y, Song YZ, Wei S, Dai L ( 2020 ) . A tree-structured decoder for image-To-markup generation . 37th International Conference on Machine Learning, ICML 2020 . vol. PartF168147-15 , 11010 - 11019 .

Sain A, Bhunia AK, Yang Y, Xiang T, Song YZ ( 2020 ) . Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval . 31st British Machine Vision Conference, BMVC 2020 .

Zhou W, Li Y, Yang Y, Wang H, Hospedales TM ( 2020 ) . Online meta-critic learning for off-policy actor-critic methods . Advances in Neural Information Processing Systems . vol. 2020-December ,

Yang Y, Hospedales TM ( 2019 ) . Deep multi-task representation learning: A tensor factorisation approach . 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings

Yang Y, Hospedales TM ( 2019 ) . Trace norm regularised deep multi-task learning . 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings

Sung F, Yang Y, Zhang L, Xiang T, Torr PHS, Hospedales TM ( 2018 ) . Learning to Compare: Relation Network for Few-Shot Learning . 1199 - 1208 .

Li D, Yang Y, Song Y-Z, Hospedales T ( 2018 ) . Learning to Generalize: Meta-Learning for Domain Generalization . Proceedings of the AAAI Conference on Artificial Intelligence vol. 32 , ( 1 )

Yang Y, Zheng Y, Hospedales T . Gated Neural Networks for Option Pricing: Rationality by Design . Proceedings of the AAAI Conference on Artificial Intelligence . vol. 31 ,

Yang Y, Hospedales TM ( 2016 ) . Multivariate Regression on the Grassmannian for Predicting Novel Domains . Conference: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)5071 - 5080 .

Yang Y, Hospedales TM ( 2015 ) . A unified perspective on multi-domain and multi-task learning . 3rd International Conference on Learning Representations, ICLR 2015 - Conference Track Proceedings