Dr Yongxin Yang
Lecturer in Financial Technology
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
Research
Machine Learning, Computational Finance, Medical Genetics
Interests
My research is in the area of machine learning (transfer learning, domain generalization, and meta learning) and its applications in finance (portfolio optimization and derivatives pricing) and medical genetics.Publications of specific relevance to the Centre for Multimodal AI
Publications of specific relevance to the Centre for Multimodal AI2024
PhenoGemini: Enhancing Molecular Diagnoses of Mendelian Disorders through Identifying Twin Patients with Large Language ModelsChen Z, Cai J, Liu P, Yang Y, Zhao S, Li G, Xu K, Niu Y, Hospedales T, Qiu G, Wu Z, Zhang TJ and Wu N
ASHG Annual Meeting Denver 5 Nov 2024 - 9 Nov 2024.
05-11-2024
2023
MixStyle Neural Networks for Domain Generalization and AdaptationZhou K, Yang Y, Qiao Y and Xiang T
International Journal of Computer Vision, Springer Nature vol. 132 (3), 822-836.
17-10-2023
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution DetectionChen X, Li Y and Yang Y
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). vol. 00, 1-5.
10-06-2023
Mixture of Normalizing Flows for European Option PricingYang Y and Hospedales TM
UAI. vol. 216, 2390-2399.
01-01-2023
An Evaluation of Self-supervised Learning for Portfolio DiversificationYang Y and Hospedales TM
In Artificial Neural Networks and Machine Learning – Icann 2023, Springer Nature 283-294.
01-01-2023
On Calibration of Mathematical Finance Models by HypernetworksYang Y and Hospedales TM
In Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, Springer Nature 227-242.
01-01-2023
PARTIAL INDEX TRACKING: A META-LEARNING APPROACHYang Y and Hospedales TM
Proceedings of Machine Learning Research. vol. 232, 415-436.
01-01-2023
CHIRODIFF: MODELLING CHIROGRAPHIC DATA WITH DIFFUSION MODELSDas A, Yang Y, Hospedales T, Xiang T and Song YZ
11th International Conference on Learning Representations, ICLR 2023.
01-01-2023
2022
Long-tail Recognition via Compositional Knowledge TransferParisot S, Esperança PM, McDonagh S, Madarasz TJ, Yang Y and Li Z
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 6929-6938.
24-06-2022
PhenoApt leverages clinical expertise to prioritize candidate genes via machine learningChen Z, Zheng Y, Yang Y, Huang Y, Zhao S, Zhao H, Yu C, Dong X, Zhang Y, Wang L, Zhao Z, Wang S, Yang Y, Ming Y, Su J, Qiu G, Wu Z, Zhang TJ and Wu N
American Journal of Human Genetics, Elsevier vol. 109 (2), 270-281.
20-01-2022
SKETCHODE: LEARNING NEURAL SKETCH REPRESENTATION IN CONTINUOUS TIMEDas A, Yang Y, Hospedales T, Xiang T and Song YZ
ICLR 2022 - 10th International Conference on Learning Representations.
01-01-2022
ZooD: Exploiting Model Zoo for Out-of-Distribution GeneralizationDong Q, Muhammad A, Zhou F, Xie C, Hu T, Yang Y, Bae SH and Li Z
Advances in Neural Information Processing Systems. vol. 35
01-01-2022
Loss Function Learning for Domain Generalization by Implicit GradientGao B, Gouk H, Yang Y and Hospedales T
Proceedings of Machine Learning Research. vol. 162, 7002-7016.
01-01-2022
AUGMENTED SLICED WASSERSTEIN DISTANCESChen X, Yang Y and Li Y
ICLR 2022 - 10th International Conference on Learning Representations.
01-01-2022
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy ImagesDong N, Maggioni M, Yang Y, Pérez-Pellitero E, Leonardis A and McDonagh S
IJCAI International Joint Conference on Artificial Intelligence., 2930-2936.
01-01-2022
Towards Unsupervised Sketch-based Image RetrievalHu C, Yang Y, Li Y, Hospedales TM and Song YZ
BMVC 2022 - 33rd British Machine Vision Conference Proceedings.
01-01-2022
2021
Fine-Grained VR Sketching: Dataset and Insights.Luo L, Gryaditskaya Y, Yang Y, Xiang T and Song Y-Z
2021 International Conference on 3D Vision (3DV). vol. 00, 1003-1013.
03-12-2021
Dynamic multi-period sparse portfolio selection model with asymmetric investors’ sentimentsWei J, Yang Y, Jiang M and Liu J
Expert Systems With Applications, Elsevier vol. 177
01-09-2021
Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface PredictionZheng Y, Yang Y and Chen B
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining., 3968-3975.
14-08-2021
Cloud2Curve: Generation and Vectorization of Parametric SketchesDas A, Yang Y, Hospedales T, Xiang T and Song Y-Z
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 7084-7093.
25-06-2021
Context-Aware Layout to Image Generation with Enhanced Object AppearanceHe S, Liao W, Yang MY, Yang Y, Song Y-Z, Rosenhahn B and Xiang T
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 15044-15053.
25-06-2021
Vectorization and Rasterization: Self-Supervised Learning for Sketch and HandwritingBhunia AK, Chowdhury PN, Yang Y, Hospedales TM, Xiang T and Song Y-Z
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 5668-5677.
25-06-2021
StyleMeUp: Towards Style-Agnostic Sketch-Based Image RetrievalSain A, Bhunia AK, Yang Y, Xiang T and Song Y-Z
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 8500-8509.
25-06-2021
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image RetrievalBhunia AK, Chowdhury PN, Sain A, Yang Y, Xiang T and Song Y-Z
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 4245-4254.
25-06-2021
Simple and Effective Stochastic Neural NetworksYu T, Yang Y, Li D, Hospedales T and Xiang T
Proceedings of the AAAI Conference on Artificial Intelligence. vol. 35 (4), 3252-3260.
18-05-2021
Toward Fine-Grained Sketch-Based 3D Shape RetrievalQi A, Gryaditskaya Y, Song J, Yang Y, Qi Y, Hospedales TM, Xiang T and Song Y-Z
Ieee Transactions on Image Processing, Institute of Electrical and Electronics Engineers (Ieee) vol. 30, 8595-8606.
01-01-2021
Domain Adaptive Ensemble LearningZhou K, Yang Y, Qiao Y and Xiang T
Ieee Transactions on Image Processing, Institute of Electrical and Electronics Engineers (Ieee) vol. 30, 8008-8018.
01-01-2021
DOMAIN GENERALIZATION WITH MIXSTYLEZhou K, Yang Y, Qiao Y and Xiang T
ICLR 2021 - 9th International Conference on Learning Representations.
01-01-2021
Tensor Composition Net for Visual Relationship PredictionQiang Y, Yang Y, Zhang X, Guo Y and Hospedales T
32nd British Machine Vision Conference, BMVC 2021.
01-01-2021
Domain Attention Consistency for Multi-Source Domain AdaptationDeng Z, Zhou K, Yang Y and Xiang T
32nd British Machine Vision Conference, BMVC 2021.
01-01-2021
2020
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks ApproachZheng Y, Chen B, Hospedales TM and Yang Y
Proceedings of The Aaai Conference on Artificial Intelligence, Association For The Advancement of Artificial Intelligence (Aaai) vol. 34 (01), 1242-1249.
03-04-2020
2017
Gated Neural Networks for Option Pricing: Rationality by DesignYang Y, Zheng Y and Hospedales T
Proceedings of the AAAI Conference on Artificial Intelligence. vol. 31 (1)
10-02-2017