Dr Yongxin Yang
Lecturer in Financial Technology
School of Electronic Engineering and Computer Science
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 AI
2024
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 et al.
ASHG Annual Meeting Denver 5 Nov 2024 - 9 Nov 2024.
05-11-20242023
MixStyle Neural Networks for Domain Generalization and AdaptationZhou K Yang Y Qiao Y 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 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 Hospedales TM
UAI. vol. 216, 2390-2399.
01-01-2023 An Evaluation of Self-supervised Learning for Portfolio DiversificationYang Y 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 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 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 Song YZ
11th International Conference on Learning Representations Iclr 2023.
01-01-2023 2022
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy ImagesDong N Maggioni M Yang Y Pérez-Pellitero E Leonardis A McDonagh S
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence., 2930-2936.
01-07-2022 Long-tail Recognition via Compositional Knowledge TransferParisot S Esperança PM McDonagh S Madarasz TJ Yang Y 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 et al.
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 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 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 Hospedales T
Proceedings of Machine Learning Research. vol. 162, 7002-7016.
01-01-2022 AUGMENTED SLICED WASSERSTEIN DISTANCESChen X Yang Y Li Y
Iclr 2022 10th International Conference on Learning Representations.
01-01-2022 Towards Unsupervised Sketch-based Image RetrievalHu C Yang Y Li Y Hospedales TM 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 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 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 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 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 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 Song Y-Z
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 5668-5677.
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 Song Y-Z
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 4245-4254.
25-06-2021 StyleMeUp: Towards Style-Agnostic Sketch-Based Image RetrievalSain A Bhunia AK Yang Y Xiang T Song Y-Z
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 8500-8509.
25-06-2021 Simple and Effective Stochastic Neural NetworksYu T Yang Y Li D Hospedales T 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 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 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 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 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 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 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 Hospedales T
Proceedings of the AAAI Conference on Artificial Intelligence. vol. 31 (1)
10-02-2017
Research Group
PhD Students
- Wenqi Chen
Deep Learning For Implied Volatility Modelling - Manu Terés Iniesta
Generative AI and Agent-Based Methods For Option Trading
News
April 2026
9 April 2026
On 23-27 April, CMAI researchers will participate at the Fourteenth International Conference on Learning Representations (ICLR 2026), taking place in Rio de Janeiro, Brazil. ICLR is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.
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