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
2024
Chen 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 (2024). PhenoGemini: Enhancing Molecular Diagnoses of Mendelian Disorders through Identifying Twin Patients with Large Language Models. ASHG Annual Meeting Denver 5 Nov 2024 - 9 Nov 2024. 05-11-2024
2023
Zhou K, Yang Y, Qiao Y and Xiang T (2023). MixStyle Neural Networks for Domain Generalization and Adaptation. International Journal of Computer Vision, Springer Nature vol. 132 (3), 822-836. 17-10-2023
Chen X, Li Y and Yang Y (2023). Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 10-06-2023
Yang Y and Hospedales TM (2023). Mixture of Normalizing Flows for European Option Pricing. UAI. 01-01-2023
Yang Y and Hospedales TM (2023). An Evaluation of Self-supervised Learning for Portfolio Diversification. Artificial Neural Networks and Machine Learning – ICANN 2023 283-294. 01-01-2023
Yang Y and Hospedales TM (2023). On Calibration of Mathematical Finance Models by Hypernetworks. Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track 227-242. 01-01-2023
Das A, Yang Y, Hospedales T, Xiang T and Song YZ (2023). CHIRODIFF: MODELLING CHIROGRAPHIC DATA WITH DIFFUSION MODELS. 01-01-2023
2022
Parisot S, Esperança PM, McDonagh S, Madarasz TJ, Yang Y and Li Z (2022). Long-tail Recognition via Compositional Knowledge Transfer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 24-06-2022
Chen 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 (2022). PhenoApt leverages clinical expertise to prioritize candidate genes via machine learning. American Journal of Human Genetics, Elsevier vol. 109 (2), 270-281. 20-01-2022
Das A, Yang Y, Hospedales T, Xiang T and Song YZ (2022). SKETCHODE: LEARNING NEURAL SKETCH REPRESENTATION IN CONTINUOUS TIME. 01-01-2022
Dong Q, Muhammad A, Zhou F, Xie C, Hu T, Yang Y, Bae SH and Li Z (2022). ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. 01-01-2022
Gao B, Gouk H, Yang Y and Hospedales T (2022). Loss Function Learning for Domain Generalization by Implicit Gradient. 01-01-2022
Dong N, Maggioni M, Yang Y, Pérez-Pellitero E, Leonardis A and McDonagh S (2022). Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. 01-01-2022
Hu C, Yang Y, Li Y, Hospedales TM and Song YZ (2022). Towards Unsupervised Sketch-based Image Retrieval. 01-01-2022
2021
Luo L, Gryaditskaya Y, Yang Y, Xiang T and Song Y-Z (2021). Fine-Grained VR Sketching: Dataset and Insights. 2021 International Conference on 3D Vision (3DV). 03-12-2021
Wei J, Yang Y, Jiang M and Liu J (2021). Dynamic multi-period sparse portfolio selection model with asymmetric investors’ sentiments. Expert Systems with Applications, Elsevier vol. 177 01-09-2021
Zheng Y, Yang Y and Chen B (2021). Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction. Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 14-08-2021
Das A, Yang Y, Hospedales T, Xiang T and Song Y-Z (2021). Cloud2Curve: Generation and Vectorization of Parametric Sketches. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 25-06-2021
He S, Liao W, Yang MY, Yang Y, Song Y-Z, Rosenhahn B and Xiang T (2021). Context-Aware Layout to Image Generation with Enhanced Object Appearance. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 25-06-2021
Bhunia AK, Chowdhury PN, Yang Y, Hospedales TM, Xiang T and Song Y-Z (2021). Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 25-06-2021
Sain A, Bhunia AK, Yang Y, Xiang T and Song Y-Z (2021). StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 25-06-2021
Bhunia AK, Chowdhury PN, Sain A, Yang Y, Xiang T and Song Y-Z (2021). More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 25-06-2021
Yu T, Yang Y, Li D, Hospedales T and Xiang T (2021). Simple and Effective Stochastic Neural Networks. 18-05-2021
Qi A, Gryaditskaya Y, Song J, Yang Y, Qi Y, Hospedales TM, Xiang T and Song Y-Z (2021). Toward Fine-Grained Sketch-Based 3D Shape Retrieval. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers (IEEE) vol. 30, 8595-8606. 01-01-2021
Zhou K, Yang Y, Qiao Y and Xiang T (2021). Domain Adaptive Ensemble Learning. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers (IEEE) vol. 30, 8008-8018. 01-01-2021
Qiang Y, Yang Y, Zhang X, Guo Y and Hospedales T (2021). Tensor Composition Net for Visual Relationship Prediction. 01-01-2021
Deng Z, Zhou K, Yang Y and Xiang T (2021). Domain Attention Consistency for Multi-Source Domain Adaptation. 01-01-2021
2020
Zheng Y, Chen B, Hospedales TM and Yang Y (2020). Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. 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
Yang Y, Zheng Y and Hospedales T (2017). Gated Neural Networks for Option Pricing: Rationality by Design. 10-02-2017