Dr Yongxin Yang

Yongxin Yang

Lecturer in Financial Technology

School of Electronic Engineering and Computer Science
Queen Mary University of London
yang.ac
Centre for Multimodal AI
ORCID Google Scholar

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

solid heart iconPublications of specific relevance to the Centre for Multimodal AI

2024

bullet iconPhenoGemini: Enhancing Molecular Diagnoses of Mendelian Disorders through Identifying Twin Patients with Large Language Models
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
ASHG Annual Meeting Denver 5 Nov 2024 - 9 Nov 2024. 
05-11-2024

2023

bullet iconMixStyle Neural Networks for Domain Generalization and Adaptation
Zhou K, Yang Y, Qiao Y and Xiang T
International Journal of Computer Vision, Springer Nature vol. 132 (3), 822-836.  
17-10-2023
bullet iconBatch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection
Chen 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
bullet iconMixture of Normalizing Flows for European Option Pricing
Yang Y and Hospedales TM
UAI. vol. 216, 2390-2399.  
01-01-2023
bullet iconAn Evaluation of Self-supervised Learning for Portfolio Diversification
Yang Y and Hospedales TM
In Artificial Neural Networks and Machine Learning – Icann 2023, Springer Nature 283-294.  
01-01-2023
bullet iconOn Calibration of Mathematical Finance Models by Hypernetworks
Yang 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
bullet iconPARTIAL INDEX TRACKING: A META-LEARNING APPROACH
Yang Y and Hospedales TM
Proceedings of Machine Learning Research. vol. 232, 415-436.  
01-01-2023
bullet iconCHIRODIFF: MODELLING CHIROGRAPHIC DATA WITH DIFFUSION MODELS
Das A, Yang Y, Hospedales T, Xiang T and Song YZ
11th International Conference on Learning Representations, ICLR 2023. 
01-01-2023

2022

bullet iconLong-tail Recognition via Compositional Knowledge Transfer
Parisot 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
bullet iconPhenoApt leverages clinical expertise to prioritize candidate genes via machine learning
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
American Journal of Human Genetics, Elsevier vol. 109 (2), 270-281.  
20-01-2022
bullet iconSKETCHODE: LEARNING NEURAL SKETCH REPRESENTATION IN CONTINUOUS TIME
Das A, Yang Y, Hospedales T, Xiang T and Song YZ
ICLR 2022 - 10th International Conference on Learning Representations. 
01-01-2022
bullet iconZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
Dong 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
bullet iconLoss Function Learning for Domain Generalization by Implicit Gradient
Gao B, Gouk H, Yang Y and Hospedales T
Proceedings of Machine Learning Research. vol. 162, 7002-7016.  
01-01-2022
bullet iconAUGMENTED SLICED WASSERSTEIN DISTANCES
Chen X, Yang Y and Li Y
ICLR 2022 - 10th International Conference on Learning Representations. 
01-01-2022
bullet iconResidual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images
Dong 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
bullet iconTowards Unsupervised Sketch-based Image Retrieval
Hu C, Yang Y, Li Y, Hospedales TM and Song YZ
BMVC 2022 - 33rd British Machine Vision Conference Proceedings. 
01-01-2022

2021

bullet iconFine-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
bullet iconDynamic multi-period sparse portfolio selection model with asymmetric investors’ sentiments
Wei J, Yang Y, Jiang M and Liu J
Expert Systems With Applications, Elsevier vol. 177 
01-09-2021
bullet iconIncorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction
Zheng Y, Yang Y and Chen B
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining., 3968-3975.  
14-08-2021
bullet iconCloud2Curve: Generation and Vectorization of Parametric Sketches
Das 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
bullet iconContext-Aware Layout to Image Generation with Enhanced Object Appearance
He 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
bullet iconVectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting
Bhunia 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
bullet iconStyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval
Sain 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
bullet iconMore Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval
Bhunia 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
bullet iconSimple and Effective Stochastic Neural Networks
Yu 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
bullet iconToward Fine-Grained Sketch-Based 3D Shape Retrieval
Qi 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
bullet iconDomain Adaptive Ensemble Learning
Zhou 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
bullet iconDOMAIN GENERALIZATION WITH MIXSTYLE
Zhou K, Yang Y, Qiao Y and Xiang T
ICLR 2021 - 9th International Conference on Learning Representations. 
01-01-2021
bullet iconTensor Composition Net for Visual Relationship Prediction
Qiang Y, Yang Y, Zhang X, Guo Y and Hospedales T
32nd British Machine Vision Conference, BMVC 2021. 
01-01-2021
bullet iconDomain Attention Consistency for Multi-Source Domain Adaptation
Deng Z, Zhou K, Yang Y and Xiang T
32nd British Machine Vision Conference, BMVC 2021. 
01-01-2021

2020

bullet iconIndex Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach
Zheng 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

bullet iconGated Neural Networks for Option Pricing: Rationality by Design
Yang Y, Zheng Y and Hospedales T
Proceedings of the AAAI Conference on Artificial Intelligence. vol. 31 (1) 
10-02-2017