Short Bio

ACCA certified accountant, specialised in money laundering and tax avoidance.

Occasionally do some research in machine learning.

Happily retired.

Unretire and join the University of Edinburgh as a postdoc.

Education

  • Sep 2013 – Jul 2017PHD IN COMPUTER SCIENCE

    Queen Mary, University of London

  • Sep 2011 – Sep 2012MSC IN COMPUTATIONAL STATISTICS AND MACHINE LEARNING

    University College London

  • Sep 2009 – Jun 2011BSC IN ACTUARIAL MATHEMATICS AND STATISTICS

    Kingston University London

  • Sep 2007 – Jun 2009BA IN INTERNATIONAL FINANCE

    Beijing Normal University, Zhuhai

Publications

Learning to Generalize: Meta-Learning for Domain Generalization

AAAI Conference on Artificial Intelligence (AAAI) 2018
Da Li, Yongxin Yang, Yi-Zhe Song, and Timothy Hospedales
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Frankenstein: Learning Deep Face Representations using Small Data

IEEE Transactions on Image Processing (TIP) 2017
Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy Hospedales, and Jakob Verbeek
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Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks

International Conference on Computer Vision (ICCV) 2017 (Spotlight)
Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha Mukherjee, Timothy Hospedales, Neil Robertson, and Yongxin Yang
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Deeper, Broader and Artier Domain Generalization

International Conference on Computer Vision (ICCV) 2017
Da Li, Yongxin Yang, Yi-Zhe Song, and Timothy Hospedales
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Deep Multi-task Representation Learning: A Tensor Factorisation Approach

International Conference on Learning Representations (ICLR) 2017
Yongxin Yang and Timothy Hospedales
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Gated Neural Networks for Option Pricing: Rationality by Design

AAAI Conference on Artificial Intelligence (AAAI) 2017 (Oral)
Yongxin Yang, Yu Zheng, and Timothy Hospedales
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Spectroscopic super-resolution fluorescence cell imaging using ultra-small Ge quantum dots

Optics Express 2017
Mingying Song, Ali Karatutlu, Isma Ali, Osman Ersoy, Yun Zhou, Yongxin Yang, Yuanpeng Zhang, William R. Little, Ann P. Wheeler, and Andrei V. Sapelkin
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Multivariate Regression on the Grassmannian for Predicting Novel Domains

Computer Vision and Pattern Recognition (CVPR) 2016
Yongxin Yang and Timothy Hospedales
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Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2016
Zhiyuan Shi, Yongxin Yang, Timothy Hospedales, and Tao Xiang
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Sketch-a-Net: A Deep Neural Network that Beats Humans

International Journal of Computer Vision (IJCV) 2016
Qian Yu, Yongxin Yang, Feng Liu, Yi-Zhe Song, Tao Xiang, and Timothy Hospedales
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Sketch-a-Net that Beats Humans

British Machine Vision Conference (BMVC) 2015 (Best Paper)
Qian Yu*, Yongxin Yang*, Yi-Zhe Song, Tao Xiang, and Timothy Hospedales
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A Unified Perspective on Multi-Domain and Multi-Task Learning

International Conference on Learning Representations (ICLR) 2015
Yongxin Yang and Timothy Hospedales
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Transductive Multi-label Zero-shot Learning

British Machine Vision Conference (BMVC) 2014 (Oral)
Yanwei Fu, Yongxin Yang, Timothy Hospedales, Tao Xiang, and Shaogang Gong
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Weakly Supervised Learning of Objects, Attributes and their Associations

European Conference on Computer Vision (ECCV) 2014
Zhiyuan Shi, Yongxin Yang, Timothy Hospedales, and Tao Xiang
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