Dr Yongxin Yang is a lecturer in machine learning at University of Surrey. His research is in the area of multi-task learning, transfer learning, and meta learning. He has broad interests in applications of machine learning, e.g., computer vision, medical science, and finance.
* indicates equal contribution, # indicates the corresponding author.
            @inproceedings{zhou2020online,
            title={Online Meta-Critic Learning for Off-Policy Actor-Critic Methods},
            author={Zhou, Wei and Li, Yiying and Yang, Yongxin and Wang, Huaimin and Hospedales, Timothy M},
            booktitle={Neural Information Processing Systems (NeurIPS)},
            year={2020}
            }
        
            @inproceedings{zhang2020tree,
            title={A Tree-Structured Decoder for Image-to-Markup Generation},
            author={Zhang, Jianshu and Du, Jun and Yang, Yongxin and Song, Yi-Zhe and Wei, Si and Dai, Lirong},
            booktitle={International Conference on Machine Learning (ICML)},
            year={2020}
            }
        
            @inproceedings{zheng2020index,
            title={Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach},
            author={Yu Zheng and Bowei Chen and Timothy M. Hospedales and Yongxin Yang},
            booktitle={AAAI Conference on Artificial Intelligence (AAAI)},
            year={2020}
            }
        
            @InProceedings{li2019feature,
            title = {Feature-Critic Networks for Heterogeneous Domain Generalization},
            author = {Li, Yiying and Yang, Yongxin and Zhou, Wei and Hospedales, Timothy},
            booktitle = {International Conference on Machine Learning (ICML)},
            year = {2019}
            }
        
            @INPROCEEDINGS{yang2018deep,
            author={Yang, Yongxin and Morillo, Irene Garcia and Hospedales, Timothy M.},
            booktitle={ICML Workshop on Human Interpretability in Machine Learning (WHI)},
            title={Deep Neural Decision Trees},
            year={2018}
            }
        
            @inproceedings{yang2017deep,
            title={Deep Multi-task Representation Learning: A Tensor Factorisation Approach},
            author={Yang, Yongxin and Hospedales, Timothy M.},
            booktitle={International Conference on Learning Representations (ICLR)},
            year={2017}
            }
        
            @inproceedings{yang2017gated,
            title={Gated Neural Networks for Option Pricing: Rationality by Design},
            author={Yang, Yongxin and Zheng, Yu and Hospedales, Timothy M.},
            booktitle={AAAI Conference on Artificial Intelligence (AAAI)},
            year={2017}
            }
        
            @INPROCEEDINGS{yang2016multivariate,
            author={Y. Yang and T. M. Hospedales},
            booktitle={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
            title={Multivariate Regression on the Grassmannian for Predicting Novel Domains},
            year={2016}
            }
        
            @inproceedings{yang2015unified,
            title={A Unified Perspective on Multi-Domain and Multi-Task Learning},
            author={Yang, Yongxin and Hospedales, Timothy M.},
            booktitle={International Conference on Learning Representations (ICLR)},
            year={2015}
            }