Yang, Yongxin

50 publications

ICML 2025 HyperIV: Real-Time Implied Volatility Smoothing Yongxin Yang, Wenqi Chen, Chao Shu, Timothy Hospedales

CVPRW 2025 SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting Kaichen Zhou, Lanqing Hong, Xinhai Chang, Yingji Zhong, Enze Xie, Hao Dong, Zhihao Li, Yongxin Yang, Zhenguo Li, Wei Zhang

NeurIPS 2024 Generating Compositional Scenes via Text-to-Image RGBA Instance Generation Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Sarah Parisot

ICMLW 2024 Long-Context Vision Large Language Models: Empirical Insights and a Baseline Yongshuo Zong, Ismail Elezi, Yongxin Yang, Jiankang Deng, Timothy Hospedales

CVPR 2024 MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot

ICML 2024 Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy Hospedales

ICLR 2023 ChiroDiff: Modelling Chirographic Data with Diffusion Models Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

CVPR 2023 Learning to Name Classes for Vision and Language Models Sarah Parisot, Yongxin Yang, Steven McDonagh

ICLR 2023 MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong, Yongxin Yang, Timothy Hospedales

TMLR 2023 Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal, Yongxin Yang, Timothy Hospedales

UAI 2023 Mixture of Normalizing Flows for European Option Pricing Yongxin Yang, Timothy M. Hospedales

ECML-PKDD 2023 On Calibration of Mathematical Finance Models by Hypernetworks Yongxin Yang, Timothy M. Hospedales

NeurIPSW 2023 OverPrompt: Enhancing ChatGPT Through Efficient In-Context Learning Jiazheng Li, Runcong Zhao, Yongxin Yang, Yulan He, Lin Gui

CoLLAs 2023 Partial Index Tracking: A Meta-Learning Approach Yongxin Yang, Timothy Hospedales

ICLR 2022 Augmented Sliced Wasserstein Distances Xiongjie Chen, Yongxin Yang, Yunpeng Li

CVPR 2022 Long-Tail Recognition via Compositional Knowledge Transfer Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li

ICML 2022 Loss Function Learning for Domain Generalization by Implicit Gradient Boyan Gao, Henry Gouk, Yongxin Yang, Timothy Hospedales

IJCAI 2022 Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh

ICLR 2022 SketchODE: Learning Neural Sketch Representation in Continuous Time Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

NeurIPS 2022 ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization Qishi Dong, Awais Muhammad, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li

CVPR 2021 Cloud2Curve: Generation and Vectorization of Parametric Sketches Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song

CVPR 2021 Context-Aware Layout to Image Generation with Enhanced Object Appearance Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang

ICLR 2021 Domain Generalization with MixStyle Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang

NeurIPS 2021 EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization Ondrej Bohdal, Yongxin Yang, Timothy Hospedales

CVPR 2021 More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song

AAAI 2021 Simple and Effective Stochastic Neural Networks Tianyuan Yu, Yongxin Yang, Da Li, Timothy M. Hospedales, Tao Xiang

CVPR 2021 StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song

CVPR 2021 Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song

ICML 2020 A Tree-Structured Decoder for Image-to-Markup Generation Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Si Wei, Lirong Dai

ECCVW 2020 Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-Identification Xiao Gong, Guosheng Hu, Timothy M. Hospedales, Yongxin Yang

ECCV 2020 BézierSketch: A Generative Model for Scalable Vector Sketches Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

ECCV 2020 DADA: Differentiable Automatic Data Augmentation Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy Hospedales, Neil M. Robertson, Yongxin Yang

AAAI 2020 Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang

AAAI 2020 Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang

ECCV 2020 Learning to Generate Novel Domains for Domain Generalization Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang

NeurIPS 2020 Online Meta-Critic Learning for Off-Policy Actor-Critic Methods Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy Hospedales

ECCVW 2020 Sequential Learning for Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales

AAAI 2019 Disjoint Label Space Transfer Learning with Common Factorised Space Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales

ICML 2019 Feature-Critic Networks for Heterogeneous Domain Generalization Yiying Li, Yongxin Yang, Wei Zhou, Timothy Hospedales

ECCV 2018 Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy Hospedales, Neil Robertson, Yongxin Yang

AAAI 2018 Learning to Generalize: Meta-Learning for Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales

ICCV 2017 Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil M. Robertson, Yongxin Yang

ICLR 2017 Deep Multi-Task Representation Learning: A Tensor Factorisation Approach Yongxin Yang, Timothy M. Hospedales

ICCV 2017 Deeper, Broader and Artier Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales

AAAI 2017 Gated Neural Networks for Option Pricing: Rationality by Design Yongxin Yang, Yu Zheng, Timothy M. Hospedales

ICLR 2017 Trace Norm Regularised Deep Multi-Task Learning Yongxin Yang, Timothy M. Hospedales

CVPR 2016 Multivariate Regression on the Grassmannian for Predicting Novel Domains Yongxin Yang, Timothy M. Hospedales

ICLR 2015 A Unified Perspective on Multi-Domain and Multi-Task Learning Yongxin Yang, Timothy M. Hospedales

ICCVW 2015 When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William J. Christmas, Stan Z. Li, Timothy M. Hospedales

ECCV 2014 Weakly Supervised Learning of Objects, Attributes and Their Associations Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang