Yongxin Yang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
66
Venues
16
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
66 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | 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 |
| 2025 | ICML | HyperIV: Real-time Implied Volatility Smoothing. | Yongxin Yang, Wenqi Chen, Chao Shu, Timothy M. Hospedales |
| 2024 | CVPR | 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 |
| 2024 | ICML | Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. | Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales |
| 2024 | MICCAI | RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation. | Wei Dai, Yinghao Yao, Hengte Kong, Zhen Ji Chen, Sheng Wang, Qingshi Bai, Haojun Sun, Yongxin Yang, Jianzhong Su |
| 2023 | CVPR | Learning to Name Classes for Vision and Language Models. | Sarah Parisot, Yongxin Yang, Steven McDonagh |
| 2023 | ICANN | An Evaluation of Self-supervised Learning for Portfolio Diversification. | Yongxin Yang, Timothy M. Hospedales |
| 2023 | ICASSP | Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection. | Xiongjie Chen, Yunpeng Li, Yongxin Yang |
| 2023 | ICLR | ChiroDiff: Modelling chirographic data with Diffusion Models. | Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2023 | ICLR | MEDFAIR: Benchmarking Fairness for Medical Imaging. | Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales |
| 2023 | UAI | Mixture of Normalizing Flows for European Option Pricing. | Yongxin Yang, Timothy M. Hospedales |
| 2022 | BMVC | Towards Unsupervised Sketch-based Image Retrieval. | Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song |
| 2022 | CVPR | Long-tail Recognition via Compositional Knowledge Transfer. | Sarah Parisot, Pedro M. Esperana, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li |
| 2022 | ICLR | SketchODE: Learning neural sketch representation in continuous time. | Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2022 | ICLR | Augmented Sliced Wasserstein Distances. | Xiongjie Chen, Yongxin Yang, Yunpeng Li |
| 2022 | ICML | Loss Function Learning for Domain Generalization by Implicit Gradient. | Boyan Gao, Henry Gouk, Yongxin Yang, Timothy M. Hospedales |
| 2022 | IJCAI | Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. | Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Prez-Pellitero, Ales Leonardis, Steven McDonagh |
| 2021 | AAAI | Simple and Effective Stochastic Neural Networks. | Tianyuan Yu, Yongxin Yang, Da Li, Timothy M. Hospedales, Tao Xiang |
| 2021 | BMVC | Domain Attention Consistency for Multi-Source Domain Adaptation. | Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang |
| 2021 | BMVC | Tensor Composition Net for Visual Relationship Prediction. | Yuting Qiang, Yongxin Yang, Xueting Zhang, Yanwen Guo, Timothy M. Hospedales |
| 2021 | CVPR | Cloud2Curve: Generation and Vectorization of Parametric Sketches. | Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2021 | CVPR | 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 |
| 2021 | CVPR | 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 |
| 2021 | CVPR | 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 |
| 2021 | CVPR | StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. | Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song |
| 2021 | ICDM | Towards Stochastic Neural Network via Feature Distribution Calibration. | Hao Yang, Min Wang, Yun Zhou, Yongxin Yang |
| 2021 | ICLR | Domain Generalization with MixStyle. | Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang |
| 2021 | ISPASS | Pinpointing the Memory Behaviors of DNN Training. | Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng |
| 2021 | KDD | Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction. | Yu Zheng, Yongxin Yang, Bowei Chen |
| 2020 | AAAI | Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. | Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang |
| 2020 | AAAI | Deep Domain-Adversarial Image Generation for Domain Generalisation. | Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang |
| 2020 | BMVC | Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval. | Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song |
| 2020 | CVPR | Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. | Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2020 | CVPR | Stochastic Classifiers for Unsupervised Domain Adaptation. | Zhihe Lu, Yongxin Yang, Xiatian Zhu, Cong Liu, Yi-Zhe Song, Tao Xiang |
| 2020 | CVPR | Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval. | Kaiyue Pang, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2020 | ECCV | BzierSketch: A Generative Model for Scalable Vector Sketches. | Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2020 | ECCV | Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-identification. | Xiao Gong, Guosheng Hu, Timothy M. Hospedales, Yongxin Yang |
| 2020 | ECCV | Differentiable Automatic Data Augmentation. | Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang |
| 2020 | ECCV | Sequential Learning for Domain Generalization. | Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales |
| 2020 | ECCV | Learning to Generate Novel Domains for Domain Generalization. | Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang |
| 2020 | ICASSP | Deep Clustering for Domain Adaptation. | Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales |
| 2020 | ICASSP | Deep Clusteringwith Concrete K-Means. | Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales |
| 2020 | ICASSP | Diversity and Sparsity: A New Perspective on Index Tracking. | Yu Zheng, Timothy M. Hospedales, Yongxin Yang |
| 2020 | ICML | A Tree-Structured Decoder for Image-to-Markup Generation. | Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Si Wei, Lirong Dai |
| 2020 | IJCNN | RelationNet2: Deep Comparison Network for Few-Shot Learning. | Xueting Zhang, Yuting Qiang, Flood Sung, Yongxin Yang, Timothy M. Hospedales |
| 2019 | AAAI | Disjoint Label Space Transfer Learning with Common Factorised Space. | Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales |
| 2019 | CVPR | Generalising Fine-Grained Sketch-Based Image Retrieval. | Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2019 | CVPR | Generalizable Person Re-Identification by Domain-Invariant Mapping Network. | Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2019 | ICCV | Episodic Training for Domain Generalization. | Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales |
| 2019 | ICCV | Goal-Driven Sequential Data Abstraction. | Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2019 | ICCV | Robust Person Re-Identification by Modelling Feature Uncertainty. | Tianyuan Yu, Da Li, Yongxin Yang, Timothy M. Hospedales, Tao Xiang |
| 2019 | ICCV | Omni-Scale Feature Learning for Person Re-Identification. | Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang |
| 2019 | ICML | Feature-Critic Networks for Heterogeneous Domain Generalization. | Yiying Li, Yongxin Yang, Wei Zhou, Timothy M. Hospedales |
| 2018 | AAAI | Learning to Generalize: Meta-Learning for Domain Generalization. | Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales |
| 2018 | CVPR | Learning Deep Sketch Abstraction. | Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2018 | CVPR | Learning to Compare: Relation Network for Few-Shot Learning. | Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales |
| 2018 | ECCV | 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 M. Hospedales, Neil Martin Robertson, Yongxin Yang |
| 2017 | AAAI | Gated Neural Networks for Option Pricing: Rationality by Design. | Yongxin Yang, Yu Zheng, Timothy M. Hospedales |
| 2017 | ICCV | 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 Martin Robertson, Yongxin Yang |
| 2017 | ICCV | Deeper, Broader and Artier Domain Generalization. | Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales |
| 2017 | ICLR | Deep Multi-task Representation Learning: A Tensor Factorisation Approach. | Yongxin Yang, Timothy M. Hospedales |
| 2017 | ICLR | Trace Norm Regularised Deep Multi-Task Learning. | Yongxin Yang, Timothy M. Hospedales |
| 2016 | CVPR | Multivariate Regression on the Grassmannian for Predicting Novel Domains. | Yongxin Yang, Timothy M. Hospedales |
| 2015 | BMVC | Sketch-a-Net that Beats Humans. | Qian Yu, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2014 | BMVC | Transductive Multi-label Zero-shot Learning. | Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong |
| 2014 | ECCV | Weakly Supervised Learning of Objects, Attributes and Their Associations. | Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang |