Yongxin Yang - RankMe

168 papers A* 45A 7B 2Misc 4Journal 87Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Spectral Attention Steering for Prompt Highlighting. CoRR Weixian Waylon Li, Yuchen Niu, Yongxin Yang, Keshuang Li, Tiejun Ma, Shay B. Cohen
2025	J	`jnl`	Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities. CoRR Raman Dutt, Harleen Hanspal, Guoxuan Xia, Petru-Daniel Tudosiu, Alexander Black, Yongxin Yang, Steven McDonagh, Sarah Parisot
2025	A*	`conf`	HyperIV: Real-time Implied Volatility Smoothing. ICML Yongxin Yang, Wenqi Chen, Chao Shu, Timothy M. Hospedales
2025	J	`jnl`	MedVision: Dataset and Benchmark for Quantitative Medical Image Analysis. CoRR Yongchen Yao, Yongshuo Zong, Raman Dutt, Yongxin Yang, Sotirios A. Tsaftaris, Timothy M. Hospedales
2025	—	`conf`	SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting. CVPR Workshops Kaichen Zhou, Lanqing Hong, Xinhai Chang, Yingji Zhong, Enze Xie, Hao Dong, Zhihao Li, Yongxin Yang, Zhenguo Li, Wei Zhang
2024	—	`conf`	A Multimodal Fake News Detection Model Based on Cross-Image Semantic Fusion. MSN Huanran Wang, Yongxin Yang, Shuai Han, Zhenyuan He, Wu Yang
2024	J	`jnl`	Generating Compositional Scenes via Text-to-image RGBA Instance Generation. CoRR Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Sarah Parisot
2024	A*	`conf`	Generating compositional scenes via Text-to-image RGBA Instance Generation. NeurIPS Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Sarah Parisot
2024	J	`jnl`	Label-efficient object detection via region proposal network pre-training. Neurocomputing Nanqing Dong, Linus Ericsson, Yongxin Yang, Ales Leonardis, Steven McDonagh
2024	—	`conf`	Leveraging Stochastic Optimization in Asset Allocation for Enhanced Index Tracking. CIFEr Yuanyuan Liu, Yongxin Yang
2024	A*	`conf`	MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation. CVPR Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot
2024	J	`jnl`	MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation. CoRR Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot
2024	J	`jnl`	MixStyle Neural Networks for Domain Generalization and Adaptation. Int. J. Comput. Vis. Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
2024	—	`conf`	RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation. MICCAI (1) Wei Dai, Yinghao Yao, Hengte Kong, Zhen Ji Chen, Sheng Wang, Qingshi Bai, Haojun Sun, Yongxin Yang, Jianzhong Su
2024	A*	`conf`	Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. ICML Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales
2024	J	`jnl`	Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. CoRR Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales
2024	J	`jnl`	Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation. Comput. Medical Imaging Graph. Xiaoming Jiang, Yongxin Yang, Tong Su, Kai Xiao, Lidan Lu, Wei Wang, Changsong Guo, Lizhi Shao, Mingjing Wang, Dong Jiang
2023	—	`conf`	An Evaluation of Self-supervised Learning for Portfolio Diversification. ICANN (3) Yongxin Yang, Timothy M. Hospedales
2023	Misc	`conf`	Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection. ICASSP Xiongjie Chen, Yunpeng Li, Yongxin Yang
2023	A*	`conf`	ChiroDiff: Modelling chirographic data with Diffusion Models. ICLR Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2023	J	`jnl`	ChiroDiff: Modelling chirographic data with Diffusion Models. CoRR Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2023	A*	`conf`	Learning to Name Classes for Vision and Language Models. CVPR Sarah Parisot, Yongxin Yang, Steven McDonagh
2023	J	`jnl`	Learning to Name Classes for Vision and Language Models. CoRR Sarah Parisot, Yongxin Yang, Steven McDonagh
2023	A*	`conf`	MEDFAIR: Benchmarking Fairness for Medical Imaging. ICLR Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales
2023	J	`jnl`	Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error. Trans. Mach. Learn. Res. Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
2023	A	`conf`	Mixture of Normalizing Flows for European Option Pricing. UAI Yongxin Yang, Timothy M. Hospedales
2023	—	`conf`	On Calibration of Mathematical Finance Models by Hypernetworks. ECML/PKDD (6) Yongxin Yang, Timothy M. Hospedales
2023	J	`jnl`	Optimisation-Based Multi-Modal Semantic Image Editing. CoRR Bowen Li, Yongxin Yang, Steven McDonagh, Shifeng Zhang, Petru-Daniel Tudosiu, Sarah Parisot
2023	—	`conf`	Partial Index Tracking: A Meta-Learning Approach. CoLLAs Yongxin Yang, Timothy M. Hospedales
2023	J	`jnl`	SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields. CoRR Kaichen Zhou, Lanqing Hong, Enze Xie, Yongxin Yang, Zhenguo Li, Wei Zhang
2022	J	`jnl`	An Application-oblivious Memory Scheduling System for DNN Accelerators. ACM Trans. Archit. Code Optim. Jiansong Li, Xueying Wang, Xiaobing Chen, Guangli Li, Xiao Dong, Peng Zhao, Xianzhi Yu, Yongxin Yang, Wei Cao, Lei Liu, Xiaobing Feng
2022	A*	`conf`	Augmented Sliced Wasserstein Distances. ICLR Xiongjie Chen, Yongxin Yang, Yunpeng Li
2022	J	`jnl`	Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection. CoRR Xiongjie Chen, Yunpeng Li, Yongxin Yang
2022	J	`jnl`	Fine-Grained VR Sketching: Dataset and Insights. CoRR Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song
2022	J	`jnl`	Learning Generalisable Omni-Scale Representations for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang
2022	A*	`conf`	Long-tail Recognition via Compositional Knowledge Transfer. CVPR Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
2022	A*	`conf`	Loss Function Learning for Domain Generalization by Implicit Gradient. ICML Boyan Gao, Henry Gouk, Yongxin Yang, Timothy M. Hospedales
2022	J	`jnl`	MEDFAIR: Benchmarking Fairness for Medical Imaging. CoRR Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales
2022	J	`jnl`	Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. CoRR Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh
2022	A*	`conf`	Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. IJCAI Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh
2022	A*	`conf`	SketchODE: Learning neural sketch representation in continuous time. ICLR Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2022	J	`jnl`	Towards 3D VR-Sketch to 3D Shape Retrieval. CoRR Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song
2022	A	`conf`	Towards Unsupervised Sketch-based Image Retrieval. BMVC Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song
2022	A*	`conf`	ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. NeurIPS Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
2022	J	`jnl`	ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. CoRR Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
2021	A*	`conf`	Cloud2Curve: Generation and Vectorization of Parametric Sketches. CVPR Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2021	J	`jnl`	Cloud2Curve: Generation and Vectorization of Parametric Sketches. CoRR Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2021	A*	`conf`	Context-Aware Layout to Image Generation With Enhanced Object Appearance. CVPR Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang
2021	J	`jnl`	Context-Aware Layout to Image Generation with Enhanced Object Appearance. CoRR Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang
2021	J	`jnl`	Domain Adaptive Ensemble Learning. IEEE Trans. Image Process. Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
2021	A	`conf`	Domain Attention Consistency for Multi-Source Domain Adaptation. BMVC Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang
2021	J	`jnl`	Domain Attention Consistency for Multi-Source Domain Adaptation. CoRR Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang
2021	A*	`conf`	Domain Generalization with MixStyle. ICLR Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
2021	J	`jnl`	Domain Generalization with MixStyle. CoRR Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
2021	J	`jnl`	Dynamic multi-period sparse portfolio selection model with asymmetric investors' sentiments. Expert Syst. Appl. Ju Wei, Yongxin Yang, Mingzhu Jiang, Jianguo Liu
2021	A*	`conf`	EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization. NeurIPS Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
2021	J	`jnl`	EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization. CoRR Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
2021	—	`conf`	Fine-Grained VR Sketching: Dataset and Insights. 3DV Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song
2021	A*	`conf`	Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction. KDD Yu Zheng, Yongxin Yang, Bowei Chen
2021	J	`jnl`	Long-tail Recognition via Compositional Knowledge Transfer. CoRR Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
2021	J	`jnl`	Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error. CoRR Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
2021	J	`jnl`	MixStyle Neural Networks for Domain Generalization and Adaptation. CoRR Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
2021	A*	`conf`	More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. CVPR Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song
2021	J	`jnl`	More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. CoRR Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song
2021	B	`conf`	Pinpointing the Memory Behaviors of DNN Training. ISPASS 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	J	`jnl`	Pinpointing the Memory Behaviors of DNN Training. CoRR 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	J	`jnl`	Residual Contrastive Learning for Joint Demosaicking and Denoising. CoRR Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh
2021	J	`jnl`	SRD: A Tree Structure Based Decoder for Online Handwritten Mathematical Expression Recognition. IEEE Trans. Multim. Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Lirong Dai
2021	A*	`conf`	Simple and Effective Stochastic Neural Networks. AAAI Tianyuan Yu, Yongxin Yang, Da Li, Timothy M. Hospedales, Tao Xiang
2021	A*	`conf`	StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. CVPR Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song
2021	J	`jnl`	StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. CoRR Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song
2021	A	`conf`	Tensor Composition Net for Visual Relationship Prediction. BMVC Yuting Qiang, Yongxin Yang, Xueting Zhang, Yanwen Guo, Timothy M. Hospedales
2021	J	`jnl`	Toward Fine-Grained Sketch-Based 3D Shape Retrieval. IEEE Trans. Image Process. Anran Qi, Yulia Gryaditskaya, Jifei Song, Yongxin Yang, Yonggang Qi, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2021	A*	`conf`	Towards Stochastic Neural Network via Feature Distribution Calibration. ICDM Hao Yang, Min Wang, Yun Zhou, Yongxin Yang
2021	J	`jnl`	Towards Unsupervised Sketch-based Image Retrieval. CoRR Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song
2021	A*	`conf`	Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. CVPR Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2021	J	`jnl`	Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. CoRR Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2020	A*	`conf`	A Tree-Structured Decoder for Image-to-Markup Generation. ICML Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Si Wei, Lirong Dai
2020	—	`conf`	Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-identification. ECCV Workshops (1) Xiao Gong, Guosheng Hu, Timothy M. Hospedales, Yongxin Yang
2020	J	`jnl`	Augmented Sliced Wasserstein Distances. CoRR Xiongjie Chen, Yongxin Yang, Yunpeng Li
2020	—	`conf`	BézierSketch: A Generative Model for Scalable Vector Sketches. ECCV (26) Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2020	J	`jnl`	BézierSketch: A generative model for scalable vector sketches. CoRR Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2020	A	`conf`	Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval. BMVC Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song
2020	J	`jnl`	Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval. CoRR Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song
2020	Misc	`conf`	Deep Clustering for Domain Adaptation. ICASSP Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
2020	Misc	`conf`	Deep Clusteringwith Concrete K-Means. ICASSP Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
2020	A*	`conf`	Deep Domain-Adversarial Image Generation for Domain Generalisation. AAAI Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2020	J	`jnl`	Deep Domain-Adversarial Image Generation for Domain Generalisation. CoRR Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2020	—	`conf`	Differentiable Automatic Data Augmentation. ECCV (22) Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang
2020	Misc	`conf`	Diversity and Sparsity: A New Perspective on Index Tracking. ICASSP Yu Zheng, Timothy M. Hospedales, Yongxin Yang
2020	J	`jnl`	Domain Adaptive Ensemble Learning. CoRR Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
2020	J	`jnl`	Flexible Dataset Distillation: Learn Labels Instead of Images. CoRR Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
2020	A*	`conf`	Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. AAAI Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang
2020	—	`conf`	Index tracking with differentiate asset selection. ICAIF Yu Zheng, Yunpeng Li, Qiuhua Xu, Timothy M. Hospedales, Yongxin Yang
2020	—	`conf`	Learning to Generate Novel Domains for Domain Generalization. ECCV (16) Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2020	J	`jnl`	Learning to Generate Novel Domains for Domain Generalization. CoRR Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2020	A*	`conf`	Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. NeurIPS Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy M. Hospedales
2020	J	`jnl`	Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. CoRR Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy M. Hospedales
2020	J	`jnl`	Pixelor: a competitive sketching AI agent. so you think you can sketch? ACM Trans. Graph. Ayan Kumar Bhunia, Ayan Das, Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song
2020	B	`conf`	RelationNet2: Deep Comparison Network for Few-Shot Learning. IJCNN Xueting Zhang, Yuting Qiang, Flood Sung, Yongxin Yang, Timothy M. Hospedales
2020	—	`conf`	Sequential Learning for Domain Generalization. ECCV Workshops (1) Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
2020	J	`jnl`	Sequential Learning for Domain Generalization. CoRR Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
2020	J	`jnl`	Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval. CoRR Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2020	A*	`conf`	Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. CVPR Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2020	J	`jnl`	Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation. IEEE Trans. Image Process. Conghui Hu, Da Li, Yongxin Yang, Timothy M. Hospedales, Yi-Zhe Song
2020	A*	`conf`	Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval. CVPR Kaiyue Pang, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2020	A*	`conf`	Stochastic Classifiers for Unsupervised Domain Adaptation. CVPR Zhihe Lu, Yongxin Yang, Xiatian Zhu, Cong Liu, Yi-Zhe Song, Tao Xiang
2020	J	`jnl`	Tensor Composition Net for Visual Relationship Prediction. CoRR Yuting Qiang, Yongxin Yang, Xueting Zhang, Yanwen Guo, Timothy M. Hospedales
2020	—	`conf`	Towards 3D VR-Sketch to 3D Shape Retrieval. 3DV Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song
2019	J	`jnl`	An Alternative Hybrid Time-Frequency Domain Approach Based on Fast Iterative Shrinkage-Thresholding Algorithm for Rotating Acoustic Source Identification. IEEE Access Xin Zhang, Zhigang Chu, Yang Yang, Shuyi Zhao, Yongxin Yang
2019	J	`jnl`	Deep clustering with concrete k-means. CoRR Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
2019	A*	`conf`	Disjoint Label Space Transfer Learning with Common Factorised Space. AAAI Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales
2019	A*	`conf`	Episodic Training for Domain Generalization. ICCV Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales
2019	J	`jnl`	Episodic Training for Domain Generalization. CoRR Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales
2019	A*	`conf`	Feature-Critic Networks for Heterogeneous Domain Generalization. ICML Yiying Li, Yongxin Yang, Wei Zhou, Timothy M. Hospedales
2019	J	`jnl`	Feature-Critic Networks for Heterogeneous Domain Generalization. CoRR Yiying Li, Yongxin Yang, Wei Zhou, Timothy M. Hospedales
2019	J	`jnl`	Gated deep neural networks for implied volatility surfaces. CoRR Yu Zheng, Yongxin Yang, Bowei Chen
2019	A*	`conf`	Generalising Fine-Grained Sketch-Based Image Retrieval. CVPR Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2019	A*	`conf`	Generalizable Person Re-Identification by Domain-Invariant Mapping Network. CVPR Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2019	A*	`conf`	Goal-Driven Sequential Data Abstraction. ICCV Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2019	J	`jnl`	Goal-Driven Sequential Data Abstraction. CoRR Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2019	J	`jnl`	Learning Generalisable Omni-Scale Representations for Person Re-Identification. CoRR Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang
2019	J	`jnl`	Minimum Connected Dominating Set Algorithms for Ad Hoc Sensor Networks. Sensors Xuemei Sun, Yongxin Yang, Maode Ma
2019	A*	`conf`	Omni-Scale Feature Learning for Person Re-Identification. ICCV Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang
2019	J	`jnl`	Omni-Scale Feature Learning for Person Re-Identification. CoRR Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang
2019	A*	`conf`	Robust Person Re-Identification by Modelling Feature Uncertainty. ICCV Tianyuan Yu, Da Li, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2018	J	`jnl`	Deep Comparison: Relation Columns for Few-Shot Learning. CoRR Xueting Zhang, Flood Sung, Yuting Qiang, Yongxin Yang, Timothy M. Hospedales
2018	—	`conf`	Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States. ECCV (12) Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang
2018	J	`jnl`	Deep Neural Decision Trees. CoRR Yongxin Yang, Irene Garcia Morillo, Timothy M. Hospedales
2018	J	`jnl`	Disjoint Label Space Transfer Learning with Common Factorised Space. CoRR Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales
2018	J	`jnl`	Frankenstein: Learning Deep Face Representations Using Small Data. IEEE Trans. Image Process. Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, Jakob Verbeek
2018	A*	`conf`	Learning Deep Sketch Abstraction. CVPR Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2018	J	`jnl`	Learning Deep Sketch Abstraction. CoRR Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2018	A*	`conf`	Learning to Compare: Relation Network for Few-Shot Learning. CVPR Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales
2018	A*	`conf`	Learning to Generalize: Meta-Learning for Domain Generalization. AAAI Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
2018	J	`jnl`	Sensitivity Analysis of Geometrical Parameters on the Aerodynamic Performance of Closed-Box Girder Bridges. Sensors Yongxin Yang, Rui Zhou, Yaojun Ge, Yanliang Du, Lihai Zhang
2017	J	`jnl`	Actor-Critic Sequence Training for Image Captioning. CoRR Li Zhang, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, Timothy M. Hospedales
2017	A*	`conf`	Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks. ICCV Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang
2017	—	`conf`	Deep Multi-task Representation Learning: A Tensor Factorisation Approach. ICLR (Poster) Yongxin Yang, Timothy M. Hospedales
2017	A*	`conf`	Deeper, Broader and Artier Domain Generalization. ICCV Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
2017	J	`jnl`	Deeper, Broader and Artier Domain Generalization. CoRR Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
2017	A*	`conf`	Gated Neural Networks for Option Pricing: Rationality by Design. AAAI Yongxin Yang, Yu Zheng, Timothy M. Hospedales
2017	—	`—`	Knowledge sharing: from atomic to parametrised context and shallow to deep models. Yongxin Yang
2017	J	`jnl`	Learning to Compare: Relation Network for Few-Shot Learning. CoRR Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales
2017	J	`jnl`	Learning to Generalize: Meta-Learning for Domain Generalization. CoRR Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
2017	J	`jnl`	Learning to Learn: Meta-Critic Networks for Sample Efficient Learning. CoRR Flood Sung, Li Zhang, Tao Xiang, Timothy M. Hospedales, Yongxin Yang
2017	J	`jnl`	Sketch-a-Net: A Deep Neural Network that Beats Humans. Int. J. Comput. Vis. Qian Yu, Yongxin Yang, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2017	—	`conf`	Trace Norm Regularised Deep Multi-Task Learning. ICLR (Workshop) Yongxin Yang, Timothy M. Hospedales
2017	—	`ch.`	Unifying Multi-domain Multitask Learning: Tensor and Neural Network Perspectives. Domain Adaptation in Computer Vision Applications Yongxin Yang, Timothy M. Hospedales
2017	J	`jnl`	Weakly Supervised Image Annotation and Segmentation with Objects and Attributes. CoRR Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2017	J	`jnl`	Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2016	J	`jnl`	Deep Multi-task Representation Learning: A Tensor Factorisation Approach. CoRR Yongxin Yang, Timothy M. Hospedales
2016	J	`jnl`	Frankenstein: Learning Deep Face Representations using Small Data. CoRR Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, Jakob Verbeek
2016	J	`jnl`	Gated Neural Networks for Option Pricing: Rationality by Design. CoRR Yongxin Yang, Yu Zheng, Timothy M. Hospedales
2016	A*	`conf`	Multivariate Regression on the Grassmannian for Predicting Novel Domains. CVPR Yongxin Yang, Timothy M. Hospedales
2016	J	`jnl`	Trace Norm Regularised Deep Multi-Task Learning. CoRR Yongxin Yang, Timothy M. Hospedales
2016	J	`jnl`	Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives. CoRR Yongxin Yang, Timothy M. Hospedales
2015	—	`conf`	A Unified Perspective on Multi-Domain and Multi-Task Learning. ICLR (Poster) Yongxin Yang, Timothy M. Hospedales
2015	J	`jnl`	Deep Neural Networks for Sketch Recognition. CoRR Yongxin Yang, Timothy M. Hospedales
2015	A	`conf`	Sketch-a-Net that Beats Humans. BMVC Qian Yu, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2015	J	`jnl`	Transductive Multi-class and Multi-label Zero-shot Learning. CoRR Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong
2015	J	`jnl`	Transductive Multi-label Zero-shot Learning. CoRR Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong
2015	J	`jnl`	Weakly Supervised Learning of Objects, Attributes and their Associations. CoRR Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2015	—	`conf`	When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition. ICCV Workshops Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William J. Christmas, Stan Z. Li, Timothy M. Hospedales
2015	J	`jnl`	When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition. CoRR Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William J. Christmas, Stan Z. Li, Timothy M. Hospedales
2015	J	`jnl`	Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian. CoRR Yongxin Yang, Timothy M. Hospedales
2014	A	`conf`	Transductive Multi-label Zero-shot Learning. BMVC Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong
2014	—	`conf`	Weakly Supervised Learning of Objects, Attributes and Their Associations. ECCV (2) Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang