Yongxin Yang

HyperIV: Real-time Implied Volatility Smoothing ICML 2025 Generating compositional scenes via Text-to-image RGBA Instance Generation NeurIPS 2024 MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation CVPR 2024 RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation MICCAI 2024 Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models ICML 2024 ChiroDiff: Modelling chirographic data with Diffusion Models ICLR 2023 Learning To Name Classes for Vision and Language Models CVPR 2023 MEDFAIR: Benchmarking Fairness for Medical Imaging ICLR 2023 Mixture of Normalizing Flows for European Option Pricing UAI 2023 Augmented Sliced Wasserstein Distances ICLR 2022 Long-Tail Recognition via Compositional Knowledge Transfer CVPR 2022 Loss Function Learning for Domain Generalization by Implicit Gradient ICML 2022 Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images IJCAI 2022 SketchODE: Learning neural sketch representation in continuous time ICLR 2022 ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization NeurIPS 2022 Cloud2Curve: Generation and Vectorization of Parametric Sketches CVPR 2021 Context-Aware Layout to Image Generation With Enhanced Object Appearance CVPR 2021 Domain Generalization with MixStyle ICLR 2021 EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization NeurIPS 2021 More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval CVPR 2021 Simple and Effective Stochastic Neural Networks AAAI 2021 StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval CVPR 2021 Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting CVPR 2021 A Tree-Structured Decoder for Image-to-Markup Generation ICML 2020 BézierSketch: A generative model for scalable vector sketches ECCV 2020 DADA: Differentiable Automatic Data Augmentation ECCV 2020 Deep Domain-Adversarial Image Generation for Domain Generalisation AAAI 2020 Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach AAAI 2020 Learning to Generate Novel Domains for Domain Generalization ECCV 2020 Online Meta-Critic Learning for Off-Policy Actor-Critic Methods NeurIPS 2020 Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval CVPR 2020 Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval CVPR 2020 Stochastic Classifiers for Unsupervised Domain Adaptation CVPR 2020 Disjoint Label Space Transfer Learning with Common Factorised Space AAAI 2019 Episodic Training for Domain Generalization ICCV 2019 Feature-Critic Networks for Heterogeneous Domain Generalization ICML 2019 Generalising Fine-Grained Sketch-Based Image Retrieval CVPR 2019 Generalizable Person Re-Identification by Domain-Invariant Mapping Network CVPR 2019 Goal-Driven Sequential Data Abstraction ICCV 2019 Omni-Scale Feature Learning for Person Re-Identification ICCV 2019 Robust Person Re-Identification by Modelling Feature Uncertainty ICCV 2019 Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States ECCV 2018 Learning Deep Sketch Abstraction CVPR 2018 Learning to Compare: Relation Network for Few-Shot Learning CVPR 2018 Attribute-Enhanced Face Recognition With Neural Tensor Fusion Networks ICCV 2017 Deeper, Broader and Artier Domain Generalization ICCV 2017 Multivariate Regression on the Grassmannian for Predicting Novel Domains CVPR 2016