← Authors

Yongxin Yang

47 papers · 2016–2025 · 10 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (89) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🀝 Dynamic Duo (23) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ’Ž Century Club (47) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (8) πŸ—ƒοΈ Keyword Collector (164) πŸ”₯ Unstoppable (10)

Conferences

CVPR (16) ICCV (6) ICLR (5) ICML (5) AAAI (4) ECCV (4) NIPS (4) IJCAI (1) MICCAI (1) UAI (1)

Top co-authors

Tao Xiang (23) Yi-Zhe Song (18) Timothy M. Hospedales (17) Timothy Hospedales (15) Kaiyang Zhou (4) Ayan Kumar Bhunia (4) Da Li (4) Sarah Parisot (4) Ayan Das (4) Steven McDonagh (4)

Keywords

domain generalization (8) representation learning (5) sketch-based image retrieval (5) domain adaptation (5) sketch recognition (4) generative model (4) transfer learning (4) feature learning (3) reinforcement learning (3) person re-identification (3) fine-grained retrieval (3) few-shot learning (3) metric learning (3) cross-modal retrieval (3) image generation (2) zero-shot learning (2) semi-supervised learning (2) image classification (2) text-to-image generation (2) image retrieval (2)

Papers

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