Yawen Huang
26 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(56)
π€
Dynamic Duo
(20)
π§¬
Topic Evolution
π₯
Unstoppable
(6)
β‘
Prolific Year
(5)
π
Century Club
(26)
ποΈ
Keyword Collector
(115)
π
Conference Pioneer
Conferences
CVPR (8)
AAAI (7)
ICCV (4)
NIPS (3)
MICCAI (2)
ECCV (1)
IJCAI (1)
Top co-authors
Keywords
semantic segmentation
(6)
domain generalization
(4)
generative adversarial network
(4)
medical image segmentation
(3)
image generation
(3)
medical imaging
(3)
semi-supervised learning
(3)
manifold learning
(2)
dense prediction
(2)
convolutional neural network
(2)
state space model
(2)
domain adaptation
(2)
unsupervised learning
(2)
diffusion model
(2)
online learning
(1)
continual learning
(1)
federated learning
(1)
multi-task learning
(1)
label propagation
(1)
vision transformer
(1)
Papers
NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation
CVPR 2025
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
AAAI 2025
A Simple yet Mighty Hartley Diffusion Versatilist for Generalizable Dense Vision Tasks
ICCV 2025
GaussianReg: Rapid 2D/3D Registration for Emergency Surgery via Explicit 3D Modeling with Gaussian Primitives
ICCV 2025
TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency
MICCAI 2025
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation
AAAI 2024
Federated Learning via Input-Output Collaborative Distillation
AAAI 2024
Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation
MICCAI 2024
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries
AAAI 2024
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation
NIPS 2024
Tune-An-Ellipse: CLIP Has Potential to Find What You Want
CVPR 2024
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models
CVPR 2024
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading
NIPS 2024
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage
CVPR 2023
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation
AAAI 2023
Combating Mode Collapse via Offline Manifold Entropy Estimation
AAAI 2023
Interactive Segmentation As Gaussion Process Classification
CVPR 2023
Dynamically Masked Discriminator for GANs
NIPS 2023
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation
CVPR 2023
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs
ICCV 2023
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
ICCV 2023
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks
ECCV 2022
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference
AAAI 2022
Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net
CVPR 2021
Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks
IJCAI 2020
Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding
CVPR 2017