Yuexiang Li
28 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (42) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint
π€
Dynamic Duo
(23)
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Conference Pioneer
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(106)
Top co-authors
Research topics
Deep Learning
(18)
Machine Learning
(17)
Computer Vision
(14)
Learning Types Β· Deep Learning
(10)
Analysis
(8)
Application Areas
(8)
Models
(8)
Architectures
(7)
Domain-Specific
(7)
Artificial Intelligence
(5)
Healthcare & Medicine
(5)
Clinical
(5)
Learning Types Β· Machine Learning
(5)
Techniques
(4)
Optimization & Theory
(3)
Keywords
domain generalization
(5)
semantic segmentation
(5)
medical image segmentation
(4)
generative adversarial network
(4)
domain adaptation
(3)
image generation
(3)
state space model
(3)
semi-supervised learning
(2)
manifold learning
(2)
convolutional neural network
(2)
diffusion model
(2)
dense prediction
(2)
image restoration
(1)
vision transformer
(1)
variational inference
(1)
representation learning
(1)
video generation
(1)
online learning
(1)
object detection
(1)
curriculum learning
(1)
Papers
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
CVPR 2025
A Simple yet Mighty Hartley Diffusion Versatilist for Generalizable Dense Vision Tasks
ICCV 2025
D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM
MICCAI 2025
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
AAAI 2025
NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation
CVPR 2025
SΒ³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation
AAAI 2025
Temporal Model-Based Federated Active Medical Image Classification
MICCAI 2025
A New Perspective to Boost Performance Fairness For Medical Federated Learning
MICCAI 2024
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation
AAAI 2024
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models
CVPR 2024
Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation
MICCAI 2024
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation
NeurIPS 2024
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries
AAAI 2024
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading
NeurIPS 2024
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage
CVPR 2023
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
ICCV 2023
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation
AAAI 2023
Combating Mode Collapse via Offline Manifold Entropy Estimation
AAAI 2023
Dynamically Masked Discriminator for GANs
NeurIPS 2023
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs
ICCV 2023
Interactive Segmentation As Gaussion Process Classification
CVPR 2023
Learning Visual Prior via Generative Pre-Training
NeurIPS 2023
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation
CVPR 2023
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
IJCAI 2022
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks
ECCV 2022
Dual Adversarial Network for Deep Active Learning
ECCV 2020
Generative Adversarial Networks for Video-to-Video Domain Adaptation
AAAI 2020
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation
ECCV 2020