Yuyin Zhou
35 papers · 2017–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (4)
π
Cross-Pollinator
(4)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(66)
π§¬
Topic Evolution
π€
Dynamic Duo
(20)
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Grand Slam
β‘
Prolific Year
(9)
π
Trend Setter
ποΈ
Keyword Collector
(159)
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Century Club
(35)
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Conference Pioneer
π₯
Unstoppable
(9)
β
The Questioner
(2)
Conferences
CVPR (17)
AAAI (3)
ICCV (3)
ICLR (3)
NIPS (3)
ECCV (2)
ICML (2)
MICCAI (2)
Top co-authors
Research topics
Keywords
model compression
(4)
federated learning
(4)
representation learning
(4)
image segmentation
(3)
image classification
(3)
adversarial attack
(3)
vision transformer
(3)
contrastive learning
(3)
data heterogeneity
(2)
state space model
(2)
adversarial example
(2)
feature extraction
(2)
semantic segmentation
(2)
diffusion model
(2)
efficient computing
(2)
transfer learning
(2)
medical imaging
(2)
medical image segmentation
(2)
black-box attack
(2)
vision mamba
(2)
Papers
Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency
CVPR 2025
Generative Image Layer Decomposition with Visual Effects
CVPR 2025
Mamba-Reg: Vision Mamba Also Needs Registers
CVPR 2025
Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays
MICCAI 2025
Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More
ICML 2025
A New Federated Learning Framework Against Gradient Inversion Attacks
AAAI 2025
What If We Recaption Billions of Web Images with LLaMA-3?
ICML 2025
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
ICLR 2025
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing
ICLR 2025
MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs
ICCV 2025
FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning
CVPR 2024
Scaling White-Box Transformers for Vision
NIPS 2024
DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor
NIPS 2024
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training
CVPR 2024
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
CVPR 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
CVPR 2024
MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections
CVPR 2024
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties
ECCV 2024
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition
MICCAI 2024
Can CNNs Be More Robust Than Transformers?
ICLR 2023
Masked Autoencoders Enable Efficient Knowledge Distillers
CVPR 2023
A Simple Data Mixing Prior for Improving Self-Supervised Learning
CVPR 2022
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
CVPR 2022
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
NIPS 2022
In Defense of Image Pre-training for Spatiotemporal Recognition
ECCV 2022
CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning
CVPR 2022
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks
AAAI 2021
Universal Physical Camouflage Attacks on Object Detectors
CVPR 2020
Neural Architecture Search for Lightweight Non-Local Networks
CVPR 2020
Learning Transferable Adversarial Examples via Ghost Networks
AAAI 2020
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
CVPR 2020
Improving Transferability of Adversarial Examples With Input Diversity
CVPR 2019
Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation
ICCV 2019
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation
CVPR 2018
Adversarial Examples for Semantic Segmentation and Object Detection
ICCV 2017