Yulin Wang
29 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Conference Polyglot (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (10)
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Cross-Pollinator
(10)
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Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(65)
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Dynamic Duo
(21)
π§¬
Topic Evolution
β‘
Prolific Year
(5)
π
Conference Pioneer
π₯
Unstoppable
(7)
π
Century Club
(29)
ποΈ
Keyword Collector
(134)
β
The Questioner
Conferences
CVPR (9)
ICCV (9)
NIPS (5)
MICCAI (3)
ECCV (2)
ICLR (1)
Top co-authors
Keywords
efficient computing
(4)
image classification
(3)
multimodal large language model
(3)
transfer learning
(3)
image generation
(3)
diffusion model
(3)
data augmentation
(3)
domain adaptation
(2)
adaptive computation
(2)
world model
(2)
object detection
(2)
reinforcement learning
(2)
computational efficiency
(2)
image synthesis
(2)
video recognition
(2)
model compression
(2)
vision transformer
(2)
medical imaging
(2)
efficient inference
(2)
adaptive inference
(2)
Papers
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
CVPR 2025
Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET
MICCAI 2025
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
CVPR 2025
XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?
CVPR 2025
EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance
CVPR 2025
HccePose(BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation
ICCV 2025
MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
MICCAI 2025
IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance
ICCV 2025
LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching
ICCV 2025
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation
ECCV 2024
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis
CVPR 2024
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
NIPS 2024
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis
NIPS 2024
Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis
MICCAI 2024
Adaptive Rotated Convolution for Rotated Object Detection
ICCV 2023
Deep Incubation: Training Large Models by Divide-and-Conquering
ICCV 2023
Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm
ICCV 2023
Dynamic Perceiver for Efficient Visual Recognition
ICCV 2023
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones
ICCV 2023
AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition
ECCV 2022
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
CVPR 2022
Adaptive Focus for Efficient Video Recognition
ICCV 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
CVPR 2021
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition
NIPS 2021
Transferable Semantic Augmentation for Domain Adaptation
CVPR 2021
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
CVPR 2021
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training
ICLR 2021
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification
NIPS 2020
Implicit Semantic Data Augmentation for Deep Networks
NIPS 2019