Cheng Ouyang
11 papers · 2018–2025 · 8 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (18) π Conference Polyglot Β· Silver β‘ Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(6)
Computer Vision
(4)
Domain-Specific
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Healthcare & Medicine
(3)
Clinical
(3)
Core AI
(3)
Core Methods
(2)
Learning Types
(2)
Optimization & Theory
(2)
Processing
(2)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Keywords
zero-shot classification
(2)
medical imaging
(2)
multimodal learning
(2)
representation learning
(2)
image segmentation
(2)
medical image segmentation
(2)
self-supervised learning
(1)
image reconstruction
(1)
denoising
(1)
magnetic resonance imaging
(1)
human feedback
(1)
probabilistic model
(1)
diffusion model
(1)
inverse problem
(1)
convolutional network
(1)
data heterogeneity
(1)
stochastic differential equation
(1)
vision-language pre-training
(1)
dense prediction
(1)
measure-preserving dynamics
(1)
Papers
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
EMNLP 2025
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
MICCAI 2025
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation
ICCV 2025
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts
MICCAI 2024
FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising
MIDL 2024
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
NeurIPS 2024
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics
NeurIPS 2024
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
MICCAI 2024
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
ICML 2024
Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
ECCV 2020
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
IJCAI 2018