Dong Yang
39 papers · 2009–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (16) 🌍 Conference Polyglot (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10)
🌈
Renaissance Researcher
(8)
🌍
Conference Polyglot
(12)
🏃
Academic Marathon
(16)
👥
Mega-Team
(24)
🤝
Dynamic Duo
(19)
🔬
Deep Specialist
(16)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(141)
🚀
Conference Pioneer
🔥
Unstoppable
(8)
💎
Century Club
(37)
⚡
Prolific Year
(6)
Conferences
CVPR (9)
ICCV (5)
WACV (5)
MIDL (4)
INTERSPEECH (3)
AAAI (2)
ACL (2)
ECCV (2)
IJCAI (2)
NAACL (2)
COLING (1)
EMNLP (1)
ICML (1)
Top co-authors
Keywords
medical imaging
(8)
3d segmentation
(5)
medical image segmentation
(5)
neural architecture search
(4)
contrastive learning
(3)
federated learning
(3)
semi-supervised learning
(3)
large language model
(2)
computed tomography
(2)
cardiac imaging
(2)
image segmentation
(2)
3d medical image segmentation
(2)
semantic segmentation
(2)
deep learning
(2)
knowledge graph embedding
(2)
image generation
(2)
few-shot learning
(2)
image-to-image translation
(2)
latent diffusion model
(2)
vision transformer
(1)
Papers
DA-DFGAS:Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation
AAAI 2026
MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
AAAI 2026
VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
CVPR 2025
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge
CVPR 2025
MAISI: Medical AI for Synthetic Imaging
WACV 2025
Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
NAACL 2024
KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion
COLING 2024
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
MIDL 2024
LUPET: Incorporating Hierarchical Information Path into Multilingual ASR
INTERSPEECH 2024
Frame-Wise Breath Detection with Self-Training: An Exploration of Enhancing Breath Naturalness in Text-to-Speech
INTERSPEECH 2024
A Parameter-efficient Language Extension Framework for Multilingual ASR
INTERSPEECH 2024
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
ICML 2024
Learning Quality Labels for Robust Image Classification
WACV 2024
Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration
WACV 2024
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging
ICCV 2023
CoMave: Contrastive Pre-training with Multi-scale Masking for Attribute Value Extraction
ACL 2023
Fair Federated Medical Image Segmentation via Client Contribution Estimation
CVPR 2023
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
ICCV 2023
A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction
IJCAI 2023
Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction
MIDL 2023
UNETR: Transformers for 3D Medical Image Segmentation
WACV 2022
Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation
CVPR 2022
HyperSegNAS: Bridging One-Shot Neural Architecture Search With 3D Medical Image Segmentation Using HyperNet
CVPR 2022
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
CVPR 2022
GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs
EMNLP 2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation
ECCV 2022
T-AutoML: Automated Machine Learning for Lesion Segmentation Using Transformers in 3D Medical Imaging
ICCV 2021
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation
CVPR 2021
I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-Fidelity 3D Hand Mesh Modeling
ICCV 2021
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images
CVPR 2021
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network
MIDL 2020
3D semi-supervised learning with uncertainty-aware multi-view co-training
WACV 2020
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
CVPR 2020
Ensemble-based Ultrahigh-dimensional Variable Screening
IJCAI 2019
Dynamic MRI Reconstruction with Motion-Guided Network
MIDL 2019
An Alarm System for Segmentation Algorithm Based on Shape Model
ICCV 2019
Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing
ECCV 2018
Jointly Optimizing a Two-Step Conditional Random Field Model for Machine Transliteration and Its Fast Decoding Algorithm
ACL 2010
Automatic Chinese Abbreviation Generation Using Conditional Random Field
NAACL 2009