← Authors

Dong Yang

39 papers · 2009–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (59) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8) 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (16) πŸ‘₯ Mega-Team (24) 🀝 Dynamic Duo (19) πŸ”¬ Deep Specialist (16) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (141) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8) πŸ’Ž 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

Daguang Xu (20) Ziyue Xu (12) Can Zhao (11) Vishwesh Nath (9) Wenqi Li (8) Holger R. Roth (7) Yucheng Tang (7) Pengfei Guo (6) Holger Roth (6) Yufan He (6)

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