Dong Nie
16 papers · 2019–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (33)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(64)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
Top co-authors
Research topics
Computer Vision
(8)
Deep Learning
(8)
Machine Learning
(7)
Artificial Intelligence
(5)
Core AI
(5)
Learning Types Β· Deep Learning
(5)
Healthcare & Medicine
(3)
Architectures
(3)
Clinical
(3)
Core Methods
(3)
Domain-Specific
(3)
Learning Types Β· Machine Learning
(3)
Processing
(3)
Analysis
(2)
Application Areas
(2)
Keywords
zero-shot learning
(2)
parameter-efficient fine-tuning
(2)
encoder-decoder architecture
(2)
multimodal learning
(2)
medical image segmentation
(2)
graph neural network
(2)
network architecture
(1)
few-shot learning
(1)
semantic segmentation
(1)
topic modeling
(1)
named entity recognition
(1)
weakly supervised learning
(1)
image captioning
(1)
image synthesis
(1)
adversarial learning
(1)
image denoising
(1)
medical image classification
(1)
attention mechanism
(1)
message passing
(1)
medical report generation
(1)
Papers
Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation
AAAI 2026
Simple-ViLMedSAM: Simple Text Prompts Meet Vision-Language Models for Medical Image Segmentation
CVPR 2026
Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation
CVPR 2025
Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-Supervised Segmentation
MICCAI 2025
Β΅2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation
MICCAI 2025
Boosting Textural NER with Synthetic Image and Instructive Alignment
ACL 2024
TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI
MICCAI 2024
Unveiling LoRA Intrinsic Ranks via Salience Analysis
NeurIPS 2024
WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI
MICCAI 2024
The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior
ICCV 2023
Doubly-Fused ViT: Fuse Information from Vision Transformer Doubly with Local Representation
ECCV 2022
Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation
CVPR 2022
Weakly-Supervised Metric Learning With Cross-Module Communications for the Classification of Anterior Chamber Angle Images
CVPR 2022
Automated Generation of Accurate & Fluent Medical X-ray Reports
EMNLP 2021
Hybrid Graph Neural Networks for Crowd Counting
AAAI 2020
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation
AAAI 2019