Dong Nie
15 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (6) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (35)
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Hot Topic Early Bird
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Conference Polyglot
(8)
π
Academic Marathon
(6)
π§¬
Topic Evolution
π
Century Club
(14)
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Conference Pioneer
π₯
Unstoppable
(7)
ποΈ
Keyword Collector
(63)
Conferences
MICCAI (4)
AAAI (3)
CVPR (3)
ACL (1)
ECCV (1)
EMNLP (1)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
multi-modal learning
(2)
graph neural network
(2)
parameter-efficient fine-tuning
(2)
multimodal learning
(2)
encoder-decoder architecture
(2)
feature extraction
(1)
network architecture
(1)
semantic segmentation
(1)
named entity recognition
(1)
adversarial learning
(1)
image captioning
(1)
image synthesis
(1)
topic modeling
(1)
medical report generation
(1)
medical image classification
(1)
medical image segmentation
(1)
image denoising
(1)
message passing
(1)
weakly-supervised learning
(1)
attention mechanism
(1)
Papers
Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation
AAAI 2026
Β΅2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation
MICCAI 2025
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
Unveiling LoRA Intrinsic Ranks via Salience Analysis
NIPS 2024
Boosting Textural NER with Synthetic Image and Instructive Alignment
ACL 2024
TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI
MICCAI 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