Liangqiong Qu
15 papers · 2017–2026 · 5 conferences · across top CS/AI conferences
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AAAI (5)
CVPR (5)
EMNLP (2)
MICCAI (2)
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federated learning
(3)
brain ct
(2)
graph neural network
(2)
large language model
(2)
medical report generation
(2)
image restoration
(2)
data heterogeneity
(2)
catastrophic forgetting
(1)
contrastive learning
(1)
differential privacy
(1)
image generation
(1)
transfer learning
(1)
action recognition
(1)
medical imaging
(1)
few-shot learning
(1)
representation learning
(1)
multimodal learning
(1)
text generation
(1)
cross-modal learning
(1)
semi-supervised learning
(1)
Papers
StyleTailor: Towards Personalized Fashion Styling via Hierarchical Negative Feedback
AAAI 2026
Unleashing the Potential of Large Language Models for Text-to-Image Generation Through Autoregressive Representation Alignment
AAAI 2026
MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation
AAAI 2025
Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation
MICCAI 2025
Selective Aggregation for Low-Rank Adaptation in Federated Learning
ICLR 2025
A New Federated Learning Framework Against Gradient Inversion Attacks
AAAI 2025
Residual Denoising Diffusion Models
CVPR 2024
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
CVPR 2024
FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning
CVPR 2024
Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection
AAAI 2024
See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning
EMNLP 2024
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition
MICCAI 2024
Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation
EMNLP 2023
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
CVPR 2022
DeshadowNet: A Multi-Context Embedding Deep Network for Shadow Removal
CVPR 2017