Lijuan Sun
5 papers · 2019–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(13)
🚀
Conference Pioneer
Top co-authors
Research topics
Keywords
representation learning
(2)
contrastive learning
(1)
few-shot learning
(1)
token selection
(1)
cross-modal learning
(1)
low-rank decomposition
(1)
robust learning
(1)
state space model
(1)
node classification
(1)
vision-language model
(1)
fluid dynamics
(1)
computational fluid dynamics
(1)
neural operator
(1)
prompt tuning
(1)
graph convolution network
(1)
out-of-distribution robustness
(1)
heterophilic graph
(1)
partial multi-label learning
(1)
selective state space
(1)
label denoising
(1)
Papers
CAPT: Confusion-Aware Prompt Tuning for Reducing Vision-Language Misalignment
CVPR 2026
FCMO: A Flow-Curv Mamba Operator for Large-Scale 3D Vehicle Aerodynamics
AAAI 2026
Spotlighter: Revisiting Prompt Tuning from a Representative Mining View
EMNLP 2025
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
AAAI 2024
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition
AAAI 2019