Chaoqun Wang
13 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π Academic Marathon (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (41)
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Keyword Pioneer
π£
Hot Topic Early Bird
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Century Club
(11)
ποΈ
Keyword Collector
(72)
Conferences
AAAI (5)
CVPR (4)
ICCV (1)
IJCAI (1)
MIDL (1)
NIPS (1)
Top co-authors
Keywords
zero-shot learning
(3)
knowledge distillation
(2)
visual representation
(2)
semantic alignment
(2)
representation learning
(2)
graph representation learning
(2)
pattern propagation
(2)
graph neural network
(2)
transfer learning
(2)
semantic segmentation
(2)
multi-task learning
(2)
link prediction
(1)
video generation
(1)
graph classification
(1)
image segmentation
(1)
contrastive learning
(1)
multi-modal learning
(1)
domain adaptation
(1)
channel attention
(1)
cross-modal learning
(1)
Papers
Multimodal Graph Representation Learning with Dynamic Information Pathways
AAAI 2026
SΒ²Flow: Towards Fast and Authentic Training-Free High-Resolution Video Generation
AAAI 2026
The Causal Impact of Credit Lines on Spending Distributions
AAAI 2024
Label Attentive Distillation for GNN-Based Graph Classification
AAAI 2024
Semantic Human Parsing via Scalable Semantic Transfer Over Multiple Label Domains
CVPR 2023
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series
IJCAI 2023
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency
MIDL 2023
SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection
ICCV 2023
Dual Progressive Prototype Network for Generalized Zero-Shot Learning
NIPS 2021
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning
AAAI 2021
Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning
CVPR 2020
Cross-Modal Pattern-Propagation for RGB-T Tracking
CVPR 2020
Pattern-Structure Diffusion for Multi-Task Learning
CVPR 2020