Qianlong Wen
7 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (11) π£ Hot Topic Early Bird β The Questioner
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Research topics
Keywords
graph neural network
(5)
self-supervised learning
(3)
class imbalance
(2)
graph contrastive learning
(2)
representation learning
(2)
preference optimization
(1)
network pruning
(1)
task generalization
(1)
mutual information maximization
(1)
node embedding
(1)
node classification
(1)
sequential recommendation
(1)
cross-view reconstruction
(1)
heterogeneous graph
(1)
graph augmentation
(1)
student model
(1)
teacher model
(1)
data sparsity
(1)
temporal context
(1)
dynamic data sparsity
(1)
Papers
What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context
ACL 2026
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
ICML 2024
GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning
UAI 2024
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
ICLR 2023
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations
ICML 2023
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification
NeurIPS 2022
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract)
IJCAI 2022