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Conferences
Jing Tao
9 papers at tracked venues · 9 at CORE A* · active 2024–2025
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Venues
AAAI
×2
ICDE
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ICML
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NeurIPS
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SIGIR
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WWW
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Frequent coauthors
Hongbin Pei
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Jie Ma
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Juxiang Zeng
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Lin Lan
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Tao Duan
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Papers
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models
AAAI 2025
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Jie Ma
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Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
NeurIPS 2025
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Jie Ma
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IsGCL: Informative Sample-Aware Progressive Graph Contrastive Learning
ICDE 2025
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Juxiang Zeng
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Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics
ICML 2025
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Hongbin Pei
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Grand: A Fast and Accurate Graph Retrieval Framework via Knowledge Distillation
SIGIR 2024
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Lin Lan
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HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning
AAAI 2024
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Hongbin Pei
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Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning
WWW 2024
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Hongbin Pei
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Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing
ICML 2024
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Hongbin Pei
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Representation Learning of Tangled Key-Value Sequence Data for Early Classification
ICDE 2024
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Tao Duan
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