Juncheng Liu
8 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24)
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Research topics
Machine Learning
(8)
Deep Learning
(5)
Core Methods
(5)
Architectures
(4)
Application Areas
(3)
Learning Types Β· Deep Learning
(3)
Learning Types Β· Machine Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Applications
(1)
Optimization & Theory
(1)
Representation
(1)
Techniques
(1)
Keywords
graph neural network
(3)
long-range dependency
(3)
node classification
(2)
data augmentation
(1)
relation extraction
(1)
incremental learning
(1)
image reconstruction
(1)
transformer
(1)
pretraining
(1)
discriminant analysis
(1)
graph embedding
(1)
novelty detection
(1)
closed-form solution
(1)
knowledge graph
(1)
bias mitigation
(1)
mixture of expert
(1)
entity alignment
(1)
encrypted dataset
(1)
implicit model
(1)
infinite depth
(1)
Papers
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
ICML 2025
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
ICLR 2024
A Fusion-Denoising Attack on InstaHide with Data Augmentation
AAAI 2022
Dangling-Aware Entity Alignment with Mixed High-Order Proximities
NAACL 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
NeurIPS 2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
NAACL 2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks
NeurIPS 2021
Incremental Kernel Null Space Discriminant Analysis for Novelty Detection
CVPR 2017