Juncheng Liu
8 papers · 2017–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Cross-Pollinator (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (6) π Academic Marathon (8)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(20)
π
Grand Slam
β
The Questioner
Conferences
NAACL (2)
NIPS (2)
AAAI (1)
CVPR (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
long-range dependency
(2)
node classification
(2)
graph neural network
(2)
data augmentation
(1)
relation extraction
(1)
incremental learning
(1)
image reconstruction
(1)
multiscale modeling
(1)
discriminant analysis
(1)
graph embedding
(1)
novelty detection
(1)
closed-form solution
(1)
knowledge graph
(1)
bias mitigation
(1)
entity alignment
(1)
encrypted dataset
(1)
infinite depth
(1)
high-order proximity
(1)
one-class classification
(1)
entity bia
(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
NIPS 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
NIPS 2021
Incremental Kernel Null Space Discriminant Analysis for Novelty Detection
CVPR 2017