Kijung Shin
23 papers · 2017–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (56) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Triple Crown
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Grand Slam
🔬
Deep Specialist
(11)
⚡
Prolific Year · Productive
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Unstoppable · Bronze
💎
Century Club · Bronze
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Renaissance Researcher
(7)
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Keyword Collector
(119)
Top co-authors
Research topics
Machine Learning
(19)
Deep Learning
(15)
Architectures
(11)
Core Methods
(11)
Learning Types · Machine Learning
(8)
Artificial Intelligence
(7)
Data Science & Analytics
(5)
Mathematics & Optimization
(5)
Optimization & Theory
(5)
Application Areas
(4)
Applications
(4)
Core AI
(4)
Knowledge & Reasoning
(3)
Learning Paradigms
(3)
Learning Types · Deep Learning
(3)
Keywords
node classification
(5)
graph neural network
(5)
representation learning
(4)
anomaly detection
(4)
attention mechanism
(2)
graph representation
(2)
graph mining
(2)
graph convolution
(2)
link prediction
(2)
large language model
(2)
message passing
(2)
recommender system
(2)
in-context learning
(1)
knowledge distillation
(1)
probabilistic modeling
(1)
self-supervised learning
(1)
online learning
(1)
contrastive learning
(1)
graph anomaly detection
(1)
low-rank decomposition
(1)
Papers
Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
AAAI 2026
Pre-Deployment Advertisement Ranking under Data Scarcity via Context-Aware Criteria Generation with VLMs
ACL 2026
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
AAAI 2025
‘Hello, World!’: Making GNNs Talk with LLMs
EMNLP 2025
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
ICML 2025
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
AAAI 2025
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
ICML 2024
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
CVPR 2024
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
ICLR 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
NeurIPS 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
ICML 2024
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
AAAI 2024
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
ICML 2024
VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation
AAAI 2024
I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs
AAAI 2023
Robust and Efficient Alignment of Calcium Imaging Data Through Simultaneous Low Rank and Sparse Decomposition
WACV 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
ICML 2023
HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams
IJCAI 2022
Meta-Learning for Online Update of Recommender Systems
AAAI 2022
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
AAAI 2021
Midas: Microcluster-Based Detector of Anomalies in Edge Streams
AAAI 2020
TellTail: Fast Scoring and Detection of Dense Subgraphs
AAAI 2020
Why You Should Charge Your Friends for Borrowing Your Stuff
IJCAI 2017