DONGMIN KIM
5 papers · 2022–2026 · 3 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(14)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Learning Types · Machine Learning
(4)
Core Methods
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Analysis
(1)
Application Areas
(1)
Core AI
(1)
Learning Paradigms
(1)
Optimization & Theory
(1)
Keywords
self-supervised learning
(2)
anomaly detection
(2)
representation learning
(1)
model selection
(1)
matrix factorization
(1)
hyperparameter optimization
(1)
data augmentation
(1)
semantic parsing
(1)
test-time adaptation
(1)
deep learning
(1)
synthetic data generation
(1)
time series forecasting
(1)
distribution shift
(1)
decision tree
(1)
tabular data
(1)
error bound
(1)
deep network
(1)
expert feedback
(1)
truncated svd
(1)
large language model
(1)
Papers
AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection
AAAI 2026
AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection
EACL 2026
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data
AAAI 2025
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection
AAAI 2024
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
NeurIPS 2022