HyunGi Kim

5 papers · 2023–2026 · 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16)

Venues

AAAI (2) NeurIPS (2) ICML (1)

Top co-authors

Sungroh Yoon (5) Jisoo Mok (3) Bong Gyun Kang (2) Dongjun Lee (2) Jaihyun Lew (1) Dahuin Jung (1) DoHyun Chung (1) Sungjae Kim (1) HyunGyu Lee (1) Siwon Kim (1)

Research topics

Machine Learning (5) Deep Learning (4) Artificial Intelligence (3) Core AI (3) Core Methods (3) Learning Types · Machine Learning (3) Application Areas (2) Architectures (2) Learning Paradigms (2) Data Science & Analytics (1) Learning Types · Deep Learning (1) Methods (1) Techniques (1)

Keywords

distribution shift (2) multivariate time series (2) anomaly detection (2) test-time adaptation (2) time series forecasting (2) latent space (1) sequence model (1) formal language (1) non-stationary data (1) long-range dependency (1) temporal correlation (1) spectral attention (1) backward transfer (1) chomsky hierarchy (1) false positive mining (1) causality (1) contrastive learning (1) encoder (1) continual learning (1) catastrophic forgetting (1)

Papers

CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift AAAI 2026 Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation AAAI 2025 Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection ICML 2025 Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting NeurIPS 2024 CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence NeurIPS 2023