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Author

Hyeongwon Kang

Observed name: Kang, Hyeongwon
Institution: Korea University
ORCID: 0000-0002-8710-8844
Observed ORCID: 0000-0002-8710-8844
OpenAlex ID: A5055913311
Time-series anomaly detection with stacked Transformer representations and 1D convolutional network
2023 · Jina Kim, Hyeongwon Kang, et al. · Engineering Applications of Artificial Intelligence · 194
Transformer-based multivariate time series anomaly detection using inter-variable attention mechanism
2024 · Hyeongwon Kang, Pilsung Kang · Knowledge-Based Systems · 174
Training-free retrieval-based log anomaly detection with pre-trained language model considering token-level information
2024 · Gunho No, Yukyung Lee, et al. · Engineering Applications of Artificial Intelligence · 19
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Granularity Fusion Transformer: Learning multi-granularity patterns for time-series forecasting
2025 · Jinwoo Park, Hyeongwon Kang, et al. · Knowledge-Based Systems · 8
Deep Reinforcement Learning-Based Scheduler on Parallel Dedicated Machine Scheduling Problem towards Minimizing Total Tardiness
2023 · Donghun Lee, Hyeongwon Kang, et al. · Sustainability · 6
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Deep Learning-Based Multi-Horizon Forecasting for Automated Material Handling System Throughput in Semiconductor Fab
2022 · Jungwoo Choi, Hyeongwon Kang, et al. · IEEE Transactions on Semiconductor Manufacturing · 6
69‐1: 43 Inch UHD Digital Kiosk System Using Advanced In‐cell Touch Technology
2018 · Jaehun Jun, Yongwoo Choi, et al. · SID Symposium Digest of Technical Papers · 1
Not All Variables Agree: Reliability-Aware Variable-Wise Gradient Surgery for Multivariate Time-Series Forecasting
2026 · Park, Jinwoo, Kang, Hyeongwon, et al. · arXiv (Cornell University)
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Detecting the Undetectable: Enhancing Unsupervised time series Anomaly Detection via Active Learning
2026 · Han, Seung Hun, Kang, Hyeongwon, et al. · arXiv (Cornell University)
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Detecting Time Series Anomalies Like an Expert: A Multi-Agent LLM Framework with Specialized Analyzers
2026 · Kang, Hyeongwon, Kim, Jeongseob, et al. · arXiv (Cornell University)
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Forecasting Anomaly Precursors via Uncertainty-Aware Time-Series Ensembles
2026 · Kang, Hyeongwon, Park, Jinwoo, et al. · arXiv (Cornell University)
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COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly Detection
2026 · Park, Jinwoo, Kang, Hyeongwon, et al. · arXiv (Cornell University)
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Building an Integrated Framework of Korean Text Summarization and Text-to-Speech
2022 · Takyoung Kim, Jina Kim, et al. · Journal of Korean Institute of Industrial Engineers
Works count: 13
Citation count: 408
H-index: 6
I10-index: 3
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