Juhyun Lyu — accepted AI-conference papers

2026

OrcheCause Agent: From Textual Knowledge to End-to-End Causal Inference

Jinseok Yang, Jung-Hee Kim, Juhyun Lyu, Soonyoung Lee, Woohyung Lim

AAAI 2026technical

Causal agents have emerged as promising tools for automating causal analysis based on user queries. However, existing causal agent systems are often limited to a single causal task, limiting their ability to handle complex queries. In addition, they accept only numerical data as input, preventing th

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2023

Multi-Resolution Sequence Aggregation and Model-Agnostic Framework for Time-Series Forecasting

Juhyun Lyu, Jinseok Yang, Junghee Kim, Woohyung Lim, Wonbin Ahn, Dongwan Kang +2

ICASSP 2023accepted

In time-series forecasting, signals such as traffic volume collected in the real world are noisy and irregularly sampled due to sensor malfunctions, so it is difficult to make accurate prediction. To resolve such difficulty, downsampling can be used to reduce noise and allow capturing slow trend of…

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