Junhyeok Kang

According to our database, Junhyeok Kang authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Channel-wise Retrieval for Multivariate Time Series Forecasting.

Junhyeok Kang, Jun Seo, Soyeon Park, Sangjun Han, Seohui Bae, Hyeokjun Choe, Soonyoung Lee

CoRR, April, 2026

2025

Adaptive Information Routing for Multimodal Time Series Forecasting.

Jun Seo, Hyeokjun Choe, Seohui Bae, Soyeon Park, Wonbin Ahn, Taeyoon Lim, Junhyeok Kang, Sangjun Han, Jaehoon Lee, Dongwan Kang, Minjae Kim, Sungdong Yoo, Soonyoung Lee

CoRR, December, 2025

Large language models are zero-shot point-of-interest recommenders.

Joeun Kim, Youngjin Seo, Yeonsoo Kim, Junhyeok Kang, Jeeho Shin, Patara Trirat, Jae-Gil Lee

Data Min. Knowl. Discov., November, 2025

Mitigating Source Label Dependency in Time-Series Domain Adaptation under Label Shifts.

Jihye Na, Youngeun Nam, Junhyeok Kang, Jae-Gil Lee

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models.

Youngjun Lee, Doyoung Kim, Junhyeok Kang, Jihwan Bang, Hwanjun Song, Jae-Gil Lee

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting.

Junhyeok Kang, Yooju Shin, Jae-Gil Lee

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Universal Time-Series Representation Learning: A Survey.

Patara Trirat, Yooju Shin, Junhyeok Kang, Youngeun Nam, Jihye Na, Minyoung Bae, Joeun Kim, Byunghyun Kim, Jae-Gil Lee

CoRR, 2024

2022

Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases.

Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee

Proceedings of the IEEE International Conference on Data Mining, 2022

2020

Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea.

Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020