Junhyeok Kang
Scholar

Junhyeok Kang

Google Scholar ID: 3p_jfd0AAAAJ
LG AI Research
Time Series ForecastingAI
Citations & Impact
All-time
Citations
101
 
H-index
4
 
i10-index
2
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
  • - Mitigating Source Label Dependency in Time-Series Domain Adaptation under Label Shifts
  • - RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
  • - Large Language Models are Zero-Shot Point-of-Interest Recommenders
  • - Multi-View POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases
  • - Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea
  • - Robust Sequential Variational Autoencoder for Multivariate Time Series Anomaly Detection
  • Under Review / On-going:
  • - Universal Time-Series Representation Learning: A Survey
  • - Channel-wise Retrieval for Multivariate Time Series Forecasting
  • - Tensor Product Representation for Multivariate Time Series Forecasting
  • - Boosting LLM Few-Shot Recommendation Ranking via LLM-Based Candidate Generation
Research Experience
  • AI Scientist, LG AI Research, Full-time, Nov. 2024 – Present, Research on explainable time-series analysis with RAG
  • PhD Intern, LG AI Research, Internship, Aug. 2024 – Nov. 2024, Research on time-series forecasting
  • Graduate Student Researcher, KAIST, Full-time, Feb. 2018 – Aug. 2024, Research on time-series analysis and large-language models, Lab representative (Apr 2022 - Jun 2024)
  • AI Instructor, Elice, Freelance, Jul. 2019 – Sep. 2023, Delivered 250+ hours of AI instruction at Samsung Electronics, including executive training
  • AI Researcher, Korea Telecom (KT), Contract, May. 2020 – Sep. 2020, Developed a predictive model for the self-diagnosis of infectious diseases using cellular trajectories
Education
  • Ph.D., School of Computing @ KAIST, Mar. 2020 – Aug. 2024, Advisor: Jae-Gil Lee
  • M.S., Graduate School of Data Science @ KAIST, Mar. 2018 – Feb. 2020, Advisor: Jae-Gil Lee
  • B.S., School of Global Entrepreneurship and ICT @ Handong Global University, Feb. 2012 – Feb. 2018, Majors: ICT Convergence and Management, Graduated Summa Cum Laude
Background
  • Research Interests: Time-series analysis, large language models
  • Fields: Artificial Intelligence, Data Mining
  • Brief Introduction: Currently an AI Scientist at LG AI Research, Ph.D. from the School of Computing at KAIST.
Miscellany
  • Personal interests and hobbies not mentioned