MS+Ph.D. Student Data Mining Lab, KAIST AI

Kyungho Kim

김경호 · AI Researcher, Recommender Systems & Large Language Models

I am an MS+Ph.D. student at KAIST AI advised by Prof. Kijung Shin, focusing on recommender systems, relational database learning, and Large Language Models.

Recommender System
LLM Agent
Relational Database Learning
Marketing AI

View Publications →

Email: kkyungho@kaist.ac.kr · Seoul, Republic of Korea ·

Research

Research Interests

Recommender systems, relational databases, and LLM agents.

My research lies at the intersection of recommender systems, relational database learning, and large language models applications.

Recommender Systems: Multi-behavior recommendation, LLM-based Recommendation.
LLM Agents: Building LLM Agent on various tasks.
Relational Database Learning.
Marketing AI: Data-driven ad ranking for practical marketing and advertising scenarios.

Publications

Selected Publications

Published & Accepted

[C9] ReFuGe: Feature Generation for Prediction Tasks on Relational Databases with LLM Agents

Kyungho Kim, Geon Lee, Juyeon Kim, Dongwon Choi, Shinhwan Kang, and Kijung Shin

ACM WWW 2026 (Short Paper) LLM Agent, Relational Database
[J2] A Comprehensive Survey on Multi-Behavior Recommender Systems: Extended Taxonomy and Recent Advances

Kyungho Kim, Sunwoo Kim, Geon Lee, Jinhong Jung, and Kijung Shin

JDSA (International Journal of Data Science and Analytics) (By Invitation) Multi-behavior Recommendation
[C8] Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption

Sunwoo Kim, Sooyong Lee, Kyungho Kim, Hyunjin Hwang, Jaemin Yoo, and Kijung Shin

AAAI 2025 Graph Representation Learning
[C7] RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases

Dongwon Choi, Sunwoo Kim, Juyeon Kim, Kyungho Kim, Geon Lee, Shinwhan Kang, Myungwhan Kim, and Kijung Shin

NeurIPS 2025 (Dataset & Benchmark) RDB Benchmark
[C6] A Self-supervised Mixture of Experts for Multi-behavior Recommendation

Kyungho Kim, Sunwoo Kim, Geon Lee, and Kijung Shin

ACM CIKM 2025 Multi-behavior Recommendation
[J1] Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation (Extended Version)

Geon Lee, Kyungho Kim, Fanchen Bu, Langzhang Liang, and Kijung Shin

ACM TORS (Invitation) Graph Collaborative Filtering
[C5] Multi-Behavior Recommender Systems: A Survey

Kyungho Kim, Sunwoo Kim, Geon Lee, Jinhong Jung, and Kijung Shin

PAKDD 2025 Multi-behavior Recommendation Best Survey Paper Award
[C4] Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy

Sunwoo Kim, Sooyong Lee, Fanchen Bu, Shinwhan Kang, Kyungho Kim, Jaemin Yoo, and Kijung Shin

NeurIPS 2024 Graph Anomaly Detection
[C3] Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation

Geon Lee, Kyungho Kim, and Kijung Shin

ACM RecSys 2024 (Short) Graph Collaborative Filtering Best Short Paper Candidate (Top 7)
[C2] Post-Training Embedding Enhancement for Long-Tail Recommendation

Geon Lee, Kyungho Kim, and Kijung Shin

ACM CIKM 2024 (Short) Long-tail Recommendation
[C1] Towards Better Utilization of Multiple Views for Bundle Recommendation

Kyungho Kim, Sunwoo Kim, Geon Lee, and Kijung Shin

ACM CIKM 2024 (Short) Bundle Recommendation

Background

Experience & Education

Research Experience

MS+Ph.D Student, Data Mining Lab

KAIST AI · Advisor: Prof. Kijung Shin

Recommender Systems, Large Language Model Applications, Relational Database Learning

2024 — Present

Undergraduate Student Researcher

KAIST AI · Data Mining Lab

2023 Jun — 2024 Jul

Undergraduate Student Researcher

Yonsei University · Data Intelligence Lab (Advisor: Prof. Dongha Lee)

2023 Mar — 2023 May

Undergraduate Student Researcher

Korea University · DSBA Lab (Advisor: Prof. Pilsung Kang)

2022 Jun — 2022 Dec

Education

M.S. + Ph.D. in Artificial Intelligence

KAIST, School of AI

2024 Aug — Present

B.S. in Industrial & Management Engineering (Graduate with Great Honor)

Korea University

2020 Mar — 2024 Aug

Recognition

Awards & Honors

PAKDD 2025 Best Survey Paper Award 2025
Graduated with Great Honor, Korea University 2024
Academic Perfect Award (Dean’s Award), Korea University 2023 Spring
Academic Excellence Award, Korea University 2021, 2022
Full Scholarship for Academic Excellence, Korea University 2021–2023
Korea University Leader Scholarship, Korea University 2021

Service

Academic Service

ACM CIKM — Session Chair 2025
ACM WWW — Reviewer 2025
ACM TKDD — Reviewer 2026

Leadership

Leadership & Activities

Student leadership and service roles.

President, Industrial & Management Engineering Student Council (Korea University) 2020 Oct — 2021 Dec
Student Body President, Boin High School 2017 Sep — 2018 Aug

Get in Touch

Contact

📧 Email: kkyungho@kaist.ac.kr
📍 Seoul, Republic of Korea