Research Interests
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Applications
Conversational Recommendation / Knowledge-enhanced Recommendation / Knowledge-grounded Response Generation
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Approaches
MultiModal Knowledge Augmentation / Data-efficient Learning / Knowledge Distillation / LLM Distillation / Coreset Selection / PEFT / RAG
Publications
( ★ denotes first-authored publications )
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[13] Relation-aware Preference Optimization for Knowledge Graph Question Answering
Kaehyun Um, Kyuhwan Yeom, Haerim Yang, Minyoung Choi, Hyeongjun Yang, Kyong-Ho Lee
Under Review.
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[12] Retrieval-Augmented Knowledge Graph Validation with Large Language Model Reasoning
Donghyun Kim, Hyeongjun Yang, Chanhee Lee, Seokju Hwang, Kyong-Ho Lee
Under Review.
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[11] Data-efficient Adaptation to Contextual Shift in LLM-based Conversational Recommender Systems
Hyeongjun Yang★, Kyong-Ho Lee
Under Review.
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[10] Reliable Distillation from LLMs for Conversational Recommendation
Hyeongjun Yang★, Donghyun Kim, KyuHwan Yeom, Kyong-Ho Lee
Under Review.
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[9] Active Learning Framework for Improving Knowledge Graph Accuracy
Donghyun Kim, Hyeongjun Yang, Seokju Hwang, Kyuhwan Yeom, Midan Shim, and Kyong-Ho Lee
IEEE Access 2025.
[LINK]
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[8] CoreSense: Social Commonsense Knowledge-Aware Context Refinement for Conversational Recommender System
Hyeongjun Yang★, Donghyun Kim, Gayeon Park, Kyuhwan Yeom, and Kyong-Ho Lee
IEEE Transactions on Knowledge and Data Engineering 2025.
[LINK]
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[7] Knowledge-constrained Interest-aware Multi-Behavior Recommendation with Behavior Pattern Identification
Gayeon Park, Hyeongjun Yang, KyuHwan Yeom, Myeongheon Jeon, Yunjeong Ko, Byungkook Oh, Kyong-Ho Lee
Information Sciences 2025
[LINK]
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[6] Granular Intents Learning via Mutual Information Maximization for Knowledge-aware Recommendation
Hyeongjun Yang★, Yerim Lee, Gayeon Park, TaeYoung Kim, Heesun Kim, Kyong-Ho Lee, Byungkook Oh
Knowledge-based Systems 2024
[LINK]
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[5] Bottom-up propagation of hierarchical dependency for multi-behavior recommendation
{TaeYoung Kim, Hyeongjun Yang★}, Gayeon Park, Seungmi Lee, Kyong-Ho Lee
Engineering Applications of Artificial Intelligence 2024
[LINK]
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[4] Embedding Two-View Knowledge Graphs with Class Inheritance and Structural Similarity
Kyuhwan Yeom, Hyeongjun Yang, Gayeon Park, Myeongheon Jeon, Yunjeong Ko, Byungkook Oh, Kyong-Ho Lee
KDD 2024 [LINK]
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[3] Cross-Modal Contrastive Learning for Aspect-based Recommendation
Heesoo Won, Byungkook Oh, Hyeongjun Yang, and Kyong-Ho Lee
Information Fusion 2023 [LINK]
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[2] Confident Action Decision via Hierarchical Policy Learning for Conversational Recommendation
Heeseon Kim, Hyeongjun Yang, and Kyong-Ho Lee
WWW 2023 [LINK]
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[1] CLICK: Contrastive Learning for Injecting Contextual Knowledge to Conversational Recommender System
Hyeongjun Yang★, Heesoo Won, Youbin Ahn, Kyong-Ho Lee
EACL 2023 [LINK]
Patents
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[4] Method and Apparatus for Contextual-Conditioned Conversational Recommendation Learning via Large Language Model Distillation
초대형 언어 모델 증류를 통한 맥락적 조건 기반 대화형 추천 학습 및 장치
Kyong-Ho Lee, Hyeongjun Yang
KR Patent Pending. Apr 2025. (No. 10-2025-0049613)
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[3] Method and Apparatus for Conversational Recommendation Based on a Commonsense Knowledge Graph to Understand User Intent
사용자 의도를 파악하는 상식 그래프 기반 대화형 추천 방법 및 장치
Kyong-Ho Lee, Hyeongjun Yang
KR Patent Pending. Apr 2025. (No. 10-2025-0056321)
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[2] Method and Apparatus for Hierarchical Policy-Based Conversational Recommendation
계층적 정책 기반의 대화형 추천 모델을 통해 추천을 제공하는 대화형 추천 제공 방법 및 장치
Kyong-Ho Lee, Heesun Kim, and Hyeongjun Yang
KR Patent Pending. Mar 2023. (No. 10-2023-0038874)
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[1] Contextual Knowledge Injection Based on Contrastive Learning for Conversational Recommendation Models.
대조 학습 기반의 문맥적 지식 주입을 통한 대화형 추천 모델 학습 방법 및 장치
Kyong-Ho Lee, Hyeongjun Yang
KR Patent Pending. Mar 2023. (No. 10-2023-0038873)
