CLICK: Contrastive Learning for Injecting Contextual Knowledge to Conversational Recommender System. - Hyeongjun Yang; Heesoo Won; Youbin Ahn; Kyong-Ho Lee (EACL, 2023)

Confident Action Decision via Hierarchical Policy Learning for Conversational Recommendation. - Heeseon Kim; Hyeongjun Yang; Kyong-Ho Lee (WWW, 2023)

Cross-modal contrastive learning for aspect-based recommendation. - Heesoo Won; Byungkook Oh; Hyeongjun Yang; Kyong-Ho Lee (Inf. Fusion, 2023)

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)

Bottom-up propagation of hierarchical dependency for multi-behavior recommendation. - Taeyoung Kim; Hyeongjun Yang; Gayeon Park; Seungmi Lee; Kyong-Ho Lee (Eng. Appl. Artif. Intell., 2024)

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 (Knowl. Based Syst., 2024)

Active Learning Framework for Improving Knowledge Graph Accuracy. - Donghyun Kim; Hyeongjun Yang; Seokju Hwang; Kyuhwan Yeom; Midan Shim; Kyong-Ho Lee (IEEE Access, 2025)

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 (Inf. Sci., 2025)

CoreSense: Social Commonsense Knowledge-Aware Context Refinement for Conversational Recommender System. - Hyeongjun Yang; Donghyun Kim; Gayeon Park; Kyuhwan Yeom; Kyong-Ho Lee (IEEE Trans. Knowl. Data Eng., 2025)