| 2026 | SIGIR | Reformulating Post-Training as Matrix Factorization for Joint Embedding Refinement. | Yeojun Choi, Yoon-Sik Cho |
| 2026 | WSDM | ARROW: Adaptive Reasoning for LLM-based Recommendation with Explainability. | Woo-Seong Yun, Min-Seong Kim, Yoon-Sik Cho |
| 2025 | AAAI | Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition. | Yujin Kang, Yoon-Sik Cho |
| 2025 | CCS | Can Personal Health Information Be Secured in LLM? Privacy Attack and Defense in the Medical Domain. | Yujin Kang, Eunsun Kim, Yoon-Sik Cho |
| 2025 | EMNLP | GRIT: Guided Relational Integration for Efficient Multi-Table Understanding. | Yujin Kang, Park Seong Woo, Yoon-Sik Cho |
| 2025 | RecSys | Rethinking Overconfidence in VAEs: Can Label Smoothing Help? | Woo-Seong Yun, Yeojun Choi, Yoon-Sik Cho |
| 2025 | WWW | Leveraging Refined Negative Feedback with LLM for Recommender Systems. | Chanwoo Jeong, Yujin Kang, Yoon-Sik Cho |
| 2024 | EACL | Improving Contrastive Learning in Emotion Recognition in Conversation via Data Augmentation and Decoupled Neutral Emotion. | Yujin Kang, Yoon-Sik Cho |
| 2024 | WWW | Decoupled Variational Graph Autoencoder for Link Prediction. | Yoon-Sik Cho |
| 2023 | DASFAA | Video Retrieval with Tree-Based Video Segmentation. | Seong-Min Kang, Dongin Jung, Yoon-Sik Cho |
| 2023 | SIGIR | MEME: Multi-Encoder Multi-Expert Framework with Data Augmentation for Video Retrieval. | Seong-Min Kang, Yoon-Sik Cho |
| 2022 | WWW | Stochastic-Expert Variational Autoencoder for Collaborative Filtering. | Yoon-Sik Cho, Min-hwan Oh |
| 2016 | WWW | Latent Space Model for Multi-Modal Social Data. | Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara, Aram Galstyan |
| 2014 | AAAI | Where and Why Users "Check In". | Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan |
| 2011 | AAAI | Co-Evolution of Selection and Influence in Social Networks. | Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan |