| 2025 | AAAI | DCC: Differentiable Cardinality Constraints for Partial Index Tracking. | Wooyeon Jo, Hyunsouk Cho |
| 2025 | CIKM | Rethinking the Training Paradigm of Discrete Token-Based Multimodal LLMs: An Analysis of Text-Centric Bias. | Wansik Jo, Jooyeong Na, Soyeon Hong, Seungtaek Choi, Hyunsouk Cho |
| 2025 | CIKM | Towards Fully-Automated Materials Discovery via Large-Scale Synthesis Dataset and Expert-Level LLM-as-a-Judge. | Heegyu Kim, Taeyang Jeon, Seungtaek Choi, Jihoon Hong, Dongwon Jeon, Ga-Yeon Baek, Gyeong-Won Kwak, Dong-Hee Lee, Jisu Bae, Chihoon Lee, Yoon-Seo Kim, Seon-Jin Choi, Jin Seong Park, Sung Beom Cho, Hyunsouk Cho |
| 2025 | NAACL | FLEX: Expert-level False-Less EXecution Metric for Text-to-SQL Benchmark. | Heegyu Kim, Taeyang Jeon, Seunghwan Choi, Seungtaek Choi, Hyunsouk Cho |
| 2024 | ACL | Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation. | Dongjin Kang, Sunghwan Kim, Taeyoon Kwon, Seungjun Moon, Hyunsouk Cho, Youngjae Yu, Dongha Lee, Jinyoung Yeo |
| 2024 | SIGIR | Multi-intent-aware Session-based Recommendation. | Minjin Choi, Hye-young Kim, Hyunsouk Cho, Jongwuk Lee |
| 2023 | EMNLP | GTA: Gated Toxicity Avoidance for LM Performance Preservation. | Heegyu Kim, Hyunsouk Cho |
| 2022 | AAAI | FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation. | Jongwon Jeong, Jeong Choi, Hyunsouk Cho, Sehee Chung |
| 2021 | ACL | Self-Supervised Multimodal Opinion Summarization. | Jinbae Im, Moonki Kim, Hoyeop Lee, Hyunsouk Cho, Sehee Chung |
| 2021 | BMVC | One-Step Pixel-Level Perturbation-Based Saliency Detector. | Vinnam Kim, Hyunsouk Cho, Sehee Chung |
| 2020 | ICDM | CITIES: Contextual Inference of Tail-item Embeddings for Sequential Recommendation. | Seongwon Jang, Hoyeop Lee, Hyunsouk Cho, Sehee Chung |
| 2020 | LREC | SQuAD2-CR: Semi-supervised Annotation for Cause and Rationales for Unanswerability in SQuAD 2.0. | Gyeongbok Lee, Seung-won Hwang, Hyunsouk Cho |
| 2019 | KDD | MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation. | Hoyeop Lee, Jinbae Im, Seongwon Jang, Hyunsouk Cho, Sehee Chung |
| 2018 | AAAI | Machine-Translated Knowledge Transfer for Commonsense Causal Reasoning. | Jinyoung Yeo, Gengyu Wang, Hyunsouk Cho, Seungtaek Choi, Seung-won Hwang |
| 2018 | LREC | Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal Reasoning. | Jinyoung Yeo, Gyeongbok Lee, Gengyu Wang, Seungtaek Choi, Hyunsouk Cho, Reinald Kim Amplayo, Seung-won Hwang |
| 2018 | SIGMOD | PREFER: PREdiction Model for Financial Entity Relation. | Hoyeop Lee, Jongseon Park, Hyungjun Kim, Hyunsouk Cho, Geonsoo Kim |
| 2017 | PAKDD | Gradable Adjective Embedding for Commonsense Knowledge. | Kyungjae Lee, Hyunsouk Cho, Seung-won Hwang |
| 2017 | SIGMOD | Understanding Relations using Concepts and Semantics. | Jouyon Park, Hyunsouk Cho, Seung-won Hwang |
| 2016 | ICDM | Event Grounding from Multimodal Social Network Fusion. | Hyunsouk Cho, Jinyoung Yeo, Seung-won Hwang |
| 2014 | DASFAA | Skill Ontology-Based Model for Quality Assurance in Crowdsourcing. | Kinda El Maarry, Wolf-Tilo Balke, Hyunsouk Cho, Seung-won Hwang, Yukino Baba |
| 2012 | ICDE | Efficient Dual-Resolution Layer Indexing for Top-k Queries. | Jongwuk Lee, Hyunsouk Cho, Seung-won Hwang |