Conferences
[C16] Towards Fully-Automated Materials Discovery via Large-Scale Synthesis Dataset and Expert-Level LLM-as-a-Judge, CIKM, 2025
Heegyu Kim, Taeyang Jeon, Seungtaek Choi, Ji Hoon Hong, Dong Won Jeon, Ga-Yeon Baek, Gyeong-Won Kwak, Dong-Hee Lee, Jisu Bae, Chihoon Lee, Yunseo Kim, Seon-Jin Choi, Jin-Seong Park, Sung Beom Cho, Hyunsouk Cho
[C15] Rethinking the Training Paradigm of Discrete Token-Based Multimodal LLMs: An Analysis of Text-Centric Bias, CIKM, 2025
{Wansik Jo, Jooyeong Na}, Soyeon Hong, Seungtaek Choi, Hyunsouk Cho
[C14] FLEX: Expert-level False-Less EXecution Metric for Reliable Text-to-SQL Benchmark, NAACL, 2025
Heegyu Kim, Taeyang Jeon, Seunghwan Choi, Seungtaek Choi, Hyunsouk Cho
[C13] DCC: Differentiable Cardinality Constraints for Partial Index Tracking, AAAI, 2025
Wooyeon Jo, Hyunsouk Cho
[C12] OmniStitch: Depth-Aware Stitching Framework for Omnidirectional Vision with Multiple Cameras, ACM MM, 2024
{Soo-ho Kim, Soyeon Hong}, Kyungsoo Park, Hyunsouk Cho, Kyung-Ah Sohn
[C11] Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation, ACL (Outstanding paper), 2024
{Dongjin Kang, Sunghwan Kim}, Taeyoon Kwon, Seungjun Moon, Hyunsouk Cho, Youngjae Yu, Dongha Lee, Jinyoung Yeo
[C10] GTA: Gated Toxicity Avoidance for LM Performance Preservation, Findings of EMNLP, 2023
Heegyu Kim, Hyunsouk Cho
[C9] FPAdaMetric: False-positive-aware Adaptive Metric Learning for Session-based Recommendation, AAAI, 2022
Jongwon Jeong, Jeong Choi, Hyunsouk Cho, Sehee Chung
[C8] Self-Supervised Multimodal Opinion Summarization, ACL, 2021
Jinbae Im, Moonki Kim, Hoyoep Lee, Hyunsouk Cho, Sehee Chung
[C7] CITIES: Contextual Inference of Tail-item Embeddings for Sequential Recommendation, ICDM, 2020
Seongwon Jang, Hoyeop Lee, Hyunsouk Cho, Sehee Chung
[C6] MeLU: Meta-Learned User Preference Estimator for Cold-start Recommendation, KDD, 2019
Hoyeop Lee, Jinbae Im, Seongwon Jang, Hyunsouk Cho, Sehee Chung
[C5] Machine-Translated Knowledge Transfer for Commonsense Causal Reasoning, AAAI, 2018
Jinyoung Yeo, Gengyu Wang, Hyunsouk Cho, Seungtaek Choi, Seung-won Hwang
[C4] Gradable Adjective Embedding for Commonsense Knowledge, PAKDD, 2017
Kyungjae Lee, Hyunsouk Cho, Seung-won Hwang
[C3] Event Grounding from Multimodal Social Network Fusion, ICDM, 2016
{Hyunsouk Cho, Jingyoung Yeo}, Seung-won Hwang
[C2] Hybrid Entity Clustering using crowds and data, VLDB, 2013
Jongwuk Lee, Hyunsouk Cho, Jinwoo Park, Youngrok Cha, Seung-won Hwang, Z Nie, JR Wen
[C1] Efficient Dual-Resolution Layer Indexing for Top-k Queries, ICDE, 2012
Jongwuk Lee, Hyunsouk Cho, Seung-won Hwang
Journals
[J5] Data Augmentation for Improving Convergence Speed in Federated Sequential Recommendation System, IEEE Access, 2025
Donghoon Lee, Hyunsouk Cho
[J4] Exploring the Side-information Fusion for Sequential Recommendation, IEEE Access, 2025
Seunghwan Choi, Donghoon Lee, Hyeoungguk Kang, Hyunsouk Cho
[J3] Cross-Modal Dynamic Transfer Learning for Multimodal Emotion Recognition, IEEE Access, 2024
Soyeon Hong, HyeoungGuk Kang, Hyunsouk Cho
[J2] Multimodal KB Harvesting for Emerging Spatial Entities, TKDE, 2017
Jinyoung Yeo, Hyunsouk Cho, Jinwoo Park, Seung-won Hwang
[J1] Toward Scalable Indexing for Top-k Queries, TKDE, 2013
Jongwuk Lee, Hyunsouk Cho, Sunyou Lee, Seung-won Hwang
Miscellaneous
Multi-intent-aware Session-based Recommendation, SIGIR (Short), 2024
Minjin Choi, Hye-young Kim, Hyunsouk Cho, Jongwuk Lee
Outlier-aware Cross-Market Product Recommendation, BigComp (Short), 2023
HyeoungGuk Kang, Donghoon Lee, Hyunsouk Cho
DeMuSA: Demo for Multimodal Sentiment Analysis, ICME (Demo), 2022
Soyeon Hong, Jeonghoon Kim, Donghoon Lee, Hyunsouk Cho
Towards Proper Contrastive Self-supervised Learning Strategies for Music Audio Representation, ICME, 2022
Jeong Choi, Seongwon Jang, Hyunsouk Cho, Sehee Chung
One-Step Pixel-Level Perturbation-Based Saliency Detector, BMVC, 2021
Vinnam Kim, Hyunsouk Cho, Sehee Chung
SQuAD2-CR: Semi-supervised Annotation for Cause and Rationales for Unanswerability in SQuAD 2.0, LREC, 2020
Gyeongbok Lee, Seung-won Hwang, Hyunsouk Cho
PREFER: PREdiction Model for Financial Entity Relation, FEIII Workshop, 2018
Hoyeop Lee, Jongseon Park, Hyungjun Kim, Hyunsouk Cho, Geonsoo Kim
Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal Reasoning, LREC, 2018
Jinyoung Yeo, Geongbok Lee, Gengyu Wang, Seungtaek Choi, Hyunsouk Cho, Reinald Kim Amplayo, Seung-won Hwang
Understanding Relations using Concepts and Semantics, FEIII Workshop, 2017
Jouyon Park, Hyunsouk Cho, Seung-won Hwang
ECO: Entity-level Captioning in Context, ASONAM, 2016
Hyunsouk Cho, Seung-won Hwang
Skill Ontology-based Model for Quality Assurance in Crowdsourcing, DASFAA Workshop, 2014
Kinda El Maarry, Wolf-Tilo Balke, Hyunsouk Cho, Seung-won Hwang, Yukino Baba