GeoVideoIndex: Indexing for georeferenced videos. - Dongha Lee 003; Jinoh Oh; Woong-Kee Loh; Hwanjo Yu (Inf. Sci., 2016)

Disk-based Matrix Completion for Memory Limited Devices. - Dongha Lee 003; Jinoh Oh; Christos Faloutsos; Byungju Kim; Hwanjo Yu (CIKM, 2018)

Fast Tucker Factorization for Large-Scale Tensor Completion. - Dongha Lee 003; Jaehyung Lee 002; Hwanjo Yu (ICDM, 2018)

DualSentiNet: Dual Prediction of Word and Document Sentiments Using Shared Word Embedding. - Dongha Lee 003; Hyunjun Ju; Hwanjo Yu; Jung-Mi Park; Kye-Yoon Kim (IMCOM, 2018)

Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. - SeongKu Kang; Junyoung Hwang; Dongha Lee 003; Hwanjo Yu (CIKM, 2019)

Action Space Learning for Heterogeneous User Behavior Prediction. - Dongha Lee 003; Chanyoung Park 001; Hyunjun Ju; Junyoung Hwang; Hwanjo Yu (IJCAI, 2019)

Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection. - Sehun Yu; Dongha Lee 003; Hwanjo Yu (IJCAI, 2020)

Multi-Class Data Description for Out-of-distribution Detection. - Dongha Lee 003; Sehun Yu; Hwanjo Yu (KDD, 2020)

PUMAD: PU Metric learning for anomaly detection. - Hyunjun Ju; Dongha Lee 003; Junyoung Hwang; Junghyun Namkung; Hwanjo Yu (Inf. Sci., 2020)

Scalable disk-based topic modeling for memory limited devices. - Byungju Kim; Dongha Lee 003; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2020)

OCam: Out-of-core coordinate descent algorithm for matrix completion. - Dongha Lee 003; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2020)

Generating sequential electronic health records using dual adversarial autoencoder. - Dongha Lee 003; Hwanjo Yu; Xiaoqian Jiang; Deevakar Rogith; Meghana Gudala; Mubeen Tejani; Qiuchen Zhang; Li Xiong 001 (J. Am. Medical Informatics Assoc., 2020)

Harmonized representation learning on dynamic EHR graphs. - Dongha Lee 003; Xiaoqian Jiang; Hwanjo Yu (J. Biomed. Informatics, 2020)

Learnable Dynamic Temporal Pooling for Time Series Classification. - Dongha Lee 003; Seonghyeon Lee; Hwanjo Yu (AAAI, 2021)

OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification. - Seonghyeon Lee; Dongha Lee 003; Hwanjo Yu (ACL/IJCNLP (1), 2021)

Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping. - Dongha Lee 003; Sehun Yu; Hyunjun Ju; Hwanjo Yu (ICCV, 2021)

Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. - Dongha Lee 003; Dongmin Hyun; Jiawei Han 001; Hwanjo Yu (ICDM, 2021)

Learnable Structural Semantic Readout for Graph Classification. - Dongha Lee 003; Su Kim; Seonghyeon Lee; Chanyoung Park 001; Hwanjo Yu (ICDM, 2021)

Bootstrapping User and Item Representations for One-Class Collaborative Filtering. - Dongha Lee 003; SeongKu Kang; Hyunjun Ju; Chanyoung Park 001; Hwanjo Yu (SIGIR, 2021)

Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification. - Seonghyeon Lee; Dongha Lee 003; Hwanjo Yu (CoRR, 2021)

Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning. - Seonghyeon Lee; Dongha Lee 003; Seongbo Jang; Hwanjo Yu (ACL (1), 2022)

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. - Dongha Lee 003; Jiaming Shen; Seonghyeon Lee; Susik Yoon; Hwanjo Yu; Jiawei Han 001 (EMNLP (Findings), 2022)

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. - Seongku Kang; Dongha Lee 003; Wonbin Kweon; Junyoung Hwang; Hwanjo Yu (WWW, 2022)

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. - Dongha Lee 003; Jiaming Shen; Seongku Kang; Susik Yoon; Jiawei Han 001; Hwanjo Yu (WWW, 2022)

Mitigating viewpoint sensitivity of self-supervised one-class classifiers. - Hyunjun Ju; Dongha Lee 003; SeongKu Kang; Hwanjo Yu (Inf. Sci., 2022)

Personalized Knowledge Distillation for Recommender System. - SeongKu Kang; Dongha Lee 003; Wonbin Kweon; Hwanjo Yu (Knowl. Based Syst., 2022)

Learning Topology-Specific Experts for Molecular Property Prediction. - Suyeon Kim; Dongha Lee 003; SeongKu Kang; Seonghyeon Lee; Hwanjo Yu (AAAI, 2023)

Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents. - Hyungjoo Chae; Yongho Song; Kai Tzu-iunn Ong; Taeyoon Kwon; Minjin Kim; Youngjae Yu; Dongha Lee 003; Dongyeop Kang; Jinyoung Yeo (EMNLP, 2023)

Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. - Susik Yoon; Dongha Lee 003; Yunyi Zhang 001; Jiawei Han 001 (SIGIR, 2023)

Distillation from Heterogeneous Models for Top-K Recommendation. - SeongKu Kang; Wonbin Kweon; Dongha Lee 003; Jianxun Lian; Xing Xie 001; Hwanjo Yu (WWW, 2023)

SCStory: Self-supervised and Continual Online Story Discovery. - Susik Yoon; Yu Meng 001; Dongha Lee 003; Jiawei Han 001 (WWW, 2023)

Learning Topology-Specific Experts for Molecular Property Prediction. - Su Kim; Dongha Lee 003; SeongKu Kang; Seonghyeon Lee; Hwanjo Yu (CoRR, 2023)

RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization. - Seonglae Cho; Yonggi Cho; HoonJae Lee; Myungha Jang; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2023)

RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation. - Jeongwhan Choi 002; Hyowon Wi; Chaejeong Lee; Sung-Bae Cho; Dongha Lee 003; Noseong Park (CoRR, 2023)

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. - Hyunjun Ju; SeongKu Kang; Dongha Lee 003; Junyoung Hwang; Sanghwan Jang; Hwanjo Yu (AAAI, 2024)

Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales. - Taeyoon Kwon; Kai Tzu-iunn Ong; Dongjin Kang; Seungjun Moon; Jeong Ryong Lee; Dosik Hwang; Beomseok Sohn; Yongsik Sim; Dongha Lee 003; Jinyoung Yeo (AAAI, 2024)

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 003; Jinyoung Yeo (ACL (1), 2024)

Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy. - Jieyong Kim; Ryang Heo; Yongsik Seo; SeongKu Kang; Jinyoung Yeo; Dongha Lee 003 (ACL (Findings), 2024)

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. - Minjin Kim; Minju Kim; Hana Kim; Beong-woo Kwak; SeongKu Kang; Youngjae Yu; Jinyoung Yeo; Dongha Lee 003 (ACL (Findings), 2024)

VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models. - Seoyeon Kim; Kwangwook Seo; Hyungjoo Chae; Jinyoung Yeo; Dongha Lee 003 (ACL (1), 2024)

Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. - Suyeon Kim; Dongha Lee 003; SeongKu Kang; Sukang Chae; Sanghwan Jang; Hwanjo Yu (CVPR, 2024)

Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement. - Hana Kim; Kai Tzu-iunn Ong; Seoyeon Kim; Dongha Lee 003; Jinyoung Yeo (EACL (2), 2024)

Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering. - Yongho Song; Dahyun Lee; Myungha Jang; Seung-won Hwang; Kyungjae Lee 002; Dongha Lee 003; Jinyoung Yeo (EACL (Findings), 2024)

Taxonomy-guided Semantic Indexing for Academic Paper Search. - SeongKu Kang; Yunyi Zhang 001; Pengcheng Jiang; Dongha Lee 003; Jiawei Han 001; Hwanjo Yu (EMNLP, 2024)

Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering. - Sungho Ko; Hyunjin Cho; Hyungjoo Chae; Jinyoung Yeo; Dongha Lee 003 (EMNLP, 2024)

Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation. - Seonghyeon Lee; Suyeon Kim; Joonwon Jang; Heejae Chon; Dongha Lee 003; Hwanjo Yu (EMNLP (Findings), 2024)

Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory. - Suyeon Lee; Sunghwan Kim; Minju Kim; Dongjin Kang; Dongil Yang; Harim Kim; Minseok Kang; Dayi Jung; Min Hee Kim; Seungbeen Lee; Kyoung-Mee Chung; Youngjae Yu; et al. (EMNLP (Findings), 2024)

Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis. - Yongsik Seo; Sungwon Song; Ryang Heo; Jieyong Kim; Dongha Lee 003 (EMNLP (Findings), 2024)

Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization. - Kwangwook Seo; Jinyoung Yeo; Dongha Lee 003 (EMNLP (Findings), 2024)

RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization. - Seonglae Cho; Myungha Jang; Jinyoung Yeo; Dongha Lee 003 (NAACL (Demonstrations), 2024)

Exploring Language Model's Code Generation Ability with Auxiliary Functions. - Seonghyeon Lee; Sanghwan Jang; Seongbo Jang; Dongha Lee 003; Hwanjo Yu (NAACL-HLT (Findings), 2024)

Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning. - Yeongbin Seo; Dongha Lee 003; Jinyoung Yeo (NeurIPS, 2024)

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. - SeongKu Kang; Shivam Agarwal; Bowen Jin; Dongha Lee 003; Hwanjo Yu; Jiawei Han 001 (WWW, 2024)

COCOA: CBT-based Conversational Counseling Agent using Memory Specialized in Cognitive Distortions and Dynamic Prompt. - Suyeon Lee; Jieun Kang; Harim Kim; Kyoung-Mee Chung; Dongha Lee 003; Jinyoung Yeo (CoRR, 2024)

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. - Minjin Kim; Minju Kim; Hana Kim; Beong-woo Kwak; Soyeon Chun; Hyunseo Kim 002; SeongKu Kang; Youngjae Yu; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2024)

Ever-Evolving Memory by Blending and Refining the Past. - Seo Hyun Kim; Keummin Ka; Yohan Jo; Seung-won Hwang; Dongha Lee 003; Jinyoung Yeo (CoRR, 2024)

THEANINE: Revisiting Memory Management in Long-term Conversations with Timeline-augmented Response Generation. - Seo Hyun Kim; Kai Tzu-iunn Ong; Taeyoon Kwon; Namyoung Kim; Keummin Ka; Seonghyeon Bae; Yohan Jo; Seung-won Hwang; Dongha Lee 003; Jinyoung Yeo (CoRR, 2024)

Graph Signal Processing for Cross-Domain Recommendation. - Jeongeun Lee; Seongku Kang; Won-Yong Shin; Jeongwhan Choi 002; Noseong Park; Dongha Lee 003 (CoRR, 2024)

Unsupervised Robust Cross-Lingual Entity Alignment via Joint Modeling of Entity and Relation Texts. - Soojin Yoon; Sungho Ko; Tongyoung Kim; SeongKu Kang; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2024)

SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation. - Tongyoung Kim; Soojin Yoon; Seongku Kang; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2024)

Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes. - Heejae Chon; Seonghyeon Lee; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2024)

YA-TA: Towards Personalized Question-Answering Teaching Assistants using Instructor-Student Dual Retrieval-augmented Knowledge Fusion. - Dongil Yang; Suyeon Lee; Minjin Kim; Jungsoo Won; Namyoung Kim; Dongha Lee 003; Jinyoung Yeo (CoRR, 2024)

Evaluating Robustness of Reward Models for Mathematical Reasoning. - Sunghwan Kim; Dongjin Kang; Taeyoon Kwon; Hyungjoo Chae; Jungsoo Won; Dongha Lee 003; Jinyoung Yeo (CoRR, 2024)

Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching. - Seoyeon Kim; Huiseo Kim; Chanjun Park; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2024)

Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths. - Sangam Lee; Ryang Heo; SeongKu Kang; Susik Yoon; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2024)

Stop Playing the Guessing Game! Target-free User Simulation for Evaluating Conversational Recommender Systems. - Sunghwan Kim; Tongyoung Kim; Kwangwook Seo; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2024)

Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization. - Sunghwan Kim; Dongjin Kang; Taeyoon Kwon; Hyungjoo Chae; Dongha Lee 003; Jinyoung Yeo (ACL (1), 2025)

MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables. - Kwangwook Seo; Donguk Kwon; Dongha Lee 003 (ACL (1), 2025)

Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation. - Hyungjoo Chae; Namyoung Kim; Kai Tzu-iunn Ong; Minju Gwak; Gwanwoo Song; Jihoon Kim; Sunghwan Kim; Dongha Lee 003; Jinyoung Yeo (ICLR, 2025)

Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics. - Seungbeen Lee; Seungwon Lim; Seungju Han 002; Giyeong Oh; Hyungjoo Chae; Jiwan Chung; Minju Kim; Beong-woo Kwak; Yeonsoo Lee; Dongha Lee 003; Jinyoung Yeo; Youngjae Yu (NAACL (Findings), 2025)

Towards Lifelong Dialogue Agents via Timeline-based Memory Management. - Kai Tzu-iunn Ong; Namyoung Kim; Minju Gwak; Hyungjoo Chae; Taeyoon Kwon; Yohan Jo; Seung-won Hwang; Dongha Lee 003; Jinyoung Yeo (NAACL (Long Papers), 2025)

Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation. - Jieyong Kim; Hyunseo Kim 002; Hyunjin Cho; SeongKu Kang; Buru Chang; Jinyoung Yeo; Dongha Lee 003 (SIGIR, 2025)

Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. - SeongKu Kang; Bowen Jin; Wonbin Kweon; Yu Zhang 044; Dongha Lee 003; Jiawei Han 001; Hwanjo Yu (WSDM, 2025)

Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts. - Soojin Yoon; Sungho Ko; Tongyoung Kim; SeongKu Kang; Jinyoung Yeo; Dongha Lee 003 (WSDM, 2025)

How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code. - Seonghyeon Lee; Heejae Chon; Joonwon Jang; Dongha Lee 003; Hwanjo Yu (CoRR, 2025)

Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval. - Sangam Lee; Ryang Heo; SeongKu Kang; Dongha Lee 003 (CoRR, 2025)

Towards Personalized Conversational Sales Agents : Contextual User Profiling for Strategic Action. - Tongyoung Kim; Jeongeun Lee; Soojin Yoon; Sunghwan Kim; Dongha Lee 003 (CoRR, 2025)

LLMs Think, But Not In Your Flow: Reasoning-Level Personalization for Black-Box Large Language Models. - Jieyong Kim; Tongyoung Kim; Soojin Yoon; Jaehyung Kim; Dongha Lee 003 (CoRR, 2025)

On the Effectiveness of Integration Methods for Multimodal Dialogue Response Retrieval. - Seongbo Jang; Seonghyeon Lee; Dongha Lee 003; Hwanjo Yu (CoRR, 2025)

From What to Respond to When to Respond: Timely Response Generation for Open-domain Dialogue Agents. - Seongbo Jang; Minjin Jeon; Jaehoon Lee; Seonghyeon Lee; Dongha Lee 003; Hwanjo Yu (CoRR, 2025)

Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems. - Seongku Kang; Wonbin Kweon; Dongha Lee 003; Jianxun Lian; Xing Xie 001; Hwanjo Yu (Trans. Recomm. Syst., 2025)