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Dongha Lee
Assistant Professor
Adjunct Professor |
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I am an assistant professor in the Department of Artificial Intelligence at Yonsei University. I received my Ph.D. in Computer Science from POSTECH where I was advised by Prof. Hwanjo Yu. During my Ph.D., I was fortunate to work as a visiting scholar at UT Health, under the supervision of Prof. Xiaoqian Jiang. After completing my Ph.D., I worked as a postdoctoral research fellow at the UIUC with my advisor, Prof. Jiawei Han. |
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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 WSDM, 2025 paper / code |
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Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu WSDM, 2025 paper / code |
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Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths
Sangam Lee, Ryang Heo, SeongKu Kang, Susik Yoon, Jinyoung Yeo, Dongha Lee Preprint (arXiv), 2024 paper / code |
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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 Preprint (arXiv), 2024 paper / code |
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Towards Lifelong Dialogue Agents via Relation-aware Memory Construction and Timeline-augmented Response Generation
{Kai Tzu-iunn Ong, Namyoung Kim}, Minju Gwak, Hyungjoo Chae, Taeyoon Kwon, Yohan Jo, Seung-won Hwang, Dongha Lee, Jinyoung Yeo Preprint (arXiv), 2024 paper / code |
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Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics
Seungbeen Lee, Seungwon Lim, Seungju Han, Giyeong Oh, Hyungjoo Chae, Jiwan Chung, Minju Kim, Beong-woo Kwak, Yeonsoo Lee, Dongha Lee, Jinyoung Yeo, Youngjae Yu Preprint (arXiv), 2024 paper / code |
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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, Jinyoung Yeo Preprint (arXiv), 2024 paper / code |
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Evaluating Robustness of Reward Models for Mathematical Reasoning
{Sunghwan Kim, Dongjin Kang}, Taeyoon Kwon, Hyungjoo Chae, Jungsoo Won, Dongha Lee, Jinyoung Yeo Preprint (arXiv), 2024 paper / code |
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Bag of Tricks for Diabetic Retinopathy and Diabetic Macular Edema Classification in Ultra-Widefield Imaging
Hyeonmin Kim, Chanyang Seo, Wonyoung Seo, Yunnie Cho, Ohhyun Kwon, Dongha Lee MICCAI Challenge: Ultra-Widefield Fundus Imaging for Diabetic Retinopathy (UWF4DR) , 2024 **First Place Award** paper / code |
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Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
Yeongbin Seo, Dongha Lee, Jinyoung Yeo NeurIPS, 2024 paper / code |
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Taxonomy-guided Semantic Indexing for Academic Paper Search
SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu EMNLP (Oral), 2024 paper / code |
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Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
{Sungho Ko, Hyunjin Cho}, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee EMNLP (Oral), 2024 paper / code |
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Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization
Kwangwook Seo, Jinyoung Yeo, Dongha Lee EMNLP Findings, 2024 paper / code |
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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 EMNLP Findings, 2024 paper / code |
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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, Dongha Lee, Jinyoung Yeo EMNLP Findings, 2024 paper / code |
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Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation
Seonghyeon Lee, Suyeon Kim, Joonwon Jang, HeeJae Chon, Dongha Lee, Hwanjo Yu EMNLP Findings, 2024 paper / code |
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SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation
Tongyoung Kim, Soojin Yoon, Seongku Kang, Jinyoung Yeo, Dongha Lee Preprint (arXiv), 2024 paper / code |
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Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation
Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee Preprint (arXiv), 2024 paper / code |
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Graph Signal Processing for Cross-Domain Recommendation
Jeongeun Lee, SeongKu Kang, Won-Yong Shin, Jeongwhan Choi, Noseong Park, Dongha Lee Preprint (arXiv), 2024 paper / code |
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Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes
{HeeJae Chon, Seonghyeon Lee}, Jinyoung Yeo, Dongha Lee Preprint (arXiv), 2024 paper / code |
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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 ACL, 2024 **Outstanding Paper** paper / code |
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VERIFINER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models
{Seoyeon Kim, Kwangwook Seo}, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee ACL, 2024 paper / code |
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PEARL: A Review-driven Persona-Knowledge grounded Conversational Recommendation Dataset
{Minjin Kim, Minju Kim}, Hana Kim, Beong-woo Kwak, Soyeon Jeon, Hyunseo Kim, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee ACL Findings, 2024 paper / code / dataset |
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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 ACL Findings, 2024 paper / code |
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Exploring Language Model’s Code Generation Ability with Auxiliary Functions
Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu NAACL Findings, 2024 paper / code |
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RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization
Seonglae Cho, Myungha Jang, Jinyoung Yeo, Dongha Lee NAACL Demo, 2024 paper / code |
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Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
Suyeon Kim, Dongha Lee*, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu* CVPR, 2024 paper / code |
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Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu ACM Transactions on Recommender Systems, 2024 paper / code |
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Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy
SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han WWW, 2024 paper / code |
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Evidentiality-Aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering
Yongho Song, Dahyun Lee, Myungha Jang, Seung-won Hwang, Kyungjae Lee, Dongha Lee, Jinyoung Yeo EACL Findings, 2024 paper / code |
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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, Jinyoung Yeo EACL, 2024 paper / code |
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Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
Taeyoon Kwon, Kai Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Beomseok Sohn, Yongsik Sim, Dongha Lee, Jinyoung Yeo AAAI, 2024 paper / code |
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Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu AAAI, 2024 paper / code |
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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, Dongyeop Kang, Jinyoung Yeo EMNLP, 2023 paper / code |
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Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding
Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han SIGIR, 2023 paper / code |
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SCStory: Self-supervised and Continual Online Story Discovery
Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han WWW, 2023 paper / code |
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Distillation from Heterogeneous Models for Top-K Recommendation
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu WWW, 2023 paper / code |
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Topology-Specific Experts for Molecular Property Prediction
Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu AAAI, 2023 paper / code |
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Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation
Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han EMNLP Findings, 2022 paper / code |
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Mitigating Viewpoint Sensitivity of Self-supervised One-class Classifiers
Hyunjun Ju, Dongha Lee, SeongKu Kang, Hwanjo Yu Information Sciences, 2022 paper / code |
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Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning
Seonghyeon Lee, Dongha Lee, Seongbo Jang, Hwanjo Yu ACL, 2022 paper / code |
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TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters
Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu WWW, 2022 paper / code |
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Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu WWW, 2022 paper / code |
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Personalized Knowledge Distillation for Recommender System
SeongKu Kang, Dongha Lee, Wonbin Kweon, Hwanjo Yu Knowledge-Based Systems, 2022 paper / code |
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Out-of-Category Document Identification Using Target-Category Names as Weak Supervision
Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu ICDM, 2021 paper / code |
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Learnable Structural Semantic Readout for Graph Classification
Dongha Lee, Suyeon Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu ICDM, 2021 paper / code |
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Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping
Dongha Lee, Sehun Yu, Hyunjun Ju, Hwanjo Yu ICCV, 2021 paper / code |
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Out-of-manifold Regularization in Contextual Embedding Space for Text Classification
Seonghyeon Lee, Dongha Lee, Hwanjo Yu ACL, 2021 paper / code |
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Bootstrapping User and Item Representations for One-Class Collaborative Filtering
Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu SIGIR, 2021 paper / code |
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Learnable Dynamic Temporal Pooling for Time Series Classification
Dongha Lee, Seonghyeon Lee, Hwanjo Yu AAAI, 2021 paper / code |
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Multi-class Data Description for Out-of-distribution Detection
Dongha Lee, Sehun Yu, Hwanjo Yu KDD, 2020 paper / code |
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Generating Sequential Electronic Health Records using Dual Adversarial Autoencoder
Dongha Lee, Hwanjo Yu, Xiaoqian Jiang, Deevakar Rogith, Meghana Gudala, Mubeen Tejani, Qiuchen Zhang, Li Xiong Journal of the American Medical Informatics Association (JAMIA), 2020 paper / code |
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Harmonized Representation Learning on Dynamic EHR Graphs
Dongha Lee, Xiaoqian Jiang, Hwanjo Yu Journal of Biomedical Informatics, 2020 paper / code |
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Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection
Sehun Yu, Dongha Lee, Hwanjo Yu IJCAI, 2020 paper / code |
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PUMAD: PU Metric Learning for Anomaly Detection
Hyunjun Ju, Dongha Lee, Junyoung Hwang, Junghyun Namkung, Hwanjo Yu Information Sciences, 2020 paper / code |
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Scalable Disk-based Topic Modeling for Memory Limited Devices
Byungju Kim, Dongha Lee, Jinoh Oh, Hwanjo Yu Information Sciences, 2020 paper / code |
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OCAM: Out-of-core Coordinate Descent Algorithm for Matrix Completion
Dongha Lee, Jinoh Oh, Hwanjo Yu Information Sciences, 2020 paper / code / webpage |
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Large-Scale Matrix and Tensor Completion based on Out-of-Core Approaches
Dongha Lee Ph.D. Dissertation, 2020 paper |
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Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users
SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu CIKM, 2019 paper |
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Action Space Learning for Heterogeneous User Behavior Prediction
Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu IJCAI, 2019 paper / code |
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Fast Tucker Factorization for Large-scale Tensor Completion
Dongha Lee, Jaehyung Lee, Hwanjo Yu ICDM, 2018 paper / code / webpage |
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Disk-based Matrix Completion for Memory Limited Devices
Dongha Lee, Jinoh Oh, Christos Faloutsos, Byungju Kim, Hwanjo Yu CIKM, 2018 paper / webpage |
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DualSentiNet: Dual Prediction of Word and Document Sentiments Using Shared Word Embedding
Dongha Lee, Hyunjun Ju, Jung-Mi Park, Kye-Yoon Kim, Hwanjo Yu IMCOM, 2018 paper |
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Compressing Model for Matrix Factorization with Quantization Using k-means Clustering
Junsu Cho, Dongha Lee, Hwanjo Yu KDBC, 2017 |
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GeoVideoIndex: Indexing for Georeferenced Videos
Dongha Lee, Jinoh Oh, Woong-Kee Loh, Hwanjo Yu Information Sciences, 2016 paper |
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University of Illinois at Urbana-Champaign (UIUC), United States Postdoctoral Research Fellow, 2021.07 - 2023.02 Department of Computer Science Advisor: Prof. Jiawei Han |
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Pohang University of Science and Technology (POSTECH), South Korea Postdoctoral Researcher, 2020.03 - 2021.06 Department of Computer Science and Engineering Advisor: Prof. Hwanjo Yu |
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University of Texas Health Science Center at Houston (UT Health), United States Visiting Scholar, 2018.09 - 2019.02 School of Biomedical Informatics Advisor: Prof. Xiaoqian Jiang |
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Pohang University of Science and Technology (POSTECH), South Korea Ph.D. in Computer Science and Engineering, 2015.03 - 2020.02 Large-scale Matrix and Tensor Completion based on Out-of-core Approaches Advisor: Prof. Hwanjo Yu |
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Technical University of Berlin (TU Berlin), Germany B.S. in Computer Science, 2013.10 - 2014.02 Exchange Student |
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Pohang University of Science and Technology (POSTECH), South Korea B.S. in Computer Science and Enginnering, 2011.03 - 2015.02 Summa Cum Laude (Ranked 1st in the Department) |
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