Biography
I am a postdoctoral research fellow in CS Department, University of Illinois at Urbana-Champaign. Currently, I am working on data mining and machine learning in Data Mining Group with my advisor Prof. Jiawei Han. I will join AI Department, Yonsei University as an assitant professor in Spring 2023.
My research interest lies in applied machine learning, which aims to develop practical ML solutions for real-world applications. I have covered a wide range of data types (e.g., matrix/tensor, text, graph, time series), tasks (e.g., classification, outcome prediction, anomaly detection, retrieval, data generation), and domains (e.g., healthcare, manufacturing, recommender systems).
Research Interest
- Knowledge discovery from massive real-world data
- Text mining and NLP applications
- Deep learning approaches to real-world applications
Publications
2023
SCStory: Self-supervised and Continual Online Story Discovery
Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han
The ACM Web Conference (WWW), 2023
[paper] [code]Distillation from Heterogeneous Models for Top-K Recommendation
Seongku Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
The ACM Web Conference (WWW), 2023
[paper] [code]Learning Topology-Specific Experts for Molecular Property Prediction
Su Kim, Dongha Lee, Seongku Kang, Seonghyeon Lee, Hwanjo Yu
AAAI Conference on Artificial Intelligence (AAAI), 2023
[paper] [code]
2022
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation
Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han
Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), 2022
[paper] [code]Measurement of Image Conformity for Viewpoint-robust One-class Classification
Hyunjun Ju, Dongha Lee, Seongku Kang, Hwanjo Yu
Information Sciences, 2022 (SCI)
[paper] [code]Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning
Seonghyeon Lee, Dongha Lee, Seongbo Jang, Hwanjo Yu
Annual Conference of the Association for Computational Linguistics (ACL), 2022
[paper] [code]TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters
Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu
The ACM Web Conference (WWW), 2022
[paper] [code]Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
Seongku Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu
The ACM Web Conference (WWW), 2022
[paper] [code]Personalized Knowledge Distillation for Recommender System
Seongku Kang, Dongha Lee, Wonbin Kweon, Hwanjo Yu
Knowledge-Based Systems, 2022 (SCI)
[paper] [code]
2021
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision
Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu
IEEE International Conference on Data Mining (ICDM), 2021
[paper] [code]Learnable Structural Semantic Readout for Graph Classification
Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu
IEEE International Conference on Data Mining (ICDM), 2021
[paper] [code]Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping
Dongha Lee, Sehun Yu, Hyunjun Ju, Hwanjo Yu
IEEE International Conference on Computer Vision (ICCV), 2021
[paper] [code]Out-of-manifold Regularization in Contextual Embedding Space for Text Classification
Seonghyeon Lee, Dongha Lee, Hwanjo Yu
Annual Conference of the Association for Computational Linguistics (ACL), 2021
[paper] [code]Bootstrapping User and Item Representations for One-Class Collaborative Filtering
Dongha Lee, Seongku Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
[paper] [code]Learnable Dynamic Temporal Pooling for Time Series Classification
Dongha Lee, Seonghyeon Lee, Hwanjo Yu
AAAI Conference on Artificial Intelligence (AAAI), 2021
[paper] [code]
2020
Multi-class Data Description for Out-of-distribution Detection
Dongha Lee, Sehun Yu, Hwanjo Yu
ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), 2020
[paper] [code]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 (SCI)
[paper] [code] [webpage]Harmonized Representation Learning on Dynamic EHR Graphs
Dongha Lee, Xiaoqian Jiang, Hwanjo Yu
Journal of Biomedical Informatics, 2020 (SCI)
[paper] [code]Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection
Sehun Yu, Dongha Lee, Hwanjo Yu
International Joint Conference on Artificial Intelligence (IJCAI), 2020
[paper] [code]PUMAD: PU Metric Learning for Anomaly Detection
Hyunjun Ju, Dongha Lee, Junyoung Hwang, Junghyun Namkung, Hwanjo Yu
Information Sciences, 2020 (SCI)
[paper]Scalable Disk-based Topic Modeling for Memory Limited Devices
Byungju Kim, Dongha Lee, Jinoh Oh, Hwanjo Yu
Information Sciences, 2020 (SCI)
[paper]Large-Scale Matrix and Tensor Completion based on Out-of-Core Approaches
Dongha Lee
Ph.D. Dissertation, 2020
[paper]
2019
OCAM: Out-of-core Coordinate Descent Algorithm for Matrix Completion
Dongha Lee, Jinoh Oh, Hwanjo Yu
Information Sciences, 2019 (SCI)
[paper] [code] [webpage]Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users
Seongku Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu
ACM International Conference on Information and Knowledge Management (CIKM), 2019
[paper]Action Space Learning for Heterogeneous User Behavior Prediction
Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu
International Joint Conference on Artificial Intelligence (IJCAI), 2019
[paper] [code]
2018
Fast Tucker Factorization for Large-scale Tensor Completion
Dongha Lee, Jaehyung Lee, Hwanjo Yu
IEEE International Conference on Data Mining (ICDM), 2018
[paper] [code] [webpage]Disk-based Matrix Completion for Memory Limited Devices
Dongha Lee, Jinoh Oh, Christos Faloutsos, Byungju Kim, Hwanjo Yu
ACM International Conference on Information and Knowledge Management (CIKM), 2018
[paper] [webpage]DualSentiNet: Dual Prediction of Word and Document Sentiments Using Shared Word Embedding
Dongha Lee, Hyunjun Ju, Jung-Mi Park, Kye-Yoon Kim, Hwanjo Yu
ACM International Conference on Ubiquitous Information Management and Communication (IMCOM), 2018
[paper]
2017
- Compressing Model for Matrix Factorization with Quantization Using k-means Clustering
Junsu Cho, Dongha Lee, Hwanjo Yu
Korean Database Conference (KDBC), 2017
2016
- GeoVideoIndex: Indexing for Georeferenced Videos
Dongha Lee, Jinoh Oh, Woong-Kee Loh, Hwanjo Yu
Information Sciences, 2016 (SCI)
[paper]
Work Experience
- University of Illinois at Urbana-Champaign (UIUC), United States
Postdoctoral Research Fellow, 2021.07 -
Department of Computer Science
Advisor: Prof. Jiawei Han - 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 - 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
Education
- 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 - Technical University of Berlin (TU Berlin), Germany
B.S. in Computer Science, 2013.10 - 2014.02
Exchange Student - 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)
Honors & Awards
- ACM CIKM Student Travel Award (2018)
- Naver Ph.D. Fellowship (2018)
- POSTECH CSE Graduate Fellowship (2015)
- Kwanjeong Educational Fellowship (2013 - 2016)