Biography

I am a postdoctoral research fellow in Computer Science and Engineering at Pohang University of Science and Technology (POSTECH). Currently, I am working on data mining and machine learning in Data Intelligence Group with my advisor Prof. Hwanjo Yu. My research interest lies in effectively learning various high-dimensional structured data based on deep learning approaches. In particular, I have focused on developing practical solutions for real-world applications, which covers a wide range of data types (e.g., matrix/tensor, graph, time series), tasks (e.g., retrieval, classification, outcome prediction, anomaly detection, data generation), and domains (e.g., healthcare, manufacturing, recommender systems).

I received my Ph.D. degree in Computer Science and Engineering from Pohang University of Science and Technology (POSTECH) under the supervision of Prof. Hwanjo Yu. I also have co-worked with Prof. Xiaoqian Jiang as a visiting scholar in the School of Biomedical Informatics at University of Texas Health Science Center (UTHealth).

Research Interest

  • Deep learning approaches to real-world applications
  • Representation learning on high-dimensional structured data
  • Scalable machine learning and data mining algorithms

Education

  • Ph.D. in Computer Science and Engineering (2020), POSTECH, South Korea
  • B.S. in Computer Science and Enginnering (2015), POSTECH, South Korea

Publications

  • 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]

  • 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]

  • 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]

  • 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]

  • Compressing Model for Matrix Factorization with Quantization Using k-means Clustering
    Junsu Cho, Dongha Lee, Hwanjo Yu
    Korean Database Conference (KDBC), 2017

  • GeoVideoIndex: Indexing for Georeferenced Videos
    Dongha Lee, Jinoh Oh, Woong-Kee Loh, Hwanjo Yu
    Information Sciences, 2016 (SCI)
    [paper]

Honors & Awards

  • ACM CIKM Student Travel Award (2018)
  • Naver Ph.D. Fellowship (2018)
  • POSTECH CSE Graduate Fellowship (2015)
  • Kwanjeong Educational Fellowship (2013 - 2016)