Jaemin Yoo

I am a Ph.D. candidate majoring in Computer Science and Engineering at Seoul National University, advised by Prof. U Kang. I received my B.S. in Computer Science and Engineering from Seoul National University. My research interests include data mining and machine learning. I am a recipient of the Google PhD Fellowship Program in Machine Learning.

News

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• [Oct. 2021] I gave an invited talk at KAIST AI Student Colloquium [slides].
• [Aug. 2021] Our work on graph-based PU learning is accepted at ICDM 2021.
• [May 2021] Our work on stock movement prediction is accepted at KDD 2021.
• [Apr. 2021] I received the Best Poster Award at AIIS Spring Retreat 2021.
• [Apr. 2021] I received the SIAM Student Travel Awards.
• [Feb. 2021] Our work on Gaussian Soft Decision Trees is accepted at PAKDD 2021.
• [Dec. 2020] Our work on Attention-Based Autoregression is accepted at SDM 2021.
• [Dec. 2020] I received the Qualcomm Innovation Fellowship Korea.
• [Sep. 2020] I received the Yulchon AI Star Award.

About Me

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Contacts

• Data Mining Lab. (by Prof. U Kang)
  Computer Science and Engineering
  Seoul National University (SNU)
• Tel: +82-2-880-7263
  
• Email: jaeminyoo at snu.ac.kr
• [ Google Scholar | DBLP | LinkedIn | CV ]

Research Interests

• Node classification in graphs (ICDM'17, IJCAI'19, ICDM'21)
• Multivariate time series forecasting (SDM'21, KDD'21)
• Interpretable tree models (ICDM'19, PAKDD'21)
• Graph subsampling (WSDM'20)
• Zero-shot knowledge distillation (NeurIPS'19)

Awards and Scholarships

• SIAM Student Travel Awards (SDM 2021, Apr. 2021)
• Qualcomm Innovation Fellowship Korea (Dec. 2020)
• Yulchon AI Star Award (Sep. 2020)
• Google PhD Fellowship Program (Machine Learning, Sep. 2019)
• Samsung HumanTech Paper Award (Honorable Mention; Feb. 2019)
• Google Conference Scholarships (Nov. 2017)

Publications

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• Accurate Graph-Based PU Learning without Class Prior (to appear)
  Jaemin Yoo*, Junghun Kim*, Hoyoung Yoon*, Geonsoo Kim, Changwon Jang, and U Kang (*equal contribution)
  ICDM 2021 [ paper | bib | blog (Korean) ]
  Regular Paper (top 9.9% = 98/990)

• Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts
  Jaemin Yoo, Yejun Soun, Yong-chan Park, and U Kang
  KDD 2021 [ paper | homepage (data) | slides | bib ]

• Gaussian Soft Decision Trees for Interpretable Feature-Based Classification
  Jaemin Yoo and Lee Sael
  PAKDD 2021 [ paper | github | slides | bib ]

• Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting
  Jaemin Yoo and U Kang
  SDM 2021 [ paper | slides | bib | blog (Korean) ]

• Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference
  Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, and Marco Zaffalon
  WSDM 2020 [ paper | homepage (code and data) | poster | bib | blog (Korean) ]
  Samsung HumanTech Paper Award; Qualcomm Innovation Fellowship Korea

• Knowledge Extraction with No Observable Data
  Jaemin Yoo, Minyong Cho, Taebum Kim, and U Kang
  NeurIPS 2019 [ paper | github | slides | poster | bib | blog (Korean) ]
  Qualcomm Innovation Fellowship Korea

• EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees
  Jaemin Yoo and Lee Sael
  ICDM 2019 [ paper | github | slides | bib ]

• Belief Propagation Network for Hard Inductive Semi-Supervised Learning
  Jaemin Yoo, Hyunsik Jeon, and U Kang
  IJCAI 2019 [ paper | github | slides | poster | bib | blog (Korean) ]

• Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets
  Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, and U Kang
  International Journal of Approximate Reasoning (2018) [ paper | bib ]

• Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs
  Saehan Jo, Jaemin Yoo, and U Kang
  WSDM 2018 [ paper | homepage (code and data) | slides | poster | bib ]

• Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks
  Jaemin Yoo, Saehan Jo, and U Kang
  ICDM 2017 [ paper | homepage (code and data) | slides | bib | blog (Korean) ]
  Regular Paper (top 9.3% = 72/778)

Services

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Invited Talks

• KAIST AI Student Colloquium (Online, Oct. 2021)
• SNU AI Summer School 2021 (Online, Aug. 2021)
• SNU AI Institute (AIIS) Retreat 2021 (Seoul, Apr. 2021)
• NAVER Online Tech Talk (Online, Dec. 2020)
• SNU AI Summer School 2020 (Seoul, Aug. 2020)
• SNU Hospital (Seoul, Jul. 2020)
• SNU AI Institute (AIIS) Retreat 2020 (Seoul, Jun. 2020)
• Kakao Enterprise (Seongnam, Jan. 2020)
• Korea Software Congress 2019 (Pyeongchang, Dec. 2019)
• SNU Center for AI Retreat 2019 (Chuncheon, Jul. 2019)
• Samsung Electronics (Suwon, May 2019)
• IDSIA (Lugano, Switzerland, Jul. 2018)
• Korea Software Congress 2017 (Busan, Dec. 2017)

Academic Services

• PC Member @ SDM (2022)
• PC Member @ AAAI (2021 - 2022)
• PC Member @ BigComp (2021 - 2022)
• PC Member @ KDD (2021)
• Journal reviewer @ Pattern Recognition (2021)

Jaemin Yoo @ SNU