Jaemin Yoo

Ph.D. Student at Seoul National University

About Me

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

Research Interests

• Machine learning on graphs (ICDM'17, WSDM'18, IJCAI'19, WSDM'20)
• Interpretable machine learning (ICDM'19)
• Neural network compression (NeurIPS'19)

Education

• Ph.D. Student (Mar. 2016 - Present)
• Bachelor of Science (Feb. 2016)
  Computer Science and Engineering
  Seoul National University

Awards and Honors

• Google PhD Fellowship Program (Machine Learning, Sep. 2019)
• Samsung HumanTech Paper Award (Honorable Mention; 4th in CS, Feb. 2019)
• Google Conference and Travel Scholarships (Nov. 2017)

Publications

---

• 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 | poster | bib ]
  (acceptance rate 91/615 = 14.8%)

• Knowledge Extraction with No Observable Data
  Jaemin Yoo, Minyong Cho, Taebum Kim, and U Kang
  NeurIPS 2019 [ paper | github | slides | poster | bib ]
  (acceptance rate 1428/6743 = 21.2%)

• EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees
  Jaemin Yoo and Lee Sael
  ICDM 2019 [ paper | github | slides | bib ]
  (acceptance rate 194/1046 = 18.5%)

• Belief Propagation Network for Hard Inductive Semi-Supervised Learning
  Jaemin Yoo, Hyunsik Jeon, and U Kang
  IJCAI 2019 [ paper | github | slides | poster | bib ]
  (acceptance rate 850/4752 = 17.9%)

• 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 | slides | poster | bib ]
  (acceptance rate 83/514 = 16.3%)

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

Jaemin Yoo @ SNU