Hyeonsoo Jo

profile.jpg
Ph.D. Candicate

Data Mining Lab, KAIST AI

I am a Ph.D. Candidate in the
KAIST AI
. I received my M.S. in
Electrical Engineering
from
KAIST
, where I was advised by Prof. Yonghoon Lee. I received my B.S. in Electrical Engineering from
KAIST
. My research interests include
  • Robust learning,
  • Graph machine learning
  • Graph mining
Email:
hsjo (at) kaist.ac.kr

Education

2019-09 - Present
Ph.D.
in School of AI from Korea Advanced Institute of Science and Technology
2017-03 - 2019-02
M.S.
in Electrical Engineering from Korea Advanced Institute of Science and Technology
2013-03 - 2017-02
B.S.
in Electrical Engineering from Korea Advanced Institute of Science and Technology

Publications

  1. Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
    Fanchen Bu
    , Hyeonsoo Jo, 
    Soo Yong Lee
    , 
    Sungsoo Ahn
    , and 
    Kijung Shin
    In ICML, 2024
  2. Robust Graph Clustering via Meta Weighting for Noisy Graphs
    Hyeonsoo Jo, 
    Fanchen Bu
    , and 
    Kijung Shin
    In CIKM, 2023
  3. SSUMM: Sparse Summarization of Massive Graphs
    Kyuhan Lee*
    , Hyeonsoo Jo*, 
    Jihoon Ko
    , 
    Sungsu Lim
    , and 
    Kijung Shin
    In KDD, 2020
  4. Basis Learning Autoencoders for Hybrid Collaborative Filtering in Cold Start Setting
    Kiwon Lee
    , Hyeonsoo Jo, 
    Hyoji Kim
    , and 
    Yong Hoon Lee
    In MLSP, 2019