NHN, Seongnam, Korea
Software Engineer • Feb 2006 – Aug 2008
Publications
Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos
Byungsoo Jeon*, and Namyong Park*
AAAI-20 Workshop on Artificial Intelligence for Education 2020, New York, New York USA.
[paper]
Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning
Byungsoo Jeon*, Namyong Park*, and Seojin Bang*
AAAI-20 Workshop on Artificial Intelligence for Education 2020, New York, New York USA.
[paper]
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, and Christos Faloutsos
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2019, Anchorage, Alaska USA.
[paper]
Fast and Scalable Method for Distributed Boolean Tensor Factorization Namyong Park, Sejoon Oh, and U Kang The VLDB Journal 2019.
[paper |
code & datasets]
High-Performance Tucker Factorization on Heterogeneous Platforms
Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, and U Kang
IEEE Transactions on Parallel and Distributed Systems (TPDS) 2019.
[paper |
code & datasets]
Acute kidney injury predicts all-cause mortality in patients with cancer
Eunjeong Kang, Minsu Park, Peonggang Park, Namyong Park, Younglee Jung, U Kang, Hee Kyung Kang, Dong Ki Kim, Kwon Wook Joo, Yon Su Kim, Hyung Jin Yoon and Hajeong Lee Cancer Medicine 2019.
[paper]
Predicting acute kidney injury in cancer patients using heterogeneous and irregular data Namyong Park, Eunjeong Kang, Minsu Park, Hajeong Lee, Hee-Gyung Kang, Hyung-Jin Yoon, and U Kang PLOS ONE 2018.
[paper]
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries
Sejoon Oh, Namyong Park, Lee Sael, and U Kang
IEEE International Conference on Data Engineering (ICDE) 2018, Paris, France.
[paper |
code & datasets]
Fast and Scalable Distributed Boolean Tensor Factorization Namyong Park, Sejoon Oh, and U Kang
IEEE International Conference on Data Engineering (ICDE) 2017, San Diego, California, USA.
[paper |
code & datasets]
BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart
Jinhong Jung, Namyong Park, Lee Sael, and U Kang
ACM International Conference on Management of Data (SIGMOD) 2017, Chicago, Illinois, USA.
[paper |
code & datasets]
Partition Aware Connected Component Computation in Distributed Systems
Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, and U Kang
IEEE International Conference on Data Mining (ICDM) 2016, Barcelona, Spain.
[paper |
code & datasets]
A Distributed Vertex Rearrangement Algorithm for Compressing and Mining Big Graphs Namyong Park, Chiwan Park, and U Kang
Journal of KIISE, 2016.
[paper |
datasets]
BIGtensor: Mining Billion-Scale Tensor Made Easy Namyong Park*, Byungsoo Jeon*, Jungwoo Lee, and U Kang
ACM International Conference on Information and Knowledge Management (CIKM) 2016, Indianapolis, Indiana, USA.
[paper |
code & datasets]
Improvement of complex and refractory ecological models: riverine water quality modelling using evolutionary computation
MinHyeok Kim, Namyong Park, R.I. (Bob) McKay, Haisoo Shin, Yun-Geun Lee, Kwang-Seuk Jeong, and Dong-Kyun Kim Ecological Modelling, 2014.
[paper]
Cutting Evaluation Costs: An Investigation into Early Termination in Genetic Programming Namyong Park, Kangil Kim, and R.I. (Bob) McKay
IEEE Congress on Evolutionary Computation (CEC), 2013, Cancun, Mexico.
[paper]
Analysis of Adaptive Pursuit Methods on Various Situations
Minhyeok Kim, Namyong Park, and R.I. (Bob) McKay
The 39th KIISE Fall Conference, 2012, Daejeon, Korea.
[paper]
Evolving the Best Known Approximation to the Q Function
Dao Ngoc Phon, Nguyen Xuan Hoai, R. I. (Bob) McKay, Constantin Siriteanu, Nguyen Quang Uy, and Namyong Park
The 2012 Genetic and Evolutionary Computation Conference (GECCO), 2012, Philadelphia, USA.
[paper]
