Namyong Park Ph.D. Student Computer Science Department Carnegie Mellon University Email: namyongp (at) cs.cmu.edu Web: http://www.namyongpark.com

Research Interests Scalable Data Mining, Machine Learning, Evolutionary Algorithms

Education

• Ph.D. in Computer Science, Carnegie Mellon University, Sep 2017 – Present
  
  • Advisor: Prof. Christos Faloutsos
• M.S. in Electrical Engineering and Computer Science, Seoul National University, Aug 2013
  
  • Advisor: Prof. Robert Ian McKay
• B.S. in Computer Science and Engineering, Seoul National University, Aug 2010

Work & Research Experience

• Carnegie Mellon University, Pittsburgh, PA
  Research Assistant • Sep 2017 – Present
• Seoul National University, Seoul, Korea
  Research Intern • Data Mining Lab • Sep 2015 – Jul 2017
• SAP Labs Korea, Seoul, Korea
  Software Developer • Jan 2015 – Jan 2016
• Fancy, New York, NY, USA (remote)
  Software Engineer • Aug 2013 – Dec 2014
• Seoul National University, Seoul, Korea
  Research Assistant • Structural Complexity Lab • Feb 2011 – Jul 2013
• Software Maestro Program, Seoul, Korea
  Contestant • Aug 2010 – Oct 2011
• NHN, Seongnam, Korea
  Software Engineer • Feb 2006 – Aug 2008

Publications

• 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 | homepage]
• 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 | homepage]
• 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 | homepage]
• A Distributed Vertex Rearrangement Algorithm for Compressing and Mining Big Graphs
  Namyong Park, Chiwan Park, and U Kang
  Journal of KIISE, Vol. 43, No. 10, pp. 1131-1143, 2016.
  [paper | homepage]
• 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 | homepage]
• 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 291, 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]