Curriculum Vitae

of Donghyeon Park

Donghyeon Park(박동현, 朴東炫), M.S.

  • Current Work : Data Mining & Information System Lab in Korea University
  • Current Position : Ph.D. Student, Researcher
  • Email 1 : dhyeon.park [at] gmail [dot] com
  • Email 2 : parkdh [at] korea [dot] ac [dot] kr
  • Phone : +82-10-4860-7491
  • Homepage : dmis.korea.ac.kr

■ Main Research Interest

    • Natural Language Processing
    • FoodInformatics / Food-related Data Science
    • ChemInformatics / Chemistry-related Data Science


■ Personal Sites

[Github],[Google Scholar], [Research Gate], [DBLP], [LinkedIn]


Purpose driven job by “MeetAnais”

■ Education

  • Korea University, Seoul, South Korea (Current) 2017. 03. - Present
  • Korea University, Seoul, South Korea 2015.03 - 2017. 02.
    • M.S. in Computer Science, Bioinformatics
    • Thesis title : "A dataset for teaching machines to read and comprehend scientific literature"
    • Advisor: Prof. Jaewoo Kang
  • Korea University, Seoul, South Korea 2011. 03. - 2015. 02.
    • B.E. in Computer Engineering

■ Research Topics in Detail

    • Natural Language Processing
      • Question & Answering based on Academic Resources
      • Dataset Generation & Management for Natural Language Processing
      • Sentiment & Spam Classification
      • SNS Review Data Anaylsis
    • FoodInformatics
      • Food Ingredient Embedding
      • Drink Recipe Analysis
      • Food & Drink Pairing based on Artificial Intelligence
      • Personalized Food Recommendation System
    • ChemicalInformatics
      • Drug Response Similarity Prediction for New Drug Development
      • Polyurethane Property Prediction & Formulation Recommendation (Collaboration with SKC)

■ Publications

- International Journal

    • Minji Jeon*, Donghyeon Park*, Jinhyuk Lee, Hwisang Jeon, Miyoung Ko, Sunyku Kim, Yonghwa Choi and Jaewoo Kang "ReSimNet: Drug Response Similarity Prediction based on a Siamese Neural Network", BioInformatics 2018 (Review in Progress)
    • Seongsoon Kim*, Donghyeon Park*, Yonghwa Choi*, Kyubum Lee, Byounggun Kim, Minji Jeon, Jihhye Kim, Aik-Choon Tan and Jaewoo Kang "A Pilot Study of Biomedical Text Comprehension using an Attention-based Deep Neural Reader: Design and Experimental Analysis", JMIR Medical Informatics 2018;6(1):e2, doi:10.2196/medinform.8751 (Full Paper Accepted, Impact Factor-TBD)


- International Conference

    • Buru Chang, Yonggyu Park, Donghyeon Park, Seongsoon Kim, Jaewoo Kang "Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation" The 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Stockholm, Sweden, July 13-19, 2018 (Full Paper Accepted)
    • Seongsoon Kim*, Seongwoon Lee*, Donghyeon Park and Jaewoo Kang "Constructing and Evaluating a Novel Crowdsourcing-based Paraphrased Opinion Spam Dataset" The 26th International World Wide Web Conference (WWW 2017), Perth, Australia, April 3-7 2017 (Full Paper Accepted, acceptance ratio: 17%, 한국정보과학회 KCC2018 Invited Paper)


- Domestic Journal (South Korea)

    • 이성운, 김성순, 박동현, 강재우 "크라우드소싱 기반 문장재구성 방법을 통한 의견 스팸 데이터셋 생성 및 특성 분석", KIISE Transactions on Computing Practices, Vol.22, No.7, pp.338-343, Jul 2016.


- Domestic Conference (South Korea)

    • 박동현, 박용규, 장부루, 백진헌, 강재우 "음식의 재료들을 고밀도 벡터 공간상 화학적 조합으로 임베딩 하기위한 방법론", KCC 한국정보과학회 2018년 하계학술대회, Jun 20-22 2018. (포스터발표, 우수논문선정)
    • 박동현, 김성순, 최용화, 강재우 "기계 이해의 학습을 위한 새로운 데이터셋의 제안", 한국멀티미디어학회 2016 추계학술대회, Oct 21-22 2016. (구두발표)
    • 이성운, 김성순, 박동현, 강재우 "크라우드소싱 기반 문장재구성 방법을 통한 의견 스팸 데이터셋 생성 및 특성 분석", KCC 한국정보과학회 2015년 동계학술대회, Dec 17-19 2015. (구두발표, 우수논문선정)


- Challenges Attended

    • Challenge 1st Place Winner, Team DMIS-MTD, DREAM multi-targeting drug challenge 2018. (Invited by DREAM-RECOMB conference, which is to be held this year in New York Dec. 8-10.)