RESUME
Name: Hongshan JIN
E-mail: jhs@tkl.iis.u-tokyo.ac.jp; hongshan.kim@gmail.com
Education
- School/educational institution name: Beijing University of Posts and Telecommunications
- Dates of attendance: 2009/09 ~ 2013/06
- Degree: Bachelor of Engineering (degree received in 06, 2013)
- Major: Computer science
- School/educational institution name: The University of Tokyo
- Dates of attendance: 2013/10 ~ 2014/09 (Research Student)
2014/10 ~ 2016/09 (Master’s Course)
2016/10 ~ 2022/03 (Doctoral Couse)
- Degree: Master of Information Science and Technology (degree received in 08, 2016)
- Major: Information and Communication Engineering
- Thesis topic/research focus: My research topic is “Characterization and detection of influential cross-lingual information diffusion on social networks”. In this research, we conducted a statistical analysis of the growth and language distribution of information cascades with a large-scale Twitter dataset. Based on this analysis, we propose a feature-based model to detect influential cross-lingual information cascades in the early stage.
Employment History
- Employer name: Institute of Industrial Science, The University of Tokyo (IIS)
- Dates of employment: 2022/04 ~ present
- Job title: Researcher
- Job description: Doing the research on social network analysis
- Employer name: Japan Society for the Promotion of Science (JSPS)
- Dates of employment: 2019/04 ~ 2021/09
- Job title: JSPS research fellowship for young scientists (DC2: doctoral course students)
- Job description: Doing the research on information diffusion prediction on social networks specifically using the deep graph representation method to analyze and predict influential multilingual information diffusion on social network
- Employer name: Institute of Industrial Science, The University of Tokyo (IIS)
- Dates of employment: 2016/10 ~ 2019/03
- Job title: Research assistant
- Job description: Doing the research on information diffusion prediction on social networks specifically analyzing multilingual information diffusion and predicting this information diffusion on social network
- Employer name: Microsoft Development Japan (MSD)
- Dates of employment: 2015/07 ~ 2015/08
- Job title: Program manager intern
- Job description: Designing new features for "Cortana" - a virtual assistant developed by Microsoft and developing new features for "Cortana" using "Beacon"
- Employer name: Tsinghua University IAR Lab
- Dates of employment: 2012/08 ~ 2013/06
- Job title: Data analyst intern
- Job description: Analyzing the data on Sina weibo, modeling the users' interests based on following relationship, user generated posts and replys
Awards
- JSPS research fellowship for young scientists (2019/04)
- Bifunokai scholarships (2018/02)
- DEIM 2017 student presentation award (2017/03)
- JASSO scholarships (2015/10)
- University scholarships (2012/07; 2011/07; 2010/07)
Language Skills
- Korean: Native level (S-TOPIK Level 6)
- English: Business level (CET 6; TOEFL: 84)
- Japanese: Business level (JLPT N1)
- Program languages: C, C++, Java, Python, R, PHP, SQL, Javascript etc.
Publications
- Hongshan JIN, and Masashi TOYODA. "Cross-lingual Information Diffusion in Twitter." Technical Report of Database System (DBS) 2015.12 (2015): 1-6.
- Hongshan JIN, and Masashi TOYODA. "Analysis of Growing Cross-lingual Cascades on Twitter." the 8th Forum on Data Engineering and Information Management(DEIM 2016)
- Hongshan JIN, and Masashi TOYODA. " Predicting Influential Cross-lingual Information Cascades on Twitter." the 9th Forum on Data Engineering and Information Management (DEIM 2017)
- Hongshan JIN. "Detection and Characterization of Influential Cross-lingual Information Diffusion on Social Networks" Proceedings of the 26th international conference on World Wide Web, 2017
- Hongshan JIN, Masashi TOYODA, and Naoki YOSHINAGA. "Can Cross-Lingual Information Cascades Be Predicted on Twitter?." International Conference on Social Informatics. Springer, Cham, 2017.
- Shohei HISAMITSU, Sho CHO, Hongshan JIN, Masashi TOYODA, Naoki YOSHINAGA. "Diachronic Analysisof Users' Stances on COVID-19 Vaccination in Japan using Twitter" The 2022 IEEE/ACMInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM 2022), 2022.11
Conferences
- DE 2015 (Technical committee on data engineering): Oral presentation
- DEIM 2016 (the 8th forum on data engineering and information management): Oral presentation
- DEIM 2017 (the 9th forum on data engineering and information management): Oral & poster presentation
- WWW 2017 (the 26th international conference on World Wide Web): Oral presentation
- YANS 2017 (the 12th symposium on young researcher association for NLP studies): Poster presentation
- SocInfo 2017 (International conference on social informatics): Oral presentation
- AUAPUA 2018 (Asian universities alliance postgraduate academic forum): Oral presentation
- Yuelu Forum 2018 (Yuelu international young scholars Forum): Oral presentation
- ASONAM 2022 (the 2022 IEEE/ACMInternational Conference on Advances in Social Networks Analysis and Mining): Presentation