I was born in Hsinchu, Taiwan and I went to National Hsinchu Girls' Senior High School for an engineering education. I left Hsinchu to pursue a Bachelor degree in Computer Science and Information Engineering at National Central University (NCU). While studying at NCU, I also worked as a freelance model, and was offered a modeling contract. However, due to my determination to pursue further study in the United States, I turned down the contract and began my Ph.D. studies in 2012.

I'm currently a Ph.D. candidate in the Department of Computer Science and Engineering at The Pennsylvania State University, and I'm undertaking research with Dr. Wang-Chien Lee in iPDA lab.

I have gained experience teaching the following courses:

  • Teaching Assitant
    • CMPSC 431W Database Management (Spring 2015)
    • CMPSC 465 Data Structures and Algorithms (Fall 2014)
    • CMPSC 122 Advanced Programming in C++ (Spring 2013)
    • CMPSC 101 Introduction to Programming in C++ (Fall 2012)
  • Instructor
    • CMPSC 431W Database Management Systems (Fall 2015, Spring 2016, Fall 2016) [course website]
      • Received 6.7/7 student evaluation
    • Girlz Digital World: Fashion and Design in the Digital World (Summer 2013)

I recorded and uploaded one semester of my lectures on this YouTube channel. Feel free to browse and subscribe!

My research interests lie in the fields of Data Mining (Text Mining, in particular), Natural Language Processing, and Social Network Analysis. I have combined my knowledge in these fields with my outside interests to form my current research topics, thanks to my wonderful adviser, mentors, and collaborators.

I am a member of the iPDA research group, supervised by Dr. Wang-Chien Lee. I am also in charge of the Big Data team in iPDA, working on projects through Big Data approaches (we embrace Hadoop and Spark).

I joined Trendalytics Innovation Labs Inc as a research intern in summer 2015.

Publications

Referred Conferences/Workshops

  • Yusan Lin, Peifeng Yin, Wang-Chien Lee, Modeling Menu Bundle Designs of Crowdfunding Projects, 26th ACM Conference on Information and Knowledge Management (CIKM 17), Singapore, Nov. 2017 (to appear)
  • Yusan Lin, Tawei Wang, Dress Up Like a Stylist? Learning from A User-Generated Fashion Network, 20th ACM SIGKDD Workshop on Machine Learning Meets Fashion (KDD 17), 2017 (to appear)
  • Yusan Lin, Chung-Chou H. Chang and Wang-Chien Lee, Analysis of Rewards on Reward-Based Crowdfunding Platforms, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 16), 2016
  • Jorge Alé Chilet, Cuicui Chen, Yusan Lin, Analyzing Social Media Marketing in the High-End
    Fashion Industry Using Named Entity Recognition
    , IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Multidisciplinary Track (ASONAM 16), 2016
  • Yusan Lin, Heng Xu, Yilu Zhou, Wang-Chien Lee, Styles in the Fashion Social Network: An Analysis on Lookbook.nu, International Social Computing, Behavioral Modeling and Prediction Conference (SBP15), 2015 [paper]
  • Yusan Lin, Yilu Zhou, Heng Xu, Text-Generated Fashion Influence Model: An Empirical Study on Style.com, Hawaii International Conference on System Sciences, 2015 [paper] [slides] [ACM TechNews] [Penn State News]
  • Yusan Lin, Yilu Zhou, Heng Xu, The Hidden Influence Network in the Fashion Industry, 24th Workshop on Information Technologies and Systems, 2014 [paper]

Professional Talks

  • Fashion Meets Data Science, Fashion Technology Week New York, at 5th Avenue Microsoft Flagship Store, New York, 2017
  • Understanding the Importance of Rewards on Reward-Based Crowdfunding Platforms, Penn State University Graduate Exhibition, March, 2016
  • Styles in the Fashion Social Network: An Analysis on Lookbook.nu, INFORMS 2014, November, 2014 [poster]
  • Fashionology: A Textual Analysis Approach of Understanding Innovativeness and Influence of Fashion Trends, INFORMS 2014 Marketing Science Conference, June, 2014
  • Fashionology: A Textual Analysis Approach of Understanding the Fashion Industry, Penn State University Graduate Exhibition, April, 2014 [poster]
  • TechOrange: 【台灣最美資料科學家】專訪林郁珊: 美國資工學生不只在意分數,更會思考如何學以致用, December 2016 [article]
  • Teen Vogue: Meet the Fashion Data Analyst Working to Predict the Next Big Trend, December 2016 [article]
  • Data Skeptic: Measuring the Influence of Fashion Designers, hosted by Kyle Polich [iTunes PodCast] [webpage]
  • Research grant: Learning Latent Representations of Heterogeneous Information Networks (NSF IIS-1717084 ), National Science Foundation, with Wang-Chien Lee
  • Student Travel Grants, 2017 ACM Conference on Information and Knowledge Management (CIKM'17/SIGIR)
  • Research grant: Competition is Good? The Role of Competitive Actions on Fashion Social Network, University Research Council Competitive Research Grant, 2017, Kellstadt Graduate School of Business, DePaul University, with David Wang
  • Graduate Student Teaching Award, 2016, Department of Computer Science and Engineering, Penn State University
  • Research grant, 2016, The Institute for Quantitative Social Science (IQSS), Harvard University, with Cuicui Chen and Jorge Alé Chilet
  • Student Travel Award, 2015 International Social Computing, Behavioral-Cultural Modeling and Prediction Conference (SBP15)
  • Diversity Travel Award, 2014 International Social Computing, Behavioral-Cultural Modeling and Prediction Conference (SBP14)

I have worked as a freelance model in Taiwan since 2009. My work mainly involves photoshoots for fashion design, online shopping and creative collaboration with photographers. Starting from 2015, I am one of the faces of Charlene C.W.

You can find my portfolio here; direct booking can be done through the contact form below.

Contact

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