My research interests lie in the fields of Machine Learning and Artificial Intelligence.

I joined Trendalytics Innovation Labs Inc as a research intern in summer 2015. I worked at Visa Research as a Research Scientist intern in spring 2018.

Publications

Referred Conferences/Workshops

  • Yusan Lin, Peifeng Yin, Wang-Chien Lee, Modeling Dynamic Market Competition on Crowdfunding, IW3C2 The Web Conference (WWW 18), 2018 [paper]
  • Yusan Lin, Peifeng Yin, Wang-Chien Lee, Modeling Menu Bundle Designs of Crowdfunding Projects, 26th ACM Conference on Information and Knowledge Management (CIKM 17), 2017 [paper]
  • 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 [paper]
  • 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 [paper]
  • 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]

Talks

  • Keynote: Artificial Intelligence in Fashion, Fashion Technology Week New York, New York, September 2018
  • 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]

Sessions

  • When Fashion Meets Markeing Science, INFORMS Marketing Science, Philadelphia, June 2018

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!

  • Women Data Leaders, KDD Impact Progres, April 2018
  • 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]
  • The Amazing Women Who Have Inspired Us This Year, December 2016 [article]
  • Teen Vogue: Meet the Fashion Data Analyst Working to Predict the Next Big Trend, December 2016 [article]
  • This Girl Chose to be Someone Who Can Do Both, November 2016 [article]
  • Data Skeptic: Measuring the Influence of Fashion Designers, hosted by Kyle Polich [iTunes PodCast] [webpage]
  • Selected participation: Deep Learning & Reinforcement Learning Summer School, CIFAR Vector Institute, 2018
  • 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)
  • System, Method, and Computer Program Product for Predicting User Preference of Items in an Image (with Maryam Moosaei, Reference number: 2957US01), 2018

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.

You can find my portfolio here.

  • 2012 - 2018, Ph.D., Computer Science and Engineering, The Pennsylvania State University, USA
  • 2008 - 2012, B.S., Computer Science and Information Engineering, National Central University, Taiwan
Contact

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