Yusan Lin
Staff Research Scientist
Research Areas: Artificial Intelligence
Dr. Yusan Lin joined Visa Research as a Research Scientist Intern in February 2018, and promoted to Staff Research Scientist. Yusan received her Ph.D. in Computer Science and Engineering from The Pennsylvania State University in 2018, and received her B.S. in Computer Science and Information Engineering from National Central University in 2012. Prior to joining Visa, Yusan was a Research and Teaching Assistant at Penn State University, teaching database management systems, and a Data Scientist Intern at Trendalytics.
As a member of the Artificial Intelligence team, her research interests are in data science and artificial intelligence to understand human behavior and marketing problems, in particular with a special focus on quantitative fashion research. She has been featured in several interviews and media outlets, and featured on Women Data Leaders, a KDD-sponsored event. She has published 10 papers in several international conferences and journals, including The Web Conference (WEB), Advances in Social Network Analysis and Mining (ASONAM), Conference on Information and Knowledge Management (CIKM) and others.
Conferences
- Lin, Y., & Yang, H. (2019). Next-season Design Prediction on High-fashion Runway. ACM SIGKDD Workshop on AI for Fashion.
- Lin, Y., Moosaei, M., & Yang, H. (2019). Learning Personal Tastes in Choosing Fashion Outfits. IEEE Computer Vision and Pattern Recognition.
- Lin, Y., Yin, P., & Lee, W.-C. (2018). Modeling Dynamic Competition on Crowdfunding Markets. World Wide Web Conference.
- Lin, Y., Yin, P., & Lee, W.-C. (2017). Modeling Menu Bundle Designs of Crowdfunding Projects. ACM Conference on Information and Knowledge Management.
- Lin, Y., & Wang, T. (2017). Dress Up Like a Stylist? Learning from a User-Generated Fashion Network. ACM SIGKDD Workshop on Machine Learning Meets Fashion.
- Lin, Y., Lee, W.-C., & Chang, C.-C. H. (2016). Analysis of rewards on reward-based crowdfunding platforms. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
- Chilet, J. A., Chen, C., & Lin, Y. (2016). 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.
- Lin, Y., Xu, H., Zhou, Y., & Lee, W.-C. (2015). Styles in the Fashion Social Network: An Analysis on Lookbook.nu. Social Computing, Behavioral-Cultural Modeling, and Prediction, 356–361.
- Lin, Y., Zhou, Y., & Xu, H. (2015). Text-Generated Fashion Influence Model: An Empirical Study on Style.com. Hawaii International Conference on System Sciences.
- Lin, Y., Zhou, Y., & Xu, H. (n.d.). The Hidden Influence Network in the Fashion Industry Completed Research Paper. Workshop on Information Technologies and Systems.
- Yusan Lin, Maryam Moosaei, and Hao Yang, OutfitNet: Fashion Outfit Recommendation with Attention-Based Multiple Instance Learning, IW3C2 The Web Conference (WWW 20), 2020.