I am a 4th year PhD student in School of Information at University of Michigan, where I am advised by Prof.Daniel Romero. My research interest is broadly in computational social science, information diffusion, and innovation. I use big data, network science, causal inference , and computational methods to explore the theme of generation and diffusion of Innovation. Currently, I am particularly intrigued by how datasets can have both positive and negative effects on scientific innovation and its broader impact.
My PhD journey began with investigating this theme across diverse settings such as the impact of steaming culture on the consumption of unique music, recognition of scientific innovation between elite male and female scientists, and the silo network of remote work. These studies unveiled how modern factors like AI, social biases, and unexpected events(e.g remote work) reshape the creation and spread of innovative ideas. Today, I focus on how modern culture influences creativity, particularly in Science of Science. Through my research, I aim to achieve two main objectives: 1) Identify key scientific research practices for advancing innovation's impact. 2) Uncover how environmental factors shape scientific novelty. My work seeks to decode the interplay between human ingenuity, technology, and society, contributing to scientific advancement and understanding novelty's emergence.
- Gendered Citation Patterns Among the Scientific Elite [Proceedings of the National Academy of Sciences (PNAS) 119 (40), e2206070119, 2022] [Link] [Poster] Kristina Lerman, Yulin Yu, Fred Morstatter, Jay Pujara
- Large-Scale Analysis of New Employee Network Dynamics [WWW '23: Proceedings of the ACM Web Conference 2023, ] [Link] [Slide] Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan
- Novelty in what sense? Heterogeneous relationships between novelty and popularity in music [ICWSM'23: Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, IC2S2 2021, Special Recognition Award] Yulin Yu, Ben Cheung, Yong-Yeol Ahn, Paramveer Dhillon [Link] [Slide]
- For more please see CURRICULUM VITAE
Honors and Awards
- PhD research intern : Microsoft / Microsoft Research / Office of Applied Research Mentor: Dr. Mengting Wan @2022.5-2022.8
- PhD research intern : USC Information Sciences Institute
Mentor: Dr. Kristina Lerman @2021.5-2021.8
- SI 671/721 Data Mining @ Fall 2019 [75 students] @ Fall 2021 [93 students]
- SI 630 Natural Language Processing @ Spring 2020 [76 students]
- Applied Machine Learning [Online]
Art motivates creativity in research! I am a classical trained mezzo soprano. You can visit my performances at my Youtube Channel . I am also interested in visual art in general. For other artsy stuffs I did, please visit my undergrad life pages .
I am also a big fan of outdoor activities such as: hiking and scuba diving, and I love national park.