I am a 3rd 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 and information diffusion. I apply data science methods including causal inference, network analysis, natural language processing, and machine learning, to measure, understand, and promote creativity and innovation in various domains, such as science, art, and organization.
- Gendered Citation Patterns Among the Scientific Elite [PNAS, Link] Kristina Lerman, Yulin Yu, Fred Morstatter, Jay Pujara
- Novelty in what sense? Heterogeneous relationships between novelty and popularity in music [ICWSM 2023 (upcoming), IC2S2 2021, Special Recognition Award] Yulin Yu, Ben Cheung, Yong-Yeol Ahn, Paramveer Dhillon [arXiv]
- Unpacking Gender Stereotypes in Film Dialogue [SocInfo'22(upcoming)] Yulin Yu, Yucong Hao, Paramveer Dhillon
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.