Yutong Xie
Biography
Yutong Xie is a Ph.D. candidate and Barbour Scholar at the University of Michigan School of Information, advised by Prof. Qiaozhu Mei. Her research spans AI behavioral science, AI for science, and AI for creativity, with publications in top-tier venues like PNAS, ICLR, NeurIPS, AAAI, WWW, and NAACL. Yutong actively engages in the academic community, co-organizing workshops on AI behavioral science and graph learning, and serves as a regular reviewer for conferences such as NeurIPS, ICML, AAAI, KDD, and WWW. Her research has been recognized with prestigious awards including the Rising Stars in EECS, University of Michigan Barbour Scholarship, Gary M. Olson Outstanding Ph.D. Student Award, and D. E. Shaw Research Graduate and Postdoctoral Women’s Fellowship. Her work is supported by fundings from NSF, LG Research, and Rackham Graduate School. She also collaborates with industry partners like Moblab, Niantic, and ByteDance. Prior to her doctoral studies at Michigan, Yutong earned her Bachelor’s degree from Shanghai Jiao Tong University as a member of the ACM Honors Class, where she was advised by Prof. Yong Yu and Prof. Weinan Zhang.
Pronouns
she/her
Areas of interest
AI Behavioral Science, AI for Science, AI for Creativity
Honors & Awards
Barbour Scholarship, 2024;
D. E. Shaw Research Graduate and Postdoctoral Women’s Fellowship, 2023;
UMSI Outstanding Graduate Student Instructor Award Nominee, University of Michigan, 2022;
Ph.D. Pre-candidacy Paper Passed with Distinction, University of Michigan, 2021;
Best Innovation Award, Bytedance AI Lab Computational Intelligence Tech Day, 2020
Education
University of Michigan, Ann Arbor, MI, USA Sep. 2020 – Present
Ph.D. Candidate in Information Science;
Shanghai Jiao Tong University, Shanghai, China Sep. 2016 – Jun. 2020
B.Eng. in Computer Science (Zhiyuan Honors Degree)
