Hi, I'm Yixuan Liu. I'm currently a fourth-year PhD student in Network Science, Network Science Institute at Northeastern University, where I work in BarabasiLab. I study large-scale complex systems using causal inference, network analysis, and LLMs. My work develops interpretable, data-driven models that reveal hidden relational and causal patterns in computational social science.
Click here to view my research in detail. For publications, click here.
Unequal Scientific Recognition in the Age of LLMs
Yixuan Liu, Abel Elekes, Jianglin Lu, Rodrigo Dorantes-Gilardi, Albert-László Barabási.
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), 2025.
Bingsheng Chen, Dakota Murray, Yixuan Liu, Albert-László Barabási
Jianglin Lu, Yixuan Liu, Yitian Zhang, Yun Fu
The Thirteenth International Conference on Learning Representations (ICLR), 2025.
Yixuan Liu, Yifang Ma
(Dec., 2025) Our work about: The network structure of scientific criticism in the American Physical Society is presented at Complex Networks 2025 in Binghamton.
(Dec., 2025) Happy to be invited to speak at MIT Sensible City Lab about our work: The uneven impact of venues on creative careers.
(Nov., 2025) Happy to share our stories behind Constructing La Biennale at Biennale Architettura 2025. The article is now published at: 智能·自然·人工·集体; Biennale Architettura 2025: Intelligens. Natural. Artificial. Collective (summary of article here: open link).
(Nov., 2025) Happy to give a talk at the November SNAC (Students, Networks and Collaboration) event at the Network Science Institute! Summary of the talk at: https://www.networkscienceinstitute.org/news/a-snac-with-yixuan-liu.
Conference reviewer: SIGKDD, IC2S2, ICSSI, NetSci; journal reviewer: Science, Plos One.