Meixiu Long | Sun Yat-sen University

About Meixiu Long (龙玫秀)

I am a fourth-year Ph.D. candidate at Sun Yat-sen Univerisity (SYSU), excepted to graduate in 2026, working under the mentorship of Prof. Jiahai Wang. Before this, I received my B.Eng. Degree from Chongqing University in June 2021.

My research lies at the intersection of graph representation learning and data mining – with a special focus on network alignment for information fusion. Meanwhile, I am interested in graph neural networks (GNNs), meta-learning, out-of-distribution generalization on graphs, explainability in GNNs.

Outside of academia, I like dancing, music and calligraphy.

Publications

ECML-PKDD

DegUIL: Degree-Aware Graph Neural Networks for Long-Tailed User Identity Linkage

Meixiu Long, Siyuan Chen, Xin Du, Jiahai Wang

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2023.

PDF Code Slide CCF B, Oral Presentation

IPM

Locally-adaptive Mapping for Network Alignment via Meta-learning

Meixiu Long, Siyuan Chen, Jiahai Wang

Information Processing and Management (IPM), 2024.

PDF Code SCI Q1, CCF B

Awards

[2023.10] The First-Class Scholarship for Graduate Students, Sun Yat-sen University.
[2021.01] Outstanding Graduate of Chongqing University.
[2020.10] National Scholarship for Encouragement (Top 6%).
[2019.12] First Prize of China Undergraduate Mathematical Contest in Modeling in Chongqing (Top 10%).
[2018-2021] Undergraduate Scholarship for 5 times (First-Class∗1, Second-Class∗3, Third-Class∗1).