About me

Hi! I’m Xueqi Cheng, a Ph.D. student in Computer Science at Vanderbilt University, advised by Dr. Derr in the Network and Data Science (NDS) Lab.

Prior to joining Vanderbilt University, I received the B.S. degree from Southwest Jiaotong University, and the M.S. degree from University of Michigan, Ann Arbor.

Research

I am passionate about deep learning on complex graphs, out-of-distribution generalization, and imbalanced learning on graphs. Feel free to drop me an email if we have aligned interests, and I’m open to collaborations.

News

[11/2023] Invited to serve as the publicity chair of The 5th International Workshop on Machine Learning on Graphs (MLoG) at WSDM’24!
[10/2023] Our preprint A Topological Perspective on Demystifying GNN-Based Link Prediction Performance is now online!
[08/2023] Our preprint A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications is now online!
[08/2023] Invited to serve as a PC member for IEEE workshop BigData CTA3 2023!
[08/2023] Awarded Vanderbilt Engineering Graduate Fellowship!
[07/2023] Our preprint Fairness and Diversity in Recommender Systems: A Survey is now online!
[05/2023] Excited to join NDS Lab supervised by Dr. Derr!