How Is Uncertainty Propagated in Knowledge Distillation?
Ziyao Cui, Jian Pei
arXiv preprint; Under review at ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2026
Publications
For a full list of publications, see my Google Scholar page.
2026
On Membership Inference Attacks in Knowledge Distillation
Ziyao Cui, Minxing Zhang, Jian Pei
arXiv preprint; Under review at the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)
2025
Beyond the Laplacian: Interpolated Spectral Augmentation for Graph Neural Networks
Ziyao Cui, Edric Tam
arXiv preprint
Learning to Attack: Uncovering Privacy Risks in Sequential Data Releases
Ziyao Cui, Minxing Zhang, Jian Pei
arXiv preprint
Revisiting Broken Windows Theory
Ziyao Cui, Erick Jiang, Nicholas Sortisio, Haiyan Wang, Eric Chen, Cynthia Rudin
arXiv preprint
Publications in Preparation
Learning Graph Operators for Linear Node Regression
Ziyao Cui, Edric Tam
Expected February 2026; to be submitted to the Conference on Uncertainty in Artificial Intelligence (UAI) 2026
Bayesian Small Area Estimation of Inadequate Micronutrient Intake
Sahoko Ishida, Mohammed Aheed Osman, Ziyao Cui, Kevin Tang, Seth Flaxman
Expected February 2026; to be submitted to International Journal of Health Geographics
Normalization as a Modeling Choice in Spectral Graph Embeddings
Ziyao Cui, Edric Tam
Expected May 2026
FoodSat: Small Area Estimation for Food Security Analysis with Satellite Imagery
Ziyao Cui, Sahoko Ishida, Seth Flaxman
Expected June 2026