Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization. - Runlong Zhou; Zelin He; Yuandong Tian; Yi Wu 013; Simon Shaolei Du (Trans. Mach. Learn. Res., 2023)

TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression. - Zelin He; Ying Sun; Runze Li (AISTATS, 2024)

AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression. - Zelin He; Ying Sun; Jingyuan Liu; Runze Li (CoRR, 2024)

TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression. - Zelin He; Ying Sun; Jingyuan Liu; Runze Li (CoRR, 2024)

The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency. - Xin Yu; Zelin He; Ying Sun; Lingzhou Xue; Runze Li (CoRR, 2024)

M2AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding. - Sarah Alnegheimish; Zelin He; Matthew Reimherr; Akash Chandrayan; Abhinav Pradhan; Luca D'Angelo (AISTATS, 2025)

Harnessing Vision-Language Models for Time Series Anomaly Detection. - Zelin He; Sarah Alnegheimish; Matthew Reimherr (CoRR, 2025)