He, Zelin

5 publications

AISTATS 2025 M$^2$AD: 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

ICML 2025 Understanding the Statistical Accuracy-Communication Trade-Off in Personalized Federated Learning with Minimax Guarantees Xin Yu, Zelin He, Ying Sun, Lingzhou Xue, Runze Li

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

NeurIPSW 2024 Weakly-Supervised Multi-Sensor Anomaly Detection with Time-Series Foundation Models Zelin He, Matthew Reimherr, Sarah Alnegheimish, Akash Chandrayan

TMLR 2023 Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization Runlong Zhou, Zelin He, Yuandong Tian, Yi Wu, Simon Shaolei Du