Zelin He

5 papers · 2024–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

AISTATS (2) AAAI (1) ICML (1) JMLR (1)

Top co-authors

Ying Sun (3) Runze Li (3) Matthew Reimherr (2) Sarah Alnegheimish (2) Xin Yu (1) Abhinav Pradhan (1) Akash Chandrayan (1) Lingzhou Xue (1) Luca D’Angelo (1) Jingyuan Liu (1)

Research topics

Artificial Intelligence (4) Machine Learning (4) Deep Learning (3) Learning Types · Machine Learning (3) Optimization & Theory (3) Application Areas (2) Core AI (2) Learning Paradigms (2) Learning Types · Deep Learning (2) Data Science & Analytics (1) Architectures (1) Methods (1)

Keywords

minimax optimality (2) fused regularizer (2) anomaly detection (1) time series anomaly detection (1) distributed learning (1) high-dimensional estimation (1) covariate shift (1) high-dimensional regression (1) distribution shift (1) distributed estimation (1) multivariate time series (1) gaussian mixture model (1) vision-language model (1) vision encoder (1) communication cost (1) statistical accuracy (1) model estimation (1) global model (1) personalized federated learning (1) parameter transfer (1)

Papers

Harnessing Vision-Language Models for Time Series Anomaly Detection AAAI 2026 High-dimensional Parameter Transfer With Fused-Regularizer JMLR 2026 M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding AISTATS 2025 Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees ICML 2025 TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression AISTATS 2024