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Zelin He
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2020 – today
- 2025
[c5]Sarah Alnegheimish, Zelin He, Matthew Reimherr, Akash Chandrayan, Abhinav Pradhan, Luca D'Angelo:
M2AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding. AISTATS 2025: 4384-4392
[c4]Xin Yu, Zelin He, Ying Sun, Lingzhou Xue, Runze Li:
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees. ICML 2025
[c3]Baihao You, Jingheng Long, Zelin He, Jiangsan Zhao, Ximing Li:
AquaLite: Mobile-Oriented Lightweight Detector for Marine Organism Detection in Oceanariums. ICPADS 2025: 1-2
[c2]Baihao You, Jingheng Long, Longrui Zhang, Zelin He, Wenxi Wu, Ximing Li:
AquaVLM: A Domain-Specific Vision-Language Model for Structured Understanding of Oceanarium Scenes. ICPADS 2025: 1-2
[i5]Sarah Alnegheimish, Zelin He, Matthew Reimherr, Akash Chandrayan, Abhinav Pradhan, Luca D'Angelo:
M2AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding. CoRR abs/2504.15225 (2025)
[i4]Zelin He, Sarah Alnegheimish, Matthew Reimherr:
Harnessing Vision-Language Models for Time Series Anomaly Detection. CoRR abs/2506.06836 (2025)- 2024
[c1]Zelin He, Ying Sun, Runze Li:
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression. AISTATS 2024: 703-711
[i3]Zelin He, Ying Sun, Jingyuan Liu, Runze Li:
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression. CoRR abs/2403.13565 (2024)
[i2]Zelin He, Ying Sun, Jingyuan Liu, Runze Li:
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression. CoRR abs/2404.01153 (2024)
[i1]Xin Yu, Zelin He, Ying Sun, Lingzhou Xue, Runze Li:
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency. CoRR abs/2410.08934 (2024)- 2023
[j1]Runlong Zhou, Zelin He, Yuandong Tian, Yi Wu, Simon Shaolei Du:
Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization. Trans. Mach. Learn. Res. 2023 (2023)
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