Zelin He

According to our database, Zelin He authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning.

Zelin He, Boran Han, Xiyuan Zhang, Shuai Zhang, Haotian Lin, Qi Zhu, Haoyang Fang, Danielle C. Maddix, Abdul Fatir Ansari, Akash Chandrayan, Abhinav Pradhan, Yuyang Wang, Matthew Reimherr

CoRR, February, 2026

Harnessing Vision-Language Models for Time Series Anomaly Detection.

Zelin He, Sarah Alnegheimish, Matthew Reimherr

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

AquaVLM: A Domain-Specific Vision-Language Model for Structured Understanding of Oceanarium Scenes.

Baihao You, Jingheng Long, Longrui Zhang, Zelin He, Wenxi Wu, Ximing Li

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

AquaLite: Mobile-Oriented Lightweight Detector for Marine Organism Detection in Oceanariums.

Baihao You, Jingheng Long, Zelin He, Jiangsan Zhao, Ximing Li

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

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

TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression.

Zelin He, Ying Sun, Jingyuan Liu, Runze Li

CoRR, 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, Runze Li

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization.

Runlong Zhou, Zelin He, Yuandong Tian, Yi Wu, Simon Shaolei Du

Trans. Mach. Learn. Res., 2023