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_bibliography/papers.bib

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@article{zhao2025tackling,
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title={Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift},
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author={Zhao, Zhiyuan and Liu, Haoxin and Prakash, B Aditya},
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journal={International Conference on Learning Representations},
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year={2026},
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selected={true}
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}
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@article{zhao2025timerecipe,
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title={TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness},
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author={Zhao, Zhiyuan and Ni, Juntong and Xu, Shangqing and Liu, Haoxin and Jin, Wei and Prakash, B Aditya},
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journal={arXiv preprint arXiv:2506.06482},
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journal={International Conference on Learning Representations},
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year={2026},
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selected={true}
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}
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@article{xu2025modular,
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title={Modular Deep-Learning-Based Early Warning System for Deadly Heatwave Prediction},
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author={Xu, Shangqing and Zhao, Zhiyuan and Sharma, Megha and Mart{\'\i}n-Olalla, Jos{\'e} Mar{\'\i}a and Rodr{\'\i}guez, Alexander and Wellenius, Gregory A and Prakash, B Aditya},
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journal={arXiv preprint arXiv:2512.09074},
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year={2025}
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}
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@article{guan2025framework,
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title={A Framework for Multi-source Privacy Preserving Epidemic Analysis},
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author={Guan, Zihan and Zhao, Zhiyuan and Tian, Fengwei and Nguyen, Dung and Bhattacharjee, Payel and Tandon, Ravi and Prakash, B Aditya and Vullikanti, Anil},
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journal={arXiv preprint arXiv:2506.22342},
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year={2025}
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}
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