Publications

Google Scholar

2026

  1. Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift
    Zhiyuan Zhao, Haoxin Liu, and B Aditya Prakash
    International Conference on Learning Representations, 2026
  2. TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness
    Zhiyuan Zhao, Juntong Ni, Shangqing Xu, and 3 more authors
    International Conference on Learning Representations, 2026

2025

  1. Modular Deep-Learning-Based Early Warning System for Deadly Heatwave Prediction
    Shangqing Xu, Zhiyuan Zhao, Megha Sharma, and 4 more authors
    arXiv preprint arXiv:2512.09074, 2025
  2. A Framework for Multi-source Privacy Preserving Epidemic Analysis
    Zihan Guan, Zhiyuan Zhao, Fengwei Tian, and 5 more authors
    arXiv preprint arXiv:2506.22342, 2025
  3. Tat: Temporal-aligned transformer for multi-horizon peak demand forecasting
    Zhiyuan Zhao, Sitan Yang, Kin G Olivares, and 5 more authors
    KDD 2025 Workshop on AI for Supply Chain: Today and Future, 2025
  4. How can time series analysis benefit from multiple modalities? a survey and outlook
    Haoxin Liu, Harshavardhan Kamarthi, Zhiyuan Zhao, and 6 more authors
    arXiv preprint arXiv:2503.11835, 2025
  5. Evaluating system 1 vs. 2 reasoning approaches for zero-shot time series forecasting: A benchmark and insights
    Haoxin Liu, Zhiyuan Zhao, Shiduo Li, and 1 more author
    arXiv preprint arXiv:2503.01895, 2025
  6. Performative Time-Series Forecasting
    Zhiyuan Zhao, Haoxin Liu, Alexander Rodriguez, and 1 more author
    Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
  7. A Framework for Multi-source Privacy Preserving Epidemic Analysis
    Zihan Guan, Zhiyuan Zhao, Fengwei Tian, and 5 more authors
    arXiv preprint arXiv:2506.22342, 2025

2024

  1. Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis
    Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, and 8 more authors
    Neural Information Processing Systems Datasets and Benchmarks Track, 2024
  2. TSI-Bench: Benchmarking Time Series Imputation
    Wenjie Du, Jun Wang, Linglong Qian, and 8 more authors
    arXiv preprint arXiv:2406.12747, 2024
  3. Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
    Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, and 3 more authors
    International Conference on Machine Learning, 2024
  4. Title evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations
    Sarabeth M Mathis, Alexander E Webber, Tomás M León, and 8 more authors
    Nature communications, 2024
  5. LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
    Zhiyuan Zhao, Haoxin Liu, Jindong Wang, and 2 more authors
    Findings of the Association for Computational Linguistics, 2024
  6. PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
    Zhiyuan Zhao, Xueying Ding, and B Aditya Prakash
    International Conference on Learning Representations, 2024
  7. A closer look at reinforcement learning-based automatic speech recognition
    Fan Yang, Muqiao Yang, Xiang Li, and 4 more authors
    Computer Speech & Language, 2024

2022

  1. A dynamic reweighting strategy for fair federated learning
    Zhiyuan Zhao, and Gauri Joshi
    In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

2021

  1. Physics Informed Machine Learning with Misspecified Priors: An analysis of Turning Operation in Lathe Machines
    Zhiyuan Zhao, Xueying Ding, Gopaljee Atulya, and 2 more authors
    In AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM), 2021

2018

  1. Detecting malicious websites in depth through analyzing topics and web-pages
    Senhao Wen, Zhiyuan Zhao, and Hanbing Yan
    In Proceedings of the 2nd International Conference on Cryptography, Security and Privacy, 2018