Long Zhao

Publications:

  1. Zhi Chen, Long Zhao. Combining Forecasts from Multiple Experts for Multiple Variables
    2. Accepted by Management Science
  2. Guowei Zhang, Ning Jia, Ning Zhu, Long Zhao, Qiao-Chu He. Hybrid fleet management and vehicle repositioning in mobility-as-a-service operations
    3. Production and Operations Management 35, no. 5 (2026): 1648-1667.
  3. Li Chen, Melvyn Sim, Xun Zhang, Long Zhao, Minglong Zhou. Robust Actionable Prescriptive Analytics
    4. Operations Research 74, no. 1 (2026): 550-571.
  4. Wanshu Nie, Sujay V. Kumar, Long Zhao. Anthropogenic Influences on the Water Cycle Amplify Uncertainty in Drought Assessments
    5. One Earth 8, no. 2 (2025)
  5. Wanshu Nie, Sujay V. Kumar, Augusto Getirana, Long Zhao, Melissa L. Wrzesien, Goutam Konapala, Shahryar Khalique Ahmad, Kim A.Locke, Thomas R. Holmes, Matthew Rodell, Bryant D. Loomis. Nonstationarity in the global terrestrial water cycle and its interlinkages in the Anthropocene
    6. Proceedings of the National Academy of Sciences 121, no. 45 (2024): e2403707121.
  6. Long Zhao, Deepayan Chakrabarti, Kumar Muthuraman. Portfolio Construction by Mitigating Error Amplification: The Bounded-Noise Portfolio
    7. Operations Research 67, no. 4 (2019): 965-983.
    Finalist in INFORMS Finance Section Best Student Paper Competition 2017.

Working Papers:

  1. Zhi Chen, Qingyin Ge, Xiaochuan Pang, Long Zhao. Why Can Pooled Forecast Aggregation with Many Parameters Substantially Outperform Simple Averaging under Limited Data?
    2. Major Revision from Management Science.
  2. Xiaochuan Pang, Zhi Chen, Guowei Zhang, Long Zhao. Comparison of the Linear Opinion Pool and Stacking.
    3. Submitted to Operations Research after major revision.
  3. Guowei Zhang, Long He, Long Zhao, Ning Zhu. Data-Driven Distributional Robust Optimization with Incomplete Samples
    4. Reject and Resubmit by Operations Research.
  4. Melvyn Sim, Long Zhao, Minglong Zhou. A New Perspective on Supervised Learning via Robust Satisficing
    5. Working paper.
  5. Zhi Chen, Long Zhao. Constructing Quantiles via Forecast Errors: Theory and Empirical Evidence
    6. Working Paper
  6. Xinyu Hou, Zhi Chen, Long Zhao. Identifying the Expert with the Least Contribution in Forecast Aggregation.
    7. Working Paper
  7. Long Zhao, Rui Gao. Leveraging Latent Factors Using the Equally Weighted Portfolio
    8. Working Paper
  8. Wanshu Nie, Sujay V. Kumar, Junyu Chen, Long Zhao, Olya Skulovich, Jinwoong Yoo, Justin Pflug, Shahryar Khalique Ahmad, Goutam Konapala. Nonstationaristy Limits Machine Learning Skill for Global Terrestrial Water Storage Prediction: Evidence from Land Data Assimilation Benchmarks
    9. Working Paper

Research in Progress

  1. Fuqing Li, Zhi Chen, Long Zhao. Enhancing forecast aggregation with side information about experts.
  2. Fuqing Li, Zhi Chen, Junnan Wang, Long Zhao. Quantile forecast aggregation in the modern regime.
  3. Leping Tu, Zhi Chen, Long Zhao. Enhance forecast aggregation of active experts using a retired expert.

Google Scholar

longzhao@nus.edu.sg

15 Kent Ridge Dr, BIZ1 8-61, Singapore 119245