Eliza X. Y. Hu

Email  /  Google Scholar  /  Github

Hi, I am currently a Postdoctoral Associate at the Department of Data and Systems Engineering at the University of Hong Kong (HKU), supervised by Prof. Max Shen and Prof. Shaochong Lin. Previously, I was a Postdoctoral Associate in the Department of Decisions, Operations and Technology at The Chinese University of Hong Kong (CUHK), supervised by Prof. Zhi Chen. I received my Ph.D. in Computer Science and Engineering from CUHK, advised by Prof. Jimmy H. M. Lee.

My research lies at the intersection of AI and Optimization, focusing on developing machine learning methods for decision-making and solving complex real-world optimization problems. I have published 10+ papers in top-tier conferences and journals, including oral and spotlight presentations, and serve as an Area Chair (AC) for ICLR and ICML. My research spans:

profile photo
  • Decision-Focused Learning (Predict+Optimize). Developing learning frameworks that directly optimize downstream decision quality, integrating machine learning with mathematical optimization under unknown objective and constraint parameters, discrete decisions, and multi-stage information revelation.
  • Causal Learning and Decision Calibration. Developing causal calibration methods that leverage limited experimental data and observational information to improve prediction reliability under hidden confounding and partial experimental coverage, and translate causal corrections into better optimization decisions.
  • Exogenous-Aware Time Series Forecasting. Developing data-driven forecasting methods that capture periodic patterns, external events, and heterogeneous temporal dynamics, with applications to demand forecasting and complex spatiotemporal systems.
  • Contextual and Stochastic Optimization. Integrating contextual prediction with risk- and cost-aware optimization to support resource allocation and operational decisions under demand uncertainty and asymmetric business costs.

Major Publications

Other Publications

Selected Awards

  • Student Stipends, CPAIOR, 2023
  • Student Scholarship and Volunteer Program, AAAI, 2023
  • Scholar Award, NeurIPS, 2022 & 2023
  • Leader of Excellent Project of the National Undergraduate Innovation and Entrepreneurship Training Program, Ministry of Education of China, 2018
  • National Scholarship (highest honor in China), Ministry of Education of China, 2017 & 2016
  • National Second prize, First prize in Guangdong Province in CUMCM (China Undergraduate Mathematical Contest in Modeling), China Society for Industrial and Applied Mathematics, 2017

Teaching Experience

    Teaching Assistant

  • CSCI3180: Principles of Programming Languages, 2020 Spring/2021 Spring/2022 Spring, CUHK
  • CSCI1540: Fundamental Computing with C++, 2019 Fall/2020 Fall, CUHK
  • ENGG1003: Digital Literacy and Computational Thinking, 2021 Fall/2022 Spring, CUHK


Thanks to Jon Barron for sharing the code of his personal webpage.