Eliza X. Y. Hu I am currently a Postdoctoral Associate in the Department of Decisions, Operations and Technology, CUHK Business School, The Chinese University of Hong Kong, under the supervision of Prof. Zhi Chen. I obtained my Ph.D. degree in the Department of Computer Science and Engineering, The Chinese University of Hong Kong, supervised by Prof. Jimmy H. M. Lee. Before that, I obtained my B.E. degree in 2019 from the Department of Computer Science and Engineering, South China University of Technology. My research interests center around the integration of machine learning and optimization. During my Ph.D. study, I focused on Predict+Optimize, a particular framework of data-driven optimization, tackling optimization problems (OPs) involving unknown parameters, which require predictions from machine learning models prior to solving. The primary challenge is the seamless integration of OPs into the machine learning training loop to produce high-quality solutions under real parameters. Email  /  Github

Major Publications

• Multi-Stage Predict+Optimize for Mixed Integer Linear Programs
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee, Peter J. Stuckey
[NeurIPS 2024] Advances in Neural Information Processing Systems 37

• Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints
[paper] [supplement] [code] [video] [poster]
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
[NeurIPS 2023] Advances in Neural Information Processing Systems 36

• Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints
[paper] [arxiv] [code] [slides]
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
[CPAIOR 2023] Proceedings of the 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research

• Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints
[paper] [supplement] [code] [video] [poster]
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
[AAAI 2023] Proceedings of the AAAI Conference on Artificial Intelligence (Oral)

• Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize
[paper] [supplement] [code] [video] [poster]
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong
[NeurIPS 2022] Advances in Neural Information Processing Systems 35

Other Publications

• CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
Shengsheng Lin, Weiwei Lin, Xinyi Hu, Wentai Wu, Ruichao Mo, Haocheng Zhong
[NeurIPS 2024] Advances in Neural Information Processing Systems 37 (Spotlight)

• Correctional Regret for Predict+Optimize with Unknown Objectives and Constraints
[paper] [slides]
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong
[IJCAI 2022] IJCAI 2022 DSO Workshop: Data Science meets Optimisation

• Video Server Deployment Using a Genetic Algorithm with Deterministic Initialization Strategy
[paper]
Xinyi Hu, Yue-Jiao Gong, Xin-Yuan Zhang, Yi-Ning Ma, Jun Zhang
[ISNN 2018] International Symposium on Neural Networks

• Intelligent video content server deployment method and system
[Patent] China Invention Grant (No. CN108616401B), 2018

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