Russell Lee

According to our database, Russell Lee authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Online Search with Predictions: Pareto-optimal Algorithm and its Applications in Energy Markets.

Russell Lee, Bo Sun, Mohammad Hajiesmaili, John C. S. Lui

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

2023

Applied Online Algorithms with Heterogeneous Predictors.

Jessica Maghakian, Russell Lee, Mohammad Hajiesmaili, Jian Li, Ramesh K. Sitaraman, Zhenhua Liu

Proceedings of the International Conference on Machine Learning, 2023

2022

Pareto-Optimal Learning-Augmented Algorithms for Online k-Search Problems.

Russell Lee, Bo Sun, John C. S. Lui, Mohammad H. Hajiesmaili

CoRR, 2022

2021

Competitive bidding strategies for online linear optimization with inventory management constraints.

Russell Lee, Yutao Zhou, Lin Yang, Mohammad H. Hajiesmaili, Ramesh K. Sitaraman

Perform. Evaluation, 2021

Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems.

Bo Sun, Russell Lee, Mohammad H. Hajiesmaili, Adam Wierman, Danny H. K. Tsang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Peak-Aware Energy Scheduling with Untrusted Advice.

Russell Lee, Jessica Maghakian, Mohammad H. Hajiesmaili, Jian Li, Ramesh K. Sitaraman, Zhenhua Liu

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Leveraging Different Types of Predictors for Online Optimization (Invited Paper).

Jessica Maghakian, Russell Lee, Mohammad H. Hajiesmaili, Jian Li, Zhenhua Liu, Ramesh K. Sitaraman

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2019

Learning-Assisted Competitive Algorithms for Peak-Aware Energy Scheduling.

Russell Lee, Mohammad H. Hajiesmaili, Jian Li

CoRR, 2019