Ruilong Zhang

Affiliations:
  • University at Buffalo - North Campus, Department Computer Science and Engineering, Amherst, NY, USA
  • City University of Hong Kong, Department of Computer Science, Hong Kong (PhD 2022)


According to our database1, Ruilong Zhang authored at least 16 papers between 2018 and 2024.

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Bibliography

2024
Sampling for Beyond-Worst-Case Online Ranking.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Scheduling with a Limited Testing Budget.
CoRR, 2023

Polylogarithmic Approximation for Robust s-t Path.
CoRR, 2023

Auction Design for Value Maximizers with Budget and Return-on-Spend Constraints.
Proceedings of the Web and Internet Economics - 19th International Conference, 2023

Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Online Dynamic Acknowledgement with Learned Predictions.
Proceedings of the IEEE INFOCOM 2023, 2023

Scheduling with a Limited Testing Budget: Tight Results for the Offline and Oblivious Settings.
Proceedings of the 31st Annual European Symposium on Algorithms, 2023

Multiagent MST Cover: Pleasing All Optimally via a Simple Voting Rule.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Min-Max Submodular Ranking for Multiple Agents.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Online scheduling of parallelizable jobs in the directed acyclic graphs and speed-up curves models.
Theor. Comput. Sci., 2022

A note on the online interval scheduling secretary problem.
Oper. Res. Lett., 2022

2021
Fair Allocation with Interval Scheduling Constraints.
CoRR, 2021

Fair Scheduling for Time-dependent Resources.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Minimizing the cost of batch calibrations.
Theor. Comput. Sci., 2020

Improved Scheduling with a Shared Resource via Structural Insights.
Proceedings of the Combinatorial Optimization and Applications, 2020

2018
Imbalanced Networked Multi-label Classification with Active Learning.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018


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