Ruilong Zhang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 15

Top Topics

Multiple Agents

Ranking Algorithm

Top Venues

Publications

Bo Li, Lijun Li, Minming Li, Ruilong Zhang
Public Event Scheduling with Busy Agents. CoRR (2024)
Shi Li, Chenyang Xu, Ruilong Zhang
Polylogarithmic Approximations for Robust s-t Path. ICALP (2024)
Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang
Sampling for Beyond-Worst-Case Online Ranking. AAAI (2024)
Christoph Damerius, Peter Kling, Minming Li, Chenyang Xu, Ruilong Zhang
Scheduling with a Limited Testing Budget. CoRR (2023)
Bo Li, Xiaowei Wu, Chenyang Xu, Ruilong Zhang
Multiagent MST Cover: Pleasing All Optimally via a Simple Voting Rule. AAAI (2023)
Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang
Min-Max Submodular Ranking for Multiple Agents. AAAI (2023)
Pinyan Lu, Chenyang Xu, Ruilong Zhang
Auction Design for Value Maximizers with Budget and Return-on-spend Constraints. CoRR (2023)
Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang
Online Dynamic Acknowledgement with Learned Predictions. INFOCOM (2023)
Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang
Online Dynamic Acknowledgement with Learned Predictions. CoRR (2023)
Pinyan Lu, Chenyang Xu, Ruilong Zhang
Auction Design for Value Maximizers with Budget and Return-on-Spend Constraints. WINE (2023)
Shi Li, Chenyang Xu, Ruilong Zhang
Polylogarithmic Approximation for Robust s-t Path. CoRR (2023)
Christoph Damerius, Peter Kling, Minming Li, Chenyang Xu, Ruilong Zhang
Scheduling with a Limited Testing Budget: Tight Results for the Offline and Oblivious Settings. ESA (2023)
Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang
Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms. ECML/PKDD (4) (2023)
Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang
Min-max Submodular Ranking for Multiple Agents. CoRR (2022)
Bo Li, Xiaowei Wu, Chenyang Xu, Ruilong Zhang
Multiagent MST Cover: Pleasing All Optimally via A Simple Voting Rule. CoRR (2022)