About me
I am currently a postdoc in Discrete Optimization Group at the Technical University of Munich, working with Prof. Andreas Wiese and Prof. Stefan Weltge.
Previously, I was a postdoc in the Department of Computer Science and Engineering at the University at Buffalo, where I was advised by Prof. Shi Li. Before that, I was a Ph.D. student in the Department of Computer Science at the City University of Hong Kong, where I was supervised by Prof. Minming Li. Before that, I was an undergrad in Computer Science and Technology at the Hefei University of Technology.
During my grad school and postdoc, I was a long-term visitor at Carnegie Mellon University, where I worked with Prof. Ben Moseley and Prof. Sungjin Im. I was also a short-term visitor in Theory Group at Nanjing University, in Prof. Xiaowei Wu’s group at the University of Macau, in Prof. Peter Kling’s group at the University of Hamburg.
Email: ruilongzhang.cn@gmail.com; ruilong.zhang@tum.de
Here is my DBLP.
Misc: I finally cannot join the University of Toronto because of a visa issue.
Research Interests
I am broadly interested in algorithm design and analysis for combinatorial optimization problems. More specifically, I study approximation and online algorithms for resource allocation, network design, and submodular optimization problems.
Publications
Per convention of the TCS community, authors of a paper in conference proceedings or journals have equal contributions and are sorted alphabetically.
Conferences:
- Constant Approximation for Weighted Nash Social Welfare with Submodular Valuations.
Yuda Feng, Yang Hu, Shi Li, Ruilong Zhang.
STOC 2025 - Resource-limited Network Security Games with General Contagious Attacks.
Rufan Bai, Chao Xu, Chenyang Xu, Ruilong Zhang.
COCOON 2024 - Public Events Scheduling with Busy Agents.
Bo Li, Lijun Li, Minming Li, Ruilong Zhang.
IJCAI 2024 - Polylogarithmic Approximations for Robust s-t Path.
Shi Li, Chenyang Xu, Ruilong Zhang.
ICALP 2024 - Sampling for Beyond-Worst-Case Online Ranking.
Qingyun Chen, Sungjin Im, Ben Moseley, Chenyang Xu, Ruilong Zhang.
AAAI 2024 - Auction Design for Value Maximizers with Budget Constraints and Return-on-spend Constraints.
Pinyan Lu, Chenyang Xu, Ruilong Zhang.
WINE 2023 - Scheduling with a Limited Testing Budget.
Christoph Damerius, Peter Kling, Minming Li, Chenyang Xu, Ruilong Zhang.
ESA 2023 - Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms.
Sungjin Im, Ben Moseley, Chenyang Xu, Ruilong Zhang.
ECML/PKDD 2023 - Online Dynamic Acknowledgement with Learned Predictions.
Sungjin Im, Ben Moseley, Chenyang Xu, Ruilong Zhang.
INFOCOM 2023 - Min-max Submodular Ranking for Multiple Agents.
Qingyun Chen, Sungjin Im, Ben Moseley, Chenyang Xu, Ruilong Zhang.
AAAI 2023 - Multiagent MST Cover: Pleasing All Optimally via A Simple Voting Rule.
Bo Li, Xiaowei Wu, Chenyang Xu, Ruilong Zhang.
AAAI 2023 - Fair Scheduling for Time-dependent Resources.
Bo Li, Minming Li, Ruilong Zhang.
NeurIPS 2021 - Improved Scheduling with a Shared Resource via Structural Insights.
Christoph Damerius, Peter Kling, Minming Li, Florian Schneider, Ruilong Zhang.
COCOA 2020 - Minimizing the Cost of Batch Calibrations.
Vincent Chau, Minming Li, Yinling Wang, Ruilong Zhang, Yingchao Zhao.
COCOON 2019
Journals:
- Scheduling with Calibrations for Multi-interval Jobs.
Vincent Chau, Christoph Damerius, Peter Kling, Minming Li, Florian Schneider, Ruilong Zhang.
INFORMS Journal on Computing (2025) - Online Scheduling of Parallelizable Jobs in the Directed Acyclic Graphs and Speed-up Curves Models.
Ben Moseley, Ruilong Zhang, Shanjiawen Zhao.
Theoretical Computer Science (2022) - A Note on the Online Interval Scheduling Secretary Problem.
Bo Li, Chenhao Wang, Ruilong Zhang.
Operations Research Letters (2022) - Minimizing the Cost of Batch Calibrations.
Vincent Chau, Minming Li, Yinling Wang, Ruilong Zhang, Yingchao Zhao.
Theoretical Computer Science (2020)
A preliminary version appears in COCOON 2019.
Last updated: Feb 13, 2025.