Shengwei (Arthur) Zhou 周晟炜
Room N21-5006c
State Key Laboratory in the Internet of Things for Smart City (IOTSC)
University of Macau
Taipa, Macau SAR
I'm currently a third-year Ph.D. student under the supervision of Prof. Xiaowei Wu in the State Key Laboratory in the Internet of Things for Smart City (IOTSC) at the University of Macau. Prior to my Ph.D. program, I worked as a Research Assistant in IOTSC, also under Prof. Wu’s guidance. My academic background includes an M.sc. degree from CUSP London at King's College London, where I finished my Master's dissertation under the supervision of Dr. Angus Roberts, and a B.Eng. degree in Urban-rural Planning from Wuhan University. With a diverse background in STEM, design, and social science, I bring a unique perspective to my research.
Research Interests
I am broadly interested in algorithmic game theory, theoretical computer science, and urban informatics. Currently, my research interests span various topics in fair allocation problems, online bipartite matching, and game theory.
News!
10, 2023. One paper on EFX allocations for chores is accepted by Artificial Intelligence (AIJ).
09, 2023. One paper on PROP allocations with subsidy is accepted by WINE 2023.
09, 2023. One paper on edge-weighted online stochastic matching is accepted by WINE 2023.
08, 2023. We successfully organized IJTCS-FAW 2023 in Macau and I presented one work on weighted EF1 allocation.
08, 2023. Just got into my third year of Ph.D.!
07, 2023. Participated in ICML 2023 and presented a poster in Hawaii!
07, 2023. Participated in EC 2023 and presented our work in London!
05, 2023. One paper on weighted EF1 allocation is accepted by EC 2023.
04, 2023. One paper on online MMS fair allocation is accepted by ICML 2023.
03, 2023. Successfully passed my Qualification Examination!
(* Asterisks denote alphabetical order of authors (why?).)
Approximately EFX Allocations for Indivisible Chores
Shengwei Zhou, Xiaowei Wu.
Artificial Intelligence (AIJ), Accepted 2024. A preliminary version appeared in IJCAI 2022.
One Quarter Each (on Average) Ensures Proportionality
* Jointed work with Xiaowei Wu and Cong Zhang. In WINE 2023.
Weighted EF1 Allocations for Indivisible Chores
* Jointed work with Xiaowei Wu and Cong Zhang. In EC 2023.
Multi-agent Online Scheduling: MMS Allocations for Indivisible Items
Shengwei Zhou, Rufan Bai, Xiaowei Wu. In ICML 2023.
Academic Experience
04.2021-07.2021, Research Assistant.
State Key Laboratory in the Internet of Things for Smart City (IOTSC) at the University of Macau.
Supervisor: Prof. Xiaowei Wu.
Before I took myself into computer science, I also had a strong interest in urban social research and urban design, and some outstanding design and research projects are displayed on the Urban Design Projects page.