Associate Professor
School of Computer Science and Technology
Harbin Institute of Technology, Shenzhen
Email: sxliu [at] hit [dot] edu [dot] cn
I am an associate professor at the School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen. Prior to this, I worked as a postdoc (hosted by Xiaohui Bei) at Nanyang Technological University and completed my PhD (advised by Minming Li) at The City University of Hong Kong.
My research focuses on computational economics (EconCS) and theoretical computer science (TCS). See DBLP for my full publication list.
Recently, I am interested in the fair division problem in which a set of resources is assigned to a set of agents in a fair manner. In particular, I aim at the generalizations of the classic fair division problem that capture real-world scenarios. Here are some representative papers that are proposed with my co-authors.
The resources to be allocated contain both divisible and indivisible goods.
Joint work with Xiaohui Bei, Zihao Li, Jinyan Liu, and Xinhang Lu
Fair Division of Mixed Divisible and Indivisible Goods
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020
Journal version: Artificial Intelligence (AIJ), 293:103436, 2021
AAAI-20 Outstanding Student Paper Award
[arXiv][AAAI][AIJ]
Joint work with Xiaohui Bei, Xinhang Lu, and Hongao Wang
Maximin Fairness with Mixed Divisible and Indivisible Goods
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021
Journal version: Autonomous Agents and Multi-Agent Systems (JAAMAS), 35(2): 34, 2021
[arXiv][AAAI][JAAMAS]
Joint work with Zihao Li, Xinhang Lu, and Biaoshuai Tao
Truthful Fair Mechanisms for Allocating Mixed Divisible and Indivisible Goods
In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2023
[arXiv][IJCAI]
Joint work with Xinhang Lu, Mashbat Suzuki, and Toby Walsh
Mixed Fair Division: A Survey
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Senior Member Track,
2024
Journal version: Journal of Artificial Intelligence Research (JAIR), 80:1373-1406, 2024
[arXiv][AAAI][JAIR]
Joint work with Zihao Li, Xinhang Lu, Biaoshuai Tao, and Yichen Tao
A Complete Landscape for the Price of Envy-Freeness
In Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2024
[arXiv][AAMAS]
Joint work with Bo Li, Zihao Li, and Zekai Wu
Allocating Mixed Goods with Customized Fairness and Indivisibility Ratio
In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2024
[arXiv][IJCAI]
Joint work with Xiaolin Bu, Zihao Li, Xinhang Lu, and Biaoshuai Tao
Best-of-Both-Worlds Fair Allocation of Indivisible and Mixed Goods
In Proceedings of the Conference on Web and Internet Economics (WINE), 2024
[arXiv]
Besides the agents, the allocator has the inclination to obtain a fair or efficient allocation based on her own preference.
Joint work with Xiaolin Bu, Zihao Li, Jiaxin Song, and Biaoshuai Tao
Fair Division with Allocator’s Preference
In Proceedings of the Conference on Web and Internet Economics (WINE), 2023
[arXiv][WINE]
Agents have subjective divisibility towards the set of resources.
Joint work with Xiaohui Bei and Xinhang Lu
Fair Division with Subjective Divisibility
In Proceedings of the Conference on Web and Internet Economics (WINE), 2023
[arXiv][WINE]
Instead of directly disclosing agents' valuations, the agent responds to the comparison-based query by indicating which of the two bundles she prefers.