Unless stated otherwise, author names are in alphabetical order.
Incentive Analysis of Collusion in Fair Division (arXiv)
Haoqiang Huang, Biaoshuai Tao, Mingwei Yang, Shengwei Zhou
WINE 2025
When is Truthfully Allocating Chores no Harder than Goods? (arXiv)
Bo Li, Biaoshuai Tao, Fangxiao Wang, Xiaowei Wu, Mingwei Yang, Shengwei Zhou
SAGT 2025
Contextual Decision-Making with Knapsacks beyond Worst Cases (arXiv)
Zhaohua Chen, Rui Ai, Mingwei Yang, Yuqi Pan, Chang Wang, Xiaotie Deng (by contribution)
NeurIPS 2024
Stochastic Online Metric Matching: Adversarial is no Harder than Stochastic (arXiv)
Amin Saberi, Mingwei Yang, Sophie H. Yu
WINE 2024
Fair and Almost Truthful Mechanisms for Additive Valuations and Beyond (arXiv)
Biaoshuai Tao, Mingwei Yang
WINE 2024
Budget-Constrained Auctions with Unassured Priors: Strategic Equivalence and Structural Properties (arXiv)
Zhaohua Chen, Mingwei Yang, Chang Wang, Jicheng Li, Zheng Cai, Yukun Ren, Zhihua Zhu, Xiaotie Deng (by contribution)
WWW 2024 (oral)
The Incentive Guarantees Behind Nash Welfare in Divisible Resources Allocation (arXiv)
Xiaohui Bei, Biaoshuai Tao, Jiajun Wu, Mingwei Yang
WINE 2023
Fairly Allocating (Contiguous) Dynamic Indivisible Items with Few Adjustments (arXiv)
Mingwei Yang
AAMAS 2023 (Extended Abstract)
Streaming Facility Location in High Dimension via Geometric Hashing (arXiv)
Artur Czumaj, Shaofeng H.-C. Jiang, Robert Krauthgamer, Pavel Veselý, Mingwei Yang
FOCS 2022
Online Metric Matching: Beyond the Worst Case (arXiv)
Mingwei Yang, Sophie H. Yu
OR 2025
(Supersedes WINE 2024 paper)
The Incentive Guarantees Behind Nash Welfare in Divisible Resources Allocation (arXiv)
Xiaohui Bei, Biaoshuai Tao, Jiajun Wu, Mingwei Yang
AIJ 2025
(Supersedes WINE 2023 paper)
A Provably Good and Practically Efficient Algorithm for Common Path Pessimism Removal in Large Designs
Zizheng Guo, Mingwei Yang, Tsung-Wei Huang, Yibo Lin (by contribution)
TCAD 2021