Item Sorting Platform Based on Cloud Computing. - Minbiao Han; Jianfei Yang; Zhou Fang; Zhiyuan Fang (ICEBE, 2016)

The Limits of Optimal Pricing in the Dark. - Quinlan Dawkins; Minbiao Han; Haifeng Xu (NeurIPS, 2021)

First-Order Convex Fitting and Its Application to Economics and Optimization. - Quinlan Dawkins; Minbiao Han; Haifeng Xu (AAAI, 2022)

Optimal Coordination in Generalized Principal-Agent Problems: A Revisit and Extensions. - Jiarui Gan; Minbiao Han; Jibang Wu; Haifeng Xu (CoRR, 2022)

Robust Stackelberg Equilibria. - Jiarui Gan; Minbiao Han; Jibang Wu; Haifeng Xu (EC, 2023)

A Data-Centric Online Market for Machine Learning: From Discovery to Pricing. - Minbiao Han; Jonathan Light; Steven Xia; Sainyam Galhotra; Raul Castro Fernandez; Haifeng Xu (CoRR, 2023)

On the Effect of Defections in Federated Learning and How to Prevent Them. - Minbiao Han; Kumar Kshitij Patel; Han Shao; Lingxiao Wang (CoRR, 2023)

Learning in Online Principal-Agent Interactions: The Power of Menus. - Minbiao Han; Michael Albert 002; Haifeng Xu (AAAI, 2024)

Escape Sensing Games: Detection-vs-Evasion in Security Applications. - Niclas Boehmer; Minbiao Han; Haifeng Xu; Milind Tambe (ECAI, 2024)

No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes. - Minbiao Han; Fengxue Zhang; Yuxin Chen 001 (UAI, 2024)

An extensive study of security games with strategic informants. - Weiran Shen; Minbiao Han; Weizhe Chen 001; Taoan Huang; Rohit Singh; Haifeng Xu; Fei Fang 001 (Artif. Intell., 2024)

Is Learning Effective in Dynamic Strategic Interactions? Evidence from Stackelberg Games. - Michael Albert 002; Quinlan Dawkins; Minbiao Han; Haifeng Xu (CoRR, 2025)