Are Equivariant Equilibrium Approximators Beneficial? - Zhijian Duan 001; Yunxuan Ma; Xiaotie Deng (ICML, 2023)

Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach. - Ningyuan Li 001; Yunxuan Ma; Yang Zhao 039; Zhijian Duan 001; Yurong Chen 002; Zhilin Zhang 003; Jian Xu 015; Bo Zheng 007; Xiaotie Deng (KDD, 2023)

Ad vs Organic: Revisiting Incentive Compatible Mechanism Design in E-commerce Platforms. - Ningyuan Li 001; Yunxuan Ma; Yang Zhao 039; Qian Wang 025; Zhilin Zhang 003; Chuan Yu; Jian Xu 015; Bo Zheng 007; Xiaotie Deng (WWW, 2024)

A Spatial-Spectral Transformer for Hyperspectral Image Classification Based on Global Dependencies of Multi-Scale Features. - Yunxuan Ma; Yan Lan; Yakun Xie; Lanxin Yu; Chen Chen; Yusong Wu; Xiaoai Dai (Remote. Sens., 2024)

Large-Scale Contextual Market Equilibrium Computation Through Deep Learning. - Yunxuan Ma; Yide Bian; Hao Xu; Weitao Yang; Jingshu Zhao; Zhijian Duan 001; Feng Wang 048; Xiaotie Deng (IJTCS-FAW, 2025)

Networked Digital Public Goods Games with Heterogeneous Players and Convex Costs. - Yukun Cheng; Xiaotie Deng; Yunxuan Ma (WWW, 2025)

Learning Truthful Mechanisms without Discretization. - Yunxuan Ma; Siqiang Wang; Zhijian Duan 001; Yukun Cheng; Xiaotie Deng (CoRR, 2025)