How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images. - Yiqing Shen 003; Bingxin Zhou; Xinye Xiong; Ruitian Gao; Yu Guang Wang 001 (BIBM, 2023)

Exhaustiveness Does Not Necessarily Mean Better: Selective Task Planning for Multi-robot Systems. - Xinye Xiong; Xingyao Han; Zhe Liu 022; Hesheng Wang 001 (ROBIO, 2023)

Graph Representation Learning for Interactive Biomolecule Systems. - Xinye Xiong; Bingxin Zhou; Yuguang Wang 001 (CoRR, 2023)

Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks. - Bingxin Zhou; Outongyi Lv; Kai Yi; Xinye Xiong; Pan Tan; Liang Hong; Yu Guang Wang 001 (CoRR, 2023)

Traffic Flow Learning Enhanced Large-Scale Multi-Robot Cooperative Path Planning Under Uncertainties. - Xingyao Han; Siyuan Chen; Xinye Xiong; Qiming Liu 001; Shunbo Zhou; Heng Zhang; Zhe Liu 022 (ICRA, 2024)

Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Subsidy Strategies. - Fangzhou Shi; Xiaopeng Ke; Xinye Xiong; Kexin Meng; Chang Men; Zhengdan Zhu (CoRR, 2025)