基于改进萤火虫优化算法的多阈值彩色图像分割 (Multilevel Color Image Segmentation Based on Improved Glowworm Swarm Optimization Algorithm). - Xiao Mao; Lifang He 004; Qingping Wang (计算机科学, 2017)

A natural extension to the convex hull problem and a novel solution. - Xiao Mao (CoRR, 2020)

Breaking the Cubic Barrier for (Unweighted) Tree Edit Distance. - Xiao Mao (FOCS, 2021)

Shortest non-separating st-path on chordal graphs. - Xiao Mao (CoRR, 2021)

DL-DRL: A double-layer deep reinforcement learning approach for large-scale task scheduling of multi-UAV. - Xiao Mao; Guohua Wu 001; Mingfeng Fan (CoRR, 2022)

Approximating Knapsack and Partition via Dense Subset Sums. - Mingyang Deng; Ce Jin 001; Xiao Mao (SODA, 2023)

On Problems Related to Unbounded SubsetSum: A Unified Combinatorial Approach. - Mingyang Deng; Xiao Mao; Ziqian Zhong (SODA, 2023)

Task Scheduling Under a Novel Framework for Data Relay Satellite Network via Deep Reinforcement Learning. - Jiaxing Li; Guohua Wu 001; Tianjun Liao; Mingfeng Fan; Xiao Mao; Witold Pedrycz (IEEE Trans. Veh. Technol., 2023)

Coordinated Scheduling of Air and Space Observation Resources via Divide-and-Conquer Framework and Iterative Optimization. - Guohua Wu 001; Xiao Mao; Yingguo Chen; Xinwei Wang 006; Wenkun Liao; Witold Pedrycz (IEEE Trans. Aerosp. Electron. Syst., 2023)

(1 - ε)-Approximation of Knapsack in Nearly Quadratic Time. - Xiao Mao (STOC, 2024)

Fully Dynamic All-Pairs Shortest Paths: Likely Optimal Worst-Case Update Time. - Xiao Mao (STOC, 2024)

Breaking the Sorting Barrier for Directed Single-Source Shortest Paths. - Ran Duan; Jiayi Mao; Xiao Mao; Xinkai Shu; Longhui Yin (STOC, 2025)

DL-DRL: A Double-Level Deep Reinforcement Learning Approach for Large-Scale Task Scheduling of Multi-UAV. - Xiao Mao; Guohua Wu 001; Mingfeng Fan; Zhiguang Cao; Witold Pedrycz (IEEE Trans Autom. Sci. Eng., 2025)

Multi-Ship Dynamic Weapon-Target Assignment via Cooperative Distributional Reinforcement Learning With Dynamic Reward. - Zhe Peng; Zhifeng Lu; Xiao Mao; Feng Ye; Kuihua Huang; Guohua Wu 001; Ling Wang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)