Query And Clustering of Spatio-Temporal Trajectory Big Data Under the Background of COVID-19. - Ziheng Li; Jiankai Zuo; Mingxuan Song; Zhiquan Wei; Yuelong Zhang; Yuyang Xie (ICCIR, 2021)

Domain Knowledge-Based Evolutionary Reinforcement Learning for Sensor Placement. - Mingxuan Song; Chengyu Hu; Wenyin Gong; Xuesong Yan 001 (Sensors, 2022)

Certificateless network coding scheme from certificateless public auditing protocol. - Genqing Bian; Mingxuan Song; Bilin Shao (J. Supercomput., 2023)

Analysis of the Chaotic Component of Photoplethysmography and Its Association with Hemodynamic Parameters. - Xiaoman Xing; Wen-Fei Dong; Renjie Xiao; Mingxuan Song; Chenyu Jiang (Entropy, 2023)

Adversarial Distillation Based on Slack Matching and Attribution Region Alignment. - Shenglin Yin; Zhen Xiao; Mingxuan Song; Jieyi Long (CVPR, 2024)

SPRING: Improving the Throughput of Sharding Blockchain via Deep Reinforcement Learning Based State Placement. - Pengze Li; Mingxuan Song; Mingzhe Xing; Zhen Xiao; Qiuyu Ding; Shengjie Guan; Jieyi Long (WWW, 2024)

AERO: Enhancing Sharding Blockchain via Deep Reinforcement Learning for Account Migration. - Mingxuan Song; Pengze Li; Bohan Zhou; Shenglin Yin; Zhen Xiao; Jieyi Long (WWW, 2025)

Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series. - Yicong Lin; Mingxuan Song; Bernhard van der Sluis (J. Comput. Graph. Stat., 2025)