Building and Dynamically Managing Workflows for Processing Remote Sensing Data in Distributed High-Throughput Environment. - Ruobing Zheng; Yingchao Piao; Ze Luo; Baoping Yan; Miron Livny (IGARSS, 2019)

When Self-Supervised Learning Meets Scene Classification: Remote Sensing Scene Classification Based on a Multitask Learning Framework. - Zhicheng Zhao 002; Ze Luo; Jian Li; Can Chen; Yingchao Piao (Remote. Sens., 2020)

Multi-Scale Cascade Guided Object Detection in Aerial Images. - Jiajia Liao; Yingchao Piao; Guorong Cai; Yundong Wu; Jinhe Su (IGARSS, 2021)

Unsupervised Cluster Guided Object Detection in Aerial Images. - Jiajia Liao; Yingchao Piao; Jinhe Su; Guorong Cai; Xingwang Huang; Long Chen; Zhaohong Huang; Yundong Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

GLE-Net: A Global and Local Ensemble Network for Aerial Object Detection. - Jiajia Liao; Yujun Liu 005; Yingchao Piao; Jinhe Su; Guorong Cai; Yundong Wu (Int. J. Comput. Intell. Syst., 2022)

3DSAC: Size Adaptive Clustering for 3D object detection in point clouds. - Hang Yu; Jinhe Su; Guorong Cai; Yingchao Piao; Niansheng Liu; Min Huang 004 (Int. J. Appl. Earth Obs. Geoinformation, 2023)

GGW-BDF: an online tool for using earth observation and Chinese ecosystem restoration experiences in support of the Great Green Wall initiative. - Xiaosong Li; Tong Shen; Amos Tiereyangn Kabo-Bah; Jie Liu; Jianhui Li; Changyong Dou; Yingchao Piao; Xiaoxia Jia; Qi Lu; Huailin Wu; Ziyu Yang; Yubo Zhi; et al. (Int. J. Digit. Earth, 2024)

Diversity Matters: Co-training for Semi-Supervised Change Detection in Remote Sensing Images. - Zan Mao; Xin Li; Ze Luo; Yingchao Piao (ICASSP, 2025)