Differential Convolution Feature Guided Deep Multi-Scale Multiple Instance Learning for Aerial Scene Classification. - Beichen Zhou; Jingjun Yi; Qi Bi (ICASSP, 2021)

Attention Awareness Multiple Instance Neural Network. - Jingjun Yi; Beichen Zhou (ICANN (3), 2022)

A Multi-Stage Duplex Fusion Convnet for Aerial Scene Classification. - Jingjun Yi; Beichen Zhou (ICIP, 2022)

All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification. - Qi Bi; Beichen Zhou; Kun Qin; Qinghao Ye; Gui-Song Xia (CoRR, 2022)

Learning Instance Representation Banks for Aerial Scene Classification. - Jingjun Yi; Beichen Zhou (CoRR, 2022)

All Grains, One Scheme (AGOS): Learning Multigrain Instance Representation for Aerial Scene Classification. - Qi Bi; Beichen Zhou; Kun Qin; Qinghao Ye; Gui-Song Xia (IEEE Trans. Geosci. Remote. Sens., 2022)

Boosting Fine-Grained Oriented Object Detection via Text Features. - Beichen Zhou; Qi Bi; Jian Ding 001; Gui-Song Xia (ICPR (16), 2024)

GOOD: Towards Domain Generalized Orientated Object Detection. - Qi Bi; Beichen Zhou; Jingjun Yi; Wei Ji 011; Haolan Zhan; Gui-Song Xia (CoRR, 2024)

Minimum-Violation Temporal Logic Planning for Heterogeneous Robots under Robot Skill Failures. - Samarth Kalluraya; Beichen Zhou; Yiannis Kantaros (CoRR, 2024)

Universal Fine-Grained Visual Categorization by Concept Guided Learning. - Qi Bi; Beichen Zhou; Wei Ji 011; Gui-Song Xia (IEEE Trans. Image Process., 2025)