Yue Zhou is an Associate Professor in the DREAMS Lab of East China Normal University (华东师范大学). Before that, he was a Research Fellow at S-Lab, Nanyang Technological University (南洋理工大学), focusing on Remote Sensing Vision-Language Models and UAV-based Agents. He works closely with Mengcheng Lan (兰孟城), focusing on referring expression segmentation based on Multi-modal Large Language Models (MLLMs). Previously, he received his PhD degree at the Department of Electronic Engineering, Shanghai Jiao Tong University (上海交通大学), supervised by Professor Xue Jiang (姜雪). He also works closely with Xue Yang (杨学), focusing on rotated object detection and SAR ship detection tasks. Before that, he received his bachelor degree at the School of Information and Communication, Beijing University of Posts and Telecommunications (北京邮电大学).

Yue Zhou has published about 30 papers . His main works lie in remote sensing vision language models, UAV-based agent and rotated object detection. He led the initial release of MMRotate , and has been leading the development of it since 2022. He is also the leading contributor to the AlphaRotate, JDet and MMDetection.

我正在寻找自驱力较强的学生、实习生，目标是在无人机空间智能、多模态模型、对抗攻击、遥感影像解译等课题上做出有影响力的工作。请随时通过电子邮件与我联系。 Looking for self-motivated students, with the goal of doing impactful work on the topic of UAV-based Space Intelligence, Vision-Language Models, Adversarial Attack, Remote Sensing (AI4RS), etc. Please do not hesitate to contact me via email.

🔥 News

• 2025.09: 🎉 One paper on Multimodal Mathematical Reasoning in Aerial Vehicle Imagery (AVI-Math) is accepted by ISPRS JPRS
• 2025.07: 🎉 2nd place in Large Model Adversarial Challenge of QiZhi Cup (启智杯)
• 2025.06: 🎉 A collaborative paper on cloud Removal is accepted by JSTARS
• 2025.05: 🎉 A collaborative paper on semi-supervised change detection is accepted by TIM
• 2025.05: 🎉 A collaborative paper on point-supervised oriented object detection (Pointobb-v3) is accepted by IJCV
• 2025.05: 🎉 One paper on Spatially-Aware Aerial Agent (AirSpatialBot) is accepted by TGRS
• 2025.03: 🎉 A collaborative paper on Aerial Agent (AirAgent) is accepted by IGARSS
• 2025.01: 🎉 A collaborative paper on referring expression segmentation (Text4Seg) is accepted by ICLR

📝 Selected Publications

🎙 Large Vision Language Models

ISPRS JPRS 2025

Multimodal Mathematical Reasoning Embedded in Aerial Vehicle Imagery: Benchmarking, Analysis, and Exploration
Yue Zhou, Litong Feng, Mengcheng Lan, Xue Yang, Qingyun Li, Yiping Ke, Xue Jiang, Wayne Zhang

• The first remote sensing multimodal mathematical reasoning benchmark.

• Project |

TGRS 2025

AirSpatialBot: A Spatially-Aware Aerial Agent for Fine-Grained Vehicle Attribute Recognization and Retrieval
Yue Zhou, Ran Ding, Xue Yang, Xue Jiang, Xingzhao Liu

• The first remote sensing large vision language model with 3D visual grounding capability.

• Project |

arXiv 2024

GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding
Yue Zhou, Mengcheng Lan, Xiang Li, Litong Feng, Yiping Ke, Xue Jiang, Qingyun Li, Xue Yang, Wayne Zhang

• Project |

• IGARSS 2025 AirAgent: An assistant for zero-shot fine-grained target attribute recognition in aerial imagery, Ran Ding, Yue Zhou, et al.
• ICLR 2025 Text4Seg: Reimagining Image Segmentation as Text Generation, Mengcheng Lan, Chaofeng Chen, Yue Zhou, et al.
• arXiv 2024 Towards Vision-Language Geo-Foundation Model: A Survey, Yue Zhou, Litong Feng, et al.

📚 Adversarial attack

TGRS 2024

DGA: Direction-Guided Attack Against Optical Aerial Detection in Camera Shooting Direction-Agnostic Scenarios
Yue Zhou, Shuqi Sun, et al.

• The first direction-guided attack against aerial detectors.

• Project |

• RS 2023 CamoNet: A Target Camouflage Network for Remote Sensing Images Based on Adversarial Attack, Yue Zhou, Wanghan Jiang, et al.
• IGARSS 2023 Adversarial Example Generation Method for Object Detection in Remote Sensing Images, Wanghan Jiang, Yue Zhou, et al.

⚽️ Rotated Object Detection

ACM MM 2022

MMRotate: A rotated object detection benchmark using pytorch
Yue Zhou, Xue Yang, et al. (Oral)

• A unified rotated object detection toolbox and benchmark.

• Project |

• ICASSP 2024 AlphaRotate: A Rotation Detection Benchmark using TensorFlow, Xue Yang, Yue Zhou, et al.
• ICLR 2023 The KFIoU loss for rotated object detection, Xue Yang, Yue Zhou, et al. Project
• NeurIPS 2023 H2rbox-v2: Boosting hbox-supervised oriented object detection via symmetric learning, Yi Yu, Xue Yang, Qingyun Li, Yue Zhou, et al. Project
• ICLR 2023 The KFIoU loss for rotated object detection, Xue Yang, Yue Zhou, et al. Project
• ICLR 2023 H2RBox: Horizonal box annotation is all you need for oriented object detection, Xue Yang, Gefan Zhang, Wentong Li, Xuehui Wang, Yue Zhou, et al. Project
• JSTARS 2023 A semi-supervised arbitrary-oriented SAR ship detection network based on interference consistency learning and pseudo label calibration, Yue Zhou, Xue Jiang, et al.
• TPAMI 2022 Detecting rotated objects as gaussian distributions and its 3-d generalization, Xue Yang, Gefan Zhang, Xiaojiang Yang, Yue Zhou, et al.
• arXiv 2022 Rtmdet: An empirical study of designing real-time object detectors, Chengqi Lyu, Wenwei Zhang, Haian Huang, Yue Zhou, et al. Project
• JSTARS 2022 PVT-SAR: An arbitrarily oriented SAR ship detector with pyramid vision transformer, Yue Zhou, Xue Jiang, et al.
• IGARSS 2022 Benchmark for Arbitrary-Oriented SAR Ship Detection, Yue Zhou, Xue Jiang, et al.
• IGARSS 2021 Arbitrary-oriented SAR ship detection via frequency learning, Yue Zhou, Xue Jiang, et al. (Oral)
• CVPR 2020 Dense label encoding for boundary discontinuity free rotation detection, Xue Yang, Liping Hou, Yue Zhou, et al.

🚢 SAR Automatic Target Recognition

• TIM 2025 Integrating Local and Global Features via CNN and Mamba for Semi-Supervised Change Detection, Ze Zhang, Yue Zhou, et al.
• GRSL 2023 GRD: An ultra-lightweight SAR ship detector based on global relationship distillation, Yue Zhou, Xue Jiang, et al.
• RS 2021 SAR ship detection dataset (SSDD): Official release and comprehensive data analysis, Tianwen Zhang, Xiaoling Zhang, Jianwei Li, Xiaowo Xu, Baoyou Wang, Xu Zhan, Yanqin Xu, Xiao Ke, Tianjiao Zeng, Hao Su, Israr Ahmad, Dece Pan, Chang Liu, Yue Zhou, et al. (Best Paper)
• GARSS 2020 SAR Target Classification with Limited Data via Data Driven Active Learning, Yue Zhou, Xue Jiang, et al.
• RS 2020 LS-SSDD-v1. 0: A deep learning dataset dedicated to small ship detection from large-scale Sentinel-1 SAR images, Tianwen Zhang, Xiaoling Zhang, Xiao Ke, Xu Zhan, Jun Shi, Shunjun Wei, Dece Pan, Jianwei Li, Hao Su, Yue Zhou, et al.
• GARSS 2020 Convolutional neural network-based dictionary learning for SAR target recognition, L Tao, Yue Zhou, et al.

🎖 Honors and Awards

• 2025.07 2nd place in Large Model Adversarial Challenge of QiZhi Cup (启智杯)
• 2024.05 Shanghai Outstanding Graduates (上海市优秀毕业生)
• 2023.12 Top 100 Benchmarks & Evaluation achievement Award (Top100基准成就奖) by International Open Benchmark Council
• 2023.10 Intel Fellowship (英特尔奖学金)
• 2019.12 2nd place in Tianzhi Cup (天智杯)
• 2019.12 SMIC Scholarship (中芯国际奖学金)
• 2019.06 2nd place in TEDA&JD Cup (泰达京东杯)

⌚️ Work Experience

• 2024.06 - 2025.06, Research Fellow, Nanyang Technological University, Singapore.
• 2024.01 - 2024.06, Postdoctor, Shanghai Jiao Tong University, Shanghai.

📖 Educations

• 2018.09 - 2024.03, Doctor, Shanghai Jiao Tong University, Shanghai.
• 2013.09 - 2017.06, Undergraduate, Beijing University of Posts and Telecommunications, Beijing.

🎓 Academic Service

• Conference Reviewer: MM’2025, ICCV’2025, CVPR’2025, ICLR’2024-2025, IGARSS’2024-2025, NeurIPS’2023-2025.
• Journal Reviewer: GRSM, TIP, TGRS, TCSVT, JSTARS, GRSL, RS, GSIS.

💻 Internships

• 2022.02 - 2023.02, Shanghai AI Lab, Shanghai.
• 2020.09 - 2021.06, Intel Asia R&D Center, Shanghai.
• 2019.07 - 2020.05, Tencent YouTu Lab, Shanghai.

🎵 Open Source Project

• JE: A harmonica score library for ACG music

👣 Visitor Track