I am a first-year Ph.D. Student at Hohai University.

🔍Research Topics

  • Remote Sensing Vision-Language Model
  • UAV-based Environment Perception
  • AI Agent

🔥 News

  • 2025.07: “RemoteSAM: Towards Segment Anything for Earth Observation” is accepted by ACM MM 2025 (Oral)!  🎉🎉
  • 2025.06: I earned my master’s degree from HHU and was awarded the title of Outstanding Master’s Graduate (7/234=3%).  🎓🎓
  • 2025.05: We introduce a referring expression segmentation-based unified paradigm and propose RemoteSAM, paper and code is released.
  • 2025.04: “Boost UAV-based Object Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning” is accepted by IEEE TGRS.  🎉🎉
  • 2024.12: “RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classification” is accepted by IEEE ICASSP.  🎉🎉
  • 2024.10: “Domain-invariant Progressive Knowledge Distillation for UAV-based Object Detection” is accepted by IEEE GRSL.  🎉🎉

📖 Educations

  • 2025.06 - Now, Ph.D. at AIMGroup, College of Computer Science and Software Engineering, Hohai University, supervised by Prof. Fan Liu and Prof. Chuanyi Zhang.
  • 2022.09 - 2025.06, M.S. at AIMGroup, College of Computer Science and Software Engineering, Hohai University, supervised by Prof. Fan Liu.
  • 2018.09 - 2022.06, B.S. at College of Computer Science and Information, Hohai University

💻 Internships

  • 2025.06 - Now, Research Intern at COWARobot, mentored by Dr. Pai Peng.

📝 Selected Publications

ACM MM 2025 oral
sym

RemoteSAM: Towards Segment Anything for Earth Observation

Liang Yao, Fan Liu, Delong Chen, Chuanyi Zhang, Yijun Wang, Ziyun Chen, Wei Xu, Shimin Di, Yuhui Zheng.

Code | Dataset

  • We propose a referring expression segmentation (RES) based unification paradigm and a robust yet visual foundation model, RemoteSAM.

Media coverage: 【极市平台】ACM MM2025 Oral | RemoteSAM:轻量统一的遥感视觉模型|【我爱计算机视觉】RemoteSAM:轻量统一的遥感视觉模型|【遥感与深度学习】最新论文 | RemoteSAM, 专用于遥感的SAM, 模型数据均开源!|

arXiv 2025
sym

UEMM-Air: Enable UAVs to Undertake More Multi-modal Tasks

Liang Yao, Fan Liu, Shengxiang Xu, Chuanyi Zhang, Shimin Di, Xing Ma, Jianyu Jiang, Zequan Wang, Jun Zhou.

TGRS 2025
sym

Boost UAV-Based Object Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning

Fan Liu, Liang Yao, Chuanyi Zhang, Ting Wu, Xinlei Zhang, Xiruo Jiang, Jun Zhou.

👥 Co-authors

I assist Prof. Fan Liu in supervising some undergraduate and graduate students:

Shengxiang Xu, Wei Xu, Rui Min, Rong Zhang, Ting Wu, Yijun Wang, Xiang Gu, Junjie Zhou.

🎖 Honors and Awards

  • 2024, Second Prize of Science and Technology Award (Scientific Innovation), Jiangsu Institute of Information Technology Application | 江苏省信息技术应用学会科学技术奖(科技创新)二等奖

  • 2024, Outstanding Poster Award, Jiangsu Graduate Academic Innovation Forum on Intelligent Control and Marine Information Processing | 江苏省研究生智能控制与海洋信息处理前沿学术创新论坛优秀海报奖

  • 2024, First Prize (Intelligent Transportation Track), National Final of Global Campus AI Algorithm Elite Competition | 全球校园人工智能算法精英大赛智能交通赛道全国总决赛一等奖

  • 2024, First Prize (Other Tracks), National Final of Global Campus AI Algorithm Elite Competition | 全球校园人工智能算法精英大赛其他赛道全国总决赛一等奖

  • 2023, Outstanding Volunteer, Jiangsu Association for Artificial Intelligence | 江苏省人工智能学会优秀志愿者

  • 2023, Second Prize, Final of “Prospective Cup” Meta Intelligent Data Challenge | “远见杯”元智能数据挑战赛决赛二等奖

  • 2022, Third Prize, National Final of “China Software Cup” Software Design Competition | “中国软件杯”大学生软件设计大赛总决赛三等奖

  • 2021, Meritorious Winner, The Mathematical Contest in Modeling (MCM) | 美国大学生数学建模大赛 Meritorious Winner

  • 2021, Winning Solution Award, “Fight COVID-19 with Technology” Big Data Challenge (CCF Big Data & Computing Intelligence Contest) | 中国计算机学会大数据与计算智能大赛”科技战疫”大数据公益挑战赛优胜方案奖

  • 2021, Second Prize (Jiangsu Division), “Challenge Cup” National Undergraduate Academic Technology Works Competition | “挑战杯”全国大学生课外学术科技作品竞赛江苏省二等奖

🔗 Academic Service

  • Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Conference on Computer Vision (ICCV)
  • ACM International Conference on Multimedia (ACMMM)