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ZhanYang-nwpu/README.md

Yang Zhan 👋

We warmly welcome any form of academic cooperation. Please feel free to email me at zhanyangnwpu@gmail.com.

I am currently pursuing the Ph.D. degree with the School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China.

🌟My research interests

UAV Low-altitude Intelligence, Spatio-Temporal AI, Geospatial AI, Vision-Language MultiModal, Large Language Model, AI for Remote Sensing, and Data Mining.

📢Flash-news

🔥 Serve as the lead guest editor of the Remote Sensing journal (JCR Q1)

  • Special Issue: Vision–Language Multimodal Learning for Remote Sensing and Geospatial Artificial Intelligence [Website]

🔥 Serve as the lead guest editor of the Future Transportation journal (JCR Q3)

  • Special Issue: Large Language or Multimodal Models for Intelligent Transportation Systems: Innovations, Challenges, and Applications [Website]

💬Projects

🗞️Recent News

🔥 [……]:

🔥 [2026/03]: UAVBench and UAVIT-1M now is available at arXiv. (Project page: https://UAVBench.github.io/)

🎉 [2026/03]: Invited to serve as the lead guest editor of the Future Transportation journal and host a special issue!

🎉 [2026/01]: Invited to serve as the lead guest editor of the Remote Sensing journal and host a special issue!

🎉 [2025/12]: I was selected for the Doctoral Student Program of Youth Science and Technology Talents Cultivation Project by China Association for Science and Technology!

🔥 [2025/11]: A curated list about Multimodal Large Language Model for UAV Vision-Language Perception is created.

🔥 [2025/09]: Propose the SAVG task and construct the UAV-SVG dataset (accepted by NeurIPS)!

  • This work explores the spatial aerial video grounding for low-altitude UAVs. A novel SAVG-DETR model is devised to solve challenges of the aerial object grounding.

🔥 [2025/09]: Propose the MVPC-CLIP for vision-language aerial video recognition (accepted by T-MM)!

  • This work explores the vision-language multi-modality contrastive learning paradigm for aerial video recognition. We propose a contrastive learning framework with Multi-granularity Visual Prompt Co-operative information flow, termed MVPC-CLIP. Our MVPC-CLIP can be a winner across all zero-shot, few-shot, and fully-supervised settings.

🔥 [2025/01]: SkyEyeGPT now is accepted by ISPRS!

🎉 [2024/12]: I was supported by the Basic Research Project for Young Students of the National Natural Science Foundation of China!

🔥 [2024]: Remote sensing multimodal large language model is an ongoing project. We will be working on improving it.

🔥 [2024/01]: SkyEyeGPT now is available at arXiv.

  • This work explores the remote sensing multimodal large language model (vision-language). We meticulously curate a high-quality remote sensing multi-modal instruction tuning dataset, including single-task and multi-task conversation instructions, namely SkyEye-968k. We develop SkyEyeGPT, which unifies remote sensing vision-language tasks and breaks new ground in enabling the unified modeling of remote sensing vision and LLM. Experiments on 8 datasets for remote sensing vision language tasks demonstrate SkyEyeGPT’s superiority in image-level and region-level tasks. Specially, it has shown encouraging results in some tests, compared with GPT-4V.

🔥 [2024/01]: A curated list about Remote Sensing Multimodal Large Language Model (Vision-Language) is created.

🔥 [2023/12]: Propose the Mono3DVG task and construct the Mono3DRefer dataset(accepted by AAAI2024)!

  • For intelligent systems and robots, understanding objects based on language expressions in real 3D scenes is an important capability for human-machine interaction. However, existing 2D visual grounding cannot capture the true 3D extent of the referred objects. 3D visual grounding requires laser radars or RGB-D sensors, which greatly limits its application scenarios due to the expensive cost and device limitations. Monocular 3D object detection is low-cost and has strong applicability, but it cannot localize specific objects. We introduce a novel task of 3D visual grounding in monocular RGB images using language descriptions with appearance and geometry information. We create Mono3DRefer, which is the first dataset that leverages the ChatGPT to generate descriptions. We believe Mono3DVG can be widely applied since it does not require strict conditions such as RGB-D sensors, LiDARs, or industrial cameras. The application scenarios are wide, such as drones, surveillance systems, intelligent vehicles, robots, and other devices equipped with cameras.

🔥 [2023/08]: Propose a novel PE-RSITR task and provide empirical studies(accepted by T-GRS)!

  • This work explores the parameter-efficient transfer learning for remote sensing image-text retrieval. Our proposed MRS-Adapter reduces 98.9% of fine-tuned parameters and its performance exceeds traditional methods by 7%~13%.

🔥 [2023/02]: Propose the RSVG task and construct the DIOR-RSVG dataset(accepted by T-GRS)!

  • This work explores the visual grounding for remote sensing domain. The DIOR-RSVG takes DIOR dataset as the data source and is built using an automatic generation algorithm with manual verification. A novel transformer-based MGVLF model is devised to solve problems of the cluttered background and scale variation of RS images.

🔥 [2022/08]: Propose a STMGCN for vessel traffic flow prediction(accepted by T-ITS)!

  • This work explores multi-graph convolutional network for vessel traffic flow prediction. Due to the difference between water traffic and land traffic, we propose a big data-driven maritime traffic network extraction algorithm to construct a "road network". We then design a STMGCN to make full use of maritime graphs and multi-graph learning (including distance graph, interaction graph, and correlation graph).

🔥 [2021/08]: Propose a MVFFNet for imbalanced ship classification(accepted by PRLetters)!

🌱 Academic Services

  • Editorial Activity

    • Leading Guest Editor: Remote Sensing
    • Leading Guest Editor: Future Transportation
  • Journal Reviewer:

    • npj Heritage Science (Nature Portfolio)
    • Scientific Reports (Nature Portfolio)
    • IEEE Transactions on Multimedia (T-MM)
    • IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)
    • IEEE Transactions on Geoscience and Remote Sensing (T-GRS)
    • IEEE Geoscience and Remote Sensing Magazine (GRSM)
    • ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS)
    • Pattern Recognition (PR)
    • Neural Networks (NEUNET)
    • Knowledge-Based Systems (KBS)
    • Engineering Applications of Artificial Intelligence (EAAI)
    • Computer Science Review (COSREV)
    • Big Earth Data
    • Journal of Transport Geography (JTRG)
    • Artificial Intelligence in Agriculture
    • International Journal of Applied Earth Observation and Geoinformation (JAG)
    • Information Sciences
    • Neurocomputing
    • Remote Sensing
    • Ocean Engineering
    • Geo-spatial Information Science (GSIS)
    • Journal of King Saud University Computer and Information Sciences
    • IEEE Geoscience and Remote Sensing Letters (IEEE GRSL)
    • Pattern Recognition Letters (PRLETTERS)
    • Journal of Supercomputing (J SUPERCOMPUT)
    • IET Intelligent Transport Systems (IET ITS)
    • Engineering Science and Technology, an International Journal (JESTCH)
    • ISPRS International Journal of Geo-Information (IJGI)
    • Digital Signal Processing (DSP)
    • Electric Power Systems Research (EPSR)
    • Mathematics
    • Agriculture
    • Applied Sciences
    • Multimedia Systems
    • CMC-Computers, Materials & Continua (CMC)
    • Signal, Image and Video Processing
    • Computers and Electrical Engineering (COMPELECENG)
    • Engineering Proceedings
    • Computers
    • International Journal of Multimedia Information Retrieval (IJMIR)
  • Conference Reviewer:

    • The 20th ACM International Conference on Web Search and Data Mining (WSDM 2027)
    • The 41th Annual AAAI Conference on Artificial Intelligence (AAAI 2027)
    • The 40th Annual Conference on Neural Information Processing Systems (NeurIPS 2026)
    • The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026)
    • The 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025)

📖 Educations

  • [2022.09-present]: Ph.D. candidate | Northwestern Polytechnical University, Computer Science and Technology
  • [2018.09-2022.06]: Undergraduate | Wuhan University of Technology, Computer Science and Technology

💼Experience

  • [2025-present]: Research Assistant | The Hong Kong Polytechnic University

🏆Honors and Awards

  • [2025/11]: Special Grade Scholarship, Northwestern Polytechnical University (10 students)
  • [2025/11]: Outstanding Graduate Student Model, Northwestern Polytechnical University (10 students)
  • [2025/11]: Self-Reliance Star, Northwestern Polytechnical University (10 students)
  • [2025/11]: Research Value Scholarship, Northwestern Polytechnical University
  • [2025/11]: First Prize Academic Scholarship, Northwestern Polytechnical University
  • [2024/11]: Special Grade Scholarship, Northwestern Polytechnical University (10 students)
  • [2024/11]: Outstanding Graduate Student Model, Northwestern Polytechnical University (10 students)
  • [2024/11]: Graduate Journey Star, Northwestern Polytechnical University (10 students)
  • [2023/11]: National Scholarship (The highest scholarship awarded by the Ministry of Education, China)
  • [2023/11]: Self-Reliance Star, Northwestern Polytechnical University (10 students)
  • [2023/11]: First Prize Academic Scholarship, Northwestern Polytechnical University
  • ……

📫 Contact

Email: zhanyangnwpu@gmail.com

⚡ Fact



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