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Qinglong Cao

Ph.D. Candidate
MoE Key Lab of Artificial Intelligence, AI Institute,
Shanghai Jiao Tong University; Eastern Institute of Technology, Ningbo

800 Dongchuan RD. Minhang District, Shanghai, China

 caoql2022@sjtu.edu.cn


About Me

I’m an AI Ph.D. candidate in the joint program between Shanghai Jiao Tong University and Eastern Institute of Technology, Ningbo. I am supervised by Prof. Yuntian Chen (belonging to the team of Prof. Dongxiao Zhang and guided by Prof. Shiyi Chen ) and Prof. Xiaokang Yang , and I also work closely with Prof. Chao Ma .

Prior to that, I received my B.E. and M.S. degrees from Northwestern Polytechnical University respectively in 2019 and 2022, under the supervision of Pro. Junwei Han , and also working closely with Pro. Xiwen Yao . My research centers on data-limited and domain-aware visual learning. I am particularly interested in how prior knowledge, task structure, and foundation models can be systematically integrated to build generalizable and trustworthy vision systems under limited supervision. My recent work explores few-shot and open-vocabulary segmentation, prompt learning, and parameter-efficient fine-tuning (PEFT), with applications across remote sensing, medical imaging, and broader AI for Science scenarios. More broadly, I study core vision problems including segmentation, classification, super-resolution, and generative modeling, to enable reliable visual intelligence for scientific and real-world decision-making.

Background

Shanghai Jiao Tong University & Eastern Institute of Technology, Ningbo, Shanghai/Ningbo, China

PhD in Computer Science, Sept. 2022 - Present

Northwestern Polytechnical University, Xi’an, China

Master in Pattern Recognition and Intelligent System, Sept. 2019 - Mar. 2022

Northwestern Polytechnical University, Xi’an, China

Bachelor in Automation, Sept. 2015 - Jun. 2019

Research Interests

Publications

  1. AAAI2026
    Latent Knowledge-Guided Video Diffusion for Scientific Phenomena Generation from a Single Initial Frame
    Qinglong Cao, Xirui Li, Ding Wang, Chao Ma, Yuntian Chen, Xiaokang Yang
    Association for the Advancement of Artificial Intelligence (AAAI2026), November. 2025.
    PDF
  2. TGRS
    Open-Vocabulary Remote Sensing Image Semantic Segmentation
    Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), April. 2025.
    PDF Code
  3. RENE
    OpenWPF: A Cross-Dataset Benchmark for Neural Network-Based Wind Power Forecasting
    Xin Xu, Qinglong Cao, Ruizhe Deng, Zhiling Guo, Yuntian Chen, Jinyue Yan
    Renewable Energy(RENE), April. 2025.
    PDF
  4. TGRS
    HSFormer: Multiscale Hybrid Sparse Transformer for Uncertainty-Aware Cloud and Shadow Removal
    Changqi Sun, Yuntian Chen, Qinglong Cao, Longfeng Nie, Zhenzhong Zeng,Dongxiao Zhang
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), April. 2025.
    PDF
  5. Nexus2025
    Generalized Domain Prompt Learning for Accessible Scientific Vision-Language Models
    Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhenzhong Zeng, Xiaokang Yang, Dongxiao Zhang
    Nexus, Cell press.
    PDF Code
  6. AAAI2025
    Auto-Regressive Moving Diffusion Models for Time Series Forecasting
    Jiaxin Gao, Qinglong Cao(Co-first Author), Yuntian Chen
    Association for the Advancement of Artificial Intelligence (AAAI2025) February. 2025.
    PDF Code
  7. POF
    Vision-Informed Flow Field Super-Resolution with Quaternion Spatial Modeling and Dynamic Fluid Convolution
    Qinglong Cao, Yuntian Chen, Ding Wang, Zhengqin Xu, Chao Ma, Xiaokang Yang, Shiyi Chen
    Physics of Fluids (POF), September. 2024.
    PDF Code
  8. CVPR2024
    Domain Prompt Learning with Quaternion Networks
    Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR2024), June. 2024.
    PDF Code
  9. AAAI2024
    Domain-Controlled Prompt Learning
    Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang
    Association for the Advancement of Artificial Intelligence (AAAI2024), February. 2024.
    PDF Code
  10. TGRS
    Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation
    Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), December. 2023.
    PDF Code
  11. TCSVT
    Break the Bias: Delving Semantic Transform Invariance for Few-Shot Segmentation
    Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), October. 2023.
    PDF Code
  12. arxiv
    Progressively Dual Prior Guided Few-shot Semantic Segmentation
    Qinglong Cao, Yuntian Chen, Xiwen Yao, Junwei Han
    arXiv, November. 2022.
    PDF Code
  13. TNNLS
    Learning to Assess Image Quality Like an Observer
    Xiwen Yao, Qinglong Cao, Xiaoxu Feng, Gong Cheng, Junwei Han
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), February. 2022.
    PDF
  14. CVPR
    Learning Non-target Knowledge for Few-shot Semantic Segmentation
    Yuanwei Liu, Nian Liu, Qinglong Cao, Xiwen Yao, Junwei Han, Ling Shao
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022)
    PDF Code
  15. TGRS
    Scale-Aware Detailed Matching for Few-Shot Aerial Image Semantic Segmentation
    Xiwen Yao, Qinglong Cao, Xiaoxu Feng, Gong Cheng, Junwei Han
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), October. 2021.
    PDF Code

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