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Qinglong Cao

青年研究员
上海人工智能实验室

中国上海

 caoql2022@sjtu.edu.cn


关于我

我目前是上海人工智能实验室青年研究员。2026 年，我通过上海交通大学与宁波东方理工大学（暂名）联合培养项目获得博士学位。博士期间，我师从陈云天教授（张东晓教授团队，陈十一教授指导）和杨小康教授，并与马超教授保持紧密合作。

我于 2019 年和 2022 年分别获得西北工业大学学士、硕士学位，导师为韩军伟教授和姚西文教授。

我的研究聚焦于自进化 AI 智能体、自主科学研究与AI for Science。早期工作主要研究数据受限、领域感知的视觉学习：如何将先验知识、任务结构与基础模型系统性地融合，在有限监督下构建可泛化、可信赖的视觉系统。我关注小样本与开放词汇分割、提示学习和参数高效微调（PEFT），并将其应用于遥感、医学影像和AI for Science。目前，我希望将真实任务、环境交互和可验证反馈转化为能持续成长的能力。

荣誉与奖励

最新动态

研究兴趣

教育背景

受邀报告与演讲

论文发表

  1. KDD 2026
    Sci-PRM: A Tool Aware Process Reward Model for Scientific Reasoning Verification
    Xiangyu Zhao, Hengyuan Zhao, Yiheng Wang, Wanghan Xu, Yuhao Zhou, Qinglong Cao, Zhiwang Zhou, Lei Bai, Wenlong Zhang, Xiao-Ming Wu
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026).
    PDF
  2. PR 2026
    Dual-perspective Filter Pruning via Diversity and Independence Collaboration
    C. Gao, Qinglong Cao, X. Yao, X. Feng, G. Cheng
    Pattern Recognition (PR), 177:113321, 2026.
    Paper
  3. ECM:X 2026
    Enhancing Photovoltaic Power Forecasting with Cross-Variable Linear Integrated Enhanced Transformer
    Jiaxin Gao, Qinglong Cao, Yinghao Chu, Dongxiao Zhang, Yuntian Chen
    Energy Conversion and Management: X, 2026.
  4. ICASSP 2026
    MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts
    J. Gao, Qinglong Cao, Y. Chen
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026).
    PDF
  5. ICLR 2026
    Omni-Weather: A Unified Multimodal Model for Weather Radar Understanding and Generation
    Z. Zhou, Y. Pu, X. He, Y. Liu, Y. Chen, J. Gong, Qinglong Cao, et al.
    International Conference on Learning Representations (ICLR 2026).
    PDF
  6. 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 (AAAI 2026), February 2026.
    PDF
  7. TGRS 2026
    Leveraging Pretrained Diffusion Model for Semantic 3D Reconstruction from Monocular Remote Sensing Image
    Xin Xu, Ruizhe Deng, Qinglong Cao, Zhiling Guo, Yuntian Chen, Jinyue Yan
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 64:5603516, January 2026.
  8. 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
  9. 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
  10. 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
  11. Nexus
    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, 2025.
    PDF Code
  12. 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 (AAAI 2025), February 2025.
    PDF Code
  13. 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
  14. 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 (CVPR 2024), June 2024.
    PDF Code
  15. AAAI2024
    Domain-Controlled Prompt Learning
    Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang
    Association for the Advancement of Artificial Intelligence (AAAI 2024), February 2024.
    PDF Code
  16. 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
  17. 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
  18. arXiv
    Progressively Dual Prior Guided Few-shot Semantic Segmentation
    Qinglong Cao, Yuntian Chen, Xiwen Yao, Junwei Han
    arXiv, November 2022.
    PDF Code
  19. 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
  20. CVPR2022
    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
  21. 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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