avatar

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 . I have broad research interests in data-limited visual learning, including few-shot segmentation, open-vocabulary segmentation, PEFT, and prompt learning. Recently, my research has involved many computer vision tasks like segmentation, classification, superresolution, generation, remote sensing image processing, and AI for science.

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. 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
  2. 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
  3. arXiv
    Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research
    Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhenzhong Zeng, Xiaokang Yang, Dongxiao Zhang
    arXiv
    PDF Code
  4. 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
  5. 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
  6. 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
  7. 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
  8. arxiv
    Progressively Dual Prior Guided Few-shot Semantic Segmentation
    Qinglong Cao, Yuntian Chen, Xiwen Yao, Junwei Han
    arXiv, November. 2022.
    PDF Code
  9. 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
  10. 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
  11. 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

Services

Conference Reviewers/Program Committee

Journal Reviewers

Membership & Activities