Wenlong Zhang

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Postdoc Researcher in AI4Science, Shanghai AI Lab
zhangwenlong@pjlab.org.cn
Google scholar | Github | Researchgate

I am a Postdoc Researcher with OpenScienceLab at Shanghai AI Lab, working with Prof. Wanli Ouyang and Prof. Lei Bai. Before that, I got the PhD degree from Hong Kong Polytechnic University, working with Prof. Xiao-Ming Wu. I also interned at XPixel group in Shanghai AI Lab and SIAT-CAS, working with Prof. Chao Dong and Prof. Yu Qiao. In 2018, I got the Master degree from the Beijing Institute of Technology, supervised by Prof. Weidong Hu.

I am passionate about exploring advanced AI models to address challenges across large-scale Earth systems understanding. Recently, my primary areas of focus include:

  • AI for Earth Science: Larger earth foundation model, Multi-modal weather generation and understanding
  • Computer Vision: Multi-modal image generation, Image restoration and super-resolution

If you are interested in the above research topics and would like to join us with research intern or Joint Training Ph.D. Project at Shanghai AI Lab, feel free to drop me an email zhangwenlong@pjlab.org.cn. Students with good foundations in AI background or earth science are appreciated.

selected publications

  1. arXiv
    A Preliminary Exploration Towards General Image Restoration
    Xiangtao Kong ,  Jinjin Gu ,  Yihao Liu ,  Wenlong Zhang Xiangyu Chen ,  Yu Qiao , and 1 more author
    In arXiv , 2024
  2. arXiv
    UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation
    Xiangyu Zhao ,  Yuehan Zhang ,  Wenlong Zhang ,  and  Xiao-Ming Wu
    In arXiv , 2024
  3. MM
    Learning A Low-Level Vision Generalist via Visual Task Prompt
    Xiangyu Chen ,  Yihao Liu ,  Yuandong Pu ,  Wenlong Zhang ,  Jiantao Zhou , and 2 more authors
    In ACM Multimedia , 2024
  4. ECCV
    GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity
    Shuo Cao ,  Yihao Liu ,  Wenlong Zhang ,  Yu Qiao ,  and  Chao Dong
    In European Conference on Computer Vision(ECCV) , 2024
  5. arXiv
    Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
    Wanghan Xu ,  Fenghua Ling ,  Wenlong Zhang ,  Tao Han ,  Hao Chen , and 2 more authors
    In arXiv preprint , 2024
  6. ICLR Spotlight
    SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
    Wenlong Zhang ,  Xiaohui Li ,  Xiangyu Chen ,  Yu Qiao ,  Xiao-Ming Wu , and 1 more author
    In International Conference on Learning Representations (ICLR Spotlight) , 2024
  7. arXiv
    HAT: Hybrid Attention Transformer for Image Restoration
    Xiangyu Chen ,  Xintao Wang ,  Wenlong Zhang ,  Xiangtao Kong ,  Yu Qiao , and 2 more authors
    In arXiv preprint , 2023
  8. NeurIPS
    Real-World Image Super-Resolution as Multi-Task Learning
    Wenlong Zhang ,  Xiaohui Li ,  Guangyuan Shi ,  Xiangyu Chen ,  Yu Qiao , and 3 more authors
    In Advances in Neural Information Processing Systems (NeurIPS) , 2023
  9. ICLR
    Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
    Guangyuan Shi ,  Qimai Li ,  Wenlong Zhang ,  Jiaxin Chen ,  and  Xiao-Ming Wu
    In The Eleventh International Conference on Learning Representations (ICLR) , 2023
  10. TGRS
    Spatial Resolution Matching of Microwave Radiometer Measurements Using Iterative Deconvolution with Close Loop Priors (ICLP)
    Zhiyu Yao ,  Weidong Hu ,  Zhiyan Feng ,  Wenlong Zhang ,  Yang Liu , and 2 more authors
    In IEEE Transactions on Geoscience and Remote Sensing , 2023
  11. ICCV oral
    Ranksrgan: Generative adversarial networks with ranker for image super-resolution
    Wenlong Zhang ,  Yihao Liu ,  Chao Dong ,  and  Yu Qiao
    In Proceedings of the IEEE/CVF International Conference on Computer Vision , 2019
  12. T-PAMI
    Ranksrgan: Generative adversarial networks with ranker for image super-resolution
    Wenlong Zhang ,  Yihao Liu ,  Chao Dong ,  and  Yu Qiao
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
  13. NeurIPS spotlight
    Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
    Guangyuan Shi ,  Jiaxin Chen ,  Wenlong Zhang ,  Li-Ming Zhan ,  and  Xiao-Ming Wu
    Advances in Neural Information Processing Systems, 2021
  14. CVPRw oral
    A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds
    Wenlong Zhang ,  Guangyuan Shi ,  Yihao Liu ,  Chao Dong ,  and  Xiao-Ming Wu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , Jun 2022