Wenlong Zhang

Postdoc Researcher (Incoming) in AI4Science, Shanghai AI Lab
PhD student in CS, The Hong Kong Polytechnic University
wenlong.zhang@connect.polyu.hk
Google scholar | Github | Researchgate

I am a Postdoc Researcher (Incoming) at Shanghai AI Lab, working with Prof. Wanli Ouyang and Prof. Lei Bai. I am a PhD student at Hong Kong Polytechnic University, working with Prof. Xiao-Ming Wu. Before that, I was a Research Intern at XPixel group with Prof. Chao Dong and Prof. Yu Qiao in Shanghai AI Lab and SIAT-CAS. 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 and prediction. Recently, my primary areas of focus include:

AI for Earth Science: Multi-modal precipitation generation and estimation, Climat downscaling
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 system forecasting are appreciated.

selected publications

ICLR Spotlight

SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution

Wenlong Zhang , Xiaohui Li , Xiangyu Chen , and 3 more authors

In International Conference on Learning Representations (ICLR Spotlight) , 2024

arXiv Bib Code

@inproceedings{zhang2023arxiv,
  title = {SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution},
  author = {Zhang, Wenlong and Li, Xiaohui and Chen, Xiangyu and Qiao, Yu and Wu, Xiao-Ming and Dong, Chao},
  booktitle = {International Conference on Learning Representations (ICLR Spotlight)},
  year = {2024},
}

arXiv

HAT: Hybrid Attention Transformer for Image Restoration

Xiangyu Chen , Xintao Wang , Wenlong Zhang , and 4 more authors

In arXiv preprint , 2023

arXiv Bib Code

@inproceedings{chen2023arxiv,
  title = {HAT: Hybrid Attention Transformer for Image Restoration},
  author = {Chen, Xiangyu and Wang, Xintao and Zhang, Wenlong and Kong, Xiangtao and Qiao, Yu and Zhou, Jiantao and Dong, Chao},
  booktitle = {arXiv preprint},
  year = {2023},
}

NeurIPS

Real-World Image Super-Resolution as Multi-Task Learning

Wenlong Zhang , Xiaohui Li , Guangyuan Shi , and 5 more authors

In Advances in Neural Information Processing Systems (NeurIPS) , 2023

arXiv Bib Code

@inproceedings{zhang2023tgsr,
  title = {Real-World Image Super-Resolution as Multi-Task Learning},
  author = {Zhang, Wenlong and Li, Xiaohui and Shi, Guangyuan and Chen, Xiangyu and Qiao, Yu and Zhang, Xiaoyun and Wu, Xiao-Ming and Dong, Chao},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
}

ICLR

Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning

Guangyuan Shi , Qimai Li , Wenlong Zhang , and 2 more authors

In The Eleventh International Conference on Learning Representations (ICLR) , 2023

arXiv Bib Code

@inproceedings{zhang2023tgss,
  title = {Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning},
  author = {Shi, Guangyuan and Li, Qimai and Zhang, Wenlong and Chen, Jiaxin and Wu, Xiao-Ming},
  booktitle = {The Eleventh International Conference on Learning Representations (ICLR)},
  year = {2023},
}

TGRS

Spatial Resolution Matching of Microwave Radiometer Measurements Using Iterative Deconvolution with Close Loop Priors (ICLP)

Zhiyu Yao , Weidong Hu , Zhiyan Feng , and 4 more authors

In IEEE Transactions on Geoscience and Remote Sensing , 2023

arXiv Bib Code

@inproceedings{2023iclp,
  title = {Spatial Resolution Matching of Microwave Radiometer Measurements Using Iterative Deconvolution with Close Loop Priors (ICLP)},
  author = {Yao, Zhiyu and Hu, Weidong and Feng, Zhiyan and Zhang, Wenlong and Liu, Yang and Xu, Zhihao and Ligthart, Leo P},
  booktitle = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2023},
}

ICCV oral

Ranksrgan: Generative adversarial networks with ranker for image super-resolution

Wenlong Zhang , Yihao Liu , Chao Dong , and 1 more author

In Proceedings of the IEEE/CVF International Conference on Computer Vision , 2019

arXiv Bib Code Website

@inproceedings{zhang2019ranksrgan,
  title = {Ranksrgan: Generative adversarial networks with ranker for image super-resolution},
  author = {Zhang, Wenlong and Liu, Yihao and Dong, Chao and Qiao, Yu},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages = {3096--3105},
  year = {2019},
}

T-PAMI

Ranksrgan: Generative adversarial networks with ranker for image super-resolution

Wenlong Zhang , Yihao Liu , Chao Dong , and 1 more author

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

arXiv Bib Code Website

@article{wenlong2021ranksrgan,
  title = {Ranksrgan: Generative adversarial networks with ranker for image super-resolution},
  author = {Zhang, Wenlong and Liu, Yihao and Dong, Chao and Qiao, Yu},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year = {2021},
  publisher = {IEEE},
}

NeurIPS spotlight

Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima

Guangyuan Shi , Jiaxin Chen , Wenlong Zhang , and 2 more authors

Advances in Neural Information Processing Systems, 2021

arXiv Bib Code

@article{shi2021overcoming,
  title = {Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima},
  author = {Shi, Guangyuan and Chen, Jiaxin and Zhang, Wenlong and Zhan, Li-Ming and Wu, Xiao-Ming},
  journal = {Advances in Neural Information Processing Systems},
  volume = {34},
  year = {2021},
}

CVPRw oral

A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds

Wenlong Zhang , Guangyuan Shi , Yihao Liu , and 2 more authors

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , Jun 2022

arXiv Bib Supp Code

@inproceedings{Zhang_2022_CVPR,
  author = {Zhang, Wenlong and Shi, Guangyuan and Liu, Yihao and Dong, Chao and Wu, Xiao-Ming},
  title = {A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
  month = jun,
  year = {2022},
  pages = {527-536},
}