Publications

2025

1. ICLR

   WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning

   Xiangyu Zhao ,  Zhiwang Zhou ,  Wenlong Zhang* ,  Yihao Liu ,  Xiangyu Chen ,  Junchao Gong ,  Hao Chen ,  Ben Fei ,  Shiqi Chen ,  Xiao-Ming Wu Wanli Ouyang ,  and  Lei Bai

   In International Conference on Learning Representations , 2025
2. ICLR

   Postcast: Generalizable postprocessing for precipitation nowcasting via unsupervised blurriness modeling

   Junchao Gong ,  Siwei Tu ,  Weidong Yang ,  Ben Fei ,  Kun Chen ,  Wenlong Zhang ,  Xiaokang Yang ,  Wanli Ouyang ,  and  Lei Bai

   In International Conference on Learning Representations , 2025
3. ICASSP

   DiffSR: Learning Radar Reflectivity Synthesis via Diffusion Model from Satellite Observations

   Xuming He ,  Zhiwang Zhou ,  Wenlong Zhang* ,  Xiangyu Zhao ,  Hao Chen ,  Shiqi Chen ,  and  Lei Bai

   In International Conference on Acoustics, Speech, and Signal Processing , 2025

2024

1. Arxiv

   Understanding Layer Significance in LLM Alignment

   Guangyuan Shi ,  Zexin Lu ,  Xiaoyu Dong ,  Wenlong Zhang ,  Xuanyu Zhang ,  Yujie Feng ,  and  Xiao-Ming Wu

   In arXiv preprint arXiv:2410.17875 , 2024
2. arXiv

   A Preliminary Exploration Towards General Image Restoration

   Xiangtao Kong ,  Jinjin Gu ,  Yihao Liu ,  Wenlong Zhang ,  Xiangyu Chen ,  Yu Qiao ,  and  Chao Dong

   In arXiv , 2024

   arXiv
3. EMNLP

   UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation

   Xiangyu Zhao ,  Yuehan Zhang ,  Wenlong Zhang ,  and  Xiao-Ming Wu

   In Empirical Methods in Natural Language Processing , 2024

   arXiv
4. MM

   Learning A Low-Level Vision Generalist via Visual Task Prompt

   Xiangyu Chen ,  Yihao Liu ,  Yuandong Pu ,  Wenlong Zhang ,  Jiantao Zhou ,  Yu Qiao ,  and  Chao Dong

   In ACM Multimedia , 2024

   arXiv
5. 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

   arXiv Bib Code

   @inproceedings{GRIDS,
     title = {GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity},
     author = {Cao, Shuo and Liu, Yihao and Zhang, Wenlong and Qiao, Yu and Dong, Chao},
     booktitle = {European Conference on Computer Vision(ECCV)},
     year = {2024},
   }

6. NeurIPS

   Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling

   Wanghan Xu ,  Fenghua Ling ,  Wenlong Zhang ,  Tao Han ,  Hao Chen ,  Wanli Ouyang ,  and  Lei Bai

   In Advances in Neural Information Processing Systems , 2024

   arXiv
7. 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  Chao Dong

   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},
   }

2023

1. arXiv

   HAT: Hybrid Attention Transformer for Image Restoration

   Xiangyu Chen ,  Xintao Wang ,  Wenlong Zhang ,  Xiangtao Kong ,  Yu Qiao ,  Jiantao Zhou ,  and  Chao Dong

   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},
   }

2. NeurIPS

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

   Wenlong Zhang ,  Xiaohui Li ,  Guangyuan Shi ,  Xiangyu Chen ,  Yu Qiao ,  Xiaoyun Zhang ,  Xiao-Ming Wu ,  and  Chao Dong

   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},
   }

3. 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

   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},
   }

4. 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 ,  Zhihao Xu ,  and  Leo P Ligthart

   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},
   }

2022

1. 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

   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},
   }

2021

1. 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, Jun 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},
   }

2. 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, Jun 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},
   }

2020

1. Sensors

   Radar Cross Section Near-Field to Far-Field Prediction for Isotropic-Point Scattering Target Based on Regression Estimation

   Yang Liu ,  Weidong Hu ,  Wenlong Zhang ,  Jianhang Sun ,  Baige Xing ,  and  Leo Ligthart

   Sensors, Jun 2020

   Bib PDF

   @article{liu2020radar,
     title = {Radar Cross Section Near-Field to Far-Field Prediction for Isotropic-Point Scattering Target Based on Regression Estimation},
     author = {Liu, Yang and Hu, Weidong and Zhang, Wenlong and Sun, Jianhang and Xing, Baige and Ligthart, Leo},
     journal = {Sensors},
     volume = {20},
     number = {21},
     pages = {6023},
     year = {2020},
   }

2019

1. 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 , Jun 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},
     google_scholar_id = {UnMImiUAAAAJ},
   }

2. Remote Sensing

   Spatial resolution enhancement of satellite microwave radiometer data with deep residual convolutional neural network

   Weidong Hu ,  Yade Li ,  Wenlong Zhang ,  Shi Chen ,  Xin Lv ,  and  Leo Ligthart

   Remote Sensing, Jun 2019

   Bib PDF

   @article{hu2019spatial,
     title = {Spatial resolution enhancement of satellite microwave radiometer data with deep residual convolutional neural network},
     author = {Hu, Weidong and Li, Yade and Zhang, Wenlong and Chen, Shi and Lv, Xin and Ligthart, Leo},
     journal = {Remote Sensing},
     volume = {11},
     number = {7},
     pages = {771},
     year = {2019},
   }

3. Remote Sensing

   Spatial resolution matching of microwave radiometer data with convolutional neural network

   Yade Li ,  Weidong Hu ,  Shi Chen ,  Wenlong Zhang ,  Rui Guo ,  Jingwen He ,  and  Leo Ligthart

   Remote Sensing, Jun 2019

   Bib PDF

   @article{li2019spatial,
     title = {Spatial resolution matching of microwave radiometer data with convolutional neural network},
     author = {Li, Yade and Hu, Weidong and Chen, Shi and Zhang, Wenlong and Guo, Rui and He, Jingwen and Ligthart, Leo},
     journal = {Remote Sensing},
     volume = {11},
     number = {20},
     pages = {2432},
     year = {2019},
   }

2018

1. Remote Sensing

   A deconvolution technology of microwave radiometer data using convolutional neural networks

   Weidong Hu ,  Wenlong Zhang ,  Shi Chen ,  Xin Lv ,  Dawei An ,  and  Leo Ligthart

   Remote Sensing, Jun 2018

   Bib PDF

   @article{hu2018deconvolution,
     title = {A deconvolution technology of microwave radiometer data using convolutional neural networks},
     author = {Hu, Weidong and Zhang, Wenlong and Chen, Shi and Lv, Xin and An, Dawei and Ligthart, Leo},
     journal = {Remote Sensing},
     volume = {10},
     number = {2},
     pages = {275},
     year = {2018},
   }