Wenlong Zhang

Young Researcher of AI for Science Center, Shanghai AI Laboratory
zhangwenlong@pjlab.org.cn
Google scholar | Github | Researchgate

I am a Young Researcher of Shanghai AI Laboratory, 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 Laboratory 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.

Currently, I lead a team engaged in scientific discovery evaluation and open-source platforms. We have launched the SciPrismax project. Recently, my primary areas of focus include:

Large-scale evaluation: How do we define, evaluate, and utilize the key capabilities of large models and agents in scientific discovery?
Post-training algorithm: How do we enhance multimodal understanding and reasoning with scientific preferences through reinforcement learning and tool call?
Human-AI collaboration: How do we align the knowledge of scientists with foundational models and agents?
Scientific foundation model: How do we formulate understanding, generation, and reasoning into a unified model for science?

Recent Research Highlights:

Large-scale evaluation:
- Multi-modal understanding: Scientists’ First Exam(Preprint), MSEarth(Preprint), OmniEarth-Bench(Preprint)
- Multi-modal reasoning: EarthSE(Preprint), PhysUniBench(Preprint)
- GUI operation: VeriGUI(Preprint)
Post-training algorithm:
- Reinforcement learning for weather: Align-DA(Preprint)
- Multi-modal learning for weather: RadarQA(Preprint)
Human-AI collaboration:
- Agents for meta-analysis: Manalyzer(Preprint)
- Agents for Earth scientific discovery: EarthLink(Preprint)
Scientific foundation model:
- Weather unified model: WeatherGFM(ICLR2025)
- Vision unified model: Lumina-omnilv(Preprint)
- Vision representation: Decouple to Reconstruct(ICCV2025)

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

news

Jun 12, 2025	We have released the large-scale multimodal scientific benchmark for scientific discovery scenarios, Scientists’ First Exam. Welcome to download and try it on Hugging Face. One papers were accepted by ICCV.
Nov 08, 2024	Two papers were accepted by ICLR2025. Our WeatherGFM is the first generalist weather foundation model that can flexibly handle more than 10 weather understanding tasks. It outperforms ECMWF Integrated Forecasting System (IFS) forecast results.
Nov 07, 2024	One papers were accepted by ICASSP2025. We propose the first diffusion-based method, DiffSR, to synthesize weather radar data from meteorological satellite data.
Aug 21, 2024	One papers were accepted by EMNLP2024. One papers were accepted by NeurIPS.
Jul 04, 2024	One papers were accepted by ECCV. One papers were accepted by ACM MM.
Sep 22, 2023	One papers were accepted by NeurIPS. One papers were accepted by ICLR and was selected for an Spotlight presentation in December.
Nov 20, 2022	One papers were accepted by ICLR. One papers were accepted by CVPR workshop.
Jul 20, 2021	One papers were accepted by T-PAMI. One papers were accepted by NeurIPS.
May 20, 2019	One papers were accepted by ICCV and was selected for an oral presentation.

selected publications

arXiv

Scientists’ First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning

Yuhao Zhou , Yiheng Wang , Xuming He , Ruoyao Xiao , Zhiwei Li , Qiantai Feng , Zijie Guo , Yuejin Yang , Hao Wu , Wenxuan Huang , Jiaqi Wei , Dan Si , Xiuqi Yao , Jia Bu , Haiwen Huang , and 12 more authors

In arXiv , 2025

arXiv Website Huggingface Synced
arXiv

VeriGUI: Verifiable Long-Chain GUI Dataset

Shunyu Liu , Minghao Liu , Huichi Zhou , Zhenyu Cui , Yang Zhou , Yuhao Zhou , Wendong Fan , Ge Zhang , Jiajun Shi , Weihao Xuan , Jiaxing Huang , Shuang Luo , Fang Wu , Heli Qi , Qingcheng Zeng , and 17 more authors

In arXiv , 2025

PDF Huggingface
arXiv

EarthLink: Interpreting Climate Signals with Self-Evolving AI Agents

Zijie Guo , Jiong Wang , Xiaoyu Yue , Wangxu Wei , Zhe Jiang , Wanghan Xu , Ben Fei , Wenlong Zhang , Xinyu Gu , Lijing Cheng , Jing-Jia Luo , Chao Li , Yaqiang Wang , Tao Chen , Wanli Ouyang , and 2 more authors

In arXiv , 2025

arXiv
arXiv

Exploring Scalable Unified Modeling for General Low-Level Vision

Xiangyu Chen , Kaiwen Zhu , Yuandong Pu , Shuo Cao , Xiaohui Li , Wenlong Zhang , Yihao Liu , Yu Qiao , Jiantao Zhou , and Chao Dong

In arXiv , 2025

arXiv
arXiv

PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models

Lintao Wang , Encheng Su , Jiaqi Liu , Pengze Li , Peng Xia , Jiabei Xiao , Wenlong Zhang , Xinnan Dai , Xi Chen , Yuan Meng , Mingyu Ding , Lei Bai , Wanli Ouyang , Shixiang Tang , Aoran Wang , and 1 more author

In arXiv , 2025

arXiv
arXiv

Manalyzer: End-to-end Automated Meta-analysis with Multi-agent System

Wanghan Xu , Wenlong Zhang , Fenghua Ling , Ben Fei , Yusong Hu , Fangxuan Ren , Jintai Lin , Wanli Ouyang , and Lei Bai

In arXiv , 2025

arXiv
arXiv

Lumina-omnilv: A unified multimodal framework for general low-level vision

Yuandong Pu , Le Zhuo , Kaiwen Zhu , Liangbin Xie , Wenlong Zhang , Xiangyu Chen , Peng Gao , Yu Qiao , Chao Dong , and Yihao Liu

In arXiv , 2025

arXiv
arXiv

OmniEarth-Bench: Towards Holistic Evaluation of Earth’s Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data

Fengxiang Wang , Mingshuo Chen , Xuming He , YiFan Zhang , Feng Liu , Zijie Guo , Zhenghao Hu , Jiong Wang , Jingyi Xu , Zhangrui Li , Fenghua Ling , Ben Fei , Weijia Li , Long Lan , Wenjing Yang , and 2 more authors

In arXiv , 2025

arXiv
arXiv

MSEarth: A Benchmark for Multimodal Scientific Comprehension of Earth Science

Xiangyu Zhao , Wanghan Xu , Bo Liu , Yuhao Zhou , Fenghua Ling , Ben Fei , Xiaoyu Yue , Lei Bai , Wenlong Zhang , and Xiao-Ming Wu

In arXiv , 2025

arXiv
arXiv

Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences

Jing-An Sun , Hang Fan , Junchao Gong , Ben Fei , Kun Chen , Fenghua Ling , Wenlong Zhang , Wanghan Xu , Li Yan , Pierre Gentine , and Lei Bai

In arXiv , 2025

arXiv
arXiv

EarthSE: A Benchmark Evaluating Earth Scientific Exploration Capability for Large Language Models

Wanghan Xu , Xiangyu Zhao , Yuhao Zhou , Xiaoyu Yue , Ben Fei , Fenghua Ling , Wenlong Zhang , and Lei Bai

In arXiv , 2025

arXiv
arXiv

Exploring Representation-Aligned Latent Space for Better Generation

Wanghan Xu , Xiaoyu Yue , Zidong Wang , Yao Teng , Wenlong Zhang , Xihui Liu , Luping Zhou , Wanli Ouyang , and Lei Bai

In arXiv , 2025

arXiv
ICCV

Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion

Yidi Liu , Dong Li , Yuxin Ma , Jie Huang , Wenlong Zhang , Xueyang Fu , and Zheng-jun Zha

In Accepted to IEEE/CVF International Conference on Computer Vision , 2025

arXiv
CEE

The operational medium-range deterministic weather forecasting can be extended beyond a 10-day lead time

Kang Chen , Tao Han , Fenghua Ling , Junchao Gong , Lei Bai , Xinyu Wang , Jing-Jia Luo , Ben Fei , Wenlong Zhang , Xi Chen , Leiming Ma , Tianning Zhang , Rui Su , Yuanzheng Ci , Bin Li , and 2 more authors

In Communications Earth & Environment , 2025

PDF
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

arXiv
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

arXiv
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

arXiv
CoLM

Understanding Layer Significance in LLM Alignment

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

In Conference on Language Modeling , 2024

arXiv
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
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
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

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},
}

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

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},
}

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},
}

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},
}

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},
}

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},
}

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

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},
}

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

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 , Li-Ming Zhan , and Xiao-Ming Wu

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 , 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},
}