Wenlong Zhang

prof_pic.jpg

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: build broad scientific benchmarks for large models and agents.
  • Post-training algorithm: efficient and simple methods that raise scientific multi-modal reasoning.
  • Data-centric AI: synthesis and generation of scientific AI data (e.g., QA and CoT) with large models and agents.
  • Unified scientific model: design foundation model for unified understanding and generation across scientific domains.

Recent Research Highlights:

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

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

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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 arXiv , 2025
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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