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Journal Articles
- 2025
[j5]Weidong Li, Baoxiang Pan, Tiejian Li, Congyi Nai, Zhaoxi Li, Jie Chao, Bo Lu, Qingyun Duan, Ming Pan:
Latent diffusion model for quantitative precipitation estimation and forecast at km scale. Environ. Model. Softw. 194: 106701 (2025)- [j4]Philipp Hess
, Michael Aich, Baoxiang Pan, Niklas Boers:
Fast, scale-adaptive and uncertainty-aware downscaling of Earth system model fields with generative machine learning. Nat. Mac. Intell. 7(3): 363-373 (2025) - 2023
- [j3]Aofan Gong, Ruidong Li, Baoxiang Pan, Haonan Chen, Guangheng Ni, Mingxuan Chen:
Enhancing Spatial Variability Representation of Radar Nowcasting with Generative Adversarial Networks. Remote. Sens. 15(13): 3306 (2023) - [j2]Jingwei Li, Feng Zhang, Wenwen Li, Xuan Tong, Baoxiang Pan, Jun Li, Han Lin, Husi Letu, Farhan Mustafa:
Transfer-Learning-Based Approach to Retrieve the Cloud Properties Using Diverse Remote Sensing Datasets. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - 2018
- [j1]Yixuan Ma, Zhenji Zhang, Alexander Ihler, Baoxiang Pan:
Estimating Warehouse Rental Price using Machine Learning Techniques. Int. J. Comput. Commun. Control 13(2): 235-250 (2018)
Informal and Other Publications
- 2025
- [i7]Shangshang Yang, Congyi Nai, Xinyan Liu, Weidong Li, Jie Chao, Jingnan Wang, Leyi Wang, Xichen Li, Xi Chen, Bo Lu, Ziniu Xiao, Niklas Boers, Huiling Yuan, Baoxiang Pan:
Generative assimilation and prediction for weather and climate. CoRR abs/2503.03038 (2025) - [i6]Jingnan Wang, Jie Chao, Shangshang Yang, Congyi Nai, Kaijun Ren, Kefeng Deng, Xi Chen, Yaxin Liu, Hanqiuzi Wen, Ziniu Xiao, Lifeng Zhang, Xiaodong Wang, Jiping Guan, Baoxiang Pan:
Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast. CoRR abs/2505.04396 (2025) - [i5]Tingting Zhou, Feng Zhang, Haoyang Fu, Baoxiang Pan, Renhe Zhang, Feng Lu, Zhixin Yang:
Lightning the Night with Generative Artificial Intelligence. CoRR abs/2506.22511 (2025) - 2024
- [i4]Fenghua Ling, Zeyu Lu, Jing-Jia Luo, Lei Bai, Swadhin K. Behera, Dachao Jin, Baoxiang Pan, Huidong Jiang, Toshio Yamagata:
Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction. CoRR abs/2402.06646 (2024) - [i3]Philipp Hess, Michael Aich, Baoxiang Pan, Niklas Boers:
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Foundation Models. CoRR abs/2403.02774 (2024) - [i2]Michael Aich, Philipp Hess, Baoxiang Pan, Sebastian Bathiany, Yu Huang, Niklas Boers:
Conditional diffusion models for downscaling & bias correction of Earth system model precipitation. CoRR abs/2404.14416 (2024) - [i1]Zhewen Xu, Baoxiang Pan, Hongliang Li, Xiaohui Wei:
HiHa: Introducing Hierarchical Harmonic Decomposition to Implicit Neural Compression for Atmospheric Data. CoRR abs/2411.06155 (2024)
Coauthor Index
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