Baoxiang Pan

According to our database, Baoxiang Pan authored at least 13 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Efficient Generative AI Boosts Probabilistic Forecasting of Sudden Stratospheric Warmings.

Ningning Tao, Fei Xie, Baoxiang Pan, Hongyu Wang, Han Huang, Zhongpu Qiu, Ke Gui, Jiali Luo, Xiaosong Chen

CoRR, October, 2025

Lightning the Night with Generative Artificial Intelligence.

Tingting Zhou, Feng Zhang, Haoyang Fu, Baoxiang Pan, Renhe Zhang, Feng Lu, Zhixin Yang

CoRR, June, 2025

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast.

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

CoRR, May, 2025

Generative assimilation and prediction for weather and climate.

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

CoRR, March, 2025

Fast, scale-adaptive and uncertainty-aware downscaling of Earth system model fields with generative machine learning.

Philipp Hess, Michael Aich, Baoxiang Pan, Niklas Boers

Nat. Mac. Intell., 2025

Latent diffusion model for quantitative precipitation estimation and forecast at km scale.

Weidong Li, Baoxiang Pan, Tiejian Li, Congyi Nai, Zhaoxi Li, Jie Chao, Bo Lu, Qingyun Duan, Ming Pan

Environ. Model. Softw., 2025

2024

HiHa: Introducing Hierarchical Harmonic Decomposition to Implicit Neural Compression for Atmospheric Data.

Zhewen Xu, Baoxiang Pan, Hongliang Li, Xiaohui Wei

CoRR, 2024

Conditional diffusion models for downscaling & bias correction of Earth system model precipitation.

Michael Aich, Philipp Hess, Baoxiang Pan, Sebastian Bathiany, Yu Huang, Niklas Boers

CoRR, 2024

Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Foundation Models.

Philipp Hess, Michael Aich, Baoxiang Pan, Niklas Boers

CoRR, 2024

Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction.

Fenghua Ling, Zeyu Lu, Jing-Jia Luo, Lei Bai, Swadhin K. Behera, Dachao Jin, Baoxiang Pan, Huidong Jiang, Toshio Yamagata

CoRR, 2024

2023

Enhancing Spatial Variability Representation of Radar Nowcasting with Generative Adversarial Networks.

Aofan Gong, Ruidong Li, Baoxiang Pan, Haonan Chen, Guangheng Ni, Mingxuan Chen

Remote. Sens., July, 2023

Transfer-Learning-Based Approach to Retrieve the Cloud Properties Using Diverse Remote Sensing Datasets.

Jingwei Li, Feng Zhang, Wenwen Li, Xuan Tong, Baoxiang Pan, Jun Li, Han Lin, Husi Letu, Farhan Mustafa

IEEE Trans. Geosci. Remote. Sens., 2023

2018

Estimating Warehouse Rental Price using Machine Learning Techniques.

Yixuan Ma, Zhenji Zhang, Alexander Ihler, Baoxiang Pan

Int. J. Comput. Commun. Control, 2018