Estimating Warehouse Rental Price using Machine Learning Techniques. - Yixuan Ma; Zhenji Zhang; Alexander Ihler; Baoxiang Pan (Int. J. Comput. Commun. Control, 2018)

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 026; Han Lin; Husi Letu; Farhan Mustafa (IEEE Trans. Geosci. Remote. Sens., 2023)

Enhancing Spatial Variability Representation of Radar Nowcasting with Generative Adversarial Networks. - Aofan Gong; Ruidong Li 003; Baoxiang Pan; Haonan Chen 001; Guangheng Ni; Mingxuan Chen (Remote. Sens., 2023)

Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction. - Fenghua Ling; Zeyu Lu; Jing-Jia Luo; Lei Bai 001; Swadhin K. Behera; Dachao Jin; Baoxiang Pan; Huidong Jiang; Toshio Yamagata (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)

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)

HiHa: Introducing Hierarchical Harmonic Decomposition to Implicit Neural Compression for Atmospheric Data. - Zhewen Xu; Baoxiang Pan; Hongliang Li; Xiaohui Wei (CoRR, 2024)

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)

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; et al. (CoRR, 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; et al. (CoRR, 2025)

Lightning the Night with Generative Artificial Intelligence. - Tingting Zhou; Feng Zhang; Haoyang Fu; Baoxiang Pan; Renhe Zhang; Feng Lu; Zhixin Yang (CoRR, 2025)