Baoxiang Pan - RankMe

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HiHa: Introducing hierarchical harmonic decomposition to implicit neural compression for atmospheric data. Comput. Geosci. Zhewen Xu, Baoxiang Pan, Xiaohui Wei, Hongliang Li, Dongyuan Tian, Zijian Li, Changzheng Liu
2025	J	`jnl`	Efficient Generative AI Boosts Probabilistic Forecasting of Sudden Stratospheric Warmings. CoRR Ningning Tao, Fei Xie, Baoxiang Pan, Hongyu Wang, Han Huang, Zhongpu Qiu, Ke Gui, Jiali Luo, Xiaosong Chen
2025	J	`jnl`	Fast, scale-adaptive and uncertainty-aware downscaling of Earth system model fields with generative machine learning. Nat. Mac. Intell. Philipp Hess, Michael Aich, Baoxiang Pan, Niklas Boers
2025	J	`jnl`	Generative assimilation and prediction for weather and climate. CoRR 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
2025	J	`jnl`	Latent diffusion model for quantitative precipitation estimation and forecast at km scale. Environ. Model. Softw. Weidong Li, Baoxiang Pan, Tiejian Li, Congyi Nai, Zhaoxi Li, Jie Chao, Bo Lu, Qingyun Duan, Ming Pan
2025	J	`jnl`	Lightning the Night with Generative Artificial Intelligence. CoRR Tingting Zhou, Feng Zhang, Haoyang Fu, Baoxiang Pan, Renhe Zhang, Feng Lu, Zhixin Yang
2025	J	`jnl`	Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast. CoRR 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
2024	J	`jnl`	Conditional diffusion models for downscaling & bias correction of Earth system model precipitation. CoRR Michael Aich, Philipp Hess, Baoxiang Pan, Sebastian Bathiany, Yu Huang, Niklas Boers
2024	J	`jnl`	Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction. CoRR Fenghua Ling, Zeyu Lu, Jing-Jia Luo, Lei Bai, Swadhin K. Behera, Dachao Jin, Baoxiang Pan, Huidong Jiang, Toshio Yamagata
2024	J	`jnl`	Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Foundation Models. CoRR Philipp Hess, Michael Aich, Baoxiang Pan, Niklas Boers
2024	J	`jnl`	HiHa: Introducing Hierarchical Harmonic Decomposition to Implicit Neural Compression for Atmospheric Data. CoRR Zhewen Xu, Baoxiang Pan, Hongliang Li, Xiaohui Wei
2023	J	`jnl`	Enhancing Spatial Variability Representation of Radar Nowcasting with Generative Adversarial Networks. Remote. Sens. Aofan Gong, Ruidong Li, Baoxiang Pan, Haonan Chen, Guangheng Ni, Mingxuan Chen
2023	J	`jnl`	Transfer-Learning-Based Approach to Retrieve the Cloud Properties Using Diverse Remote Sensing Datasets. IEEE Trans. Geosci. Remote. Sens. Jingwei Li, Feng Zhang, Wenwen Li, Xuan Tong, Baoxiang Pan, Jun Li, Han Lin, Husi Letu, Farhan Mustafa
2018	J	`jnl`	Estimating Warehouse Rental Price using Machine Learning Techniques. Int. J. Comput. Commun. Control Yixuan Ma, Zhenji Zhang, Alexander Ihler, Baoxiang Pan