Xiaoqun Cao - RankMe

25 papers A* 1B 2C 1Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Novel Conditional Diffusion-Based Framework for Advanced Reconstruction of Cloud Vertical Structure. IEEE Geosci. Remote. Sens. Lett. Yanan Guo, Junqiang Song, Chuanfeng Zhao, Xiaoqun Cao, Hongze Leng, Yikun Yang
2026	J	`jnl`	A Physics-Guided Hierarchical Transformer Framework for Sea Surface Temperature Forecasting and Marine Heatwave Detection. IEEE Geosci. Remote. Sens. Lett. Yanan Guo, Junqiang Song, Xiaoqun Cao, Hongze Leng
2026	J	`jnl`	PGMNO: A physics-Guided mamba neural operator framework for partial differential equations. Neural Networks Yanan Guo, Junqiang Song, Xiaoqun Cao, Chuanfeng Zhao, Fukang Yin, Hongze Leng
2025	J	`jnl`	A New Approach for Nighttime Sea Fog Detection Based on VIIRS/DNB Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Wuyi Qiu, Shuo Ma, Xiaoqun Cao, Shensen Hu, Mengge Zhou
2025	A*	`conf`	Data-Driven Super-Resolution Reconstruction of Quasi-Geostrophic Turbulence Via Enhanced Diffusion Model and Fourier Neural Operator. ICDM Yanan Guo, Junqiang Song, Xiaoqun Cao, Hongze Leng
2025	J	`jnl`	Enhancing Robustness of Variational Data Assimilation in Chaotic Systems: An α-4DVar Framework with Rényi Entropy and α-Generalized Gaussian Distributions. Entropy Yuchen Luo, Xiaoqun Cao, Kecheng Peng, Mengge Zhou, Yanan Guo
2025	—	`conf`	Solving Seismic Wave Propagation Using an Adaptive Collocation Point-Based Physics-Informed Neural Network. ICIC (21) Yanan Guo, Xiaoqun Cao, Mengge Zhou
2023	—	`conf`	An Efficient Approximation Method Based on Enhanced Physics-Informed Neural Networks for Solving Localized Wave Solutions of PDEs. ICANN (5) Yanan Guo, Xiaoqun Cao, Kecheng Peng, Wei Dong, Wenlong Tian, Mengge Zhou
2023	B	`conf`	Application of Improved Physics-Informed Deep Learning Based on Activation Function for Solving Nonlinear Soliton Equation. IJCNN Yanan Guo, Xiaoqun Cao, Kecheng Peng
2023	B	`conf`	Learning Rogue Waves of Nonlinear Schrödinger Equation with Enhanced Physics-Informed Neural Networks Simulator. SMC Yanan Guo, Xiaoqun Cao, Wei Dong, Kecheng Peng, Wenlong Tian, Mengge Zhou
2023	—	`conf`	Solving Localized Wave Solutions of the Nonlinear PDEs Using Physics-Constraint Deep Learning Method. ICONIP (7) Yanan Guo, Xiaoqun Cao, Mengge Zhou, Kecheng Peng, Wenlong Tian
2023	—	`conf`	Surrogate Modeling for Soliton Wave of Nonlinear Partial Differential Equations via the Improved Physics-Informed Deep Learning. ICIC (2) Yanan Guo, Xiaoqun Cao, Kecheng Peng, Wenlong Tian, Mengge Zhou
2022	—	`conf`	Position Error Correction for Satellite Precipitation Products Using Image Registration based on Unsupervised Learning. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Wenlong Tian, Xiaoqun Cao, Xiaoyong Li, Kecheng Peng
2022	J	`jnl`	Technology for Position Correction of Satellite Precipitation and Contributions to Error Reduction - A Case of the '720' Rainstorm in Henan, China. Sensors Wenlong Tian, Xiaoqun Cao, Kecheng Peng
2021	J	`jnl`	Ensemble Empirical Mode Decomposition with Adaptive Noise with Convolution Based Gated Recurrent Neural Network: A New Deep Learning Model for South Asian High Intensity Forecasting. Symmetry Kecheng Peng, Xiaoqun Cao, Bainian Liu, Yanan Guo, Wenlong Tian
2021	J	`jnl`	Investigation of Local Weighting Filtering on Randomization Technique Estimates in a Data Assimilation System. Symmetry Xiang Xing, Bainian Liu, Weimin Zhang, Xiaoqun Cao, Jingzhe Sun
2021	J	`jnl`	Polar Vortex Multi-Day Intensity Prediction Relying on New Deep Learning Model: A Combined Convolution Neural Network with Long Short-Term Memory Based on Gaussian Smoothing Method. Entropy Kecheng Peng, Xiaoqun Cao, Bainian Liu, Yanan Guo, Chaohao Xiao, Wenlong Tian
2017	J	`jnl`	Assimilation of Sentinel-1 Derived Sea Surface Winds for Typhoon Forecasting. Remote. Sens. Yi Yu, Xiaofeng Yang, Weimin Zhang, Boheng Duan, Xiaoqun Cao, Hongze Leng
2013	J	`jnl`	A General Iteration Formula of VIM for Fractional Heat- and Wave-Like Equations. J. Appl. Math. Fukang Yin, Junqiang Song, Xiaoqun Cao
2013	J	`jnl`	Couple of the Variational Iteration Method and Legendre Wavelets for Nonlinear Partial Differential Equations. J. Appl. Math. Fukang Yin, Junqiang Song, Xiaoqun Cao, Fengshun Lu
2013	J	`jnl`	Fractional Variational Iteration Method versus Adomian's Decomposition Method in Some Fractional Partial Differential Equations. J. Appl. Math. Junqiang Song, Fukang Yin, Xiaoqun Cao, Fengshun Lu
2013	J	`jnl`	Notes and correspondence on ensemble-based three-dimensional variational filters. J. Zhejiang Univ. Sci. C Hongze Leng, Junqiang Song, Fukang Yin, Xiaoqun Cao
2012	J	`jnl`	CPU/GPU computing for long-wave radiation physics on large GPU clusters. Comput. Geosci. Fengshun Lu, Junqiang Song, Xiaoqun Cao, Xiaoqian Zhu
2012	—	`conf`	The Parallel Algorithm of the Non-differentiable Maximum Likelihood Ensemble Filter on Cloud Environments. CGC Wangyi Han, Junqiang Song, Xiaoqun Cao
2009	C	`conf`	Managing Large-Scale Scientific Computing in Ensemble Prediction Using BPEL. ISPA Cancan Liu, Weimin Zhang, Zhigang Luo, Xiaoqun Cao, Hai Liu