Xie, Feng
- Latent Hierarchical Causal Structure Discovery with Rank Constraints
2022/10/01 by Biwei Huang, Huang, Biwei, Charles Jia Han Low +7 · 7 citations
Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Data Quality and Management #Data Mining Algorithms and Applications
- Identification of Nonlinear Latent Hierarchical Models
2023/06/13 by Kong, Lingjing, Huang, Biwei, Xie, Feng +3 · 5 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
2022/08/23 by Feng Xie, Xie, Feng, Zhong Zhang +7 · 3 citations
Medicine · Mathematics · Social Sciences · #Data-Driven Disease Surveillance #COVID-19 epidemiological studies #Human Mobility and Location-Based Analysis
- MHD boundary layers theory in Sobolev spaces without monotonicity. I. well-posedness theory
2016/11/17 by Cheng‐Jie Liu, Feng Xie, Liu, Cheng-Jie +3 · 1 citation
Engineering · Mathematics · #Advanced Mathematical Physics Problems #Analysis of PDEs (math.AP) #Computational Fluid Dynamics and Aerodynamics #FOS: Mathematics #Navier-Stokes equation solutions
- Justification of Prandtl Ansatz for MHD boundary layer
2017/04/03 by Liu, Cheng-Jie, Xie, Feng, Yang, Tong · 1 citation
#Analysis of PDEs (math.AP) #FOS: Mathematics
- Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
2023/08/13 by Feng Xie, Xie, Feng, Biwei Huang +11 · 2 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Methodology (stat.ME)
- Policy Learning for Balancing Short-Term and Long-Term Rewards
2024/05/06 by Peng Wu, Ziyu Shen, Wu, Peng +8 · 3 citations
Economics, Econometrics and Finance · Social Sciences · #Economic Policies and Impacts #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Regional Development and Policy #Retirement, Disability, and Employment
- Causal Discovery with Multi-Domain LiNGAM for Latent Factors
2020/09/19 by Yan Zeng, Shohei Shimizu, Zeng, Yan +9 · 1 citation
Computer Science · #Advanced Text Analysis Techniques #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Rough Sets and Fuzzy Logic
- Global Solvability of 2D MHD Boundary Layer Equations in Analytic Function Spaces
2021/03/16 by Shengxin Li, Feng Xie, Li, Shengxin +1 · 1 citation
Engineering · Mathematics · #35G31 #35M31 #76D10 #Advanced Mathematical Physics Problems #Analysis of PDEs (math.AP) #FOS: Mathematics #Navier-Stokes equation solutions #Stability and Controllability of Differential Equations
- Local Causal Structure Learning in the Presence of Latent Variables
2024/05/25 by Xie, Feng, Li, Zheng, Wu, Peng +3 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Local well-posedness of Prandtl equations for compressible flow in two space variables
2014/07/10 by Wang, Ya-Guang, Xie, Feng, Yang, Tong · 1 citation
#Analysis of PDEs (math.AP) #FOS: Mathematics
- Large time behavior of solutions to a diffusion approximation radiation hydrodynamics model
2022/05/03 by Wenjun Wang, Wang, Wenjun, Feng Xie +3 · 1 citation
Engineering · Mathematics · #Advanced Mathematical Physics Problems #Analysis of PDEs (math.AP) #Computational Fluid Dynamics and Aerodynamics #FOS: Mathematics #Navier-Stokes equation solutions
- Learning Discrete Latent Variable Structures with Tensor Rank Conditions
2024/06/11 by Zhengming Chen, Ruichu Cai, Chen, Zhengming +13 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling
- Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
2020/10/10 by Feng Xie, Ruichu Cai, Xie, Feng +9 · 1 citation
Computer Science · Decision Sciences · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multi-Criteria Decision Making #Statistical Methods and Inference