171 citations · 191 across the 6 of their papers we have counts for
6 papers
Generalized Least Squares Kernelized Tensor Factorization
Mengying Lei, Lijun Sun
Recovering incomplete multidimensional tensor-structured data is a fundamental task in many real-world applications. Smoothness-constrained low-rank tensor factorization effectivel…
Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization
Mengying Lei, Lijun Sun
Bayesian optimization (BO) primarily uses Gaussian processes (GP) as the key surrogate model, mostly with a simple stationary and separable kernel function such as the squared-expo…
Bayesian Complementary Kernelized Learning for Multidimensional Spatiotemporal Data
Mengying Lei, Aurelie Labbe, Lijun Sun
Probabilistic modeling of multidimensional spatiotemporal data is critical to many real-world applications. As real-world spatiotemporal data often exhibits complex dependencies th…
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging
Yuankai Wu, Dingyi Zhuang, Mengying Lei +2
Spatiotemporal kriging is an important application in spatiotemporal data analysis, aiming to recover/interpolate signals for unsampled/unobserved locations based on observed signa…
Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression
Mengying Lei, Aurelie Labbe, Lijun Sun
As a regression technique in spatial statistics, the spatiotemporally varying coefficient model (STVC) is an important tool for discovering nonstationary and interpretable response…
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
Xinyu Chen, Mengying Lei, Nicolas Saunier +1
Spatiotemporal traffic time series (e.g., traffic volume/speed) collected from sensing systems are often incomplete with considerable corruption and large amounts of missing values…