Mengying Lei

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All published works

Action	Title	Year	Authors
+ PDF Chat	Generalized Least Squares Kernelized Tensor Factorization	2024	Mengying Lei Lijun Sun
+ PDF Chat	Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression	2024	Mengying Lei Aurélie Labbe Lijun Sun
+	BKTR: Bayesian Kernelized Tensor Regression	2023	Julien Lanthier Mengying Lei Aurélie Labbe Lijun Sun
+	Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization	2023	Mengying Lei Lijun Sun
+	Bayesian Complementary Kernelized Learning for Multidimensional Spatiotemporal Data	2022	Mengying Lei Aurélie Labbé Lijun Sun
+ PDF Chat	Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation	2021	Xinyu Chen Mengying Lei Nicolas Saunier Lijun Sun
+	Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation	2021	Xinyu Chen Mengying Lei Nicolas Saunier Lijun Sun
+	Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging	2021	Yuankai Wu Dingyi Zhuang Mengying Lei Aurélie Labbe Lijun Sun
+	Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression	2021	Mengying Lei Aurélie Labbe Lijun Sun

Common Coauthors

Coauthor	Papers Together
Lijun Sun	6
Aurélie Labbé	3
Aurélie Labbe	2
Nicolas Saunier	2
Xinyu Chen	2
Lijun Sun	2
Yuankai Wu	1
Dingyi Zhuang	1
Lijun Sun	1
Julien Lanthier	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning	2014	Mohammad Taha Bahadori Qi Yu Yan Liu	5
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	4
+	Fixed Rank Kriging for Very Large Spatial Data Sets	2008	Noel Cressie Gardar Johannesson	2
+ PDF Chat	Smooth PARAFAC Decomposition for Tensor Completion	2016	Tatsuya Yokota Qibin Zhao Andrzej Cichocki	2
+ PDF Chat	Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets	2015	Abhirup Datta Sudipto Banerjee Andrew O. Finley Alan E. Gelfand	2
+ PDF Chat	Gaussian Predictive Process Models for Large Spatial Data Sets	2008	Sudipto Banerjee Alan E. Gelfand Andrew O. Finley Huiyan Sang	2
+	Reduced-rank regression for the multivariate linear model	1975	Alan Julian Izenman	2
+ PDF Chat	Reduced rank regression via adaptive nuclear norm penalization	2013	Kun Chen Haobin Dong Kalok Chan	2
+	Towards a Multidimensional Approach to Bayesian Disease Mapping	2016	Miguel A. Martínez‐Beneito Paloma Botella-Rocamora Sudipto Banerjee	2
+ PDF Chat	Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization	2010	Liang Xiong Xi Chen Tzu-Kuo Huang Jeff Schneider Jaime G. Carbonell	2
+	Slice sampling covariance hyperparameters of latent Gaussian models	2010	Iain Murray Ryan P. Adams	2
+	On Block Updating in Markov Random Field Models for Disease Mapping	2002	Leonhard Knorr‐Held Håvard Rue	2
+	Short-Term Traffic Prediction Based on Dynamic Tensor Completion	2016	Huachun Tan Yuankai Wu Bin Shen Peter J. Jin Bin Ran	2
+ PDF Chat	Low-Rank Regression with Tensor Responses	2016	Guillaume Rabusseau Hachem Kadri	2
+ PDF Chat	Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks	2018	Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu	2
+ PDF Chat	Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes	2018	Andrew O. Finley Abhirup Datta Bruce D. Cook Douglas C. Morton Hans E. Andersen Sudipto Banerjee	2
+	A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation	2018	Xinyu Chen Zhaocheng He Lijun Sun	2
+ PDF Chat	Generalized Singular Value Thresholding	2015	Canyi Lu Changbo Zhu Chunyan Xu Shuicheng Yan Zhouchen Lin	2
+	Bayesian Tensor Regression	2017	Rajarshi Guhaniyogi Shaan Qamar David B. Dunson	2
+	Penalty Decomposition Methods for Rank Minimization	2010	Yong Zhang Zhaosong Lu	2
+	Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting	2019	Rajat Sen Hsiang‐Fu Yu Inderjit S. Dhillon	2
+ PDF Chat	Bayesian Temporal Factorization for Multidimensional Time Series Prediction	2021	Xinyu Chen Lijun Sun	2
+ PDF Chat	Bayesian spatially varying coefficient models in the spBayes R package	2020	Andrew O. Finley Sudipto Banerjee	2
+ PDF Chat	A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation	2020	Xinyu Chen Jinming Yang Lijun Sun	2
+ PDF Chat	Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data	2021	Lu Zhang Sudipto Banerjee	2
+ PDF Chat	Basis-Function Models in Spatial Statistics	2021	Noel Cressie Matthew Sainsbury-Dale Andrew Zammit‐Mangion	2
+	Autoregressive Tensor Factorization for Spatio-Temporal Predictions	2017	Koh Takeuchi Hisashi Kashima Naonori Ueda	1
+ PDF Chat	Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation	2021	Ahmed Ben Said Abdelkarim Erradi	1
+ PDF Chat	Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation	2018	Filipe Rodrigues Kristian Henrickson Francisco C. Pereira	1
+	Processing of missing data by neural networks	2018	Marek Śmieja Łukasz Struski Jacek Tabor Bartosz Zieliński Przemysław Spurek	1
+ PDF Chat	Scalable low-rank tensor learning for spatiotemporal traffic data imputation	2021	Xinyu Chen Yixian Chen Nicolas Saunier Lijun Sun	1
+ PDF Chat	Missing data imputation with adversarially-trained graph convolutional networks	2020	Indro Spinelli Simone Scardapane Aurelio Uncini	1
+	Learning from Multiway Data: Simple and Efficient Tensor Regression	2016	Rose Yu Yan Liu	1
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	1
+	Tensor Regression Meets Gaussian Processes	2017	Rose Yu Guangyu Li Yan Liu	1
+	Processing of missing data by neural networks	2018	Marek Śmieja Łukasz Struski Jacek Tabor Bartosz Zieliński Przemysław Spurek	1
+ PDF Chat	Inductive Graph Neural Networks for Spatiotemporal Kriging	2021	Yuankai Wu Dingyi Zhuang Aurélie Labbé Lijun Sun	1
+	Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting	2017	Yaguang Li Rose Yu Cyrus Shahabi Yan Liu	1
+	Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization	2023	Mengying Lei Lijun Sun	1
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	1
+ PDF Chat	Structured low-rank matrix completion for forecasting in time series analysis	2018	Jonathan Gillard Konstantin Usevich	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+ PDF Chat	Slice sampling	2003	Radford M. Neal	1
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	1
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	1
+	Graph WaveNet for Deep Spatial-Temporal Graph Modeling	2019	Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang	1
+ PDF Chat	Kernels for Vector-Valued Functions: A Review	2012	Mauricio A. Álvarez Lorenzo Rosasco Neil D. Lawrence	1
+ PDF Chat	Kernels for Vector-Valued Functions: A Review	2012	Mauricio A. Álvarez Lorenzo Rosasco Neil D. Lawrence	1
+	Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction	2019	Ziyue Li Nurettin Dorukhan Sergin Hao Yan Chen Zhang Fugee Tsung	1
+ PDF Chat	Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction	2020	Ziyue Li Nurettin Dorukhan Sergin Hao Yan Chen Zhang Fugee Tsung	1