
Hankelstructured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection
Spatiotemporal traffic data (e.g., link speed/flow) collected from senso...
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Spatial Aggregation and Temporal Convolution Networks for Realtime Kriging
Spatiotemporal kriging is an important application in spatiotemporal dat...
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Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns
Missing data is an inevitable and ubiquitous problem for traffic data co...
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Spatially Focused Attack against Spatiotemporal Graph Neural Networks
Spatiotemporal forecasting plays an essential role in various applicatio...
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Individual Mobility Prediction via Attentive Marked Temporal Point Processes
Individual mobility prediction is an essential task for transportation d...
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Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression
As a regression technique in spatial statistics, spatiotemporally varyin...
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Quantifying outofstation waiting time in oversaturated urban metro systems
Metro systems in megacities such as Beijing, Shenzhen and Guangzhou are ...
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LowRank Hankel Tensor Completion for Traffic Speed Estimation
This paper studies the traffic state estimation (TSE) problem using spar...
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Reducing Bus Bunching with Asynchronous MultiAgent Reinforcement Learning
The bus system is a critical component of sustainable urban transportati...
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LowRank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
Spatiotemporal traffic time series (e.g., traffic volume/speed) collecte...
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Realtime forecasting of metro origindestination matrices with highorder weighted dynamic mode decomposition
Forecasting the shortterm ridership among origindestination pairs (OD ...
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Industrial Topics in Urban Labor System
Categorization is an essential component for us to understand the world ...
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On Social Interactions of Merging Behaviors at Highway OnRamps in Congested Traffic
Merging at highway onramps while interacting with other humandriven ve...
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Scalable LowRank Autoregressive Tensor Learning for Spatiotemporal Traffic Data Imputation
Missing value problem in spatiotemporal traffic data has long been a cha...
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Towards Efficient Connected and Automated Driving System via Multiagent Graph Reinforcement Learning
Connected and automated vehicles (CAVs) have attracted more and more att...
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LowRank Autoregressive Tensor Completion for Multivariate Time Series Forecasting
Time series prediction has been a longstanding research topic and an es...
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Inductive Graph Neural Networks for Spatiotemporal Kriging
Time series forecasting and spatiotemporal kriging are the two most impo...
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Routine pattern discovery and anomaly detection in individual travel behavior
Discovering patterns and detecting anomalies in individual travel behavi...
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Incorporating travel behavior regularity into passenger flow forecasting
Accurate forecasting of passenger flow (i.e., ridership) is critical to ...
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A Nonconvex LowRank Tensor Completion Model for Spatiotemporal Traffic Data Imputation
Sparsity and missing data problems are very common in spatiotemporal tra...
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Bayesian Temporal Factorization for Multidimensional Time Series Prediction
Largescale and multidimensional spatiotemporal data sets are becoming u...
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Cooperative coevolution of real predator robots and virtual robots in the pursuit domain
The pursuit domain, or predatorprey problem is a standard testbed for t...
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Lijun Sun
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