activity
20192022
most citedReducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning

22 citations · 80 across the 9 of their papers we have counts for

collaborators

13 papers

cs.LG2022

Discovering Dynamic Patterns from Spatiotemporal Data with Time-Varying Low-Rank Autoregression

Xinyu Chen, Chengyuan Zhang, Xiaoxu Chen +2

The problem of broad practical interest in spatiotemporal data analysis, i.e., discovering interpretable dynamic patterns from spatiotemporal data, is studied in this paper. Toward…

cs.LG20218 cited

Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection

Xudong Wang, Luis Miranda-Moreno, Lijun Sun

Spatiotemporal traffic data (e.g., link speed/flow) collected from sensor networks can be organized as multivariate time series with additional spatial attributes. A crucial task i…

cs.LG202115 cited

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…

cs.LG20212 cited

Spatially Focused Attack against Spatiotemporal Graph Neural Networks

Fuqiang Liu, Luis Miranda-Moreno, Lijun Sun

Spatiotemporal forecasting plays an essential role in various applications in intelligent transportation systems (ITS), such as route planning, navigation, and traffic control and…

cs.LG20212 cited

Individual Mobility Prediction via Attentive Marked Temporal Point Processes

Yuankai Wu, Zhanhong Cheng, Lijun Sun

Individual mobility prediction is an essential task for transportation demand management and traffic system operation. There exist a large body of works on modeling location sequen…

cs.LG202122 cited

Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning

Jiawei Wang, Lijun Sun

The bus system is a critical component of sustainable urban transportation. However, due to the significant uncertainties in passenger demand and traffic conditions, bus operation…