253 citations · 338 across the 16 of their papers we have counts for
10 papers · 1 filter
PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting
Yangyou Liu, Zezhi Shao, Xinyu Chen +3
Time series forecasting under non-stationarity faces a fundamental tension between capturing stable representations and adapting to distribution shifts. Existing methods implicitly…
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach
Chunwei Yang, Xiaoxu Chen, Lijun Sun +2
Time series analysis is a fundamental task in various application domains, and deep learning approaches have demonstrated remarkable performance in this area. However, many real-wo…
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition
Qin Li, Xuan Yang, Yong Wang +2
Accurate spatial-temporal traffic flow forecasting is essential for helping traffic managers to take control measures and drivers to choose the optimal travel routes. Recently, gra…
Explainable and Safe Reinforcement Learning for Autonomous Air Mobility
Lei Wang, Hongyu Yang, Yi Lin +2
Increasing traffic demands, higher levels of automation, and communication enhancements provide novel design opportunities for future air traffic controllers (ATCs). This article p…
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction
Yuankai Wu, Hongyu Yang, Yi Lin +1
Demystifying the delay propagation mechanisms among multiple airports is fundamental to precise and interpretable delay prediction, which is crucial during decision-making for all…
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…
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…
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation
Xudong Wang, Yuankai Wu, Dingyi Zhuang +1
This paper studies the traffic state estimation (TSE) problem using sparse observations from mobile sensors. Most existing TSE methods either rely on well-defined physical traffic…
Inductive Graph Neural Networks for Spatiotemporal Kriging
Yuankai Wu, Dingyi Zhuang, Aurelie Labbe +1
Time series forecasting and spatiotemporal kriging are the two most important tasks in spatiotemporal data analysis. Recent research on graph neural networks has made substantial p…
Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning
Yuankai Wu, Huachun Tan, Bin Ran
Variable speed limits (VSL) control is a flexible way to improve traffic condition,increase safety and reduce emission. There is an emerging trend of using reinforcement learning t…