5 citations · 6 across the 8 of their papers we have counts for
9 papers
DGCPath: Distribution-Aware Generative Contrastive Framework for Self-supervised Path Representation Learning -- Extended Version
Sean Bin Yang, Hao Miao, Zongyi Xu +5
Due to the proliferation of vehicle trajectory data enabled by advanced sensing technologies, path representation learning has become a pivotal task in intelligent transportation s…
REFINE: Trajectory Representation Learning via Closed-Loop Transcription -- Extended Version
Sean Bin Yang, Ying Sun, Jilin Hu +5
Trajectory representation learning underpins a wide range of trajectory analytics tasks; however, most existing self-supervised approaches, whether discriminative or generative, ad…
MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity (Extension)
Zhichen Lai, Hua Lu, Huan Li +2
Trajectory similarity computation is fundamental functionality that is used for, e.g., clustering, prediction, and anomaly detection. However, existing learning-based methods exhib…
Skeleton-Guided Learning for Shortest Path Search
Tiantian Liu, Xiao Li, Huan Li +3
Shortest path search is a core operation in graph-based applications, yet existing methods face important limitations. Classical algorithms such as Dijkstra's and A* become ineffic…
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
Yuxuan Yang, Dalin Zhang, Yuxuan Liang +3
Time Series Forecasting (TSF) is a crucial task in various domains, yet existing TSF models rely heavily on high-quality data and insufficiently exploit all available data. This pa…
Modeling and Monitoring of Indoor Populations using Sparse Positioning Data (Extension)
Xiao Li, Huan Li, Hua Lu +1
In large venues like shopping malls and airports, knowledge on the indoor populations fuels applications such as business analytics, venue management, and safety control. In this w…
Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation (Extended Version)
Xiao Li, Huan Li, Hua Lu +3
Sensor data streams occur widely in various real-time applications in the context of the Internet of Things (IoT). However, sensor data streams feature missing values due to factor…
Data Imputation for Sparse Radio Maps in Indoor Positioning (Extended Version)
Xiao Li, Huan Li, Harry Kai-Ho Chan +2
Indoor location-based services rely on the availability of sufficiently accurate positioning in indoor spaces. A popular approach to positioning relies on so-called radio maps that…
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Zhichen Lai, Dalin Zhang, Huan Li +3
Correlated time series (CTS) forecasting plays an essential role in many practical applications, such as traffic management and server load control. Many deep learning models have…