6 papers
SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting
Yongfeng Su, Hongwen Li, Zijian Zhang +5
Traffic prediction is a core task in intelligent transportation systems and urban-scale decision making. Despite the effectiveness of mainstream neural network-based methods, their…
DeXOR: Enabling XOR in Decimal Space for Streaming Lossless Compression of Floating-point Data
Chuanyi Lv, Huan Li, Dingyu Yang +3
With streaming floating-point numbers being increasingly prevalent, effective and efficient compression of such data is critical. Compression schemes must be able to exploit the si…
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…
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…