5 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…