3 citations · 7 across the 12 of their papers we have counts for
5 papers · 1 filter
A2TTA: Anchored-and-Agile Test-Time Adaptation for Evolving Traffic Sensor Networks
Du Yin, Xiachong Lin, Yue Tan +4
Traffic forecasting is important for efficient traffic management and route planning in smart cities. Existing traffic forecasting studies typically assume fixed sensor graphs, ove…
AsyTO: Asymmetric Temporal Operator for Parameter-Efficient Multivariate Time Series Forecasting
Xiachong Lin, Du Yin, Hao Xue +5
Multivariate time-series forecasting faces a structural dilemma: sharing one temporal predictor across variables is parameter-efficient but forces heterogeneous variables through a…
TrajDLM: Topology-Aware Block Diffusion Language Model for Trajectory Generation
Wilson Wongso, Lihuan Li, Arian Prabowo +4
Generating high-fidelity synthetic GPS trajectories is increasingly important for applications in transportation, urban planning, and what-if scenario simulation, especially as pri…
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics
Arian Prabowo, Xiachong Lin, Imran Razzak +4
Buildings play a crucial role in human well-being, influencing occupant comfort, health, and safety. Additionally, they contribute significantly to global energy consumption, accou…
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings
Xiachong Lin, Arian Prabowo, Imran Razzak +4
The increasing demand for sustainable energy solutions has driven the integration of digitalized buildings into the power grid, leveraging Internet-of-Things (IoT) technologies to…