ASTNet: Asynchronous Spatio-Temporal Network for Large-Scale Chemical Sensor Forecasting
Shihao Tu, Yang Yang, Wenyue Ding, Yicheng Lu, Qingkai Ren, Yupeng Zhang, Yin Zhang
ASTNet proposes a novel approach for real-time spatiotemporal forecasting in chemical sensor networks, addressing computational latency and complex spatial dependencies. It features asynchronous modeling to reduce latency and dynamic graph fusion to enhance robustness.

PowerPM: Foundation Model for Power Systems
Shihao Tu*, Yupeng Zhang*, Jing Zhang, Zhendong Fu, Yin Zhang, Yang Yang (*: equal contribution)
PowerPM is an advanced model for electricity time series (ETS) analysis, designed to address the complexities of hierarchical and temporal data for power systems applications, focusing on electricity usage forecasting, grid stability and consumer behaviour analysis.

DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection
Shihao Tu, Linfeng Cao, Daoze Zhang, Junru Chen, Lvbin Ma, Yin Zhang, Yang Yang
Difference Matrix-based Neural Network (DMNet) addresses the domain shift in iEEG signals across different subjects by leveraging a self-comparison mechanism for subject-independent automatic seizure detection.