Gehua Ma — accepted AI-conference papers

2024

Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation

Gehua Ma, He Wang, Jingyuan Zhao, Rui Yan, Huajin Tang

AAAI 2024technical

Existing approaches usually perform spatiotemporal representation in the spatial and temporal dimensions, respectively, which isolates the spatial and temporal natures of the target and leads to sub-optimal embeddings. Neuroscience research has shown that the mammalian brain entorhinal-hippocampal s…

Cited by 2 Source ↗PDF ↗Scholar ↗

2023

Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes

Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang

NeurIPS 2023poster

Developing computational models of neural response is crucial for understanding sensory processing and neural computations. Current state-of-the-art neural network methods use temporal filters to handle temporal dependencies, resulting in an **unrealistic and inflexible processing paradigm**. Meanwh…

Cited by 6 Source ↗PDF ↗Scholar ↗