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Le Zhou

2 accepted papers

2025

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation

ICML 2025poster

Trajectory data is crucial for various applications but often suffers from incompleteness due to device limitations and diverse collection scenarios. Existing imputation methods rely on sparse trajectory or travel information, such as velocity, to infer missing points. However, these approaches assu…

2024

Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-To-Coarse Attention

ICASSP 2024accepted

The quadratic complexity of self-attention in Transformers has hindered the processing of long text. To alleviate this problem, previous works have proposed to sparsify the attention matrix, taking advantage of the observation that crucial information about a token can be derived from its neighbors.…

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