Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering The paper was accepted by SIGKDD 2024. In this paper, we show the equivalence of graph convolutions and contrastive ...

Although current time-series forecasting methods have significantly improved the state-of-the-art (SOTA) results for long-sequence time-series forecasting (LSTF), they still have difficulty in ...

To determine how listeners learn the statistical properties of acoustic spaces, we assessed their ability to perceive speech in a range of noisy and reverberant rooms. Listeners were also exposed to ...