TAnet: A New Temporal Attention Network for EEG-based Auditory Spatial Attention Decoding with a Short Decision Window

no code implementations • 11 Jan 2024 • Yuting Ding, Fei Chen

Auditory spatial attention detection (ASAD) is used to determine the direction of a listener's attention to a speaker by analyzing her/his electroencephalographic (EEG) signals.

EEG

A Latent Feature Analysis-based Approach for Spatio-Temporal Traffic Data Recovery

no code implementations • 16 Aug 2022 • Yuting Ding, Di wu

In the past decade, scholars have done many research on the recovery of missing traffic data, however how to make full use of spatio-temporal traffic patterns to improve the recovery performance is still an open problem.

Matrix Completion

PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions

no code implementations • Findings of the Association for Computational Linguistics 2020 • Jiazhao Li, Corey Lester, Xinyan Zhao, Yuting Ding, Yun Jiang, V. G. Vinod Vydiswaran

We propose a novel machine translation-based approach, PharmMT, to automatically and reliably simplify prescription directions into patient-friendly language, thereby significantly reducing pharmacist workload.

Machine Translation Translation

Fine-grained Pattern Matching Over Streaming Time Series

no code implementations • 27 Oct 2017 • Rong Kang, Chen Wang, Peng Wang, Yuting Ding, Jian-Min Wang

Hence, we formulate a new problem, called "fine-grained pattern matching", which allows users to specify varied granularities of matching deviation to different segments of a given pattern, and fuzzy regions for adaptive breakpoints determination between consecutive segments.

Time Series Time Series Analysis