Vu Tran — accepted AI-conference papers

2022

DeepCIR: Insights into CIR-based Data-driven UWB Error Mitigation

Vu Tran, Zhuangzhuang Dai, Niki Trigoni, Andrew Markham

IROS 2022poster

Ultra-Wide-Band (UWB) ranging sensors have been widely adopted for robotic navigation thanks to their extremely high bandwidth and hence high resolution. However, off-the-shelf devices may output ranges with significant errors in cluttered, severe non-line-of-sight (NLOS) environments. Recently, neu…

Cited by 9 Source ↗Scholar ↗

2020

Answering Legal Questions by Learning Neural Attentive Text Representation

Phi Manh Kien, Ha-Thanh Nguyen, Ngo Xuan Bach, Vu Tran, Minh Le Nguyen, Tu Minh Phuong

COLING 2020main

Text representation plays a vital role in retrieval-based question answering, especially in the legal domain where documents are usually long and complicated. The better the question and the legal documents are represented, the more accurate they are matched. In this paper, we focus on the task of a…

Cited by 68 Source ↗PDF ↗Scholar ↗