Ting Deng — accepted AI-conference papers

2025

DVN-SLAM: Dynamic Visual Neural Slam Based on Local-Global Encoding

Wenhua Wu, Guangming Wang, Ting Deng, Sebastian Ægidius, Stuart Shanks, Valerio Modugno +2

ICRA 2025

Recent research on Simultaneous Localization and Mapping (SLAM) based on implicit representation has shown promising results in indoor environments. However, some challenges remain: the limited scene representation capability of implicit encoding, the uncertainty in the rendering process from implic

Cited by 12 Source ↗Scholar ↗

2023

DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining

Weifeng Jiang, Qianren Mao, Chenghua Lin, Jianxin Li, Ting Deng, Weiyi Yang +1

EMNLP 2023long main

Many text mining models are constructed by fine-tuning a large deep pre-trained language model (PLM) in downstream tasks. However, a significant challenge that arises nowadays is how to maintain performance when we use a lightweight model with limited labeled samples. We present DisCo, a semi-super…

Cited by 0 Source ↗code ↗Scholar ↗