no code implementations • 19 Feb 2024 • Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, Kang Liu
Large language models internalize enormous parametric knowledge during pre-training.
no code implementations • 9 Mar 2023 • Ruochen Jiao, Juyang Bai, Xiangguo Liu, Takami Sato, Xiaowei Yuan, Qi Alfred Chen, Qi Zhu
We conduct extensive experiments to demonstrate that our supervised method based on contrastive learning and unsupervised method based on reconstruction with semantic latent space can significantly improve the performance of anomalous trajectory detection in their corresponding settings over various baseline methods.
no code implementations • 27 Oct 2021 • Xiaowei Yuan, Jingyuan Hu, Xiaodan Zhang, Honglei Lv, Hao liu
In this paper, we propose an emoji-based co-attention network that learns the mutual emotional semantics between text and emojis on microblogs.
no code implementations • 27 Oct 2021 • Xiaowei Yuan, Jingyuan Hu, Xiaodan Zhang, Honglei Lv
Based on EmoGraph2vec model, we design a novel neural network to incorporate text and emoji information into sentiment analysis, which uses a hybrid-attention module combined with TextCNN-based classifier to improve performance.
no code implementations • ICCV 2019 • Xiaowei Yuan, In Kyu Park
In recent decades, 3D morphable model (3DMM) has been commonly used in image-based photorealistic 3D face reconstruction.