Showing results 52 to 71 of 78
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| Issue Date | Title | Author(s) |
| 2015 | Multi-label text categorization with joint learning predictions-as-features method | Li, Li; Chang, Baobao; Zhao, Shi; Sha, Lei; Sun, Xu; Wang, Houfeng |
| 2021 | Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation | Feng, Shaoxiong; Ren, Xuancheng; Li, Kan; Sun, Xu |
| 2023 | MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning | Yang, Bang; Liu, Fenglin; Wu, Xian; Wang, Yaowei; Sun, Xu; Zou, Yuexian |
| 2020 | Parallel Data Augmentation for Formality Style Transfer | Zhang, Yi; Ge, Tao; Sun, Xu |
| 2008 | Predicting Chinese abbreviations from definitions: An empirical learning approach using support vector regression | Sun, Xu; Wang, Hou-Feng; Wang, Bo |
| 2014 | Predicting Chinese abbreviations with minimum semantic unit and global constraints | Zhang, Longkai; Li, Li; Wang, Houfeng; Sun, Xu |
| 9-May-2024 | Prediction model for low bone mass mineral density in type 2 diabetes: an observational cross-sectional study | Ji, Cheng; Ma, Jie; Sun, Lingjun; Sun, Xu; Liu, Lijuan; Wang, Lijun; Ge, Weihong; Bi, Yan |
| 2013 | Probabilistic Chinese word segmentation with non-local information and stochastic training | Sun, Xu; Zhang, Yaozhong; Matsuzaki, Takuya; Tsuruoka, Yoshimasa; Tsujii, Jun'ichi |
| 2018 | Question Condensing Networks for Answer Selection in Community Question Answering | Wu, Wei; Sun, Xu; Wang, Houfeng |
| 2021 | RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models | Yang, Wenkai; Lin, Yankai; Li, Peng; Zhou, Jie; Sun, Xu |
| 2021 | Rethinking Denoised Auto-Encoding in Language Pre-Training | Luo, Fuli; Yang, Pengcheng; Li, Shicheng; Ren, Xuancheng; Sun, Xu; Huang, Songfang; Huang, Fei |
| 2023 | Stock Trading Volume Prediction with Dual-Process Meta-Learning | Chen, Ruibo; Li, Wei; Zhang, Zhiyuan; Bao, Ruihan; Harimoto, Keiko; Sun, Xu |
| 2014 | Structure regularization for structured prediction | Sun, Xu |
| 2024 | A Survey on In-context Learning | Dong, Qingxiu; Li, Lei; Dai, Damai; Zheng, Ce; Ma, Jingyuan; Li, Rui; Xia, Heming; Xu, Jingjing; Wu, Zhiyong; Chang, Baobao; Sun, Xu; Lis, Lei; Sui, Zhifang |
| 2021 | Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification | Ren, Shuhuai; Zhang, Jinchao; Li, Lei; Sun, Xu; Zhou, Jie |
| 2019 | Towards easier and faster sequence labeling for natural language processing: A search-based probabilistic online learning framework (SAPO) | Sun, Xu; Ma, Shuming; Zhang, Yi; Ren, Xuancheng |
| 2019 | Towards Fine-grained Text Sentiment Transfer | Luo, Fuli; Li, Peng; Yang, Pengcheng; Zhou, Jie; Tan, Yutong; Chang, Baobao; Sui, Zhifang; Sun, Xu |
| 2021 | Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings? | Ren, Xuancheng; Sun, Xu; Wang, Houfeng; Liu, Qun |
| 1-Feb-2020 | Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method | Sun, Xu; Ren, Xuancheng; Ma, Shuming; Wei, Bingzhen; Li, Wei; Xu, Jingjing; Wang, Houfeng; Zhang, Yi |
| 2018 | Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method | Sun, Xu; Ren, Xuancheng; Ma, Shuming; Wei, Bingzhen; Li, Wei; Xu, Jingjing; Wang, Houfeng; Zhang, Yi |
