Search Results for author: Guang Liu

Found 13 papers, 3 papers with code

AltDiffusion: A Multilingual Text-to-Image Diffusion Model

1 code implementation19 Aug 2023 Fulong Ye, Guang Liu, Xinya Wu, Ledell Wu

Specifically, we first train a multilingual text encoder based on the knowledge distillation.

Blocking Concept Alignment +1

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data

no code implementations18 Jul 2023 Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu

Recent advancements in Natural Language Processing (NLP) have witnessed the groundbreaking impact of pretrained models, yielding impressive outcomes across various tasks.

PTab: Using the Pre-trained Language Model for Modeling Tabular Data

no code implementations15 Sep 2022 Guang Liu, Jie Yang, Ledell Wu

The learning of an effective contextual representation requires meaningful features and a large amount of data.

Language Modelling Representation Learning +1

Self-Supervised Prime-Dual Networks for Few-Shot Image Classification

no code implementations29 Sep 2021 Wenming Cao, Qifan Liu, Guang Liu, Zhihai He

We construct a prime-dual network structure for few-shot learning which establishes a commutative relationship between the support set and the query set, as well as a new self- supervision constraint for highly effective few-shot learning.

Few-Shot Image Classification Few-Shot Learning

A Diversity-Enhanced and Constraints-Relaxed Augmentation for Low-Resource Classification

no code implementations24 Sep 2021 Guang Liu, Hailong Huang, Yuzhao Mao, Weiguo Gao, Xuan Li, Jianping Shen

Previous studies mostly use a fine-tuned Language Model (LM) to strengthen the constraints but ignore the fact that the potential of diversity could improve the effectiveness of generated data.

Data Augmentation Language Modelling

Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup

1 code implementation EMNLP 2021 Guang Liu, Yuzhao Mao, Hailong Huang, Weiguo Gao, Xuan Li

To address these issues, we propose the Adversarial Mixing Policy (AMP), organized in a min-max-rand formulation, to relax the Locally Linear Constraints in Mixup.

text-classification Text Classification

Research on multi-dimensional end-to-end phrase recognition algorithm based on background knowledge

no code implementations8 Jul 2020 Zheng Li, Gang Tu, Guang Liu, Zhi-Qiang Zhan, Yi-Jian Liu

The algorithm can not only introduce background knowledge, recognize all kinds of nested phrases in sentences, but also recognize the dependency between phrases.

Research on Annotation Rules and Recognition Algorithm Based on Phrase Window

no code implementations7 Jul 2020 Guang Liu, Gang Tu, Zheng Li, Yi-Jian Liu

At present, most Natural Language Processing technology is based on the results of Word Segmentation for Dependency Parsing, which mainly uses an end-to-end method based on supervised learning.

Dependency Parsing Sentiment Analysis

Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion

no code implementations3 Mar 2020 Jingyuan Yang, Guang Liu, Yuzhao Mao, Zhiwei Zhao, Weiguo Gao, Xuan Li, Haiqin Yang, Jianping Shen

Task 1 of the DSTC8-track1 challenge aims to develop an end-to-end multi-domain dialogue system to accomplish complex users' goals under tourist information desk settings.

Cannot find the paper you are looking for? You can Submit a new open access paper.