Search Results for author: Jieyu Li

Found 8 papers, 5 papers with code

CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset

1 code implementation25 May 2023 Hanchong Zhang, Jieyu Li, Lu Chen, Ruisheng Cao, Yunyan Zhang, Yu Huang, Yefeng Zheng, Kai Yu

Furthermore, we present CSS, a large-scale CrosS-Schema Chinese text-to-SQL dataset, to carry on corresponding studies.

Benchmarking Text-To-SQL

On the Structural Generalization in Text-to-SQL

no code implementations12 Jan 2023 Jieyu Li, Lu Chen, Ruisheng Cao, Su Zhu, Hongshen Xu, Zhi Chen, Hanchong Zhang, Kai Yu

Exploring the generalization of a text-to-SQL parser is essential for a system to automatically adapt the real-world databases.


2D LiDAR and Camera Fusion Using Motion Cues for Indoor Layout Estimation

1 code implementation24 Apr 2022 Jieyu Li, Robert Stevenson

A ground robot explores an indoor space with a single floor and vertical walls, and collects a sequence of intensity images and 2D LiDAR datasets.

Image Segmentation Semantic Segmentation

Unsupervised Local Discrimination for Medical Images

1 code implementation21 Aug 2021 Huai Chen, Renzhen Wang, Xiuying Wang, Jieyu Li, Qu Fang, Hui Li, Jianhao Bai, Qing Peng, Deyu Meng, Lisheng Wang

To address this challenge, in this paper, we propose a general unsupervised representation learning framework, named local discrimination (LD), to learn local discriminative features for medical images by closely embedding semantically similar pixels and identifying regions of similar structures across different images.

Contrastive Learning Lesion Segmentation +1

Unsupervised Learning of Local Discriminative Representation for Medical Images

1 code implementation17 Dec 2020 Huai Chen, Jieyu Li, Renzhen Wang, YiJie Huang, Fanrui Meng, Deyu Meng, Qing Peng, Lisheng Wang

However, the commonly applied supervised representation learning methods require a large amount of annotated data, and unsupervised discriminative representation learning distinguishes different images by learning a global feature, both of which are not suitable for localized medical image analysis tasks.

Clustering Representation Learning

Indoor Layout Estimation by 2D LiDAR and Camera Fusion

no code implementations15 Jan 2020 Jieyu Li, Robert L. Stevenson

This paper presents an algorithm for indoor layout estimation and reconstruction through the fusion of a sequence of captured images and LiDAR data sets.

Depth Estimation Pose Estimation +2

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