Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables

1 code implementation • 14 Apr 2025 • Qixu Chen, Yeye He, Raymond Chi-Wing Wong, Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri

Data cleaning is a long-standing challenge in data management.

ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs

no code implementations • 4 Feb 2025 • Yuan Tian, Chuhan Zhang, Xiaotong Wang, Sitong Pan, Weiwei Cui, Haidong Zhang, Dazhen Deng, Yingcai Wu

Creating data reports is time-consuming, as it requires iterative exploration and understanding of data, followed by summarizing the insights.

Text Generation

STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation

no code implementations • 18 Jul 2024 • Yaqi Wang, Yifan Zhang, Xiaodiao Chen, Shuai Wang, Dahong Qian, Fan Ye, Feng Xu, Hongyuan Zhang, Qianni Zhang, Chengyu Wu, Yunxiang Li, Weiwei Cui, Shan Luo, Chengkai Wang, TianHao Li, Yi Liu, Xiang Feng, Huiyu Zhou, Dongyun Liu, Qixuan Wang, Zhouhao Lin, Wei Song, Yuanlin Li, Bing Wang, Chunshi Wang, Qiupu Chen, Mingqian Li

The Semi-supervised Teeth Segmentation (STS) Challenge, a pioneering event in tooth segmentation, was held as a part of the MICCAI 2023 ToothFairy Workshop on the Alibaba Tianchi platform.

Prognosis STS +1

Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations

1 code implementation • 19 Apr 2024 • Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri

Spreadsheets are widely recognized as the most popular end-user programming tools, which blend the power of formula-based computation, with an intuitive table-based interface.

2k Contrastive Learning +1

Table-GPT: Table-tuned GPT for Diverse Table Tasks

no code implementations • 13 Oct 2023 • Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri

Language models, such as GPT-3. 5 and ChatGPT, demonstrate remarkable abilities to follow diverse human instructions and perform a wide range of tasks.

Probing Language Models

Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines

no code implementations • 4 Jun 2023 • Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Han Shi, Dongmei Zhang, Surajit Chaudhuri

Data pipelines are widely employed in modern enterprises to power a variety of Machine-Learning (ML) and Business-Intelligence (BI) applications.

CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation

1 code implementation • 2 Aug 2022 • Weiwei Cui, Yaqi Wang, Yilong Li, Dan Song, Xingyong Zuo, Jiaojiao Wang, Yifan Zhang, Huiyu Zhou, Bung san Chong, Liaoyuan Zeng, Qianni Zhang

This work provides a new benchmark for the tooth volume segmentation task, and the experiment can serve as the baseline for future AI-based dental imaging research and clinical application development.

Active Learning Segmentation

CTooth: A Fully Annotated 3D Dataset and Benchmark for Tooth Volume Segmentation on Cone Beam Computed Tomography Images

1 code implementation • 17 Jun 2022 • Weiwei Cui, Yaqi Wang, Qianni Zhang, Huiyu Zhou, Dan Song, Xingyong Zuo, Gangyong Jia, Liaoyuan Zeng

Several state-of-the-art segmentation methods are evaluated on this dataset.

Segmentation

VisImages: A Fine-Grained Expert-Annotated Visualization Dataset

no code implementations • 9 Jul 2020 • Dazhen Deng, Yihong Wu, Xinhuan Shu, Jiang Wu, Siwei Fu, Weiwei Cui, Yingcai Wu

Images in visualization publications contain rich information, e. g., novel visualization designs and implicit design patterns of visualizations.

Benchmarking

DeepDrawing: A Deep Learning Approach to Graph Drawing

no code implementations • 17 Jul 2019 • Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu

Node-link diagrams are widely used to facilitate network explorations.

Deep Learning

DeepTracker: Visualizing the Training Process of Convolutional Neural Networks

no code implementations • 26 Aug 2018 • Dongyu Liu, Weiwei Cui, Kai Jin, YuXiao Guo, Huamin Qu

To bridge this gap and help domain experts with their training tasks in a practical environment, we propose a visual analytics system, DeepTracker, to facilitate the exploration of the rich dynamics of CNN training processes and to identify the unusual patterns that are hidden behind the huge amount of training log.

Online Visual Analytics of Text Streams

1 code implementation • 13 Dec 2015 • Shixia Liu, Jialun Yin, Xiting Wang, Weiwei Cui, Kelei Cao, Jian Pei

To this end, we learn a set of streaming tree cuts from topic trees based on user-selected focus nodes.