Ju Fan

About Ju Fan

Ju Fan, With an exceptional h-index of 25 and a recent h-index of 22 (since 2020), a distinguished researcher at Renmin University of China, specializes in the field of Database, Crowdsourcing, Influence Maximization, Data Integration.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Controllable Tabular Data Synthesis Using Diffusion Models

DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation

Tabular data synthesis with generative adversarial networks: design space and optimizations

CodeS: Towards Building Open-source Language Models for Text-to-SQL

Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration

Seed: Domain-specific data curation with large language models

Seed: Simple, efficient, and effective data management via large language models

Ju Fan Information

University

Position

___

Citations(all)

2779

Citations(since 2020)

1972

Cited By

1514

hIndex(all)

25

hIndex(since 2020)

22

i10Index(all)

43

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Ju Fan Skills & Research Interests

Database

Crowdsourcing

Influence Maximization

Data Integration

Top articles of Ju Fan

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

arXiv preprint arXiv:2404.12608

2024/4/19

Controllable Tabular Data Synthesis Using Diffusion Models

Proceedings of the ACM on Management of Data

2024/3/26

DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Ju Fan
Ju Fan

H-Index: 16

Tabular data synthesis with generative adversarial networks: design space and optimizations

The VLDB Journal

2024/3

CodeS: Towards Building Open-source Language Models for Text-to-SQL

arXiv preprint arXiv:2402.16347

2024/2/26

Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration

arXiv preprint arXiv:2312.03987

2023/12/7

Seed: Domain-specific data curation with large language models

arXiv e-prints

2023/10

Seed: Simple, efficient, and effective data management via large language models

arXiv preprint arXiv:2310.00749

2023/10/1

VerifAI: Verified Generative AI

arXiv preprint arXiv:2307.02796

2023/7/6

Few-shot text-to-sql translation using structure and content prompt learning

2023

Ju Fan
Ju Fan

H-Index: 16

Lei Cao
Lei Cao

H-Index: 10

GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data

Proceedings of the ACM on Management of Data

2023/6/20

Interleaving pre-trained language models and large language models for zero-shot nl2sql generation

arXiv preprint arXiv:2306.08891

2023/6/15

Demystifying Artificial Intelligence for Data Preparation

2023/6/4

Unicorn: A unified multi-tasking model for supporting matching tasks in data integration

Proceedings of the ACM on Management of Data

2023/5/30

Haipipe: Combining human-generated and machine-generated pipelines for data preparation

Proceedings of the ACM on Management of Data

2023/5/30

ChatPipe: Orchestrating Data Preparation Program by Optimizing Human-ChatGPT Interactions

arXiv preprint arXiv:2304.03540

2023/4/7

Ju Fan
Ju Fan

H-Index: 16

Symphony: Towards natural language query answering over multi-modal data lakes

2023/1

Lei Cao
Lei Cao

H-Index: 10

Ju Fan
Ju Fan

H-Index: 16

Contextual expressive text-to-speech

arXiv preprint arXiv:2211.14548

2022/11/26

PASTA: table-operations aware fact verification via sentence-table cloze pre-training

arXiv preprint arXiv:2211.02816

2022/11/5

Ju Fan
Ju Fan

H-Index: 16

Dader: hands-off entity resolution with domain adaptation

Proceedings of the VLDB Endowment

2022/8/1

See List of Professors in Ju Fan University(Renmin University of China)

Co-Authors

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