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Advancing the state-of-the-art in Data+AI systems through high-impact research publications in top-tier conferences and journals.

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19
2026 Publications
4
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2026
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26

2026 Publications

19 distinct publications · Updated September 29, 2026. Coauthored papers are listed once.

25

2025 Publications

Frontiers Comput. Sci. 2025

Large language model for table processing: a survey

Weizheng Lu, Jing Zhang, Ju Fan, Zihao Fu, Yueguo Chen, Xiaoyong Du

LLM Table Processing Survey
Frontiers Comput. Sci. 19(2): 192350
VLDB 2025

Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation

Changlun Li, Chenyu Yang, Yuyu Luo, Ju Fan, Nan Tang

Data Transformation LLM Cost-Effective
Proc. VLDB Endow. 18(8): 2371-2384
SIGMOD 2025

Automatic Database Configuration Debugging using Retrieval-Augmented Language Models

Sibei Chen, Ju Fan, Bin Wu, Nan Tang, Chao Deng, et al.

AI4DB Database Debugging RAG
Proc. ACM Manag. Data 3(1): 13:1-13:27
ICLR 2025

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models

Chi Zhang, Huaping Zhong, Kuan Zhang, Chengliang Chai, et al.

LLM Pretraining Data Selection
ICLR 2025
ACM Trans. Database Syst. 2025

Cost-effective Missing Value Imputation for Data-effective Machine Learning

Chengliang Chai, Kaisen Jin, Nan Tang, Ju Fan, Dongjing Miao, et al.

Missing Data Machine Learning Cost-Effective
ACM Trans. Database Syst. 50(3): 10:1-10:36
24

2024 Publications

IEEE Data Eng. Bull. 2024

Symphony: Towards Trustworthy Question Answering and Verification using RAG over Multimodal Data Lakes

Nan Tang, Chenyu Yang, Zhengxuan Zhang, Yuyu Luo, Ju Fan, Lei Cao, Sam Madden, Alon Y. Halevy

RAG Data Lakes Multimodal
IEEE Data Eng. Bull. 48(4): 135-146
Proc. ACM Manag. Data 2024

Controllable Tabular Data Synthesis Using Diffusion Models

Tongyu Liu, Ju Fan, Nan Tang, Guoliang Li, Xiaoyong Du

Data Synthesis Diffusion Models
Proc. ACM Manag. Data 2(1): 28:1-28:29
Proc. ACM Manag. Data 2024

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

Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri

AI4DS Formula Recommendation
Proc. ACM Manag. Data 2(3): 122
Proc. ACM Manag. Data 2024

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

Haoyang Li, Jing Zhang, Hanbing Liu, Ju Fan, Xiaokang Zhang, Jun Zhu, Renjie Wei, Hongyan Pan, Cuiping Li, Hong Chen

Text-to-SQL Open-source
Proc. ACM Manag. Data 2(3): 127
Proc. VLDB Endow. 2024

MisDetect: Iterative Mislabel Detection using Early Loss

Yuhao Deng, Chengliang Chai, Lei Cao, Nan Tang, Jiayi Wang, Ju Fan, Ye Yuan, Guoren Wang

Mislabel Detection Early Loss
Proc. VLDB Endow. 17(6): 1159-1172
Proc. VLDB Endow. 2024

Improving Graph Compression for Efficient Resource-Constrained Graph Analytics

Qian Xu, Juan Yang, Feng Zhang, Zheng Chen, Jiawei Guan, Kang Chen, Ju Fan, Youren Shen, Ke Yang, Yu Zhang, Xiaoyong Du

Graph Compression Graph Analytics
Proc. VLDB Endow. 17(9): 2212-2226
Proc. VLDB Endow. 2024

Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL

Ju Fan, Zihui Gu, Songyue Zhang, Yuxin Zhang, Zui Chen, Lei Cao, Guoliang Li, Samuel Madden, Xiaoyong Du, Nan Tang

NL2SQL Zero-Shot
Proc. VLDB Endow. 17(11): 2750-2763
SIGMOD Rec. 2024

Unicorn: A Unified Multi-Tasking Matching Model

Ju Fan, Jianhong Tu, Guoliang Li, Peng Wang, Xiaoyong Du, Xiaofeng Jia, Song Gao, Nan Tang

Multi-Task Entity Matching
SIGMOD Rec. 53(1): 44-53
VLDB J. 2024

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

Tongyu Liu, Ju Fan, Guoliang Li, Nan Tang, Xiaoyong Du

GANs Data Synthesis
VLDB J. 33(2): 255-280
AAAI 2024

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

Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu, Ju Fan

Evaluation LLM
AAAI 2024: 18108-18116
CIDR 2024

VerifAI: Verified Generative AI

Nan Tang, Chenyu Yang, Ju Fan, Lei Cao, Yuyu Luo, Alon Y. Halevy

AI Verification Generative AI
CIDR 2024
ICDE 2024

Representation Learning for Entity Alignment in Knowledge Graph: A Design Space Exploration

Peng Huang, Meihui Zhang, Ziyue Zhong, Chengliang Chai, Ju Fan

Entity Alignment Knowledge Graph
ICDE 2024: 3462-3475
ICDE 2024

Mitigating Data Scarcity in Supervised Machine Learning Through Reinforcement Learning Guided Data Generation

Chengliang Chai, Kaisen Jin, Nan Tang, Ju Fan, Lianpeng Qiao, Yuping Wang, Yuyu Luo, Ye Yuan, Guoren Wang

Data Generation Reinforcement Learning
ICDE 2024: 3613-3626
ICDE 2024

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

Meihao Fan, Xiaoyue Han, Ju Fan, Chengliang Chai, Nan Tang, Guoliang Li, Xiaoyong Du

Entity Resolution In-Context Learning
ICDE 2024: 3696-3709
ICDE 2024

A Multi-Task Learning Framework for Reading Comprehension of Scientific Tabular Data

Xu Yang, Meihui Zhang, Ju Fan, Zeyu Luo, Yuxin Yang

Reading Comprehension Multi-Task Learning
ICDE 2024: 3710-3724
SIGMOD Companion 2024

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

Sibei Chen, Hanbing Liu, Waiting Jin, Xiangyu Sun, Xiaoyao Feng, Ju Fan, Xiaoyong Du, Nan Tang

AI4DS Data Preparation
SIGMOD Conference Companion 2024: 484-487
SIGMOD Companion 2024

IDE: A System for Iterative Mislabel Detection

Yuhao Deng, Deng Qiyan, Chengliang Chai, Lei Cao, Nan Tang, Ju Fan, Jiayi Wang, Ye Yuan, Guoren Wang

Mislabel Detection System
SIGMOD Conference Companion 2024: 500-503
23

2023 Publications

Proc. ACM Manag. Data 2023

Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration

Jianhong Tu, Ju Fan, Nan Tang, Peng Wang, Guoliang Li, Xiaoyong Du, Xiaofeng Jia, Song Gao

Multi-Task Data Integration
Proc. ACM Manag. Data 1(1): 84:1-84:26
Proc. ACM Manag. Data 2023

HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation

Sibei Chen, Nan Tang, Ju Fan, Xuemi Yan, Chengliang Chai, Guoliang Li, Xiaoyong Du

AI4DS Data Preparation
Proc. ACM Manag. Data 1(1): 91:1-91:26
Proc. ACM Manag. Data 2023

Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning

Zihui Gu, Ju Fan, Nan Tang, Lei Cao, Bowen Jia, Sam Madden, Xiaoyong Du

Text-to-SQL Few-shot
Proc. ACM Manag. Data 1(2): 147:1-147:28
Proc. ACM Manag. Data 2023

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

Chengliang Chai, Jiabin Liu, Nan Tang, Ju Fan, Dongjing Miao, Jiayi Wang, Yuyu Luo, Guoliang Li

Coreset Selection Machine Learning
Proc. ACM Manag. Data 1(2): 157:1-157:27
CIDR 2023

Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes

Zui Chen, Zihui Gu, Lei Cao, Ju Fan, Samuel Madden, Nan Tang

Natural Language Data Lakes Multi-modal
CIDR 2023
SIGMOD Companion 2023

Demystifying Artificial Intelligence for Data Preparation

Chengliang Chai, Nan Tang, Ju Fan, Yuyu Luo

AI4DS Data Preparation
SIGMOD Conference Companion 2023: 13-20
SIGMOD Companion 2023

Pay "Attention" to Chart Images for What You Read on Text

Chenyu Yang, Ruixue Fan, Nan Tang, Meihui Zhang, Xiaoman Zhao, Ju Fan, Xiaoyong Du

Chart Understanding Attention
SIGMOD Conference Companion 2023: 111-114
22

2022 Publications

Int. J. Softw. Informatics 2022

Preface to Special Issue on New Technologies of Database Systems

Guoliang Li, Ge Yu, Jun Yang, Ju Fan

Editorial Database Systems
Int. J. Softw. Informatics 12(1): 1-5
Internet Res. 2022

Interpretable MOOC recommendation: a multi-attention network for personalized learning behavior analysis

Ju Fan, Yuanchun Jiang, Yezheng Liu, Yonghang Zhou

MOOC Recommendation Multi-attention
Internet Res. 32(2): 588-605
Proc. VLDB Endow. 2022

DADER: Hands-Off Entity Resolution with Domain Adaptation

Jianhong Tu, Xiaoyue Han, Ju Fan, Nan Tang, Chengliang Chai, Guoliang Li, Xiaoyong Du

Entity Resolution Domain Adaptation
Proc. VLDB Endow. 15(12): 3666-3669
DASFAA 2022

A Two-Phase Approach for Recognizing Tables with Complex Structures

Huichao Li, Ling-Ze Meng, Weiyu Zhang, Jianing Zhang, Ju Fan, Meihui Zhang

Table Recognition Complex Structures
DASFAA (1) 2022: 587-595
EMNLP 2022

PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training

Zihui Gu, Ju Fan, Nan Tang, Preslav Nakov, Xiaoman Zhao, Xiaoyong Du

Fact Verification Table Operations
EMNLP 2022: 4971-4983
ICDE 2022

Semantics Driven Embedding Learning for Effective Entity Alignment

Ziyue Zhong, Meihui Zhang, Ju Fan, Chenxiao Dou

Entity Alignment Embedding Learning
ICDE 2022: 2127-2140
ICDE 2022

Local Clustering over Labeled Graphs: An Index-Free Approach

Yudong Niu, Yuchen Li, Ju Fan, Zhifeng Bao

Graph Clustering Index-Free
ICDE 2022: 2805-2817
SIGMOD 2022

Domain Adaptation for Deep Entity Resolution

Jianhong Tu, Ju Fan, Nan Tang, Peng Wang, Chengliang Chai, Guoliang Li, Ruixue Fan, Xiaoyong Du

Entity Resolution Deep Learning
SIGMOD Conference 2022: 443-457
SIGMOD 2022

OpenTFV: An Open Domain Table-Based Fact Verification System

Zihui Gu, Ruixue Fan, Xiaoman Zhao, Meihui Zhang, Ju Fan, Xiaoyong Du

Fact Verification Open Domain
SIGMOD Conference 2022: 2405-2408
21

2021 Publications

IEEE Data Eng. Bull. 2021

TFV: A Framework for Table-Based Fact Verification

Mingke Chai, Zihui Gu, Xiaoman Zhao, Ju Fan, Xiaoyong Du

Fact Verification Table-Based
IEEE Data Eng. Bull. 44(3): 39-51
J. Comput. Sci. Technol. 2021

Preface

Guoliang Li, Dong Deng, Ju Fan

Editorial
J. Comput. Sci. Technol. 36(4): 719-720
Proc. VLDB Endow. 2021

Adaptive Data Augmentation for Supervised Learning over Missing Data

Tongyu Liu, Ju Fan, Yinqing Luo, Nan Tang, Guoliang Li, Xiaoyong Du

Data Augmentation Missing Data
Proc. VLDB Endow. 14(7): 1202-1214
Proc. VLDB Endow. 2021

RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation

Nan Tang, Ju Fan, Fangyi Li, Jianhong Tu, Xiaoyong Du, Guoliang Li, Samuel Madden, Mourad Ouzzani

Pre-trained Models Data Preparation Transformers
Proc. VLDB Endow. 14(8): 1254-1261
IEEE Trans. Knowl. Data Eng. 2021

CrowdChart: Crowdsourced Data Extraction From Visualization Charts

Chengliang Chai, Guoliang Li, Ju Fan, Yuyu Luo

Crowdsourcing Chart Extraction
IEEE Trans. Knowl. Data Eng. 33(11): 3537-3549
World Wide Web 2021

A survey of typical attributed graph queries

Yanhao Wang, Yuchen Li, Ju Fan, Chang Ye, Mingke Chai

Survey Graph Queries
World Wide Web 24(1): 297-346
ICDE 2021

A Human-in-the-loop Approach to Social Behavioral Targeting

Jingru Yang, Xiaoman Zhao, Ju Fan, Gong Chen, Chong Peng, Sheng Yao, Xiaoyong Du

Human-in-the-loop Social Targeting
ICDE 2021: 277-288

2020 & Before

VLDB 2020

Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration

Ju Fan, Tongyu Liu, Guoliang Li, Junyou Chen, Yuwei Shen, Xiaoyong Du

Foundational work in relational data synthesis using GANs, establishing key principles for generating high-quality tabular data.

GANs Data Synthesis
VLDB J. 2020

A game-based framework for crowdsourced data labeling

Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du

Innovative game-theoretic approach to crowdsourcing that significantly reduced annotation costs while maintaining quality.

Game Theory Crowdsourcing
AAAI 2020

Social Influence Does Matter: User Action Prediction for In-Feed Advertising

Hongyang Wang, Qingfei Meng, Ju Fan, Yuchen Li, Laizhong Cui, et al.

Early work on social influence modeling for advertising applications, influencing subsequent research in social computing.

Social Influence Advertising
ICDE 2020

Crowdsourcing-based Data Extraction from Visualization Charts

Chengliang Chai, Guoliang Li, Ju Fan, Yuyu Luo

Pioneering work in combining crowdsourcing with chart data extraction, establishing new paradigms for visualization data processing.

Crowdsourcing Chart Extraction
SIGIR 2020

BiANE: Bipartite Attributed Network Embedding

Wentao Huang, Yuchen Li, Yuan Fang, Ju Fan, Hongxia Yang

Important contribution to network embedding research, advancing understanding of bipartite network representations.

Network Embedding Bipartite Networks
IEEE Trans. Knowl. Data Eng. 2019

Distribution-Aware Crowdsourced Entity Collection

Ju Fan, Zhewei Wei, Dongxiang Zhang, Jingru Yang, Xiaoyong Du

Advanced crowdsourcing methodology that considers data distribution, influencing future entity collection strategies.

Crowdsourcing Entity Collection
ICDE 2019

Maximizing Multifaceted Network Influence

Yuchen Li, Ju Fan, George V. Ovchinnikov, Panagiotis Karras

Novel approach to influence maximization considering multiple facets, advancing social network analysis research.

Social Networks Influence Maximization
ICDE 2019

Crowdsourcing Database Systems: Overview and Challenges

Chengliang Chai, Ju Fan, Guoliang Li, Jiannan Wang, Yudian Zheng

Comprehensive overview of crowdsourcing database systems, establishing research directions for the field.

Crowdsourcing Database Systems
SIGMOD 2019

CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling

Tongyu Liu, Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Xiaoyong Du

Practical system demonstrating game-based crowdsourcing effectiveness, bridging theory and application.

Game Theory Data Labeling
IEEE Data Eng. Bull. 2018

Human-in-the-loop Rule Learning for Data Integration

Ju Fan, Guoliang Li

Pioneering work on human-AI collaboration in data integration, establishing principles for interactive data processing.

Human-in-the-loop Data Integration
VLDB 2018

CDB: A Crowd-Powered Database System

Guoliang Li, Chengliang Chai, Ju Fan, Xueping Weng, et al.

Revolutionary crowd-powered database system that integrated human intelligence with traditional database operations.

Crowd Database Query Processing
IEEE Trans. Knowl. Data Eng. 2018

Influence Maximization on Social Graphs: A Survey

Yuchen Li, Ju Fan, Yanhao Wang, Kian-Lee Tan

Comprehensive survey that became a standard reference for influence maximization research in social networks.

Social Networks Survey
ICDE 2018

OCTOPUS: An Online Topic-Aware Influence Analysis System for Social Networks

Ju Fan, Jiarong Qiu, Yuchen Li, Qingfei Meng, et al.

Innovative system for real-time topic-aware influence analysis, advancing social network analytics capabilities.

Social Analytics Real-time System
Encyclopedia 2018

Crowd Database Systems

Ju Fan, Meihui Zhang, Beng Chin Ooi

Authoritative encyclopedia entry defining the field of crowd database systems and their fundamental concepts.

Reference Work Crowdsourcing
Clust. Comput. 2017

Using hybrid algorithmic-crowdsourcing methods for academic knowledge acquisition

Zhaoan Dong, Jiaheng Lu, Tok Wang Ling, Ju Fan, Yueguo Chen

Innovative hybrid approach combining algorithms and crowdsourcing for knowledge acquisition in academic domains.

Hybrid Methods Knowledge Acquisition
ACM Trans. Inf. Syst. 2017

Processing Long Queries Against Short Text: Top-k Advertisement Matching in News Stream Applications

Dongxiang Zhang, Yuchen Li, Ju Fan, Lianli Gao, Fumin Shen, Heng Tao Shen

Novel approach to advertisement matching in streaming news applications, addressing query-text length mismatch challenges.

Advertisement Matching Text Processing
SIGMOD 2017

Discovering Your Selling Points: Personalized Social Influential Tags Exploration

Yuchen Li, Ju Fan, Dongxiang Zhang, Kian-Lee Tan

Pioneering work on personalized social influence analysis, introducing novel methods for tag-based influence discovery.

Social Influence Personalization
SIGMOD 2017

CDB: Optimizing Queries with Crowd-Based Selections and Joins

Guoliang Li, Chengliang Chai, Ju Fan, Xueping Weng, et al.

Groundbreaking work on crowd-powered database queries, establishing new paradigms for human-in-the-loop data processing.

Crowd Database Query Optimization
SIGMOD 2017

Crowdsourced Data Management: Overview and Challenges

Guoliang Li, Yudian Zheng, Ju Fan, Jiannan Wang, Reynold Cheng

Seminal survey paper defining the field of crowdsourced data management and establishing key research directions.

Survey Data Management
ADC 2016

Linking News and Tweets

Xiaojie Lin, Ye Gu, Rui Zhang, Ju Fan

Early work on linking social media content with news articles, contributing to cross-platform information analysis.

Social Media Information Linking
ICDE 2016

CrowdOp: Query optimization for declarative crowdsourcing systems

Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, Beng Chin Ooi

Advanced query optimization techniques for crowdsourcing systems, establishing theoretical foundations for crowd-powered databases.

Query Optimization Crowdsourcing
VLDB 2015

Online Topic-Aware Influence Maximization

Shuo Chen, Ju Fan, Guoliang Li, Jianhua Feng, Kian-Lee Tan, Jinhui Tang

Novel approach to real-time influence maximization considering topic relevance, advancing social network analysis.

Influence Maximization Topic-Aware
SIGMOD 2015

iCrowd: An Adaptive Crowdsourcing Framework

Ju Fan, Guoliang Li, Beng Chin Ooi, Kian-Lee Tan, Jianhua Feng

Foundational crowdsourcing work that established key principles for human-AI collaboration in data management systems.

Crowdsourcing Adaptive Systems
VLDB 2014

GEMINI: An Integrative Healthcare Analytics System

Zheng Jye Ling, Quoc Trung Tran, Ju Fan, Gerald Choon Huat Koh, et al.

Comprehensive healthcare analytics system integrating multiple data sources for medical research and clinical applications.

Healthcare Analytics System
ICDE 2014

A hybrid machine-crowdsourcing system for matching web tables

Ju Fan, Meiyu Lu, Beng Chin Ooi, Wang-Chiew Tan, Meihui Zhang

Early pioneering work combining machine learning and crowdsourcing for web table matching, establishing hybrid AI-human paradigms.

Hybrid Systems Table Matching
ACM Multimedia 2014

Song Recommendation for Social Singing Community

Kuang Mao, Ju Fan, Lidan Shou, Gang Chen, Mohan S. Kankanhalli

Novel approach to music recommendation in social singing applications, contributing to multimedia and social computing research.

Music Recommendation Social Computing
IEEE Trans. Knowl. Data Eng. 2013

A User-Friendly Patent Search Paradigm

Yang Cao, Ju Fan, Guoliang Li

Innovative patent search system improving user experience and search effectiveness in intellectual property domain.

Patent Search User Interface
IJCAI 2013

Crowdsourcing-Assisted Query Structure Interpretation

Jun Han, Ju Fan, Lizhu Zhou

Early application of crowdsourcing to natural language query understanding, bridging human intelligence and query processing.

Query Interpretation Crowdsourcing
VLDB 2012

SEAL: Spatio-Textual Similarity Search

Ju Fan, Guoliang Li, Lizhu Zhou, Shanshan Chen, Jun Hu

Innovative approach to spatial-textual data processing, influential in location-based services and spatial database research.

Spatial-Textual Similarity Search
CIKM 2012

Location-aware instant search

Ruicheng Zhong, Ju Fan, Guoliang Li, Kian-Lee Tan, Lizhu Zhou

Early work on location-aware search systems, contributing to mobile and location-based service technologies.

Location-Aware Instant Search
ICDE 2011

Interactive SQL query suggestion: Making databases user-friendly

Ju Fan, Guoliang Li, Lizhu Zhou

Pioneering work on intelligent database systems and query recommendation, establishing foundations for user-friendly database interfaces.

Query Suggestion User Interface
ICDM 2010

Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model

Qingyan Yang, Ju Fan, Jianyong Wang, Lizhu Zhou

Early contribution to personalized web recommendation, combining collaborative filtering with probabilistic models.

Personalization Recommendation
ER 2008

SESQ: A Model-Driven Method for Building Object Level Vertical Search Engines

Ling Lin, Yukai He, Hang Guo, Ju Fan, Lizhu Zhou, Qi Guo, Gang Li

Early foundational work in vertical search engines, establishing model-driven approaches for object-level search systems.

Search Engines Model-Driven

Recognition & Awards

SIGMOD Research Highlight Award

2024 / ACM SIGMOD

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