Scholar
Ju Fan
Google Scholar ID: nl8dmycAAAAJ
Renmin University of China
Citations & Impact
Citations
3,446
H-index
30
i10-index
57
Publications
20
Co-authors
16
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Selected Publications:
- - Controllable Tabular Data Synthesis Using Diffusion Models, SIGMOD 2024
- - Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations, SIGMOD 2024
- - CodeS: Towards Building Open-source Language Models for Text-to-SQL, SIGMOD 2024
- - MisDetect: Iterative Mislabel Detection using Early Loss, VLDB 2024
- - Improving Graph Compression for Efficient Resource-Constrained Graph Analytics, VLDB 2024
- - Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL, VLDB 2024
- - Unicorn: A Unified Multi-Tasking Matching Model, SIGMOD 2024
- - Tabular data synthesis with generative adversarial networks: design space and optimizations, VLDB Journal 2024
- - DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation, AAAI 2024
- - VerifAI: Verified Generative AI, CIDR 2024
- - Representation Learning for Entity Alignment in Knowledge Graph: A Design Space Exploration, ICDE 2024
- - Mitigating Data Scarcity in Supervised Machine Learning Through Reinforcement Learning Guided Data Generation, ICDE 2024
- - A Multi-Task Learning Framework for Reading Comprehension of Scientific Tabular Data, ICDE 2024
- - IDE: A System for Iterative Mislabel Detection
- Awards and Honors:
- - The deep learning-based database testing and query generation research project has been selected as an excellent case in the first CCF Industry-Academia Cooperation Fund project evaluation (Jan 2, 2025)
- - Professor Ju Fan Re-elected as Vice Chairman of YOCSEF AC (Dec 28, 2024)
- - One paper “Automatic Database Configuration Debugging using Retrieval-Augmented Language Models” has been accepted by SIGMOD 2025 (Nov 11, 2024)
Research Experience
- Professor at the School of Information, Renmin University of China; Leader of DBAI research group, focusing on data preparation and broader data governance technologies and systems.
Education
- Ph.D. at Tsinghua University (2012); Postdoc at National University of Singapore (2015).
Background
- Research Area: Database Systems, Big Data Analytics; Research Interests: AI4DB, with a special focus on developing deep learning algorithms and systems for Data Preparation.
Miscellany
- Welcome interested students to join the DBAI research group.
