11 citations · 49 across the 9 of their papers we have counts for
9 papers
Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration
Meihao Fan, Xiaoyue Han, Ju Fan +4
Entity resolution (ER) is an important data integration task with a wide spectrum of applications. The state-of-the-art solutions on ER rely on pre-trained language models (PLMs),…
Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation
Zihui Gu, Ju Fan, Nan Tang +7
Zero-shot NL2SQL is crucial in achieving natural language to SQL that is adaptive to new environments (e.g., new databases, new linguistic phenomena or SQL structures) with zero an…
ChatPipe: Orchestrating Data Preparation Program by Optimizing Human-ChatGPT Interactions
Sibei Chen, Hanbing Liu, Weiting Jin +5
Orchestrating a high-quality data preparation program is essential for successful machine learning (ML), but it is known to be time and effort consuming. Despite the impressive cap…
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training
Zihui Gu, Ju Fan, Nan Tang +3
Fact verification has attracted a lot of research attention recently, e.g., in journalism, marketing, and policymaking, as misinformation and disinformation online can sway one's o…
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation
Nan Tang, Ju Fan, Fangyi Li +5
Can AI help automate human-easy but computer-hard data preparation tasks that burden data scientists, practitioners, and crowd workers? We answer this question by presenting RPT, a…
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration
Ju Fan, Tongyu Liu, Guoliang Li +3
The proliferation of big data has brought an urgent demand for privacy-preserving data publishing. Traditional solutions to this demand have limitations on effectively balancing th…
Crowd-Powered Data Mining
Chengliang Chai, Ju Fan, Guoliang Li +2
Many data mining tasks cannot be completely addressed by auto- mated processes, such as sentiment analysis and image classification. Crowdsourcing is an effective way to harness th…
Influential User Subscription on Time-Decaying Social Streams
Xin Yang, Ju Fan
Influence maximization which asks for -size seed set from a social network such that maximizing the influence over all other users (called influence spread) has widely attracted…
SEAL: Spatio-Textual Similarity Search
Ju Fan, Guoliang Li, Lizhu Zhou +2
Location-based services (LBS) have become more and more ubiquitous recently. Existing methods focus on finding relevant points-of-interest (POIs) based on users' locations and quer…