162 citations · 923 across the 35 of their papers we have counts for
35 papers
Observatory: Characterizing Embeddings of Relational Tables
Tianji Cong, Madelon Hulsebos, Zhenjie Sun +2
Language models and specialized table embedding models have recently demonstrated strong performance on many tasks over tabular data. Researchers and practitioners are keen to leve…
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions
Yin Lin, Bolin Ding, H. V. Jagadish +1
Before applying data analytics or machine learning to a data set, a vital step is usually the construction of an informative set of features from the data. In this paper, we presen…
Pylon: Semantic Table Union Search in Data Lakes
Tianji Cong, Fatemeh Nargesian, H. V. Jagadish
The large size and fast growth of data repositories, such as data lakes, has spurred the need for data discovery to help analysts find related data. The problem has become challeng…
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses
Tianji Cong, James Gale, Jason Frantz +2
Data discovery is a major challenge in enterprise data analysis: users often struggle to find data relevant to their analysis goals or even to navigate through data across data sou…
Detection of Groups with Biased Representation in Ranking
Jinyang Li, Yuval Moskovitch, H. V. Jagadish
Real-life tools for decision-making in many critical domains are based on ranking results. With the increasing awareness of algorithmic fairness, recent works have presented measur…
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams
Kaixin Wang, Cheng Long, Da Yan +2
As the popularity of graph data increases, there is a growing need to count the occurrences of subgraph patterns of interest, for a variety of applications. Many graphs are massive…