48 citations · 73 across the 11 of their papers we have counts for
11 papers
Data Profiling for Change Rules
Nishttha Sharma, Fei Chiang
Understanding data change is critical towards understanding trends, normal vs. abnormal behaviours, recognizing patterns, and the causes of change. Existing database systems have l…
Adaptive Anomaly Detection in the Presence of Concept Drift: Extended Report
Jongjun Park, Fei Chiang, Mostafa Milani
The presence of concept drift poses challenges for anomaly detection in time series. While anomalies are caused by undesirable changes in the data, differentiating abnormal changes…
Evaluating SQL Understanding in Large Language Models
Ananya Rahaman, Anny Zheng, Mostafa Milani +2
The rise of large language models (LLMs) has significantly impacted various domains, including natural language processing (NLP) and image generation, by making complex computation…
Discovery of Keys for Graphs [Extended Version]
Morteza Alipourlangouri, Fei Chiang
Keys for graphs uses the topology and value constraints needed to uniquely identify entities in a graph database. They have been studied to support object identification, knowledge…
Efficient Action Recognition Using Confidence Distillation
Shervin Manzuri Shalmani, Fei Chiang, Rong Zheng
Modern neural networks are powerful predictive models. However, when it comes to recognizing that they may be wrong about their predictions, they perform poorly. For example, for o…
Temporal Graph Functional Dependencies [Extended Version]
Morteza Alipourlangouri, Adam Mansfield, Fei Chiang +1
Data dependencies have been extended to graphs to characterize topological and value constraints. Existing data dependencies are defined to capture inconsistencies in static graphs…