Data-centric artificial intelligence: A survey

D Zha, ZP Bhat, KH Lai, F Yang, Z Jiang… - ACM Computing …, 2025 - dl.acm.org
Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler
of its great success is the availability of abundant and high-quality data for building machine …

Data-centric ai: Perspectives and challenges

D Zha, ZP Bhat, KH Lai, F Yang, X Hu - Proceedings of the 2023 SIAM …, 2023 - SIAM
The role of data in building AI systems has recently been significantly magnified by the
emerging concept of data-centric AI (DCAI), which advocates a fundamental shift from model …

Adbench: Anomaly detection benchmark

S Han, X Hu, H Huang, M Jiang… - Advances in Neural …, 2022 - proceedings.neurips.cc
Given a long list of anomaly detection algorithms developed in the last few decades, how do
they perform with regard to (i) varying levels of supervision,(ii) different types of anomalies …

Adgym: Design choices for deep anomaly detection

M Jiang, C Hou, A Zheng, S Han… - Advances in …, 2024 - proceedings.neurips.cc
Deep learning (DL) techniques have recently found success in anomaly detection (AD)
across various fields such as finance, medical services, and cloud computing. However …