most citedData-centric Artificial Intelligence: A Survey

102 citations · 106 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR20231 cited

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research

Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang +8

The exponential growth in scholarly publications necessitates advanced tools for efficient article retrieval, especially in interdisciplinary fields where diverse terminologies are…

cs.LG20231 cited

CODA: Temporal Domain Generalization via Concept Drift Simulator

Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang +3

In real-world applications, machine learning models often become obsolete due to shifts in the joint distribution arising from underlying temporal trends, a phenomenon known as the…

cs.IR20231 cited

Hessian-aware Quantized Node Embeddings for Recommendation

Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai +4

Graph Neural Networks (GNNs) have achieved state-of-the-art performance in recommender systems. Nevertheless, the process of searching and ranking from a large item corpus usually…

cs.LG20231 cited

Tackling Diverse Minorities in Imbalanced Classification

Kwei-Herng Lai, Daochen Zha, Huiyuan Chen +5

Imbalanced datasets are commonly observed in various real-world applications, presenting significant challenges in training classifiers. When working with large datasets, the imbal…

cs.LG2023

Context-aware Domain Adaptation for Time Series Anomaly Detection

Kwei-Herng Lai, Lan Wang, Huiyuan Chen +4

Time series anomaly detection is a challenging task with a wide range of real-world applications. Due to label sparsity, training a deep anomaly detector often relies on unsupervis…

cs.LG2023102 cited

Data-centric Artificial Intelligence: A Survey

Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai +4

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 buil…