Yi Qi Liu

Emailjtankjlyqnavercom

h-index

Research activity per year

Fingerprint

Dive into the research topics where Yi Qi Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

Multivariate Time Series Anomaly Detection Using Working Memory Connections in Bi-Directional Long Short-Term Memory Autoencoder Network
Ding, X., Wang, J., Liu, Y. & Jung, U., Mar 2025, In: Applied Sciences (Switzerland). 15, 5, 2861.
Research output: Contribution to journal › Article › peer-review

Open Access
6 Scopus citations
Nonparametric multivariate control chart based on density-sensitive novelty weight for non-normal processes
Liu, Y., Liu, Y. & Jung, U., 3 Mar 2020, In: Quality Technology and Quantitative Management. 17, 2, p. 203-215 13 p.
Research output: Contribution to journal › Article › peer-review
10 Scopus citations

Dongguk University Researchers Discuss Research in Applied Sciences (Multivariate Time Series Anomaly Detection Using Working Memory Connections in Bi-Directional Long Short-Term Memory Autoencoder Network)
Jung, U. & Liu, Y. Q.
24/03/25
1 item of Media coverage
Press/Media

Yi Qi Liu

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Multivariate Time Series Anomaly Detection Using Working Memory Connections in Bi-Directional Long Short-Term Memory Autoencoder Network

Nonparametric multivariate control chart based on density-sensitive novelty weight for non-normal processes

Dongguk University Researchers Discuss Research in Applied Sciences (Multivariate Time Series Anomaly Detection Using Working Memory Connections in Bi-Directional Long Short-Term Memory Autoencoder Network)

Yi Qi Liu

Fingerprint

Collaborations and top research areas from the last five years

Research output

Multivariate Time Series Anomaly Detection Using Working Memory Connections in Bi-Directional Long Short-Term Memory Autoencoder Network

Nonparametric multivariate control chart based on density-sensitive novelty weight for non-normal processes

Press/Media

Dongguk University Researchers Discuss Research in Applied Sciences (Multivariate Time Series Anomaly Detection Using Working Memory Connections in Bi-Directional Long Short-Term Memory Autoencoder Network)