Yongmou Li

According to our database, Yongmou Li authored at least 8 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

FAAD: an unsupervised fast and accurate anomaly detection method for a multi-dimensional sequence over data stream.

Bin Li, Yijie Wang, Dongsheng Yang, Yongmou Li, Xingkong Ma

Frontiers Inf. Technol. Electron. Eng., 2019

Variational autoencoder-based outlier detection for high-dimensional data.

Yongmou Li, Yijie Wang, Xingkong Ma

Intell. Data Anal., 2019

A Graph-Based Method for Active Outlier Detection With Limited Expert Feedback.

Yongmou Li, Yijie Wang, Xingkong Ma, Cheng Qian, Xiaoyong Li

IEEE Access, 2019

Improve the Detection of Clustered Outliers via Outlier Score Propagation.

Yongmou Li, Yijie Wang, Hongtao Guan

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

DCIGAN: A Distributed Class-Incremental Learning Method Based on Generative Adversarial Networks.

Hongtao Guan, Yijie Wang, Xingkong Ma, Yongmou Li

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

A Distributed Class-Incremental Learning Method Based on Neural Network Parameter Fusion.

Hongtao Guan, Yijie Wang, Xingkong Ma, Yongmou Li

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2016

A Variable Markovian Based Outlier Detection Method for Multi-Dimensional Sequence over Data Stream.

Dongsheng Yang, Yijie Wang, Yongmou Li, Xingkong Ma

Proceedings of the 17th International Conference on Parallel and Distributed Computing, 2016

2014

Unsupervised Feature Learning for Human Activity Recognition Using Smartphone Sensors.

Yongmou Li, Dian-xi Shi, Bo Ding, Dongbo Liu

Proceedings of the Mining Intelligence and Knowledge Exploration, 2014