Liangying Peng

According to our database, Liangying Peng authored at least 14 papers between 2016 and 2024.

Collaborative distances:

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

2024

Deep Citywide Multisource Data Fusion-Based Air Quality Estimation.

Ling Chen, Hanyu Long, Jiahui Xu, Binqing Wu, Hang Zhou, Xing Tang, Liangying Peng

IEEE Trans. Cybern., January, 2024

2023

A multi-graph convolutional network based wearable human activity recognition method using multi-sensors.

Ling Chen, Yingsong Luo, Liangying Peng, Rong Hu, Yi Zhang, Shenghuan Miao

Appl. Intell., December, 2023

SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition.

Ling Chen, Yi Zhang, Shenghuan Miao, Sirou Zhu, Rong Hu, Liangying Peng, Mingqi Lv

IEEE Trans. Mob. Comput., September, 2023

Chinese Named Entity Recognition Within the Electric Power Domain.

Jun Feng, Hongkai Wang, Liangying Peng, Yidan Wang, Haomin Song, Hongju Guo

Proceedings of the Emerging Information Security and Applications, 2023

2022

Anomaly Detection of Multivariate Time Series Based on Metric Learning.

Hongkai Wang, Jun Feng, Liangying Peng, Sichen Pan, Shuai Zhao, Helin Jin

Proceedings of the Data Science, 2022

Active Anomaly Detection Technology Based on Ensemble Learning.

Weiwei Liu, Shuya Lei, Liangying Peng, Jun Feng, Sichen Pan, Meng Gao

Proceedings of the Data Science, 2022

Time Series Data Quality Enhancing Based on Pattern Alignment.

Jianping Huang, Hao Chen, Hongkai Wang, Jun Feng, Liangying Peng, Zheng Liang, Hongzhi Wang, Tianlan Fan, Tianren Yu

Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

Multi-Classification of Electric Power Metadata based on Prompt-tuning.

Xiao Liang, Wensi Zhang, Shuya Lei, Yifang Zhang, Moxuan Xu, Liangying Peng, Jun Feng

Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2022, 2022

2021

Deep learning based multimodal complex human activity recognition using wearable devices.

Ling Chen, Xiaoze Liu, Liangying Peng, Menghan Wu

Appl. Intell., 2021

2020

METIER: A Deep Multi-Task Learning Based Activity and User Recognition Model Using Wearable Sensors.

Ling Chen, Yi Zhang, Liangying Peng

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

2019

Complex Activity Recognition Using Acceleration, Vital Sign, and Location Data.

Liangying Peng, Ling Chen, Menghan Wu, Gencai Chen

IEEE Trans. Mob. Comput., 2019

2018

AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors.

Liangying Peng, Ling Chen, Zhenan Ye, Yi Zhang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

2017

Hierarchical Complex Activity Representation and Recognition Using Topic Model and Classifier Level Fusion.

Liangying Peng, Ling Chen, Xiaojie Wu, Haodong Guo, Gencai Chen

IEEE Trans. Biomed. Eng., 2017

2016

Wearable sensor based multimodal human activity recognition exploiting the diversity of classifier ensemble.

Haodong Guo, Ling Chen, Liangying Peng, Gencai Chen

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016