Wearable sensor based multimodal human activity recognition exploiting the diversity of classifier ensemble. - Haodong Guo; Ling Chen 001; Liangying Peng; Gencai Chen (UbiComp, 2016)

Hierarchical Complex Activity Representation and Recognition Using Topic Model and Classifier Level Fusion. - Liangying Peng; Ling Chen 001; Xiaojie Wu; Haodong Guo; Gencai Chen (IEEE Trans. Biomed. Eng., 2017)

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)

Complex Activity Recognition Using Acceleration, Vital Sign, and Location Data. - Liangying Peng; Ling Chen 001; Menghan Wu; Gencai Chen (IEEE Trans. Mob. Comput., 2019)

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)

Deep learning based multimodal complex human activity recognition using wearable devices. - Ling Chen 001; Xiaoze Liu; Liangying Peng; Menghan Wu (Appl. Intell., 2021)

Multi-Classification of Electric Power Metadata based on Prompt-tuning. - Xiao Liang; Wensi Zhang; Shuya Lei; Yifang Zhang; Moxuan Xu; Liangying Peng; Jun Feng (AIMS, 2022)

Time Series Data Quality Enhancing Based on Pattern Alignment. - Jianping Huang; Hao Chen; Hongkai Wang; Jun Feng; Liangying Peng; Zheng Liang 002; Hongzhi Wang 001; Tianlan Fan; Tianren Yu (DASFAA (Workshops), 2022)

Active Anomaly Detection Technology Based on Ensemble Learning. - Weiwei Liu; Shuya Lei; Liangying Peng; Jun Feng; Sichen Pan; Meng Gao (ICPCSEE (1), 2022)

Anomaly Detection of Multivariate Time Series Based on Metric Learning. - Hongkai Wang; Jun Feng; Liangying Peng; Sichen Pan; Shuai Zhao; Helin Jin (ICPCSEE (1), 2022)

Chinese Named Entity Recognition Within the Electric Power Domain. - Jun Feng; Hongkai Wang; Liangying Peng; Yidan Wang; Haomin Song; Hongju Guo (EISA, 2023)

SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition. - Ling Chen 001; Yi Zhang; Shenghuan Miao; Sirou Zhu; Rong Hu; Liangying Peng; Mingqi Lv (IEEE Trans. Mob. Comput., 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., 2023)

Deep Citywide Multisource Data Fusion-Based Air Quality Estimation. - Ling Chen 001; Hanyu Long; Jiahui Xu; Binqing Wu; Hang Zhou; Xing Tang 006; Liangying Peng (IEEE Trans. Cybern., 2024)