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Liangying Peng
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2020 – today
- 2024
- [j8]Ling Chen
, Hanyu Long
, Jiahui Xu, Binqing Wu, Hang Zhou, Xing Tang
, Liangying Peng:
Deep Citywide Multisource Data Fusion-Based Air Quality Estimation. IEEE Trans. Cybern. 54(1): 111-122 (2024) - 2023
- [j7]Ling Chen, Yingsong Luo, Liangying Peng, Rong Hu, Yi Zhang, Shenghuan Miao:
A multi-graph convolutional network based wearable human activity recognition method using multi-sensors. Appl. Intell. 53(23): 28169-28185 (2023) - [j6]Ling Chen
, Yi Zhang, Shenghuan Miao
, Sirou Zhu, Rong Hu, Liangying Peng, Mingqi Lv
:
SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition. IEEE Trans. Mob. Comput. 22(9): 5492-5503 (2023) - [c6]Jun Feng, Hongkai Wang, Liangying Peng, Yidan Wang, Haomin Song, Hongju Guo:
Chinese Named Entity Recognition Within the Electric Power Domain. EISA 2023: 133-146 - 2022
- [c5]Xiao Liang, Wensi Zhang, Shuya Lei, Yifang Zhang, Moxuan Xu, Liangying Peng, Jun Feng:
Multi-Classification of Electric Power Metadata based on Prompt-tuning. AIMS 2022: 102-114 - [c4]Jianping Huang, Hao Chen, Hongkai Wang, Jun Feng, Liangying Peng, Zheng Liang, Hongzhi Wang, Tianlan Fan, Tianren Yu:
Time Series Data Quality Enhancing Based on Pattern Alignment. DASFAA (Workshops) 2022: 363-375 - [c3]Weiwei Liu, Shuya Lei, Liangying Peng, Jun Feng, Sichen Pan, Meng Gao:
Active Anomaly Detection Technology Based on Ensemble Learning. ICPCSEE (1) 2022: 53-66 - [c2]Hongkai Wang, Jun Feng, Liangying Peng, Sichen Pan, Shuai Zhao, Helin Jin:
Anomaly Detection of Multivariate Time Series Based on Metric Learning. ICPCSEE (1) 2022: 94-110 - 2021
- [j5]Ling Chen
, Xiaoze Liu, Liangying Peng, Menghan Wu
:
Deep learning based multimodal complex human activity recognition using wearable devices. Appl. Intell. 51(6): 4029-4042 (2021) - [i1]Ling Chen, Yi Zhang, Sirou Zhu, Shenghuan Miao, Liangying Peng, Rong Hu, Mingqi Lv:
SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition. CoRR abs/2108.10213 (2021) - 2020
- [j4]Ling Chen, Yi Zhang, Liangying Peng:
METIER: A Deep Multi-Task Learning Based Activity and User Recognition Model Using Wearable Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 5:1-5:18 (2020)
2010 – 2019
- 2019
- [j3]Liangying Peng, Ling Chen
, Menghan Wu, Gencai Chen:
Complex Activity Recognition Using Acceleration, Vital Sign, and Location Data. IEEE Trans. Mob. Comput. 18(7): 1488-1498 (2019) - 2018
- [j2]Liangying Peng, Ling Chen, Zhenan Ye, Yi Zhang:
AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(2): 74:1-74:16 (2018) - 2017
- [j1]Liangying Peng, Ling Chen, Xiaojie Wu, Haodong Guo, Gencai Chen:
Hierarchical Complex Activity Representation and Recognition Using Topic Model and Classifier Level Fusion. IEEE Trans. Biomed. Eng. 64(6): 1369-1379 (2017) - 2016
- [c1]Haodong Guo, Ling Chen, Liangying Peng, Gencai Chen:
Wearable sensor based multimodal human activity recognition exploiting the diversity of classifier ensemble. UbiComp 2016: 1112-1123
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