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Lingfei Mo
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2020 – today
- 2025
- [j19]Youdong Zhang, Lingfei Mo, Xu He, Xiaolin Meng:
Unsupervised spiking neural network based on liquid state machine and self-organizing map. Neurocomputing 620: 129120 (2025) - 2024
- [j18]Yifeng Wu
, Xu He
, Lingfei Mo
, Qing Wang
:
Self-Attention-Assisted TinyML With Effective Representation for UWB NLOS Identification. IEEE Internet Things J. 11(15): 25471-25480 (2024) - [j17]Xu He
, Runkun Yang, Lingfei Mo
, Xiaolin Meng
, Fanxing Yang, Youdong Zhang
, Qing Wang
:
A Lightweight UWB NLOS Detection Algorithm Using Referenced CIR Similarity Metrics. IEEE Wirel. Commun. Lett. 13(10): 2797-2801 (2024) - 2023
- [j16]Tiansheng Chen, Lingfei Mo:
Swin-Fusion: Swin-Transformer with Feature Fusion for Human Action Recognition. Neural Process. Lett. 55(8): 11109-11130 (2023) - [j15]Lingfei Mo
, Yaojie Zhu, Lujie Zeng:
A Multi-Label Based Physical Activity Recognition via Cascade Classifier. Sensors 23(5): 2593 (2023) - [j14]Xu He
, Lingfei Mo
, Qing Wang
:
An Attention-Assisted UWB Ranging Error Compensation Algorithm. IEEE Wirel. Commun. Lett. 12(3): 421-425 (2023) - 2022
- [j13]Zheng Chong, Lingfei Mo:
ST-VTON: Self-supervised vision transformer for image-based virtual try-on. Image Vis. Comput. 127: 104568 (2022) - [j12]Lingfei Mo
, Xuchen Guan
:
Neural component search for single image super-resolution. Signal Process. Image Commun. 106: 116725 (2022) - [j11]Chengchao Jiang
, Lingfei Mo
, Qing Wang
:
Transfer-Learning-Based Ranging Error Mitigation With Mobile Anchor in Village Cadastral Survey. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [c8]Chenyang Li, Chee Keong Kwoh, Xiaoli Li, Lingfei Mo, Ruqiang Yan:
Rotating Machinery Fault Diagnosis Based on Multi-sensor Information Fusion Using Graph Attention Network. ICARCV 2022: 678-683 - 2021
- [j10]Chenyang Li
, Lingfei Mo
, Ruqiang Yan:
Fault Diagnosis of Rolling Bearing Based on WHVG and GCN. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - 2020
- [j9]Xuchen Guan
, Lingfei Mo
:
Unsupervised Conditional Reflex Learning Based on Convolutional Spiking Neural Network and Reward Modulation. IEEE Access 8: 17673-17690 (2020) - [j8]Chuanzhe Suo
, Zhe Liu
, Lingfei Mo
, Yunhui Liu
:
LPD-AE: Latent Space Representation of Large-Scale 3D Point Cloud. IEEE Access 8: 108402-108417 (2020) - [j7]Wenqi Hua, Lingfei Mo
:
Clustering Ensemble Model Based on Self-Organizing Map Network. Comput. Intell. Neurosci. 2020: 2971565:1-2971565:11 (2020) - [j6]Yang Qin, Lingfei Mo
, Chenyang Li, Jiayi Luo:
Skeleton-based action recognition by part-aware graph convolutional networks. Vis. Comput. 36(3): 621-631 (2020)
2010 – 2019
- 2019
- [j5]Lingfei Mo
, Lujie Zeng, Shaopeng Liu, Robert X. Gao:
Multi-Sensor Activity Monitoring: Combination of Models with Class-Specific Voting. Inf. 10(6): 197 (2019) - [j4]Lingfei Mo
, Chenyang Li
:
Passive UHF-RFID Localization Based on the Similarity Measurement of Virtual Reference Tags. IEEE Trans. Instrum. Meas. 68(8): 2926-2933 (2019) - 2017
- [c7]Yang Qin, Lingfei Mo, Benyi Xie:
Feature fusion for human action recognition based on classical descriptors and 3D convolutional networks. ICST 2017: 1-5 - 2016
- [j3]Yan Yu, Lingfei Mo, Jian Wang:
Identifying Topic-Specific Experts on Microblog. KSII Trans. Internet Inf. Syst. 10(6): 2627-2647 (2016) - [c6]Chenyang Li, Lingfei Mo, XiuJuan Xie:
Localization of passive UHF RFID tags on assembly line based on phase difference. I2MTC 2016: 1-6 - [c5]Lingfei Mo, Fan Li, Yanjia Zhu, Anjie Huang:
Human physical activity recognition based on computer vision with deep learning model. I2MTC 2016: 1-6 - 2015
- [c4]Yan Yu, Lingfei Mo:
Investigating Correlation Between Strength of Social Relationship and Interest Similarity. CSoNet 2015: 172-181 - [c3]Zengtao Feng, Lingfei Mo, Meng Li:
A Random Forest-based ensemble method for activity recognition. EMBC 2015: 5074-5077 - 2013
- [c2]Lingfei Mo, Shaopeng Liu, Robert X. Gao, Patty S. Freedson:
Energy-efficient and data synchronized body sensor network for physical activity measurement. I2MTC 2013: 1120-1124 - 2012
- [j2]Lingfei Mo, Shaopeng Liu, Robert X. Gao, Dinesh John, John Staudenmayer, Patty S. Freedson:
Wireless Design of a Multisensor System for Physical Activity Monitoring. IEEE Trans. Biomed. Eng. 59(11-2): 3230-3237 (2012) - 2011
- [j1]Qunying Sun, Hongjian Zhang, Lingfei Mo:
Dual-reader wireless protocols for dense active RFID identification. Int. J. Commun. Syst. 24(11): 1431-1444 (2011) - [c1]Lingfei Mo, Shaopeng Liu, Robert X. Gao, Dinesh John, John Staudenmayer, Patty S. Freedson:
ZigBee-based wireless multi-sensor system for physical activity assessment. EMBC 2011: 846-849
Coauthor Index
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