代表性论文
[2020] Wenqi Hua, Lingfei Mo, “Clustering Ensemble Model Based on Self-Organizing Map Network”, Computational Intelligence and Neuroscience, vol. 2020, Article ID 2971565, 11 pages, 2020.
[2020] Mo Lingfei, Hu Shuming, “Neighborhood Fusion-Based Hierarchical Parallel Feature Pyramid Network for Object Detection”, Journal of Southeast University (English Edition)
[2020] C. Suo, Z. Liu, L. Mo and Y. Liu, “LPD-AE: Latent Space Representation of Large-Scale 3D Point Cloud,” IEEE Access, vol. 8, pp. 108402-108417, 2020
[2020] Guan, Xuchen, and Lingfei Mo*. “Unsupervised Conditional Reflex Learning Based on Convolutional Spiking Neural Network and Reward Modulation.”IEEE Access (2020): 1-1.
[2019] Lingfei Mo*, Lujie Zeng, Running gait pattern recognition based on cross-correlation analysis of single acceleration sensor, Mathematical Biosciences and Engineering, 2019, 16(6): 6242-6256.
[2019] Chengyang Li, Lingfei Mo*, Dongkai Zhang, Review on UHF RFID Localization Methods, Journal of Radio Frequency Identification, 2019.2924346.
[2019] Lingfei Mo*, Lujie Zeng, Shaopeng Liu, Robert X Gao, Multi-sensor Activity Monitoring: Combination of Models with Class-specific Voting Weights, Information, Article ID 478283, 2019.
[2019] Y. Qin, L. Mo* , C. Li , et al. Skeleton-based action recognition by part-aware graph convolutional networks[J]. The Visual Computer, 2019(3).
[2019] Lingfei Mo*, Chenyang Li, “Double Loop Inductive Feed Patch Antenna Design for Anti-metal UHF RFID Tag,” International Journal of Antennas and Propagation, vol. 2019, Article ID 2917619, 2019.
[2019] 侯鑫鑫, 莫凌飞, 严如强. 基于图像检测与分类级联模型的车辆刮痕识别[J]. 工业控制计算机, 2019(3).
[2018] Lingfei, Mo*, and Chenyang Li. “Passive UHF-RFID Localization Based on the Similarity Measurement of Virtual Reference Tags.” IEEE Transactions on Instrumentation and Measurement (2018).
[2018] Lingfei Mo*, Chenyang Li, Hualin Huang, and Yaxuan Dong，A Study of Walking Speed Measurement for Elderly Health Assessment Using Ultrahigh-frequency Radio-frequency Identification Tags，Sensors and Materials, Vol. 30, No. 5 (2018) 1039–1051
[2018] 陶红兴，莫凌飞，严如强，基于车载传感信息融合的电动汽车驾驶行为辨识[J]，传感技术学报, 2018年第31卷第3期，355-362页.
[2018] 莫凌飞*，蒋红亮，基于深度学习的视频预测研究综述, 《智能系统学报》，2018年第13卷第1期，85-96页.
[2017] Yang Qin, Lingfei Mo*, Benyi Xie，Feature Fusion for Human Action Recognition based on Classical Descriptors and 3D convolutional networks，Sensing Technology (ICST), 2017 11th International Conference on. IEEE, 2017.
[2017] Lingfei Mo,* Xu Lu, Zengtao Feng, and Wenqi Hua，Online Human Daily Activity Recognition with Rechargeable Wearable Sensors，Sensors and Materials, Vol. 29, No. 9 (2017) 1353–1365.
[2017] 秦阳，莫凌飞*，郭文科，李钒, 3DCNNs与LSTMs在行为识别中的组合及其应用, 《测控技术》，2017年第36 卷第2 期, 28-32页.
[2016] 刘昌鑫，张仕超，肖贻杰，莫凌飞*，基于机器视觉的人体动作目标检测，《工业控制计算机》2016 年第29 卷第10 期，109-111页.
[2016] Mo, Lingfei, Chenyang Li, and Xiujuan Xie. “Localization of passive UHF RFID tags on the assembly line.” Flexible Automation (ISFA), International Symposium on. IEEE, 2016.
[2016] Yang Qin, Lingfei Mo*, Jing Ye, Zhening Du，“Multi-channel Features Fitted 3D CNNs and LSTMs for Human Activity Recognition”, Sensing Technology (ICST), 2016 10th International Conference on. IEEE, 2016.
[2016] Mo, Lingfei, Zengtao Feng, and Jingyi Qian. “Human daily activity recognition with wearable sensors based on incremental learning.” Sensing Technology (ICST), 2016 10th International Conference on. IEEE, 2016.
[2016] Tao, Hongxing, Lingfei Mo, Fei Shen, Zhening Du, and Ruqiang Yan. “Multi-classifiers ensemble with confidence diversity for fault diagnosis in induction motors.” In Sensing Technology (ICST), 2016 10th International Conference on, pp. 1-5. IEEE, 2016.
[2016] Jiang, Hongliang, Lingfei Mo, Xun, Xiaofang，Idle construction land prediction with gradient boosting machine，PIC 2016 – Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing， 2016.
[2016] Xun, Xiaofang, Lingfei Mo, Prediction of the Unused Land for Construction Based on Multi-classifier Fusion (暂未收录).
[2016] Xun, Xiaofang, Lingfei Mo, and Yan Yu. “Discovery and prediction of the unused land for construction based on random forest.” Agro-Geoinformatics (Agro-Geoinformatics), 2016 Fifth International Conference on. IEEE, 2016.
[2016] Li, Chenyang, Lingfei Mo, and XiuJuan Xie. “Localization of passive UHF RFID tags on assembly line based on phase difference.” Instrumentation and Measurement Technology Conference Proceedings (I2MTC), 2016 IEEE International. IEEE, 2016.
[2016] Mo, Lingfei, et al. “Human physical activity recognition based on computer vision with deep learning model.” Instrumentation and Measurement Technology Conference Proceedings (I2MTC), 2016 IEEE International. IEEE, 2016.
[2015] Feng, Zengtao, Lingfei Mo, and Meng Li. “Analysis of low energy consumption wireless sensor with BLE.” SENSORS, 2015 IEEE. IEEE, 2015.[2016] Mo, Lingfei, et al. “Human physical activity recognition based on computer vision with deep learning model.” Instrumentation and Measurement Technology Conference Proceedings (I2MTC), 2016 IEEE International. IEEE, 2016.
[2015] Feng, Zengtao ，Mo, Lingfei ，Li, Meng，A Random Forest-based ensemble method for activity recognition，37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015，5074-5077.
[2015] Huang, Hua-Lin ，Mo, Ling-Fei ，Liu, Ying-Jie，Li, Cheng-Yang，Xu, Qi-Meng，Wu, Zhi-Tong，Preliminary exploration of the measurement of walking speed for the apoplectic people based on UHF RFID，37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015，8038-8041.
[2013] C. Qin, L. Mo, H. Zhou, H. Zhang, “Dual-Dipole UHF RFID Tag Antenna with Quasi-Isotropic Patterns Based on Four-Axis Reflection Symmetry, ” International Journal of Antennas and Propagation, vol. 2013, Article ID 194145, 2013.
[2013] L. Mo, S. Liu, R. Gao, P.S. Freedson, “Energy-efficient and data synchronized body sensor network for physical activity measurement,” Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE, pp.1120-1124, 2013
[2013] S. Liu, R. Gao, L. Mo, P. Freedson, “Wearable Sensing for Physical Activity Measurement: Design and Performance Evaluation, ” Mechatronic Systems, pp.53-60, 2013.
[2012] L. Mo, S. Liu, R. Gao and P. S. Freeson, ” Wireless Design of a Multi-Sensor System for Physical Activity Monitoring,” IEEE Transactions on Biomedical Engineering,Vol.59,pp.3230-3237,2012.
[2012] L. Mo, S. Liu, R. Gao and P. S. Freeson, “Multi-Sensor Ensemble Classifier for Activity Recognition,” A Journal of Software Engineering and Applications,Vol.5, pp.113-116,2012.
[2012] D. Liu, J. Zhou, L. Mo, S. Liu, R. Gao and P. S. Freeson, ” Applications of internet of things in food and agri-food areas,” Transactions of the Chinese Society of Agricultural Machinery,Vol.43, pp.146-152,2012.
[2012] L. Mo, C. Qin, “Tunable Compact UHF RFID anti-metal tag based on CPW open stub feed PIFA antenna,” International Journal of Antennas and Propagation, vol. 2012, Article ID 167658, 2012.
[2012] L. Tao, L. Mo, S. Liu, R. Gao, “Optimal battery charge and discharge control scheme under solar power inflow,” Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE, 2012, pp.849-854.
[2011] Q. Sun, H. Zhang, and L. Mo, “Dual reader wireless protocols for dense active RFID identification,” International Journal of Communication Systems, Vol.24, pp.1431-1444, 2011.
[2011] C. Qin, L. Mo, H. Zhou and H. Zhang, “A single port dipole for UHF RFID tag antennas with eliminated read-orientation sensitivity,” Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on, pp.998-1001, 2011.
[2011] L. Mo, S. Liu, R. X. Gao, D. John, J. Staudenmayer, and P. Freedson, “ZigBee-Based Wireless Multi-Sensor System for Physical Activity Assessment,” in Proc. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, USA, 2011, pp. 846-849.
[2011] J. Zhou, H. Zhang, and L. Mo, “Two-dimension localization of passive RFID tags using AOA estimation,” Instrumentation and Measurement Technology Conference (I2MTC), 2011 IEEE, 2011, pp. 1-5.
[2010] L. Mo and C. F. Qin, “Planar UHF RFID Tag Antenna With Open Stub Feed for Metallic Objects,” IEEE Transactions on Antennas and Propagation, vol. 58, pp. 3037-3043, 2010.
[2010] Q. Sun, H. Zhang and L. Mo, “Master-slave dual readers enhanced aloha anti-collision mechanism for dense active RFID,” Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE, 2010, pp. 1414-1417.
[2010] L. Mo, C. Qin, and X. Tang, “Velocity analysis for UHF RFID vehicle license plate,” Optoelectronics and Image Processing (ICOIP), 2010 International Conference on, 2010, pp. 722-725.
[2009] L. Mo, H. J. Zhang, and H. L. Zhou, “Analysis of dipole-like ultra high frequency RFID tags close to metallic surfaces,” Journal of Zhejiang University-Science A, vol. 10, pp. 1217-1222, 2009.
[2008] L. Mo, H. Zhang, and H. Zhou, “Broadband UHF RFID tag antenna with a pair of U slots mountable on metallic objects,” Electronics Letters, vol. 44, pp. 1173-1174, 2008.
[2007] L. Mo and H. Zhang, “RFID antenna near the surface of metal,” in Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2007 International Symposium on, 2007, pp. 803-806.
专利发明
莫凌飞 ; 李晨阳 ;一种双环感应馈电结构平面抗金属标签天线，发明专利，授权，专利号：ZL201410128213.2，授权日期：2016年04月13日
莫凌飞；黄华林 ; 刘英杰 ; 许奇梦 ; 吴之桐 ; 一种基于超高频射频识别标签的速度测量系统和测量方法，发明专利，授权，专利号：ZL201510164827.0，授权时间：2017年07月18日
莫凌飞 ; 刘英杰 ; 黄华林 ; 许奇梦 ;一种医疗机构智能管理系统及管理方法，发明专利，授权，专利号：ZL 201510402461.6，授权日期：2018年09月21日
孙磊; 秦阳; 莫凌飞 ; 杜喆宁 ; 姚昕宇 ; 齐恒 ; 冯增涛 ; 一种基于tesseract引擎的文字识别方法及装置，发明专利，授权，专利号：ZL201610143955.1, 授权日期2019年02月05日
李潍 ; 莫凌飞 ; 许强 ; 张翔宇 ; 李建清 ; 一种高可靠性智能路口交通控制系统及控制方法，发明专利，授权，申请号 : CN201710142225.4，公开（公告）号 : CN106710253A
莫凌飞，蒋红亮，侯鑫鑫，基于深度学习的汽车碰撞检测方法及系统，发明专利，专利授权，申请号201710904968.0，授权日期20200331