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2020 – today
- 2024
[j12]Lin Wan
, Zhiquan Liu, Yong Ma, Yudan Cheng, Yongdong Wu, Runchuan Li, Jianfeng Ma:
Lightweight and Privacy-Preserving Dual Incentives for Mobile Crowdsensing. IEEE Trans. Cloud Comput. 12(2): 504-521 (2024)- [j11]Runchuan Li, Zhiquan Liu, Yong Ma, Yunni Xia, Yudan Cheng, Lin Wan, Jianfeng Ma:
RPPM: A Reputation-Based and Privacy-Preserving Platoon Management Scheme in Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 25(6): 6147-6160 (2024) - 2023
- [j10]Runchuan Li, Yuanlan Wen, Xiaolei Wang, Huaqing Xu:
Multi-GNSS Combination Multipath Reflectometry Based on IVMD Method for Sea Level Retrieval. Remote. Sens. 15(7): 1733 (2023) - [j9]Yudan Cheng, Jianfeng Ma, Zhiquan Liu, Zhetao Li, Yongdong Wu, Caiqin Dong, Runchuan Li:
A Privacy-Preserving and Reputation-Based Truth Discovery Framework in Mobile Crowdsensing. IEEE Trans. Dependable Secur. Comput. 20(6): 5293-5311 (2023) - 2021
- [j8]Xu Wang, Runchuan Li, Shuhong Wang, Shengya Shen, Wenzhi Zhang, Bing Zhou, Zongmin Wang:
Automatic diagnosis of ECG disease based on intelligent simulation modeling. Biomed. Signal Process. Control. 67: 102528 (2021) - [j7]Panle Li, Zhihui Tian, Xiaohui He, Mengjia Qiao, Xijie Cheng, Dingjun Song, Mingyang Chen, Jiamian Li, Tao Zhou, Xiaoyu Guo, Zhiqiang Li, Daidong Li, Zihao Ding, Runchuan Li:
LR-RoadNet: A long-range context-aware neural network for road extraction via high-resolution remote sensing images. IET Image Process. 15(13): 3239-3253 (2021) - [j6]Runchuan Li, Shuhong Chen, Jiawei Yang, Entao Luo:
Edge-Based Detection and Classification of Malicious Contents in Tor Darknet Using Machine Learning. Mob. Inf. Syst. 2021: 8072779:1-8072779:13 (2021) - [j5]Panle Li, Xiaohui He, Mengjia Qiao, Xijie Cheng, Zhiqiang Li, Haotian Luo, Dingjun Song, Daidong Li, Shaokai Hu, Runchuan Li, Pu Han, Fangbing Qiu, Hengliang Guo, Jiandong Shang, Zhihui Tian:
Robust Deep Neural Networks for Road Extraction From Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(7): 6182-6197 (2021) - [c1]Panle Li, Xiaohui He, Dingjun Song, Zihao Ding, Mengjia Qiao, Xijie Cheng, Runchuan Li:
Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels. PRCV (4) 2021: 78-89
2010 – 2019
- 2019
- [j4]Runchuan Li, Xingjin Zhang, Honghua Dai, Bing Zhou, Zongmin Wang:
Interpretability Analysis of Heartbeat Classification Based on Heartbeat Activity's Global Sequence Features and BiLSTM-Attention Neural Network. IEEE Access 7: 109870-109883 (2019) - [j3]Panle Li, Xiaohui He, Xijie Cheng, Xu Gao, Runchuan Li, Mengjia Qiao, Daidong Li, Fangbing Qiu, Zhiqiang Li:
Object Extraction From Very High-Resolution Images Using a Convolutional Neural Network Based on a Noisy Large-Scale Dataset. IEEE Access 7: 122784-122795 (2019) - [j2]Xingjin Zhang, Runchuan Li, Honghua Dai, Yongpeng Liu, Bing Zhou, Zongmin Wang:
Localization of Myocardial Infarction With Multi-Lead Bidirectional Gated Recurrent Unit Neural Network. IEEE Access 7: 161152-161166 (2019) - [j1]Bicao Li, Runchuan Li, Zhoufeng Liu, Chunlei Li, Zongmin Wang:
An Objective Non-Reference Metric Based on Arimoto Entropy for Assessing the Quality of Fused Images. Entropy 21(9): 879 (2019)
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