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2020 – today
- 2025
[j15]Jianming Zhu
, Ye Xing, Runzhi Li, Smita Ghosh, Priyanshi Garg, Weili Wu:
Efficient algorithm for stochastic rumor blocking problem in social networks during safety accident period. Theor. Comput. Sci. 1023: 114898 (2025)- 2024
- [j14]Yuxing Li, Zhizheng Zhuo, Chenghao Liu, Yunyun Duan, Yulu Shi, Tingting Wang, Runzhi Li, Yanli Wang, Jiwei Jiang, Jun Xu, Decai Tian, Xinghu Zhang, Fudong Shi, Xiaofeng Zhang, Aaron Carass, Frederik Barkhof, Jerry L. Prince, Chuyang Ye, Yaou Liu:
Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging. NeuroImage 300: 120858 (2024) - [j13]Yuanyuan Liang, Gongjian Wen, Dengsanlang Luo, Runzhi Li, Boyun Li:
Ziv-Zakai Bound for Target Parameter Estimation in Distributed MIMO Radar Systems. IEEE Trans. Aerosp. Electron. Syst. 60(5): 7393-7410 (2024) - [j12]Runzhi Li, Jianming Zhu, Guoqing Wang:
Influence maximization under equilibrious groups in social networks. J. Supercomput. 80(15): 22190-22212 (2024) - [i2]Zhe Sun, Runzhi Li, Jing Wang, Gang Chen, Siyu Yan, Lihong Ma:
Static and multivariate-temporal attentive fusion transformer for readmission risk prediction. CoRR abs/2407.11096 (2024) - [i1]Xiaoqing Zhang, Qiushi Nie, Zunjie Xiao, Jilu Zhao, Xiao Wu, Pengxin Guo, Runzhi Li, Jin Liu, Yanjie Wei, Yi Pan:
Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration. CoRR abs/2408.02906 (2024) - 2023
- [j11]Jing Wang, Shuo Zhang, Runzhi Li, Gang Chen, Siyu Yan, Lihong Ma:
Multi-view feature representation and fusion for drug-drug interactions prediction. BMC Bioinform. 24(1): 93 (2023) - [c12]Jiahao Song, Runzhi Li, Zijiao Zhang:
A Multi-modality Feature Fusion Method for Android Malware Detection. AAIA 2023: 380-384 - [c11]Jianming Zhu, Runzhi Li, Smita Ghosh, Weili Wu:
Stochastic Model for Rumor Blocking Problem in Social Networks Under Rumor Source Uncertainty. COCOON (2) 2023: 329-339 - [c10]Runze Du, Runzhi Li, Zijiao Zhang:
Ensemble Two Stage Machine Learning for Network Abnormal Detection. ICMLC 2023: 97-102 - 2022
- [j10]Shuo Zhang, Jing Wang, Lulu Pei, Kai Liu, Yuan Gao, Hui Fang, Rui Zhang, Lu Zhao, Shilei Sun, Jun Wu, Bo Song, Honghua Dai, Runzhi Li, Yuming Xu:
Interpretable CNN for ischemic stroke subtype classification with active model adaptation. BMC Medical Informatics Decis. Mak. 22(1): 3 (2022) - [j9]Shuo Zhang, Jing Wang, Lulu Pei, Kai Liu, Yuan Gao, Hui Fang, Rui Zhang, Lu Zhao, Shilei Sun, Jun Wu, Bo Song, Honghua Dai, Runzhi Li, Yuming Xu:
Interpretability Analysis of One-Year Mortality Prediction for Stroke Patients Based on Deep Neural Network. IEEE J. Biomed. Health Informatics 26(4): 1903-1910 (2022) - [c9]Hao Gao, Runzhi Li, Jing Wang, Hongling Zhao, Siyu Yan, Lihong Ma:
Research on Bidirectional Recurrent Imputation of Multivariate Time Series for Clinical Outcomes Prediction. BIBM 2022: 954-960 - [c8]Duzhuang Wang, Runzhi Li, Jing Wang, Zhanbo Li:
Chinese Drug Information Named Entity Recognition Based on MSCNN And BERT-BiLSTM-CRF. CCRIS 2022: 149-154 - 2021
- [c7]Yonghao Ren, Shuo Zhang, Jing Wang, Runzhi Li:
TSC-MI: A Temporal Spatial Convolution Neural Network Fused with Mutual Information for Motor Imagery Based EEG Classification. BI 2021: 474-485 - [c6]Yingpei Ma, Jing Wang, Yonghao Ren, Shuo Zhang, Runzhi Li:
A Multi-granularity Fusion Neural Network Model for Medical Question Classification. CCIS 2021: 487-492 - 2020
- [j8]Guangxin Zhou, Runzhi Li, Shuo Zhang, Jing Wang, Jingzhe Ma:
Multimodal Sleep Signals-Based Automated Sleep Arousal Detection. IEEE Access 8: 106157-106164 (2020) - [j7]Pengpeng Yang, Jing Wang, Hongling Zhao, Runzhi Li:
MLP With Riemannian Covariance for Motor Imagery Based EEG Analysis. IEEE Access 8: 139974-139982 (2020) - [j6]Jingzhe Ma, Shaobo Duan, Ye Zhang, Jing Wang, Zongmin Wang, Runzhi Li, Yongli Li, Lianzhong Zhang, Huimin Ma:
Efficient Deep Learning Architecture for Detection and Recognition of Thyroid Nodules. Comput. Intell. Neurosci. 2020: 1242781:1-1242781:15 (2020) - [j5]Runzhi Li, Jian Wang, Jiongyi Chen:
Movable Platform-Based Topology Detection for a Geographic Routing Wireless Sensor Network. Sensors 20(13): 3726 (2020) - [c5]Xueli Duan, Shaobo Duan, Pei Jiang, Runzhi Li, Ye Zhang, Jingzhe Ma, Hongling Zhao, Honghua Dai:
An Ensemble Deep Learning Architecture for Multilabel Classification on TI-RADS. BIBM 2020: 576-582
2010 – 2019
- 2017
- [j4]Li Zhang, Baoling Liu, Gewen Zheng, Aiying Zhang, Runzhi Li:
Genome-wide characterization of the SiDof gene family in foxtail millet (Setaria italica). Biosyst. 151: 27-33 (2017) - [j3]Andrew S. Maxwell, Runzhi Li, Bei Yang, Heng Weng, Aihua Ou, Huixiao Hong, Zhaoxian Zhou, Ping Gong, Chaoyang Zhang:
Deep learning architectures for multi-label classification of intelligent health risk prediction. BMC Bioinform. 18(14): 121-131 (2017) - 2016
- [c4]Runzhi Li, Hongling Zhao, Yusong Lin, Andrew S. Maxwell, Chaoyang Zhang:
Multi-label classification for intelligent health risk prediction. BIBM 2016: 986-993 - 2011
- [j2]Chunyi Guo, Runzhi Li, Ming Fan, Kejun Liu:
Neighboring Digits Pattern Training Method in Quickly-spoken Connected Mandarin Digits Speech Recognition. J. Multim. 6(3): 300-307 (2011) - 2010
- [c3]Xukang Lu, Qishi Wu, Runzhi Li, Yunyue Lin:
On Tree Construction of Super Peers for Hybrid P2P Live Media Streaming. ICCCN 2010: 1-6 - [c2]Xukang Lu, Qishi Wu, Yunyue Lin, Runzhi Li:
On a decentralized approach to tree construction in hybrid P2P networks. LCN 2010: 112-119 - [c1]Runzhi Li, Qishi Wu, Yunyue Lin, Xukang Lu, Zongmin Wang:
On topology construction in layered P2P live streaming networks. NOMS 2010: 599-606
2000 – 2009
- 2009
- [j1]Runzhi Li, Chunyi Guo, Ming Fan, Zongmin Wang:
AHLSS: A Hierarchical, Adaptive, Extendable P2P Live Streaming System. Int. J. Distributed Sens. Networks 5(1): 8 (2009)
Coauthor Index
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