Runzhi Li

发表

An Ensemble Deep Learning Architecture for Multilabel Classification on TI-RADS

Xueli Duan, Shaobo Duan, Pei Jiang, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

MLP With Riemannian Covariance for Motor Imagery Based EEG Analysis

Runzhi Li, Hongling Zhao, Jing Wang, 2020, IEEE Access.

Cardiovascular Disease Risk Prediction Based on Random Forest

Runzhi Li, Bing Zhou, Shuhong Wang, 2018, Proceedings of the 2nd International Conference on Healthcare Science and Engineering.

On a decentralized approach to tree construction in hybrid P2P networks

Chase Qishi Wu, Runzhi Li, Yunyue Lin, 2010, LCN.

Research on voice activity detection in burst and partial duration noisy environment

Runzhi Li, Chunyi Guo, Ming Fan, 2012, 2012 International Conference on Audio, Language and Image Processing.

Efficient Detection of Phishing Attacks with Hybrid Neural Networks

Runzhi Li, Wei Liu, Hongpo Zhang, 2018, 2018 IEEE 18th International Conference on Communication Technology (ICCT).

Leveraging Multiactions to Improve Medical Personalized Ranking for Collaborative Filtering

Shan Gao, Runzhi Li, Zongmin Wang, 2017, Journal of healthcare engineering.

Neighboring Digits Pattern Training Method in Quickly-spoken Connected Mandarin Digits Speech Recognition

Runzhi Li, Ming Fan, Chunyi Guo, 2011, J. Multim..

An Ensemble Multilabel Classification for Disease Risk Prediction

Chaoyang Zhang, Wei Liu, Runzhi Li, 2017, Journal of healthcare engineering.

Efficient Deep Learning Architecture for Detection and Recognition of Thyroid Nodules

Shaobo Duan, Runzhi Li, Ye Zhang, 2020, Comput. Intell. Neurosci..

AHLSS: A Hierarchical, Adaptive, Extendable P2P Live Streaming System

Runzhi Li, Ming Fan, Chunyi Guo, 2009, Int. J. Distributed Sens. Networks.

Deep Convolutional Neural Networks for Electrocardiogram Classification

Runzhi Li, Bo Liu, Yusong Lin, 2018 .

Research on the application of biomimetic computing in speech recognition

Runzhi Li, Lei Shi, Chunyi Guo, 2008, 2008 International Conference on Audio, Language and Image Processing.

A deep transfer learning approach to fine-tuning facial recognition models

Chaoyang Zhang, Yuanyuan Zhang, Runzhi Li, 2018, 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA).

Multimodal Sleep Signals-Based Automated Sleep Arousal Detection

Runzhi Li, Jingzhe Ma, Jing Wang, 2020, IEEE Access.

ECG Beat Classification Based on Deep Bidirectional Long Short-Term Memory Recurrent Neural Network

Gang Chen, Runzhi Li, Bing Zhou, 2018, Proceedings of the 2nd International Conference on Healthcare Science and Engineering.

On topology construction in layered P2P live streaming networks

Chase Qishi Wu, Runzhi Li, Zongmin Wang, 2010, 2010 IEEE Network Operations and Management Symposium - NOMS 2010.

A Novel Deep Neural Network Model for Multi-Label Chronic Disease Prediction

Xiaoqing Zhang, Runzhi Li, Hongling Zhao, 2019, Front. Genet..

On Tree Construction of Super Peers for Hybrid P2P Live Media Streaming

Chase Qishi Wu, Runzhi Li, Yunyue Lin, 2010, 2010 Proceedings of 19th International Conference on Computer Communications and Networks.

BSLstream: A Biased Skip List index Scheme for P2P VoD with VCR Support

Runzhi Li, Hongfang Guo, Zongmin Wang, 2011, 2011 International Conference on Multimedia and Signal Processing.

Multi-label classification for intelligent health risk prediction

Chaoyang Zhang, Runzhi Li, Hongling Zhao, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Deep learning architectures for multi-label classification of intelligent health risk prediction

Chaoyang Zhang, Heng Weng, Runzhi Li, 2017, BMC Bioinformatics.

A Lightweight Neural Network to Detect Arrhythmias

Runzhi Li, Hongling Zhao, Wei Liu, 2018, Proceedings of the 2nd International Conference on Healthcare Science and Engineering.

Genome-wide characterization of the SiDof gene family in foxtail millet (Setaria italica)

Li Zhang, Runzhi Li, Baoling Liu, 2017, Biosyst..

A P2P streaming media data transmission strategy based on incentive mechanism

Runzhi Li, Bing Zhou, Yaping Wu, 2011, 2011 International Conference on Computer Science and Service System (CSSS).

TSC-MI: A Temporal Spatial Convolution Neural Network Fused with Mutual Information for Motor Imagery Based EEG Classification

Runzhi Li, Jing Wang, Yonghao Ren, 2021, BI.