Runzhi Li

42 papers B 4Misc 1Journal 23Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
A novel memory interaction neural network for multi-label drug-drug interaction prediction with neighbor importance sampling.
Artif. Intell. Medicine
Jing Wang, Runzhi Li, Shuo Zhang, Yunli Xing, Siyu Yan, Lihong Ma
2025 J jnl
Adaptive Dual-Axis Style-Based Recalibration Network With Class-Wise Statistics Loss for Imbalanced Medical Image Classification.
IEEE Trans. Image Process.
Xiaoqing Zhang, Zunjie Xiao, Jingzhe Ma, Xiao Wu, Jilu Zhao, Shuai Zhang, Runzhi Li, Yi Pan, Jiang Liu
2025 B conf
CmEAA: Cross-modal Enhancement and Alignment Adapter for Radiology Report Generation.
COLING
Xiyang Huang, Yingjie Han, Yaoxu Li, Runzhi Li, Pengcheng Wu, Kunli Zhang
2025 — conf
Detection Method for Prompt Injection by Integrating Pre-trained Model and Heuristic Feature Engineering.
KSEM (6)
Yi Ji, Runzhi Li, Baolei Mao
2025 J jnl
Detection Method for Prompt Injection by Integrating Pre-trained Model and Heuristic Feature Engineering.
CoRR
Yi Ji, Runzhi Li, Baolei Mao
2025 J jnl
Efficient algorithm for stochastic rumor blocking problem in social networks during safety accident period.
Theor. Comput. Sci.
Jianming Zhu, Ye Xing, Runzhi Li, Smita Ghosh, Priyanshi Garg, Weili Wu
2025 — conf
Fault Tree Abductive Methodology for Accident Causation Analysis.
ICA3PP (6)
Ye Xing, Runzhi Li, Jianming Zhu, Peikun Ni
2025 J jnl
Information Equilibrium Maximization Problem in Social Networks Based on Entropy.
IEEE Trans. Netw. Sci. Eng.
Runzhi Li, Jianming Zhu, Guoqing Wang
2025 J jnl
The Joint Entity-Relation Extraction Model Based on Span and Interactive Fusion Representation for Chinese Medical Texts with Complex Semantics.
CoRR
Danni Feng, Runzhi Li, Jing Wang, Siyu Yan, Lihong Ma, Yunli Xing
2024 J jnl
Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging.
NeuroImage
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
2024 J jnl
Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration.
CoRR
Xiaoqing Zhang, Qiushi Nie, Zunjie Xiao, Jilu Zhao, Xiao Wu, Pengxin Guo, Runzhi Li, Jin Liu, Yanjie Wei, Yi Pan
2024 J jnl
Gate Feature Interaction Network for Relation Prediction in Knowledge Graph.
Data Intell.
Jing Wang, Shuo Zhang, Runzhi Li
2024 — conf
Improved genetic algorithm for readmission risk index optimization.
BCB
Shuo Feng, Zhe Sun, Runzhi Li, Siyu Yan, Lihong Ma
2024 J jnl
Influence maximization under equilibrious groups in social networks.
J. Supercomput.
Runzhi Li, Jianming Zhu, Guoqing Wang
2024 — conf
Multi-granularity Semantic Guided Transformer for Radiology Report Generation.
NLPCC (3)
Yu Song, Xiaojin Hua, Kunli Zhang, Hongying Zan, Runzhi Li
2024 — conf
PIMGAN: Prior-induced Masked GAN for Myocardial Infarction Anomaly Detection.
ISAIMS
Jijia Chen, Liwei Zhou, Xunhua Huang, Runzhi Li, Zongmin Wang, Haoyi Fan
2024 — conf
Static and multivariate-temporal attentive fusion transformer for readmission risk prediction of ICU patients.
BCB
Runzhi Li, Zhe Sun, Jing Wang, Gang Chen, Siyu Yan, Lihong Ma
2024 J jnl
Static and multivariate-temporal attentive fusion transformer for readmission risk prediction.
CoRR
Zhe Sun, Runzhi Li, Jing Wang, Gang Chen, Siyu Yan, Lihong Ma
2024 J jnl
Ziv-Zakai Bound for Target Parameter Estimation in Distributed MIMO Radar Systems.
IEEE Trans. Aerosp. Electron. Syst.
Yuanyuan Liang, Gongjian Wen, Dengsanlang Luo, Runzhi Li, Boyun Li
2023 — conf
A Multi-modality Feature Fusion Method for Android Malware Detection.
AAIA
Jiahao Song, Runzhi Li, Zijiao Zhang
2023 Misc conf
Ensemble Two Stage Machine Learning for Network Abnormal Detection.
ICMLC
Runze Du, Runzhi Li, Zijiao Zhang
2023 J jnl
Multi-view feature representation and fusion for drug-drug interactions prediction.
BMC Bioinform.
Jing Wang, Shuo Zhang, Runzhi Li, Gang Chen, Siyu Yan, Lihong Ma
2023 — conf
Stochastic Model for Rumor Blocking Problem in Social Networks Under Rumor Source Uncertainty.
COCOON (2)
Jianming Zhu, Runzhi Li, Smita Ghosh, Weili Wu
2022 — conf
Chinese Drug Information Named Entity Recognition Based on MSCNN And BERT-BiLSTM-CRF.
CCRIS
Duzhuang Wang, Runzhi Li, Jing Wang, Zhanbo Li
2022 J jnl
Interpretability Analysis of One-Year Mortality Prediction for Stroke Patients Based on Deep Neural Network.
IEEE J. Biomed. Health Informatics
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
2022 J jnl
Interpretable CNN for ischemic stroke subtype classification with active model adaptation.
BMC Medical Informatics Decis. Mak.
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
2022 — conf
Research on Bidirectional Recurrent Imputation of Multivariate Time Series for Clinical Outcomes Prediction.
BIBM
Hao Gao, Runzhi Li, Jing Wang, Hongling Zhao, Siyu Yan, Lihong Ma
2021 — conf
A Multi-granularity Fusion Neural Network Model for Medical Question Classification.
CCIS
Yingpei Ma, Jing Wang, Yonghao Ren, Shuo Zhang, Runzhi Li
2021 — conf
TSC-MI: A Temporal Spatial Convolution Neural Network Fused with Mutual Information for Motor Imagery Based EEG Classification.
BI
Yonghao Ren, Shuo Zhang, Jing Wang, Runzhi Li
2020 — conf
An Ensemble Deep Learning Architecture for Multilabel Classification on TI-RADS.
BIBM
Xueli Duan, Shaobo Duan, Pei Jiang, Runzhi Li, Ye Zhang, Jingzhe Ma, Hongling Zhao, Honghua Dai
2020 J jnl
Efficient Deep Learning Architecture for Detection and Recognition of Thyroid Nodules.
Comput. Intell. Neurosci.
Jingzhe Ma, Shaobo Duan, Ye Zhang, Jing Wang, Zongmin Wang, Runzhi Li, Yongli Li, Lianzhong Zhang, Huimin Ma
2020 J jnl
MLP With Riemannian Covariance for Motor Imagery Based EEG Analysis.
IEEE Access
Pengpeng Yang, Jing Wang, Hongling Zhao, Runzhi Li
2020 J jnl
Movable Platform-Based Topology Detection for a Geographic Routing Wireless Sensor Network.
Sensors
Runzhi Li, Jian Wang, Jiongyi Chen
2020 J jnl
Multimodal Sleep Signals-Based Automated Sleep Arousal Detection.
IEEE Access
Guangxin Zhou, Runzhi Li, Shuo Zhang, Jing Wang, Jingzhe Ma
2017 J jnl
Deep learning architectures for multi-label classification of intelligent health risk prediction.
BMC Bioinform.
Andrew S. Maxwell, Runzhi Li, Bei Yang, Heng Weng, Aihua Ou, Huixiao Hong, Zhaoxian Zhou, Ping Gong, Chaoyang Zhang
2017 J jnl
Genome-wide characterization of the SiDof gene family in foxtail millet (Setaria italica).
Biosyst.
Li Zhang, Baoling Liu, Gewen Zheng, Aiying Zhang, Runzhi Li
2016 — conf
Multi-label classification for intelligent health risk prediction.
BIBM
Runzhi Li, Hongling Zhao, Yusong Lin, Andrew S. Maxwell, Chaoyang Zhang
2011 J jnl
Neighboring Digits Pattern Training Method in Quickly-spoken Connected Mandarin Digits Speech Recognition.
J. Multim.
Chunyi Guo, Runzhi Li, Ming Fan, Kejun Liu
2010 B conf
On Tree Construction of Super Peers for Hybrid P2P Live Media Streaming.
ICCCN
Xukang Lu, Qishi Wu, Runzhi Li, Yunyue Lin
2010 B conf
On a decentralized approach to tree construction in hybrid P2P networks.
LCN
Xukang Lu, Qishi Wu, Yunyue Lin, Runzhi Li
2010 B conf
On topology construction in layered P2P live streaming networks.
NOMS
Runzhi Li, Qishi Wu, Yunyue Lin, Xukang Lu, Zongmin Wang
2009 J jnl
AHLSS: A Hierarchical, Adaptive, Extendable P2P Live Streaming System.
Int. J. Distributed Sens. Networks
Runzhi Li, Chunyi Guo, Ming Fan, Zongmin Wang