Runxin Li

According to our database, Runxin Li authored at least 22 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Coronal Loop Automatic Detection Method.

Zhenhong Shang, Ziqi He, Runxin Li

Symmetry, June, 2024

Semi-supervised multi-label dimensionality reduction learning based on minimizing redundant correlation of specific and common features.

Runxin Li, Gaozhi Zhou, Xiaowu Li, Lianyin Jia, Zhenhong Shang

Knowl. Based Syst., 2024

Salient object detection based on hierarchical segmentation and objectness-guided.

Jinxia Shang, Runxin Li, Yun Liu

Adv. Math. Commun., 2024

Multi-label feature selection based on minimizing feature redundancy of mutual information.

Gaozhi Zhou, Runxin Li, Zhenhong Shang, Xiaowu Li, Lianyin Jia

Neurocomputing, 2024

A Method to Enhance Tag Identification Efficiency Based on Tail Code Optimization Feature Sets.

Xiaowu Li, Wei Cui, Runxin Li, Lianyin Jia, Jinguo You

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024

DCNet: A lightweight retinal vessel segmentation network.

Zhenhong Shang, Chunhui Yu, Hua Huang, Runxin Li

Digit. Signal Process., 2024

Learning Common and Label-Specific Features for Multi-Label Classification With Missing Labels.

Runxin Li, Zexian Ouyang, Zhenhong Shang, Lianyin Jia, Xiaowu Li

IEEE Access, 2024

2023

Semi-supervised multi-label learning with missing labels by exploiting feature-label correlations.

Runxin Li, Xuefeng Zhao, Zhenhong Shang, Lianyin Jia

Stat. Anal. Data Min., April, 2023

Multilabel Classifier Chains Algorithm Based on Maximum Spanning Tree and Directed Acyclic Graph.

Wenbiao Zhao, Runxin Li, Zhenhong Shang

Int. J. Inf. Technol. Syst. Approach, 2023

Diversity Multi-View Clustering With Subspace and NMF-Based Manifold Learning.

Jiaman Ding, Xiaojiang Fang, Lianyin Jia, Ying Jiang, Runxin Li

IEEE Access, 2023

2022

An improved deep forest classification algorithm.

Jiaman Ding, Cuihua Liu, Runxin Li, Jinguo You, Lianyin Jia

Int. J. Model. Identif. Control., 2022

Bagging method-based classifier chains for multi-label classification.

Jiaman Ding, Haotian Tan, Runxin Li, Yuanyuan Wang, Lianyin Jia

Int. J. Comput. Sci. Math., 2022

Association Rules-Based Classifier Chains Method.

Jiaman Ding, Zhou Shujie, Runxin Li, Xiaodong Fu, Lianyin Jia

IEEE Access, 2022

2021

Suffix-based double reader tag movement RFID anti-collision method.

Haochen Lv, Xiaowu Li, Lianyin Jia, Runxin Li, Jiaman Ding, Jinguo You

J. Cloud Comput., 2021

A novel protocol of RFID tag identification using a single mobile reader.

Xiaowu Li, Runxin Li, Lianyin Jia, Jiaman Ding, Jinguo You, Hongbo Fan

Int. J. Inf. Commun. Technol., 2021

2020

A Short Text Classification Method Based on Combining Label Information and Self-attention Graph Convolutional Neural Network.

Hongbin Wang, Gaorong Luo, Runxin Li

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2020

2014

Lagrange Multiplier Rules for Weak Approximate Pareto Solutions of Constrained Vector Optimization Problems in Hilbert Spaces.

Xi Yin Zheng, Runxin Li

J. Optim. Theory Appl., 2014

2012

Optimized feature extraction by immune clonal selection algorithm.

Xiangrong Zhang, Erlei Zhang, Runxin Li

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2010

Speaker identification with distant microphone speech.

Qin Jin, Runxin Li, Qian Yang, Kornel Laskowski, Tanja Schultz

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Improving speaker segmentation via speaker identification and text segmentation.

Runxin Li, Tanja Schultz, Qin Jin

Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

2008

Text Segmentation with LDA-Based Fisher Kernel.

Qi Sun, Runxin Li, Dingsheng Luo, Xihong Wu

Proceedings of the ACL 2008, 2008

2007

Refine bigram PLSA model by assigning latent topics unevenly.

Jiazhong Nie, Runxin Li, Dingsheng Luo, Xihong Wu

Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007