Refine bigram PLSA model by assigning latent topics unevenly. - Jiazhong Nie; Runxin Li; Dingsheng Luo; Xihong Wu (ASRU, 2007)

Text Segmentation with LDA-Based Fisher Kernel. - Qi Sun; Runxin Li; Dingsheng Luo; Xihong Wu (ACL (2), 2008)

Improving speaker segmentation via speaker identification and text segmentation. - Runxin Li; Tanja Schultz; Qin Jin (INTERSPEECH, 2009)

Speaker identification with distant microphone speech. - Qin Jin; Runxin Li; Qian Yang; Kornel Laskowski; Tanja Schultz (ICASSP, 2010)

Optimized feature extraction by immune clonal selection algorithm. - Xiangrong Zhang; Erlei Zhang; Runxin Li (IEEE Congress on Evolutionary Computation, 2012)

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)

A Short Text Classification Method Based on Combining Label Information and Self-attention Graph Convolutional Neural Network. - Hongbin Wang; Gaorong Luo; Runxin Li (ChineseCSCW, 2020)

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)

Suffix-based double reader tag movement RFID anti-collision method. - Haochen Lv 002; Xiaowu Li; Lianyin Jia; Runxin Li; Jiaman Ding; Jinguo You (J. Cloud Comput., 2021)

Association Rules-Based Classifier Chains Method. - Jiaman Ding; Zhou Shujie; Runxin Li; Xiaodong Fu; Lianyin Jia (IEEE Access, 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)

An improved deep forest classification algorithm. - Jiaman Ding; Cuihua Liu; Runxin Li; Jinguo You; Lianyin Jia (Int. J. Model. Identif. Control., 2022)

Diversity Multi-View Clustering With Subspace and NMF-Based Manifold Learning. - Jiaman Ding; Xiaojiang Fang; Lianyin Jia; Ying Jiang; Runxin Li (IEEE Access, 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)

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., 2023)

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)

DCNet: A lightweight retinal vessel segmentation network. - Zhenhong Shang; Chunhui Yu; Hua Huang; Runxin Li (Digit. Signal Process., 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)

Multi-label feature selection based on minimizing feature redundancy of mutual information. - Gaozhi Zhou; Runxin Li; Zhenhong Shang; Xiaowu Li; Lianyin Jia (Neurocomputing, 2024)

Salient object detection based on hierarchical segmentation and objectness-guided. - Jinxia Shang; Runxin Li; Yun Liu (Adv. Math. Commun., 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)

A Coronal Loop Automatic Detection Method. - Zhenhong Shang; Ziqi He; Runxin Li (Symmetry, 2024)

Semi-supervised multi-label feature selection combining nonlinear manifold structure and minimizing group sparse redundant correlation. - Runxin Li; Xiong Yang; Xiaowu Li; Guofeng Shu; Lianyin Jia; Zhenhong Shang (Expert Syst. Appl., 2025)