A Confidence-Guided Anomaly Detection Approach Jointly Using Multiple Machine Learning Algorithms. - Xueshuo Xie; Zongming Jin; Qingqi Han; Shenwei Huang; Tao Li 022 (CSS (2), 2019)

Feature relevance and redundancy coefficients for multi-view multi-label feature selection. - Qingqi Han; Liang Hu 001; Wanfu Gao (Inf. Sci., 2024)

Enhanced multi-label feature selection considering label-specific relevant information. - Qingqi Han; Zhanpeng Zhao; Liang Hu 001; Wanfu Gao (Expert Syst. Appl., 2025)

Integrating label confidence-based feature selection for partial multi-label learning. - Qingqi Han; Liang Hu 001; Wanfu Gao (Pattern Recognit., 2025)

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method. - Wanfu Gao; Jun Gao; Qingqi Han; Hanlin Pan; Kunpeng Liu 001 (CoRR, 2025)

Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning. - Wanfu Gao; Hanlin Pan; Qingqi Han; Kunpeng Liu 001 (CoRR, 2025)

A Small-Diameter PMUT-Based Ultrasonic Gas Flowmeter for Internet of Things. - Long Zhang; Minkan Chen; Zhiyuan Hou; Jin Zhang; Qingqi Han; Liang Lou (IEEE Internet Things J., 2025)