A multi-label classification algorithm based on kernel extreme learning machine. - Fangfang Luo; Wenzhong Guo; Yuanlong Yu; Guolong Chen (Neurocomputing, 2017)

Addressing Imbalance in Weakly Supervised Multi-Label Learning. - Fangfang Luo; Wenzhong Guo; Guolong Chen (IEEE Access, 2019)

Newton's method for the positive solution of the coupled algebraic Riccati equation applied to automatic control. - Jianzhou Liu; Juan Zhang; Fangfang Luo (Comput. Appl. Math., 2020)

ML-KELM: A Kernel Extreme Learning Machine Scheme for Multi-Label Classification of Real Time Data Stream in SIoT. - Fangfang Luo; Genggeng Liu; Wenzhong Guo; Guolong Chen; Naixue Xiong (IEEE Trans. Netw. Sci. Eng., 2022)

A class of fixed point iteration for the coupled algebraic Riccati equation. - Juan Zhang; Jianzhou Liu; Fangfang Luo (J. Appl. Math. Comput., 2022)

Basis for Accurate Protein pKa Prediction with Machine Learning. - Zhitao Cai; Tengzi Liu; Qiaoling Lin; Jiahao He; Xiaowei Lei; Fangfang Luo; Yandong Huang (J. Chem. Inf. Model., 2023)

DeepKa Web Server: High-Throughput Protein pKa Prediction. - Zhitao Cai; Hao Peng; Shuo Sun; Jiahao He; Fangfang Luo; Yandong Huang (J. Chem. Inf. Model., 2024)

Integration of Hollow Microneedle Arrays with Jellyfish-Shaped Electrochemical Sensor for the Detection of Biomarkers in Interstitial Fluid. - Fangfang Luo; Zhan-Hong Li; Yiping Shi; Wen Sun; Yuwei Wang; Jianchao Sun; Zheyuan Fan; Yanyi Chang; Zifeng Wang 013; Yutong Han; Zhigang Zhu 003; Jean-Louis Marty (Sensors, 2024)