Diagnosing Breast Cancer Based on Support Vector Machines. - Huanxiang Liu; Ruisheng Zhang; Feng Luan; Xiaojun Yao; Mancang Liu; Zhide Hu; Bo Tao Fan (J. Chem. Inf. Comput. Sci., 2003)

Prediction of standard Gibbs energies of the transfer of peptide anions from aqueous solution to nitrobenzene based on support vector machine and the heuristic method. - Feng Luan; Xiaoyun Zhang; Haixia Zhang; Ruisheng Zhang; Mancang Liu; Zhide Hu; Bo Tao Fan (J. Comput. Aided Mol. Des., 2006)

A Novel Algorithm for Fault Diagnosis of Analog Circuit with Tolerances Using Improved Binary-tree SVMs Based on SOMNN Clustering. - Anna Wang 001; Junfang Liu; Hua Li; Feng Luan; Wenjing Yuan (ICNC (1), 2007)

QSPR study for the prediction of UV maximum absorption wavelength of coumarins by heuristic method and radial basis function neural network. - Ping Han; Huitao Liu; Yingying Wen; Guangfen Mu; Yuan Gao; Feng Luan (ICNC, 2010)

A mathematical framework for modeling and analyzing migration time. - Feng Luan; Mads Nygård; Thomas Mestl (JCDL, 2010)

Quality Requirements of Migration Metadata in Long-Term Digital Preservation Systems. - Feng Luan; Thomas Mestl; Mads Nygård (MTSR, 2010)

Automated web service query service. - Manivasakan Sabesan; Tore Risch; Feng Luan (Int. J. Web Grid Serv., 2010)

A survey of digital preservation strategies. - Feng Luan; Mads Nygård; Thomas Mestl (World Digit. Libr., 2010)

MMET: A Migration Metadata Extraction Tool for Long-Term Preservation Systems. - Feng Luan; Mads Nygård (DICTAP (2), 2011)

QSPR Study on the prediction of ionization potential of various organic compounds by heuristic method and radial basis function neural network. - Lihua Tian; Huitao Liu; Feng Luan; Yuan Gao (ICNC, 2011)

Using a multi-criteria decision making approach to evaluate format migration solutions. - Feng Luan; Mads Nygård; Guttorm Sindre; Trond Aalberg (MEDES, 2011)

High-performance reflective liquid level sensor based on titled fiber Bragg grating inscribed in the thin-core fiber. - Bobo Gu; Wenliang Qi; Yanyan Zhou; Jie Zheng; Perry Ping Shum; Feng Luan (OFC, 2014)

A multimodal framework for integrating biological spectral characteristics and MEG/EEG in brain-source imaging. - Feng Luan; Zhiming Zhang; Tianqi Zhang (ICNC, 2015)

Improving the accuracy of beamforming method for moving acoustic source localization in far-field. - Qiqi Bao; Feng Luan; Jingxuan Yang (CISP-BMEI, 2017)

FPGA-Based Implementation of Stochastic Configuration Network for Robotic Grasping Recognition. - Jiaqi Pan; Feng Luan; Yunqi Gao; Yangjie Wei (IEEE Access, 2020)

FPGA-Based Implementation of Stochastic Configuration Networks for Regression Prediction. - Yunqi Gao; Feng Luan; Jiaqi Pan; Xu Li 013; Yaodong He (Sensors, 2020)

A Novel GPR-Based Prediction Model for Strip Crown in Hot Rolling by Using the Improved Local Outlier Factor. - Yan Wu; Xu Li 013; Feng Luan; Yaodong He (IEEE Access, 2021)

Predicting hot-strip finish rolling thickness using stochastic configuration networks. - Xu Li 013; Yaodong He; Jingguo Ding; Feng Luan; Dianhua Zhang (Inf. Sci., 2022)

Interval prediction of bending force in the hot strip rolling process based on neural network and whale optimization algorithm. - Xianghua Tian; Feng Luan; Xu Li 013; Yan Wu; Nan Chen (J. Intell. Fuzzy Syst., 2022)

Fusion of theory and data-driven model in hot plate rolling: A case study of rolling force prediction. - Zishuo Dong; Xu Li; Feng Luan; Lingming Meng; Jingguo Ding; Dianhua Zhang (Expert Syst. Appl., 2024)

Temporal online self-learning stochastic configuration networks: A study on strip deviation prediction. - Han Gao; Yumei Qin; Hao Yuan; Xu Li; Jianzhao Cao; Feng Luan; Dianhua Zhang (Inf. Sci., 2025)

SSFold: Learning to Fold Arbitrary Crumpled Cloth Using Graph Dynamics From Human Demonstration. - Changshi Zhou; Haichuan Xu; Jiarui Hu 005; Feng Luan; Zhipeng Wang 006; Yanchao Dong; Yanmin Zhou; Bin He 003 (IEEE Trans Autom. Sci. Eng., 2025)

Learning Efficient Robotic Garment Manipulation with Standardization. - Changshi Zhou; Feng Luan; Jiarui Hu 005; Shaoqiang Meng; Zhipeng Wang 006; Yanchao Dong; Yanmin Zhou; Bin He 003 (CoRR, 2025)