Feng Luan - researchr alias

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Viewing Publication 1 - 24 from 24

2026

Developing the robotic space-force boundary of physical interaction perception in an infant wayZheng Yan, Yanmin Zhou, Chengjin Wang, Feng Luan, Xin Li 0093, Yongkang Jiang, Bin He 0003. ijon, 663:132014, 2026. [doi]

2025

Temporal online self-learning stochastic configuration networks: A study on strip deviation predictionHan Gao, Yumei Qin, Hao Yuan, Xu Li, Jianzhao Cao, Feng Luan, Dianhua Zhang. isci, 689:121446, 2025. [doi]

Transition-Aware Point Cloud Completion by a Progressive Refinement Generative Adversarial NetworkFeng Luan, Jiarui Hu 0005, Zhipeng Wang 0006, Jiguang Yue, Yanmin Zhou, Bin He 0003. tmm, 27:6070-6079, 2025. [doi]

Rotation Invariant Spatial Networks for Single-View Point Cloud ClassificationFeng Luan, Jiarui Hu 0005, Changshi Zhou, Zhipeng Wang 0006, Jiguang Yue, Yanmin Zhou, Bin He 0003. IJCAI 2025: 1693-1701 [doi]

SSFold: Learning to Fold Arbitrary Crumpled Cloth Using Graph Dynamics From Human DemonstrationChangshi Zhou, Haichuan Xu, Jiarui Hu 0005, Feng Luan, Zhipeng Wang 0006, Yanchao Dong, Yanmin Zhou, Bin He 0003. tase, 22:14448-14460, 2025. [doi]

2024

Fusion of theory and data-driven model in hot plate rolling: A case study of rolling force predictionZishuo Dong, Xu Li, Feng Luan, Lingming Meng, Jingguo Ding, Dianhua Zhang. eswa, 245:123047, 2024. [doi]

2022

Predicting hot-strip finish rolling thickness using stochastic configuration networksXu Li, Yaodong He, Jingguo Ding, Feng Luan, Dianhua Zhang. isci, 611:677-689, 2022. [doi]

Interval prediction of bending force in the hot strip rolling process based on neural network and whale optimization algorithmXianghua Tian, Feng Luan, Xu Li 0013, Yan Wu, Nan Chen. jifs, 43(6):7297-7315, 2022. [doi]

2021

A Novel GPR-Based Prediction Model for Strip Crown in Hot Rolling by Using the Improved Local Outlier FactorYan Wu, Xu Li, Feng Luan, Yaodong He. access, 9:458-469, 2021. [doi]

2020

FPGA-Based Implementation of Stochastic Configuration Networks for Regression PredictionYunqi Gao, Feng Luan, Jiaqi Pan, Xu Li, Yaodong He. sensors, 20(15):4191, 2020. [doi]

FPGA-Based Implementation of Stochastic Configuration Network for Robotic Grasping RecognitionJiaqi Pan, Feng Luan, Yunqi Gao, Yangjie Wei. access, 8:139966-139973, 2020. [doi]

2017

Improving the accuracy of beamforming method for moving acoustic source localization in far-fieldQiqi Bao, Feng Luan, Jingxuan Yang. bmei 2017: 1-6 [doi]

2015

A multimodal framework for integrating biological spectral characteristics and MEG/EEG in brain-source imagingFeng Luan, Zhiming Zhang, Tianqi Zhang. icnc 2015: 159-164 [doi]

2014

High-performance reflective liquid level sensor based on titled fiber Bragg grating inscribed in the thin-core fiberBobo Gu, Wenliang Qi, Yanyan Zhou, Jie Zheng, Perry Ping Shum, Feng Luan. ofc 2014: 1-3 [doi]

2011

MMET: A Migration Metadata Extraction Tool for Long-Term Preservation SystemsFeng Luan, Mads Nygård. DICTAP 2011: 579-590 [doi]

Using a multi-criteria decision making approach to evaluate format migration solutionsFeng Luan, Mads Nygård, Guttorm Sindre, Trond Aalberg. medes 2011: 48-52 [doi]

QSPR Study on the prediction of ionization potential of various organic compounds by heuristic method and radial basis function neural networkLihua Tian, Huitao Liu, Feng Luan, Yuan Gao. icnc 2011: 199-202 [doi]

2010

2007

A Novel Algorithm for Fault Diagnosis of Analog Circuit with Tolerances Using Improved Binary-tree SVMs Based on SOMNN ClusteringAnna Wang, Junfang Liu, Hua Li, Feng Luan, Wenjing Yuan. icnc 2007: 491-496 [doi]

2006

Prediction of standard Gibbs energies of the transfer of peptide anions from aqueous solution to nitrobenzene based on support vector machine and the heuristic methodFeng Luan, Xiaoyun Zhang, Haixia Zhang, Ruisheng Zhang, Mancang Liu, Zhide Hu, Bo Tao Fan. jcamd, 20(1):1-11, 2006. [doi]

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