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ORCIDLin Feng 0001
Person information
- affiliation: Dalian University of Technology, School of Information and Communication Engineering, China
Other persons with the same name
- Lin Feng — disambiguation page
- Lin Feng 0002
![[0000-0002-5158-3862]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5158-3862")
— Beihang University, School of Mechanical Engineering & Automation, China (and 2 more) - Lin Feng 0003 — Sichuan Normal University, Chengdu, China
- Lin Feng 0004 — Hefei University of Technology, Hefei, China
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2020 – today
- 2024
[j94]Zhixiong Huang, Jinjiang Li, Xinying Wang, Zhen Hua, Shenglan Liu, Lin Feng:
Underwater image enhancement via cross-wise transformer network focusing on pre-post differences. Appl. Soft Comput. 164: 112000 (2024)- [j93]Lu-Yao Liu, Wenzhe Liu, Lin Feng:
A Primary task driven adaptive loss function for multi-task speech emotion recognition. Eng. Appl. Artif. Intell. 127(Part B): 107286 (2024) - [j92]Cheng Cheng, Wenzhe Liu, Zhaoxin Fan, Lin Feng, Ziyu Jia:
A novel transformer autoencoder for multi-modal emotion recognition with incomplete data. Neural Networks 172: 106111 (2024) - [j91]Cheng Cheng, Wenzhe Liu, Lin Feng, Ziyu Jia:
Emotion recognition using hierarchical spatial-temporal learning transformer from regional to global brain. Neural Networks 179: 106624 (2024) - [j90]Cheng Cheng, Wenzhe Liu, Lin Feng, Ziyu Jia:
Dense Graph Convolutional With Joint Cross-Attention Network for Multimodal Emotion Recognition. IEEE Trans. Comput. Soc. Syst. 11(5): 6672-6683 (2024) - [j89]Yunheng Li, Kai-Yuan Liu, Sheng-lan Liu, Lin Feng, Hong Qiao:
Involving Distinguished Temporal Graph Convolutional Networks for Skeleton-Based Temporal Action Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(1): 647-660 (2024) - [j88]Xiangzhu Meng, Lin Feng, Chonghui Guo, Huibing Wang, Shu Wu:
A Unified Framework Based on Graph Consensus Term for Multiview Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3964-3977 (2024) - [j87]Cheng Cheng, Zikang Yu, Yong Zhang, Lin Feng:
Hybrid Network Using Dynamic Graph Convolution and Temporal Self-Attention for EEG-Based Emotion Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18565-18575 (2024) - [c26]Yule Liu, Zhuben Dong, Shenglan Liu, Wujun Wen, Lin Feng:
Two-Step Temporal Divisive Clustering for Unsupervised Action Segmentation. ICME 2024: 1-6 - [i26]Zhixiong Huang, Xinying Wang, Jinjiang Li, Shenglan Liu, Lin Feng:
Underwater Variable Zoom: Depth-Guided Perception Network for Underwater Image Enhancement. CoRR abs/2404.17883 (2024) - [i25]Xinying Wang, Zhixiong Huang, Sifan Zhang, Jiawen Zhu, Lin Feng:
GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB Images. CoRR abs/2405.07777 (2024) - 2023
- [j86]Yan Huang, Lin Feng, Yang Liu:
A Data-Driven State Estimation Framework for Natural Gas Networks With Measurement Noise. IEEE Access 11: 30888-30898 (2023) - [j85]Huiyuan Deng, Xiangzhu Meng, Fengxia Deng, Lin Feng:
UNIT: A unified metric learning framework based on maximum entropy regularization. Appl. Intell. 53(20): 24509-24529 (2023) - [j84]Wenzhe Liu, Luyao Liu, Yong Zhang, Lin Feng:
Enhanced tensor multi-view clustering via dual constraints. Eng. Appl. Artif. Intell. 123(Part A): 106209 (2023) - [j83]Huiyuan Deng, Xiangzhu Meng, Huibing Wang, Lin Feng:
OPM2L: An optimal instance partition-based multi-metric learning method for heterogeneous dataset classification. Inf. Sci. 648: 119550 (2023) - [j82]Lin Feng, Lu-Yao Liu, Sheng-lan Liu, Jian Zhou, Han-Qing Yang, Jie Yang:
Multimodal speech emotion recognition based on multi-scale MFCCs and multi-view attention mechanism. Multim. Tools Appl. 82(19): 28917-28935 (2023) - [j81]Lu-Yao Liu, Wenzhe Liu, Lin Feng:
SDTF-Net: Static and dynamic time-frequency network for Speech Emotion Recognition. Speech Commun. 148: 1-8 (2023) - [j80]Xinying Wang, Cheng Cheng, Shenglan Liu, Ruoxi Song, Xiang-Hai Wang, Lin Feng:
SS-INR: Spatial-Spectral Implicit Neural Representation Network for Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j79]Yan Huang, Lin Feng:
Interval State Estimation of Electricity-Gas Systems Considering Uncertainties of Network Parameters and Measurements. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j78]Cheng Cheng, Yong Zhang, Luyao Liu, Wenzhe Liu, Lin Feng:
Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition. IEEE J. Biomed. Health Informatics 27(3): 1342-1353 (2023) - [c25]Wenxuan Guo, Shuo Du, Huiyuan Deng, Zikang Yu, Lin Feng:
Towards Spatio-temporal Collaborative Learning: An End-to-End Deepfake Video Detection Framework. IJCNN 2023: 1-8 - [c24]Zikang Yu, Cheng Cheng, Wujun Wen, Wenxuan Guo, Lin Feng:
Action Reinforcement and Indication Module for Single-frame Temporal Action Localization. IJCNN 2023: 1-8 - [c23]Wujun Wen, Yunheng Li, Zhuben Dong, Lin Feng, Wanxiao Yang, Shen-lan Liu:
Streaming Video Temporal Action Segmentation in Real Time. ISKE 2023: 316-323 - [c22]Yifeng Dong, Guangsheng Li, Feilong Wang, Wujun Wen, Xuehai Xu, Lin Feng:
FBI-TAL: Foreground-Background Integration for Single-Frame Supervised Temporal Action Localization. ISKE 2023: 394-401 - [i24]Wujun Wen, Jinrong Zhang, Shenglan Liu, Yunheng Li, Qifeng Li, Lin Feng:
End-to-End Streaming Video Temporal Action Segmentation with Reinforce Learning. CoRR abs/2309.15683 (2023) - 2022
- [j77]Shengming Li, Linsong Xue, Lin Feng, Cuili Yao, Dong Wang:
Hybrid Convolutional-Transformer framework for drone-based few-shot weakly supervised object detection. Comput. Electr. Eng. 102: 108154 (2022) - [j76]Wenzhe Liu, Luyao Liu, Yong Zhang, Huibing Wang, Lin Feng:
Adaptive multi-view multiple-means clustering via subspace reconstruction. Eng. Appl. Artif. Intell. 114: 104986 (2022) - [j75]Huiyuan Deng, Xiangzhu Meng, Huibing Wang, Lin Feng:
Hierarchical multi-view metric learning with HSIC regularization. Neurocomputing 510: 135-148 (2022) - [j74]Cuili Yao, Lin Feng, Yuqiu Kong, Shengming Li, Hang Li:
Double cross-modality progressively guided network for RGB-D salient object detection. Image Vis. Comput. 117: 104351 (2022) - [j73]Lu-Yao Liu, Wenzhe Liu, Jian Zhou, Huiyuan Deng, Lin Feng:
ATDA: Attentional temporal dynamic activation for speech emotion recognition. Knowl. Based Syst. 243: 108472 (2022) - [j72]Huiyuan Deng, Xiangzhu Meng, Lin Feng:
Multimodal-aware weakly supervised metric learning with self-weighting triplet loss. Multim. Tools Appl. 81(28): 41151-41173 (2022) - [j71]Lin Feng, Cheng Cheng, Mingyan Zhao, Huiyuan Deng, Yong Zhang:
EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism. IEEE J. Biomed. Health Informatics 26(11): 5406-5417 (2022) - [j70]Shengming Li, Linsong Xue, Lin Feng, Yifan Wang, Dong Wang:
Object detection network pruning with multi-task information fusion. World Wide Web 25(4): 1667-1683 (2022) - [c21]Wenzhe Liu, Luyao Liu, Lin Feng, Huiyuan Deng:
Tensorized Multi-view Clustering via Hyper-graph Regularization. IJCNN 2022: 1-8 - [c20]Yang Liu, Wanxiao Yang, Hangyou Yu, Lin Feng, Yuqiu Kong, Shenglan Liu:
Background Suppressed and Motion Enhanced Network for Weakly Supervised Video Anomaly Detection. PRCV (3) 2022: 678-690 - [i23]Wujun Wen, Yunheng Li, Zhuben Dong, Lin Feng, Wanxiao Yang, Shen-lan Liu:
Streaming Video Temporal Action Segmentation In Real Time. CoRR abs/2209.13808 (2022) - 2021
- [j69]Xiangzhu Meng, Lin Feng, Huibing Wang:
Multi-view Low-rank Preserving Embedding: A novel method for multi-view representation. Eng. Appl. Artif. Intell. 99: 104140 (2021) - [j68]Cuili Yao, Lin Feng, Yuqiu Kong, Bo Jin, Yiwei Liu, Leheng Li:
Bi-DAINet: Bi-Directional Discard-Accept-Integrate Network for salient object detection. Neurocomputing 428: 142-152 (2021) - [j67]Yunheng Li, Zhuben Dong, Kaiyuan Liu, Lin Feng, Lianyu Hu, Jie Zhu, Li Xu, Yuhan Wang, Shenglan Liu:
Efficient Two-Step Networks for Temporal Action Segmentation. Neurocomputing 454: 373-381 (2021) - [j66]Lin Feng, Wenzhe Liu, Xiangzhu Meng, Yong Zhang:
Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization. Neurocomputing 464: 352-363 (2021) - [j65]Guihong Lao, Shenglan Liu, Chenwei Tan, Yang Wang, Guangzhe Li, Li Xu, Lin Feng, Feilong Wang:
Three Degree Binary Graph and Shortest Edge Clustering for re-ranking in multi-feature image retrieval. J. Vis. Commun. Image Represent. 80: 103282 (2021) - [j64]Caifeng Liu, Lin Feng, Guochao Liu, Huibing Wang, Shenglan Liu:
Bottom-up broadcast neural network for music genre classification. Multim. Tools Appl. 80(5): 7313-7331 (2021) - [j63]Shengming Li, Lin Feng, Yunfei Ge, Li Zhu, Liang Zhao:
An Ensemble Learning Method for Robot Electronic Nose with Active Perception. Sensors 21(11): 3941 (2021) - [j62]Shenglan Liu, Muxin Sun, Lin Feng, Hong Qiao, Shuyuan Chen, Yang Liu:
Social Neighborhood Graph and Multigraph Fusion Ranking for Multifeature Image Retrieval. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1389-1399 (2021) - [c19]Jian Zhou, Shenglan Liu, Lin Feng, Jie Yang, Ning Cai:
Weighted P-Rank: a Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network. ICONIP (1) 2021: 537-548 - [c18]Hao Liu, Shenglan Liu, Lin Feng, Lianyu Hu, Xiang Li, Heyu Fu:
A Lightweight Multidimensional Self-attention Network for Fine-Grained Action Recognition. ICONIP (2) 2021: 573-584 - [c17]Xiang Li, Shenglan Liu, Yunheng Li, Hao Liu, Jinjing Zhao, Lin Feng, Guihong Lao, Guangzhe Li:
Spatial-Temporal Attention Network with Multi-similarity Loss for Fine-Grained Skeleton-Based Action Recognition. ICONIP (2) 2021: 620-631 - [i22]Huiyuan Deng, Xiangzhu Meng, Lin Feng:
Multimodal-Aware Weakly Supervised Metric Learning with Self-weighting Triplet Loss. CoRR abs/2102.02670 (2021) - [i21]Shuliang Xu, Shenglan Liu, Lin Feng:
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery. CoRR abs/2102.03302 (2021) - [i20]Shuliang Xu, Shenglan Liu, Lin Feng:
Deep graph convolution neural network with non-negative matrix factorization for community discovery. CoRR abs/2103.05768 (2021) - [i19]Xiangzhu Meng, Lin Feng, Chonghui Guo:
A unified framework based on graph consensus term for multi-view learning. CoRR abs/2105.11781 (2021) - 2020
- [j61]Rui Yang, Lin Feng, Huibing Wang, Jianing Yao, Sen Luo:
Parallel Recurrent Convolutional Neural Networks-Based Music Genre Classification Method for Mobile Devices. IEEE Access 8: 19629-19637 (2020) - [j60]Cuili Yao, Yuqiu Kong, Lin Feng, Bo Jin, Hui Si:
Contour-Aware Recurrent Cross Constraint Network for Salient Object Detection. IEEE Access 8: 218739-218751 (2020) - [j59]Jian Zhou, Lin Feng, Ning Cai, Jie Yang:
Modeling and Simulation Analysis of Journal Impact Factor Dynamics Based on Submission and Citation Rules. Complex. 2020: 3154619:1-3154619:17 (2020) - [j58]Shuliang Xu, Lin Feng, Shenglan Liu, Hong Qiao:
Self-adaption neighborhood density clustering method for mixed data stream with concept drift. Eng. Appl. Artif. Intell. 89: 103451 (2020) - [j57]Yang Yu, Sen Luo, Shenglan Liu, Hong Qiao, Yang Liu, Lin Feng:
Deep attention based music genre classification. Neurocomputing 372: 84-91 (2020) - [j56]Shuliang Xu, Shenglan Liu, Lin Feng:
Fuzzy granularity neighborhood extreme clustering. Neurocomputing 379: 236-249 (2020) - [j55]Caifeng Liu, Lin Feng, Shuai Guo, Huibing Wang, Shenglan Liu, Hong Qiao:
An incrementally cascaded broad learning framework to facial landmark tracking. Neurocomputing 410: 125-137 (2020) - [j54]Caifeng Liu, Lin Feng, Huibing Wang, Shenglan Liu, Kaiyuan Liu:
Cascade regression based on extreme learning machine for face alignment. J. Electronic Imaging 29(4): 043002 (2020) - [j53]Lin Feng, Xiangzhu Meng, Huibing Wang:
Multi-view Locality Low-rank Embedding for Dimension Reduction. Knowl. Based Syst. 191: 105172 (2020) - [j52]Xiangzhu Meng, Huibing Wang, Lin Feng:
The similarity-consensus regularized multi-view learning for dimension reduction. Knowl. Based Syst. 199: 105835 (2020) - [j51]Shuliang Xu, Shenglan Liu, Lin Feng:
Manifold graph embedding with structure information propagation for community discovery. Knowl. Based Syst. 208: 106448 (2020) - [j50]Shuliang Xu, Lin Feng, Shenglan Liu, Jian Zhou, Hong Qiao:
Multi-feature weighting neighborhood density clustering. Neural Comput. Appl. 32(13): 9545-9565 (2020) - [j49]Lin Feng, Jian Zhou, Shenglan Liu, Ning Cai, Jie Yang:
Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score. Scientometrics 124(1): 233-254 (2020) - [j48]Lin Feng, Jian Zhou, Sheng-lan Liu, Ning Cai, Jie Yang:
Correction to: Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score. Scientometrics 124(3): 2739-2740 (2020) - [j47]Huibing Wang, Lin Feng, Adong Kong, Bo Jin:
Multi-view reconstructive preserving embedding for dimension reduction. Soft Comput. 24(10): 7769-7780 (2020) - [c16]Lin Feng, Qing Yuan, Yang Liu, Qianxin Huang, Shenglan Liu, Yingping Li:
A Discriminative STGCN for Skeleton Oriented Action Recognition. ICONIP (5) 2020: 3-10 - [c15]Guangzhe Li, Shenglan Liu, Feilong Wang, Lin Feng:
Bionic Vision Descriptor for Image Retrieval. ICONIP (1) 2020: 162-173 - [c14]Lin Feng, Zhenning Lu, Shenglan Liu, Dong Jiang, Yang Liu, Lianyu Hu:
Skeleton-Based Action Recognition with Dense Spatial Temporal Graph Network. ICONIP (5) 2020: 188-194 - [c13]Lianyu Hu, Lin Feng, Shenglan Liu:
HFNet: A Novel Model for Human Focused Sports Action Recognition. MMSports@MM 2020: 35-43 - [c12]Rui Yang, Xiangzhu Meng, Lin Feng:
Scatter Balance based Semi-supervised Dimensional Reduction. SmartIoT 2020: 168-175 - [i18]Sheng-lan Liu, Xiang Liu, Gao Huang, Lin Feng, Lianyu Hu, Dong Jiang, Aibin Zhang, Yang Liu, Hong Qiao:
FSD-10: A Dataset for Competitive Sports Content Analysis. CoRR abs/2002.03312 (2020) - [i17]Xiangzhu Meng, Lin Feng, Huibing Wang:
Multi-view Low-rank Preserving Embedding: A Novel Method for Multi-view Representation. CoRR abs/2006.10520 (2020)
2010 – 2019
- 2019
- [j46]Caifeng Liu, Lin Feng, Huibing Wang, Bin Wu:
Face Alignment via Multi-Regressors Collaborative Optimization. IEEE Access 7: 4101-4112 (2019) - [j45]Lin Feng, Shuliang Xu, Feilong Wang, Shenglan Liu, Hong Qiao:
Rough extreme learning machine: A new classification method based on uncertainty measure. Neurocomputing 325: 269-282 (2019) - [j44]Shuai Guo, Lin Feng, Zhanbo Feng, Yi-Hao Li, Yang Wang, Sheng-lan Liu, Hong Qiao:
Multi-view laplacian least squares for human emotion recognition. Neurocomputing 370: 78-87 (2019) - [j43]Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun:
An ELM based local topology preserving hashing. Int. J. Mach. Learn. Cybern. 10(10): 2691-2708 (2019) - [j42]Shuliang Xu, Shenglan Liu, Jian Zhou, Lin Feng:
Fuzzy rough clustering for categorical data. Int. J. Mach. Learn. Cybern. 10(11): 3213-3223 (2019) - [j41]Lin Feng, Huibing Wang, Bo Jin, Haohao Li, Mingliang Xue, Le Wang:
Learning a Distance Metric by Balancing KL-Divergence for Imbalanced Datasets. IEEE Trans. Syst. Man Cybern. Syst. 49(12): 2384-2395 (2019) - [c11]Shuliang Xu, Shenglan Liu, Lin Feng:
Neighborhood Graph Embedding for Nodes Clustering of Social Network. HPCC/SmartCity/DSS 2019: 718-725 - [c10]Shengming Li, Wenqiang Xu, Lin Feng, Tie Qiu:
A Greedy Multiple Fixed Node Networking Algorithm for Indoor Environmental Monitoring Scenarios. SmartIoT 2019: 107-112 - [c9]Lin Feng, Dong Jiang, Aibin Zhang, Shenglan Liu, Feilong Wang, Yang Liu:
Color Recognition for Rubik's Cube Robot. SmartIoT 2019: 269-274 - [c8]Lin Feng, Caifeng Liu, Shenglan Liu, Huibing Wang:
A Fast Online Cascaded Regression Algorithm for Face Alignment. SmartIoT 2019: 330-334 - [i16]Shenglan Liu, Dong Jiang, Lin Feng, Feilong Wang, Zhanbo Feng, Xiang Liu, Shuai Guo, Bingjun Li, Yuchen Cong:
Color Recognition for Rubik's Cube Robot. CoRR abs/1901.03470 (2019) - [i15]Caifeng Liu, Lin Feng, Guochao Liu, Huibing Wang, Shenglan Liu:
Bottom-up Broadcast Neural Network For Music Genre Classification. CoRR abs/1901.08928 (2019) - [i14]Lin Feng, Caifeng Liu, Shenglan Liu, Huibing Wang:
A fast online cascaded regression algorithm for face alignment. CoRR abs/1905.04010 (2019) - [i13]Lin Feng, Xiangzhu Meng, Huibing Wang:
Multi-view Locality Low-rank Embedding for Dimension Reduction. CoRR abs/1905.08138 (2019) - [i12]Shenglan Liu, Yang Yu, Yang Liu, Hong Qiao, Lin Feng, Jiashi Feng:
Hierarchic Neighbors Embedding. CoRR abs/1909.07142 (2019) - [i11]Xiangzhu Meng, Huibing Wang, Lin Feng:
The Similarity-Consensus Regularized Multi-view Learning for Dimension Reduction. CoRR abs/1911.07656 (2019) - 2018
- [j40]Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun:
Sensor Network Oriented Human Motion Segmentation With Motion Change Measurement. IEEE Access 6: 9281-9291 (2018) - [j39]Rui Yang, Shuliang Xu, Lin Feng:
An Ensemble Extreme Learning Machine for Data Stream Classification. Algorithms 11(7): 107 (2018) - [j38]Shenglan Liu, Jun Wu, Lin Feng, Sen Luo, Deqin Yan:
Quasi-curvature Local Linear Projection and Extreme Learning Machine for nonlinear dimensionality reduction. Neurocomputing 277: 208-217 (2018) - [j37]Shenglan Liu, Jun Wu, Lin Feng, Hong Qiao, Yang Liu, Wenbo Luo, Wei Wang:
Perceptual uniform descriptor and ranking on manifold for image retrieval. Inf. Sci. 424: 235-249 (2018) - [j36]Laihang Yu, Lin Feng, Huibing Wang, Li Li, Yang Liu, Shenglan Liu:
Multi-trend binary code descriptor: a novel local texture feature descriptor for image retrieval. Signal Image Video Process. 12(2): 247-254 (2018) - [j35]Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun:
Global similarity preserving hashing. Soft Comput. 22(7): 2105-2120 (2018) - [j34]Shenglan Liu, Lin Feng, Yang Liu, Hong Qiao, Jun Wu, Wei Wang:
Manifold Warp Segmentation of Human Action. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1414-1426 (2018) - [c7]Lin Feng, Huimin Lu, Shenglan Liu, Guochao Liu, Sen Luo:
Automatic Feature Learning for MOOC Forum Thread Classification. ICBDC 2018: 65-70 - [i10]Huibing Wang, Lin Feng, Adong Kong, Bo Jin:
Multi-view Reconstructive Preserving Embedding for Dimension Reduction. CoRR abs/1807.10614 (2018) - [i9]Shenglan Liu, Xiang Liu, Yang Liu, Lin Feng, Hong Qiao, Jian Zhou, Yang Wang:
Perceptual Visual Interactive Learning. CoRR abs/1810.10789 (2018) - 2017
- [j33]Shenglan Liu, Lin Feng, Jun Wu, Gang Hou, Guangjie Han:
Concept drift detection for data stream learning based on angle optimized global embedding and principal component analysis in sensor networks. Comput. Electr. Eng. 58: 327-336 (2017) - [j32]Huibing Wang, Lin Feng, Xiangzhu Meng, Zhaofeng Chen, Laihang Yu, Hongwei Zhang:
Multi-view metric learning based on KL-divergence for similarity measurement. Neurocomputing 238: 269-276 (2017) - [j31]Lin Feng, Laihang Yu, Hai Zhu:
Spectral embedding-based multiview features fusion for content-based image retrieval. J. Electronic Imaging 26(5): 53002 (2017) - [j30]Jun Wu, Lin Feng, Shenglan Liu, Muxin Sun:
Image retrieval framework based on texton uniform descriptor and modified manifold ranking. J. Vis. Commun. Image Represent. 49: 78-88 (2017) - [j29]Shenglan Liu, Lin Feng, Yang Liu, Jun Wu, Muxin Sun, Wei Wang:
Robust discriminative extreme learning machine for relevance feedback in image retrieval. Multidimens. Syst. Signal Process. 28(3): 1071-1089 (2017) - [j28]Jing Zhang, Lin Feng, Laihang Yu:
A novel target tracking method based on OSELM. Multidimens. Syst. Signal Process. 28(3): 1091-1108 (2017) - [j27]Lin Feng, Lei Cai, Yang Liu, Shenglan Liu:
Multi-view spectral clustering via robust local subspace learning. Soft Comput. 21(8): 1937-1948 (2017) - [c6]Yang Liu, Lin Feng, Muxin Sun, Shenglan Liu:
Hashing Based State Variation for Human Motion Segmentation. CCCV (3) 2017: 627-638 - [c5]Lin Feng, Guochao Liu, Sen Luo, Shenglan Liu:
A Transferable Framework: Classification and Visualization of MOOC Discussion Threads. ICONIP (4) 2017: 377-384 - [i8]Sheng-lan Liu, Jun Wu, Lin Feng, Feilong Wang:
Neural method for Explicit Mapping of Quasi-curvature Locally Linear Embedding in image retrieval. CoRR abs/1703.03957 (2017) - [i7]Shuliang Xu, Lin Feng, Feilong Wang, Shenglan Liu:
Rough extreme learning machine: a new classification method based on uncertainty measure. CoRR abs/1710.10824 (2017) - [i6]Youchen Du, Shenglan Liu, Lin Feng, Menghui Chen, Jie Wu:
Hand Gesture Recognition with Leap Motion. CoRR abs/1711.04293 (2017) - [i5]Lin Feng, Sheng-lan Liu, Jianing Yao:
Music Genre Classification with Paralleling Recurrent Convolutional Neural Network. CoRR abs/1712.08370 (2017) - 2016
- [j26]Tie Qiu, Xize Liu, Lin Feng, Yu Zhou, Kaiyu Zheng:
An Efficient Tree-Based Self-Organizing Protocol for Internet of Things. IEEE Access 4: 3535-3546 (2016) - [j25]Cuili Yao, Yue Qu, Bo Jin, Li Guo, Chao Li, Wenjuan Cui, Lin Feng:
A Convolutional Neural Network Model for Online Medical Guidance. IEEE Access 4: 4094-4103 (2016) - [j24]