Lin Feng

According to our database, Lin Feng authored at least 136 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dense Graph Convolutional With Joint Cross-Attention Network for Multimodal Emotion Recognition.

Cheng Cheng, Wenzhe Liu, Lin Feng, Ziyu Jia

IEEE Trans. Comput. Soc. Syst., October, 2024

A Unified Framework Based on Graph Consensus Term for Multiview Learning.

Xiangzhu Meng, Lin Feng, Chonghui Guo, Huibing Wang, Shu Wu

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Involving Distinguished Temporal Graph Convolutional Networks for Skeleton-Based Temporal Action Segmentation.

Yunheng Li, Kai-Yuan Liu, Sheng-lan Liu, Lin Feng, Hong Qiao

IEEE Trans. Circuits Syst. Video Technol., January, 2024

A Primary task driven adaptive loss function for multi-task speech emotion recognition.

Lu-Yao Liu, Wenzhe Liu, Lin Feng

Eng. Appl. Artif. Intell., January, 2024

Emotion recognition using hierarchical spatial-temporal learning transformer from regional to global brain.

Cheng Cheng, Wenzhe Liu, Lin Feng, Ziyu Jia

Neural Networks, 2024

A novel transformer autoencoder for multi-modal emotion recognition with incomplete data.

Cheng Cheng, Wenzhe Liu, Zhaoxin Fan, Lin Feng, Ziyu Jia

Neural Networks, 2024

GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB Images.

Xinying Wang, Zhixiong Huang, Sifan Zhang, Jiawen Zhu, Lin Feng

CoRR, 2024

Underwater Variable Zoom: Depth-Guided Perception Network for Underwater Image Enhancement.

Zhixiong Huang, Xinying Wang, Jinjiang Li, Shenglan Liu, Lin Feng

CoRR, 2024

Underwater image enhancement via cross-wise transformer network focusing on pre-post differences.

Zhixiong Huang, Jinjiang Li, Xinying Wang, Zhen Hua, Shenglan Liu, Lin Feng

Appl. Soft Comput., 2024

Two-Step Temporal Divisive Clustering for Unsupervised Action Segmentation.

Yule Liu, Zhuben Dong, Shenglan Liu, Wujun Wen, Lin Feng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

OPM²L: An optimal instance partition-based multi-metric learning method for heterogeneous dataset classification.

Huiyuan Deng, Xiangzhu Meng, Huibing Wang, Lin Feng

Inf. Sci., November, 2023

UNIT: A unified metric learning framework based on maximum entropy regularization.

Huiyuan Deng, Xiangzhu Meng, Fengxia Deng, Lin Feng

Appl. Intell., October, 2023

Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition.

Cheng Cheng, Yong Zhang, Luyao Liu, Wenzhe Liu, Lin Feng

IEEE J. Biomed. Health Informatics, March, 2023

SDTF-Net: Static and dynamic time-frequency network for Speech Emotion Recognition.

Lu-Yao Liu, Wenzhe Liu, Lin Feng

Speech Commun., March, 2023

Interval State Estimation of Electricity-Gas Systems Considering Uncertainties of Network Parameters and Measurements.

Yan Huang, Lin Feng

IEEE Trans. Instrum. Meas., 2023

SS-INR: Spatial-Spectral Implicit Neural Representation Network for Hyperspectral and Multispectral Image Fusion.

Xinying Wang, Cheng Cheng, Shenglan Liu, Ruoxi Song, Xiang-Hai Wang, Lin Feng

IEEE Trans. Geosci. Remote. Sens., 2023

Multimodal speech emotion recognition based on multi-scale MFCCs and multi-view attention mechanism.

Lin Feng, Lu-Yao Liu, Sheng-lan Liu, Jian Zhou, Han-Qing Yang, Jie Yang

Multim. Tools Appl., 2023

Enhanced tensor multi-view clustering via dual constraints.

Wenzhe Liu, Luyao Liu, Yong Zhang, Lin Feng

Eng. Appl. Artif. Intell., 2023

End-to-End Streaming Video Temporal Action Segmentation with Reinforce Learning.

Wujun Wen, Jinrong Zhang, Shenglan Liu, Yunheng Li, Qifeng Li, Lin Feng

CoRR, 2023

A Data-Driven State Estimation Framework for Natural Gas Networks With Measurement Noise.

Yan Huang, Lin Feng, Yang Liu

IEEE Access, 2023

Streaming Video Temporal Action Segmentation in Real Time.

Wujun Wen, Yunheng Li, Zhuben Dong, Lin Feng, Wanxiao Yang, Shen-lan Liu

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

FBI-TAL: Foreground-Background Integration for Single-Frame Supervised Temporal Action Localization.

Yifeng Dong, Guangsheng Li, Feilong Wang, Wujun Wen, Xuehai Xu, Lin Feng

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Action Reinforcement and Indication Module for Single-frame Temporal Action Localization.

Zikang Yu, Cheng Cheng, Wujun Wen, Wenxuan Guo, Lin Feng

Proceedings of the International Joint Conference on Neural Networks, 2023

Towards Spatio-temporal Collaborative Learning: An End-to-End Deepfake Video Detection Framework.

Wenxuan Guo, Shuo Du, Huiyuan Deng, Zikang Yu, Lin Feng

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Object detection network pruning with multi-task information fusion.

Shengming Li, Linsong Xue, Lin Feng, Yifan Wang, Dong Wang

World Wide Web, 2022

EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism.

Lin Feng, Cheng Cheng, Mingyan Zhao, Huiyuan Deng, Yong Zhang

IEEE J. Biomed. Health Informatics, 2022

Multimodal-aware weakly supervised metric learning with self-weighting triplet loss.

Huiyuan Deng, Xiangzhu Meng, Lin Feng

Multim. Tools Appl., 2022

ATDA: Attentional temporal dynamic activation for speech emotion recognition.

Lu-Yao Liu, Wenzhe Liu, Jian Zhou, Huiyuan Deng, Lin Feng

Knowl. Based Syst., 2022

Double cross-modality progressively guided network for RGB-D salient object detection.

Cuili Yao, Lin Feng, Yuqiu Kong, Shengming Li, Hang Li

Image Vis. Comput., 2022

Hierarchical multi-view metric learning with HSIC regularization.

Huiyuan Deng, Xiangzhu Meng, Huibing Wang, Lin Feng

Neurocomputing, 2022

Adaptive multi-view multiple-means clustering via subspace reconstruction.

Wenzhe Liu, Luyao Liu, Yong Zhang, Huibing Wang, Lin Feng

Eng. Appl. Artif. Intell., 2022

Hybrid Convolutional-Transformer framework for drone-based few-shot weakly supervised object detection.

Shengming Li, Linsong Xue, Lin Feng, Cuili Yao, Dong Wang

Comput. Electr. Eng., 2022

Background Suppressed and Motion Enhanced Network for Weakly Supervised Video Anomaly Detection.

Yang Liu, Wanxiao Yang, Hangyou Yu, Lin Feng, Yuqiu Kong, Shenglan Liu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Tensorized Multi-view Clustering via Hyper-graph Regularization.

Wenzhe Liu, Luyao Liu, Lin Feng, Huiyuan Deng

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Social Neighborhood Graph and Multigraph Fusion Ranking for Multifeature Image Retrieval.

Shenglan Liu, Muxin Sun, Lin Feng, Hong Qiao, Shuyuan Chen, Yang Liu

IEEE Trans. Neural Networks Learn. Syst., 2021

An Ensemble Learning Method for Robot Electronic Nose with Active Perception.

Shengming Li, Lin Feng, Yunfei Ge, Li Zhu, Liang Zhao

Sensors, 2021

Bottom-up broadcast neural network for music genre classification.

Caifeng Liu, Lin Feng, Guochao Liu, Huibing Wang, Shenglan Liu

Multim. Tools Appl., 2021

Three Degree Binary Graph and Shortest Edge Clustering for re-ranking in multi-feature image retrieval.

Guihong Lao, Shenglan Liu, Chenwei Tan, Yang Wang, Guangzhe Li, Li Xu, Lin Feng, Feilong Wang

J. Vis. Commun. Image Represent., 2021

Bi-DAINet: Bi-Directional Discard-Accept-Integrate Network for salient object detection.

Cuili Yao, Lin Feng, Yuqiu Kong, Bo Jin, Yiwei Liu, Leheng Li

Neurocomputing, 2021

Efficient Two-Step Networks for Temporal Action Segmentation.

Yunheng Li, Zhuben Dong, Kaiyuan Liu, Lin Feng, Lianyu Hu, Jie Zhu, Li Xu, Yuhan Wang, Shenglan Liu

Neurocomputing, 2021

Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization.

Lin Feng, Wenzhe Liu, Xiangzhu Meng, Yong Zhang

Neurocomputing, 2021

Multi-view Low-rank Preserving Embedding: A novel method for multi-view representation.

Xiangzhu Meng, Lin Feng, Huibing Wang

Eng. Appl. Artif. Intell., 2021

A unified framework based on graph consensus term for multi-view learning.

Xiangzhu Meng, Lin Feng, Chonghui Guo

CoRR, 2021

Deep graph convolution neural network with non-negative matrix factorization for community discovery.

Shuliang Xu, Shenglan Liu, Lin Feng

CoRR, 2021

Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery.

Shuliang Xu, Shenglan Liu, Lin Feng

CoRR, 2021

Weighted P-Rank: a Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network.

Jian Zhou, Shenglan Liu, Lin Feng, Jie Yang, Ning Cai

Proceedings of the Neural Information Processing - 28th International Conference, 2021

A Lightweight Multidimensional Self-attention Network for Fine-Grained Action Recognition.

Hao Liu, Shenglan Liu, Lin Feng, Lianyu Hu, Xiang Li, Heyu Fu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Spatial-Temporal Attention Network with Multi-similarity Loss for Fine-Grained Skeleton-Based Action Recognition.

Xiang Li, Shenglan Liu, Yunheng Li, Hao Liu, Jinjing Zhao, Lin Feng, Guihong Lao, Guangzhe Li

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Multi-view reconstructive preserving embedding for dimension reduction.

Huibing Wang, Lin Feng, Adong Kong, Bo Jin

Soft Comput., 2020

Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score.

Lin Feng, Jian Zhou, Shenglan Liu, Ning Cai, Jie Yang

Scientometrics, 2020

Correction to: Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score.

Lin Feng, Jian Zhou, Sheng-lan Liu, Ning Cai, Jie Yang

Scientometrics, 2020

Multi-feature weighting neighborhood density clustering.

Shuliang Xu, Lin Feng, Shenglan Liu, Jian Zhou, Hong Qiao

Neural Comput. Appl., 2020

Manifold graph embedding with structure information propagation for community discovery.

Shuliang Xu, Shenglan Liu, Lin Feng

Knowl. Based Syst., 2020

The similarity-consensus regularized multi-view learning for dimension reduction.

Xiangzhu Meng, Huibing Wang, Lin Feng

Knowl. Based Syst., 2020

Multi-view Locality Low-rank Embedding for Dimension Reduction.

Lin Feng, Xiangzhu Meng, Huibing Wang

Knowl. Based Syst., 2020

Cascade regression based on extreme learning machine for face alignment.

Caifeng Liu, Lin Feng, Huibing Wang, Shenglan Liu, Kaiyuan Liu

J. Electronic Imaging, 2020

Deep attention based music genre classification.

Yang Yu, Sen Luo, Shenglan Liu, Hong Qiao, Yang Liu, Lin Feng

Neurocomputing, 2020

Fuzzy granularity neighborhood extreme clustering.

Shuliang Xu, Shenglan Liu, Lin Feng

Neurocomputing, 2020

An incrementally cascaded broad learning framework to facial landmark tracking.

Caifeng Liu, Lin Feng, Shuai Guo, Huibing Wang, Shenglan Liu, Hong Qiao

Neurocomputing, 2020

Self-adaption neighborhood density clustering method for mixed data stream with concept drift.

Shuliang Xu, Lin Feng, Shenglan Liu, Hong Qiao

Eng. Appl. Artif. Intell., 2020

FSD-10: A Dataset for Competitive Sports Content Analysis.

Sheng-lan Liu, Xiang Liu, Gao Huang, Lin Feng, Lianyu Hu, Dong Jiang, Aibin Zhang, Yang Liu, Hong Qiao

CoRR, 2020

Modeling and Simulation Analysis of Journal Impact Factor Dynamics Based on Submission and Citation Rules.

Jian Zhou, Lin Feng, Ning Cai, Jie Yang

Complex., 2020

Contour-Aware Recurrent Cross Constraint Network for Salient Object Detection.

Cuili Yao, Yuqiu Kong, Lin Feng, Bo Jin, Hui Si

IEEE Access, 2020

Parallel Recurrent Convolutional Neural Networks-Based Music Genre Classification Method for Mobile Devices.

Rui Yang, Lin Feng, Huibing Wang, Jianing Yao, Sen Luo

IEEE Access, 2020

Scatter Balance based Semi-supervised Dimensional Reduction.

Rui Yang, Xiangzhu Meng, Lin Feng

Proceedings of the 2020 IEEE International Conference on Smart Internet of Things, 2020

HFNet: A Novel Model for Human Focused Sports Action Recognition.

Lianyu Hu, Lin Feng, Shenglan Liu

Proceedings of the MMSports '20: Proceedings of the 3rd International Workshop on Multimedia Content Analysis in Sports, 2020

Bionic Vision Descriptor for Image Retrieval.

Guangzhe Li, Shenglan Liu, Feilong Wang, Lin Feng

Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Discriminative STGCN for Skeleton Oriented Action Recognition.

Lin Feng, Qing Yuan, Yang Liu, Qianxin Huang, Shenglan Liu, Yingping Li

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Skeleton-Based Action Recognition with Dense Spatial Temporal Graph Network.

Lin Feng, Zhenning Lu, Shenglan Liu, Dong Jiang, Yang Liu, Lianyu Hu

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Learning a Distance Metric by Balancing KL-Divergence for Imbalanced Datasets.

Lin Feng, Huibing Wang, Bo Jin, Haohao Li, Mingliang Xue, Le Wang

IEEE Trans. Syst. Man Cybern. Syst., 2019

Fuzzy rough clustering for categorical data.

Shuliang Xu, Shenglan Liu, Jian Zhou, Lin Feng

Int. J. Mach. Learn. Cybern., 2019

An ELM based local topology preserving hashing.

Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun

Int. J. Mach. Learn. Cybern., 2019

Multi-view laplacian least squares for human emotion recognition.

Shuai Guo, Lin Feng, Zhanbo Feng, Yi-Hao Li, Yang Wang, Sheng-lan Liu, Hong Qiao

Neurocomputing, 2019

Rough extreme learning machine: A new classification method based on uncertainty measure.

Lin Feng, Shuliang Xu, Feilong Wang, Shenglan Liu, Hong Qiao

Neurocomputing, 2019

Hierarchic Neighbors Embedding.

Shenglan Liu, Yang Yu, Yang Liu, Hong Qiao, Lin Feng, Jiashi Feng

CoRR, 2019

Color Recognition for Rubik's Cube Robot.

Shenglan Liu, Dong Jiang, Lin Feng, Feilong Wang, Zhanbo Feng, Xiang Liu, Shuai Guo, Bingjun Li, Yuchen Cong

CoRR, 2019

Face Alignment via Multi-Regressors Collaborative Optimization.

Caifeng Liu, Lin Feng, Huibing Wang, Bin Wu

IEEE Access, 2019

A Greedy Multiple Fixed Node Networking Algorithm for Indoor Environmental Monitoring Scenarios.

Shengming Li, Wenqiang Xu, Lin Feng, Tie Qiu

Proceedings of the 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), 2019

A Fast Online Cascaded Regression Algorithm for Face Alignment.

Lin Feng, Caifeng Liu, Shenglan Liu, Huibing Wang

Proceedings of the 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), 2019

Color Recognition for Rubik's Cube Robot.

Lin Feng, Dong Jiang, Aibin Zhang, Shenglan Liu, Feilong Wang, Yang Liu

Proceedings of the 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), 2019

Neighborhood Graph Embedding for Nodes Clustering of Social Network.

Shuliang Xu, Shenglan Liu, Lin Feng

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

Manifold Warp Segmentation of Human Action.

Shenglan Liu, Lin Feng, Yang Liu, Hong Qiao, Jun Wu, Wei Wang

IEEE Trans. Neural Networks Learn. Syst., 2018

Global similarity preserving hashing.

Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun

Soft Comput., 2018

Multi-trend binary code descriptor: a novel local texture feature descriptor for image retrieval.

Laihang Yu, Lin Feng, Huibing Wang, Li Li, Yang Liu, Shenglan Liu

Signal Image Video Process., 2018

Perceptual uniform descriptor and ranking on manifold for image retrieval.

Shenglan Liu, Jun Wu, Lin Feng, Hong Qiao, Yang Liu, Wenbo Luo, Wei Wang

Inf. Sci., 2018

Quasi-curvature Local Linear Projection and Extreme Learning Machine for nonlinear dimensionality reduction.

Shenglan Liu, Jun Wu, Lin Feng, Sen Luo, Deqin Yan

Neurocomputing, 2018

Perceptual Visual Interactive Learning.

Shenglan Liu, Xiang Liu, Yang Liu, Lin Feng, Hong Qiao, Jian Zhou, Yang Wang

CoRR, 2018

An Ensemble Extreme Learning Machine for Data Stream Classification.

Rui Yang, Shuliang Xu, Lin Feng

Algorithms, 2018

Sensor Network Oriented Human Motion Segmentation With Motion Change Measurement.

Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun

IEEE Access, 2018

Automatic Feature Learning for MOOC Forum Thread Classification.

Lin Feng, Huimin Lu, Shenglan Liu, Guochao Liu, Sen Luo

Proceedings of the 2018 International Conference on Big Data and Computing, 2018

2017

Multi-view spectral clustering via robust local subspace learning.

Lin Feng, Lei Cai, Yang Liu, Shenglan Liu

Soft Comput., 2017

Robust discriminative extreme learning machine for relevance feedback in image retrieval.

Shenglan Liu, Lin Feng, Yang Liu, Jun Wu, Muxin Sun, Wei Wang

Multidimens. Syst. Signal Process., 2017

A novel target tracking method based on OSELM.

Jing Zhang, Lin Feng, Laihang Yu

Multidimens. Syst. Signal Process., 2017

Image retrieval framework based on texton uniform descriptor and modified manifold ranking.

Jun Wu, Lin Feng, Shenglan Liu, Muxin Sun

J. Vis. Commun. Image Represent., 2017

Spectral embedding-based multiview features fusion for content-based image retrieval.

Lin Feng, Laihang Yu, Hai Zhu

J. Electronic Imaging, 2017

Multi-view metric learning based on KL-divergence for similarity measurement.

Huibing Wang, Lin Feng, Xiangzhu Meng, Zhaofeng Chen, Laihang Yu, Hongwei Zhang

Neurocomputing, 2017

Music Genre Classification with Paralleling Recurrent Convolutional Neural Network.

Lin Feng, Sheng-lan Liu, Jianing Yao

CoRR, 2017

Hand Gesture Recognition with Leap Motion.

Youchen Du, Shenglan Liu, Lin Feng, Menghui Chen, Jie Wu

CoRR, 2017

Rough extreme learning machine: a new classification method based on uncertainty measure.

Shuliang Xu, Lin Feng, Feilong Wang, Shenglan Liu

CoRR, 2017

Neural method for Explicit Mapping of Quasi-curvature Locally Linear Embedding in image retrieval.

Sheng-lan Liu, Jun Wu, Lin Feng, Feilong Wang

CoRR, 2017

Concept drift detection for data stream learning based on angle optimized global embedding and principal component analysis in sensor networks.

Shenglan Liu, Lin Feng, Jun Wu, Gang Hou, Guangjie Han

Comput. Electr. Eng., 2017

A Transferable Framework: Classification and Visualization of MOOC Discussion Threads.

Lin Feng, Guochao Liu, Sen Luo, Shenglan Liu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Hashing Based State Variation for Human Motion Segmentation.

Yang Liu, Lin Feng, Muxin Sun, Shenglan Liu

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016

Semantic Discriminative Metric Learning for Image Similarity Measurement.

Huibing Wang, Lin Feng, Jing Zhang, Yang Liu

IEEE Trans. Multim., 2016

Metric learning with geometric mean for similarities measurement.

Huibing Wang, Lin Feng, Yang Liu

Soft Comput., 2016

Local extreme learning machine: local classification model for shape feature extraction.

Jing Zhang, Lin Feng, Bin Wu

Neural Comput. Appl., 2016

Extend semi-supervised ELM and a frame work.

Sheng-lan Liu, Lin Feng, Huibing Wang, Yao Xiao

Neural Comput. Appl., 2016

Fusion framework for color image retrieval based on bag-of-words model and color local Haar binary patterns.

Li Li, Lin Feng, Laihang Yu, Jun Wu, Sheng-lan Liu

J. Electronic Imaging, 2016

Multi-view Sparsity Preserving Projection for dimension reduction.

Huibing Wang, Lin Feng, Laihang Yu, Jing Zhang

Neurocomputing, 2016

Perceptual uniform descriptor and Ranking on manifold: A bridge between image representation and ranking for image retrieval.

Shenglan Liu, Jun Wu, Lin Feng, Yang Liu, Hong Qiao, Wenbo Luo, Muxin Sun, Wei Wang

CoRR, 2016

Three Tiers Neighborhood Graph and Multi-graph Fusion Ranking for Multi-feature Image Retrieval: A Manifold Aspect.

Shenglan Liu, Muxin Sun, Lin Feng, Yang Liu, Jun Wu

CoRR, 2016

A Novel Multi-Feature Representation of Images for Heterogeneous IoTs.

Laihang Yu, Lin Feng, Chen Chen, Tie Qiu, Li Li, Jun Wu

IEEE Access, 2016

A Convolutional Neural Network Model for Online Medical Guidance.

Cuili Yao, Yue Qu, Bo Jin, Li Guo, Chao Li, Wenjuan Cui, Lin Feng

IEEE Access, 2016

An Efficient Tree-Based Self-Organizing Protocol for Internet of Things.

Tie Qiu, Xize Liu, Lin Feng, Yu Zhou, Kaiyu Zheng

IEEE Access, 2016

2015

Scatter Balance: An Angle-Based Supervised Dimensionality Reduction.

Sheng-lan Liu, Lin Feng, Hong Qiao

IEEE Trans. Neural Networks Learn. Syst., 2015

Global Correlation Descriptor: A novel image representation for image retrieval.

Lin Feng, Jun Wu, Sheng-lan Liu, Hongwei Zhang

J. Vis. Commun. Image Represent., 2015

Locality Structured Sparsity Preserving Embedding.

Lin Feng, Huibing Wang, Sheng-lan Liu, Hongwei Zhang

Int. J. Pattern Recognit. Artif. Intell., 2015

A novel CBIR system with WLLTSA and ULRGA.

Lin Feng, Sheng-lan Liu, Yao Xiao, Qiao Hong, Bin Wu

Neurocomputing, 2015

An Energy-Efficient Self-Organization Routing Strategy in Tree Networks.

Lin Feng, Yu Zhou, Tie Qiu

EAI Endorsed Trans. Energy Web, 2015

2014

UDS-FIM: An Efficient Algorithm of Frequent Itemsets Mining over Uncertain Transaction Data Streams.

Le Wang, Lin Feng, Mingfei Wu

J. Softw., 2014

Robust activation function and its application: Semi-supervised kernel extreme learning method.

Sheng-lan Liu, Lin Feng, Yao Xiao, Huibing Wang

Neurocomputing, 2014

Sliding Window-based Frequent Itemsets Mining over Data Streams using Tail Pointer Table.

Le Wang, Lin Feng, Bo Jin

Int. J. Comput. Intell. Syst., 2014

A coverage strategy for wireless sensor networks in a three-dimensional environment.

Lin Feng, Tie Qiu, Zhenlong Sun, Feng Xia, Yu Zhou

Int. J. Ad Hoc Ubiquitous Comput., 2014

2013

AT-Mine: An Efficient Algorithm of Frequent Itemset Mining on Uncertain Dataset.

Le Wang, Lin Feng, Mingfei Wu

J. Comput., 2013

Maximal Similarity Embedding.

Lin Feng, Sheng-lan Liu, Zhen-Yu Wu, Bo Jin

Neurocomputing, 2013

UT-Tree: Efficient mining of high utility itemsets from data streams.

Lin Feng, Le Wang, Bo Jin

Intell. Data Anal., 2013

A Localization Strategy Based on N-times Trilateral Centroid with Weight.

Tie Qiu, Yu Zhou, Feng Xia, Naigao Jin, Lin Feng

CoRR, 2013

Queueing model analysis and scheduling strategy for embedded multi-core SoC based on task priority.

Tie Qiu, Lin Feng, He Jiang, Weifeng Sun

Comput. Electr. Eng., 2013

Genetic Algorithm-Based 3D Coverage Research in Wireless Sensor Networks.

Lin Feng, Zhenlong Sun, Tie Qiu

Proceedings of the Seventh International Conference on Complex, 2013

2012

A localization strategy based on <i>n</i>-times trilateral centroid with weight.

Tie Qiu, Yu Zhou, Feng Xia, Naigao Jin, Lin Feng

Int. J. Commun. Syst., 2012

2011

A packet buffer evaluation method exploiting queueing theory for wireless sensor networks.

Tie Qiu, Lin Feng, Feng Xia, Guowei Wu, Yu Zhou

Comput. Sci. Inf. Syst., 2011

2010

Research on Maximal Frequent Pattern Outlier Factor for Online High-Dimensional Time-Series Outlier Detection.

Lin Feng, Le Wang, Bo Jin

J. Convergence Inf. Technol., 2010

Improving the index structure with hierarchical techniques in time-series databases.

Tao Sun, Junwei Liu, Lin Feng

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

A similarity measure of Jumping Dynamic Time Warping.

Lin Feng, Xiaoyan Zhao, Yiwei Liu, Yuan Yao, Bo Jin

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2006

An Ontology Solution for Government Horizon Business Integration in Multi-agent Settings.

Lin Feng, Dingming Guo, Tao Sun

Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

2004

A Cellular Automata Model for a Learning Process.

Ming-Feng He, Cheng-Rui Deng, Lin Feng, Bo-Wen Tian

Adv. Complex Syst., 2004