Lin Feng - RankMe

160 papers A 2B 3Misc 4Journal 131Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A dual-branch multiscale model based on Bi-Mamba for EEG emotion recognition. Biomed. Signal Process. Control. Lin Feng, Yongzhen Huo, Yuqiu Kong, Cheng Cheng
2026	J	`jnl`	GMSR: Gradient-integrated mamba for spectral reconstruction from RGB images. Neural Networks Xinying Wang, Zhixiong Huang, Sifan Zhang, Jiawen Zhu, Paolo Gamba, Lin Feng
2025	J	`jnl`	A Cross-Modal Adaptive Masked Autoencoder for Decoding Emotions With Multimodal Data. IEEE Trans. Comput. Soc. Syst. Cheng Cheng, WenZhe Liu, Yong Zhang, Lin Feng, Ziyu Jia
2025	—	`conf`	Bridging the Point to Boundary Gap for Point-Supervised Temporal Action Localization with Single-Stage Inference. PRCV (7) Junshi Yang, Shenglan Liu, Xuhan Sheng, Gang Yan, Yiheng Zhou, Lin Feng, Jiajun Fan
2025	Misc	`conf`	Cluster-Refined Optimal Transport for Unsupervised Action Segmentation. ICASSP Shijie Wang, Jinrong Zhang, Yule Liu, Shiyao Li, Lin Feng
2025	J	`jnl`	DCR-SRNet: A Degradation-Contrastive and Wavelet-Guided Network for Blind Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. Yining Wang, Shaodong Zhang, Zhixiong Huang, Xinying Wang, Shenglan Liu, Lin Feng
2025	J	`jnl`	DISD-Net: A Dynamic Interactive Network With Self-Distillation for Cross-Subject Multi-Modal Emotion Recognition. IEEE Trans. Multim. Cheng Cheng, WenZhe Liu, Xinying Wang, Lin Feng, Ziyu Jia
2025	J	`jnl`	End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Jin-Rong Zhang, Wujun Wen, Shen-lan Liu, Gao Huang, Yun-Heng Li, Qifeng Li, Lin Feng
2025	A	`conf`	Flexible Streaming Temporal Action Segmentation with Diffusion Models. ICME Jinrong Zhang, Wenjun Wen, Shenglan Liu, Sifan Zhang, Yuning Ding, Lin Feng
2025	J	`jnl`	Lightweight Edge-Guided Super-Resolution Network for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Yining Wang, Zhixiong Huang, Xinying Wang, Shaodong Zhang, Shenglan Liu, Lin Feng
2025	J	`jnl`	Masked Autoencoder-Based Knowledge Transfer for Spectral Reconstruction From RGB Images. IEEE Trans. Computational Imaging Lin Feng, Xinying Wang, Zhixiong Huang, Yining Wang, Jiawen Zhu, Paolo Gamba
2025	J	`jnl`	S3-Net: Learning spectral-spatio self-similarity for hyperspectral image super-resolution. Neural Networks Xinying Wang, Zhixiong Huang, Jiawen Zhu, XiangHai Wang, Lin Feng
2025	J	`jnl`	Underwater variable zoom: Depth-guided perception network for underwater image enhancement. Expert Syst. Appl. Zhixiong Huang, Xinying Wang, Chengpei Xu, Jinjiang Li, Lin Feng
2025	J	`jnl`	WFA-SRNet: A Wavelet-Guided and Feature-Aware Network for Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. Yining Wang, Xinying Wang, Shaodong Zhang, Zhixiong Huang, Shenglan Liu, Lin Feng
2024	J	`jnl`	A Primary task driven adaptive loss function for multi-task speech emotion recognition. Eng. Appl. Artif. Intell. Lu-Yao Liu, WenZhe Liu, Lin Feng
2024	J	`jnl`	A Unified Framework Based on Graph Consensus Term for Multiview Learning. IEEE Trans. Neural Networks Learn. Syst. Xiangzhu Meng, Lin Feng, Chonghui Guo, Huibing Wang, Shu Wu
2024	J	`jnl`	A novel transformer autoencoder for multi-modal emotion recognition with incomplete data. Neural Networks Cheng Cheng, WenZhe Liu, Zhaoxin Fan, Lin Feng, Ziyu Jia
2024	J	`jnl`	Dense Graph Convolutional With Joint Cross-Attention Network for Multimodal Emotion Recognition. IEEE Trans. Comput. Soc. Syst. Cheng Cheng, WenZhe Liu, Lin Feng, Ziyu Jia
2024	J	`jnl`	Emotion recognition using hierarchical spatial-temporal learning transformer from regional to global brain. Neural Networks Cheng Cheng, WenZhe Liu, Lin Feng, Ziyu Jia
2024	J	`jnl`	GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB Images. CoRR Xinying Wang, Zhixiong Huang, Sifan Zhang, Jiawen Zhu, Lin Feng
2024	J	`jnl`	Hybrid Network Using Dynamic Graph Convolution and Temporal Self-Attention for EEG-Based Emotion Recognition. IEEE Trans. Neural Networks Learn. Syst. Cheng Cheng, Zikang Yu, Yong Zhang, Lin Feng
2024	J	`jnl`	Involving Distinguished Temporal Graph Convolutional Networks for Skeleton-Based Temporal Action Segmentation. IEEE Trans. Circuits Syst. Video Technol. Yun-Heng Li, Kai-Yuan Liu, Shenglan Liu, Lin Feng, Hong Qiao
2024	A	`conf`	Two-Step Temporal Divisive Clustering for Unsupervised Action Segmentation. ICME Yule Liu, Zhuben Dong, Shenglan Liu, Wujun Wen, Lin Feng
2024	J	`jnl`	Underwater Variable Zoom: Depth-Guided Perception Network for Underwater Image Enhancement. CoRR Zhixiong Huang, Xinying Wang, Jinjiang Li, Shenglan Liu, Lin Feng
2024	J	`jnl`	Underwater image enhancement via cross-wise transformer network focusing on pre-post differences. Appl. Soft Comput. Zhixiong Huang, Jinjiang Li, Xinying Wang, Zhen Hua, Shenglan Liu, Lin Feng
2023	J	`jnl`	A Data-Driven State Estimation Framework for Natural Gas Networks With Measurement Noise. IEEE Access Yan Huang, Lin Feng, Yang Liu
2023	B	`conf`	Action Reinforcement and Indication Module for Single-frame Temporal Action Localization. IJCNN Zikang Yu, Cheng Cheng, Wujun Wen, Wenxuan Guo, Lin Feng
2023	J	`jnl`	End-to-End Streaming Video Temporal Action Segmentation with Reinforce Learning. CoRR Wujun Wen, Jinrong Zhang, Shenglan Liu, Yunheng Li, Qifeng Li, Lin Feng
2023	J	`jnl`	Enhanced tensor multi-view clustering via dual constraints. Eng. Appl. Artif. Intell. WenZhe Liu, Luyao Liu, Yong Zhang, Lin Feng
2023	Misc	`conf`	FBI-TAL: Foreground-Background Integration for Single-Frame Supervised Temporal Action Localization. ISKE Yifeng Dong, Guangsheng Li, Feilong Wang, Wujun Wen, Xuehai Xu, Lin Feng
2023	J	`jnl`	Interval State Estimation of Electricity-Gas Systems Considering Uncertainties of Network Parameters and Measurements. IEEE Trans. Instrum. Meas. Yan Huang, Lin Feng
2023	J	`jnl`	Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition. IEEE J. Biomed. Health Informatics Cheng Cheng, Yong Zhang, Luyao Liu, WenZhe Liu, Lin Feng
2023	J	`jnl`	Multimodal speech emotion recognition based on multi-scale MFCCs and multi-view attention mechanism. Multim. Tools Appl. Lin Feng, Lu-Yao Liu, Shenglan Liu, Jian Zhou, Han-Qing Yang, Jie Yang
2023	J	`jnl`	OPM Inf. Sci. Huiyuan Deng, Xiangzhu Meng, Huibing Wang, Lin Feng
2023	J	`jnl`	SDTF-Net: Static and dynamic time-frequency network for Speech Emotion Recognition. Speech Commun. Lu-Yao Liu, WenZhe Liu, Lin Feng
2023	J	`jnl`	SS-INR: Spatial-Spectral Implicit Neural Representation Network for Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. Xinying Wang, Cheng Cheng, Shenglan Liu, Ruoxi Song, Xiang-Hai Wang, Lin Feng
2023	Misc	`conf`	Streaming Video Temporal Action Segmentation in Real Time. ISKE Wujun Wen, Yunheng Li, Zhuben Dong, Lin Feng, Wanxiao Yang, Shen-lan Liu
2023	B	`conf`	Towards Spatio-temporal Collaborative Learning: An End-to-End Deepfake Video Detection Framework. IJCNN Wenxuan Guo, Shuo Du, Huiyuan Deng, Zikang Yu, Lin Feng
2023	J	`jnl`	UNIT: A unified metric learning framework based on maximum entropy regularization. Appl. Intell. Huiyuan Deng, Xiangzhu Meng, Fengxia Deng, Lin Feng
2022	J	`jnl`	ATDA: Attentional temporal dynamic activation for speech emotion recognition. Knowl. Based Syst. Lu-Yao Liu, WenZhe Liu, Jian Zhou, Huiyuan Deng, Lin Feng
2022	J	`jnl`	Adaptive multi-view multiple-means clustering via subspace reconstruction. Eng. Appl. Artif. Intell. WenZhe Liu, Luyao Liu, Yong Zhang, Huibing Wang, Lin Feng
2022	—	`conf`	Background Suppressed and Motion Enhanced Network for Weakly Supervised Video Anomaly Detection. PRCV (3) Yang Liu, Wanxiao Yang, Hangyou Yu, Lin Feng, Yuqiu Kong, Shenglan Liu
2022	J	`jnl`	Double cross-modality progressively guided network for RGB-D salient object detection. Image Vis. Comput. Cuili Yao, Lin Feng, Yuqiu Kong, Shengming Li, Hang Li
2022	J	`jnl`	EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism. IEEE J. Biomed. Health Informatics Lin Feng, Cheng Cheng, Mingyan Zhao, Huiyuan Deng, Yong Zhang
2022	J	`jnl`	Hierarchical multi-view metric learning with HSIC regularization. Neurocomputing Huiyuan Deng, Xiangzhu Meng, Huibing Wang, Lin Feng
2022	J	`jnl`	Hybrid Convolutional-Transformer framework for drone-based few-shot weakly supervised object detection. Comput. Electr. Eng. Shengming Li, Linsong Xue, Lin Feng, Cuili Yao, Dong Wang
2022	J	`jnl`	Multimodal-aware weakly supervised metric learning with self-weighting triplet loss. Multim. Tools Appl. Huiyuan Deng, Xiangzhu Meng, Lin Feng
2022	J	`jnl`	Object detection network pruning with multi-task information fusion. World Wide Web Shengming Li, Linsong Xue, Lin Feng, Yifan Wang, Dong Wang
2022	J	`jnl`	Streaming Video Temporal Action Segmentation In Real Time. CoRR Wujun Wen, Yunheng Li, Zhuben Dong, Lin Feng, Wanxiao Yang, Shen-lan Liu
2022	B	`conf`	Tensorized Multi-view Clustering via Hyper-graph Regularization. IJCNN WenZhe Liu, Luyao Liu, Lin Feng, Huiyuan Deng
2021	—	`conf`	A Lightweight Multidimensional Self-attention Network for Fine-Grained Action Recognition. ICONIP (2) Hao Liu, Shenglan Liu, Lin Feng, Lianyu Hu, Xiang Li, Heyu Fu
2021	J	`jnl`	A unified framework based on graph consensus term for multi-view learning. CoRR Xiangzhu Meng, Lin Feng, Chonghui Guo
2021	J	`jnl`	An Ensemble Learning Method for Robot Electronic Nose with Active Perception. Sensors Shengming Li, Lin Feng, Yunfei Ge, Li Zhu, Liang Zhao
2021	J	`jnl`	Bi-DAINet: Bi-Directional Discard-Accept-Integrate Network for salient object detection. Neurocomputing Cuili Yao, Lin Feng, Yuqiu Kong, Bo Jin, Yiwei Liu, Leheng Li
2021	J	`jnl`	Bottom-up broadcast neural network for music genre classification. Multim. Tools Appl. Caifeng Liu, Lin Feng, Guochao Liu, Huibing Wang, Shenglan Liu
2021	J	`jnl`	Deep graph convolution neural network with non-negative matrix factorization for community discovery. CoRR Shuliang Xu, Shenglan Liu, Lin Feng
2021	J	`jnl`	Efficient Two-Step Networks for Temporal Action Segmentation. Neurocomputing Yunheng Li, Zhuben Dong, Kaiyuan Liu, Lin Feng, Lianyu Hu, Jie Zhu, Li Xu, Yuhan Wang, Shenglan Liu
2021	J	`jnl`	Multi-view Low-rank Preserving Embedding: A novel method for multi-view representation. Eng. Appl. Artif. Intell. Xiangzhu Meng, Lin Feng, Huibing Wang
2021	J	`jnl`	Multimodal-Aware Weakly Supervised Metric Learning with Self-weighting Triplet Loss. CoRR Huiyuan Deng, Xiangzhu Meng, Lin Feng
2021	J	`jnl`	Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization. Neurocomputing Lin Feng, WenZhe Liu, Xiangzhu Meng, Yong Zhang
2021	J	`jnl`	Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery. CoRR Shuliang Xu, Shenglan Liu, Lin Feng
2021	J	`jnl`	Social Neighborhood Graph and Multigraph Fusion Ranking for Multifeature Image Retrieval. IEEE Trans. Neural Networks Learn. Syst. Shenglan Liu, Muxin Sun, Lin Feng, Hong Qiao, Shuyuan Chen, Yang Liu
2021	—	`conf`	Spatial-Temporal Attention Network with Multi-similarity Loss for Fine-Grained Skeleton-Based Action Recognition. ICONIP (2) Xiang Li, Shenglan Liu, Yunheng Li, Hao Liu, Jinjing Zhao, Lin Feng, Guihong Lao, Guangzhe Li
2021	J	`jnl`	Three Degree Binary Graph and Shortest Edge Clustering for re-ranking in multi-feature image retrieval. J. Vis. Commun. Image Represent. Guihong Lao, Shenglan Liu, Chenwei Tan, Yang Wang, Guangzhe Li, Li Xu, Lin Feng, Feilong Wang
2021	—	`conf`	Weighted P-Rank: a Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network. ICONIP (1) Jian Zhou, Shenglan Liu, Lin Feng, Jie Yang, Ning Cai
2020	—	`conf`	A Discriminative STGCN for Skeleton Oriented Action Recognition. ICONIP (5) Lin Feng, Qing Yuan, Yang Liu, Qianxin Huang, Shenglan Liu, Yingping Li
2020	J	`jnl`	An incrementally cascaded broad learning framework to facial landmark tracking. Neurocomputing Caifeng Liu, Lin Feng, Shuai Guo, Huibing Wang, Shenglan Liu, Hong Qiao
2020	J	`jnl`	Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score. Scientometrics Lin Feng, Jian Zhou, Shenglan Liu, Ning Cai, Jie Yang
2020	—	`conf`	Bionic Vision Descriptor for Image Retrieval. ICONIP (1) Guangzhe Li, Shenglan Liu, Feilong Wang, Lin Feng
2020	J	`jnl`	Cascade regression based on extreme learning machine for face alignment. J. Electronic Imaging Caifeng Liu, Lin Feng, Huibing Wang, Shenglan Liu, Kaiyuan Liu
2020	J	`jnl`	Contour-Aware Recurrent Cross Constraint Network for Salient Object Detection. IEEE Access Cuili Yao, Yuqiu Kong, Lin Feng, Bo Jin, Hui Si
2020	J	`jnl`	Correction to: Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score. Scientometrics Lin Feng, Jian Zhou, Shenglan Liu, Ning Cai, Jie Yang
2020	J	`jnl`	Deep attention based music genre classification. Neurocomputing Yang Yu, Sen Luo, Shenglan Liu, Hong Qiao, Yang Liu, Lin Feng
2020	J	`jnl`	FSD-10: A Dataset for Competitive Sports Content Analysis. CoRR Shenglan Liu, Xiang Liu, Gao Huang, Lin Feng, Lianyu Hu, Dong Jiang, Aibin Zhang, Yang Liu, Hong Qiao
2020	J	`jnl`	Fuzzy granularity neighborhood extreme clustering. Neurocomputing Shuliang Xu, Shenglan Liu, Lin Feng
2020	—	`conf`	HFNet: A Novel Model for Human Focused Sports Action Recognition. MMSports@MM Lianyu Hu, Lin Feng, Shenglan Liu
2020	J	`jnl`	Manifold graph embedding with structure information propagation for community discovery. Knowl. Based Syst. Shuliang Xu, Shenglan Liu, Lin Feng
2020	J	`jnl`	Modeling and Simulation Analysis of Journal Impact Factor Dynamics Based on Submission and Citation Rules. Complex. Jian Zhou, Lin Feng, Ning Cai, Jie Yang
2020	J	`jnl`	Multi-feature weighting neighborhood density clustering. Neural Comput. Appl. Shuliang Xu, Lin Feng, Shenglan Liu, Jian Zhou, Hong Qiao
2020	J	`jnl`	Multi-view Locality Low-rank Embedding for Dimension Reduction. Knowl. Based Syst. Lin Feng, Xiangzhu Meng, Huibing Wang
2020	J	`jnl`	Multi-view Low-rank Preserving Embedding: A Novel Method for Multi-view Representation. CoRR Xiangzhu Meng, Lin Feng, Huibing Wang
2020	J	`jnl`	Multi-view reconstructive preserving embedding for dimension reduction. Soft Comput. Huibing Wang, Lin Feng, Adong Kong, Bo Jin
2020	J	`jnl`	Parallel Recurrent Convolutional Neural Networks-Based Music Genre Classification Method for Mobile Devices. IEEE Access Rui Yang, Lin Feng, Huibing Wang, Jianing Yao, Sen Luo
2020	—	`conf`	Scatter Balance based Semi-supervised Dimensional Reduction. SmartIoT Rui Yang, Xiangzhu Meng, Lin Feng
2020	J	`jnl`	Self-adaption neighborhood density clustering method for mixed data stream with concept drift. Eng. Appl. Artif. Intell. Shuliang Xu, Lin Feng, Shenglan Liu, Hong Qiao
2020	—	`conf`	Skeleton-Based Action Recognition with Dense Spatial Temporal Graph Network. ICONIP (5) Lin Feng, Zhenning Lu, Shenglan Liu, Dong Jiang, Yang Liu, Lianyu Hu
2020	J	`jnl`	The similarity-consensus regularized multi-view learning for dimension reduction. Knowl. Based Syst. Xiangzhu Meng, Huibing Wang, Lin Feng
2019	—	`conf`	A Fast Online Cascaded Regression Algorithm for Face Alignment. SmartIoT Lin Feng, Caifeng Liu, Shenglan Liu, Huibing Wang
2019	—	`conf`	A Greedy Multiple Fixed Node Networking Algorithm for Indoor Environmental Monitoring Scenarios. SmartIoT Shengming Li, Wenqiang Xu, Lin Feng, Tie Qiu
2019	J	`jnl`	A fast online cascaded regression algorithm for face alignment. CoRR Lin Feng, Caifeng Liu, Shenglan Liu, Huibing Wang
2019	J	`jnl`	An ELM based local topology preserving hashing. Int. J. Mach. Learn. Cybern. Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun
2019	J	`jnl`	Bottom-up Broadcast Neural Network For Music Genre Classification. CoRR Caifeng Liu, Lin Feng, Guochao Liu, Huibing Wang, Shenglan Liu
2019	—	`conf`	Color Recognition for Rubik's Cube Robot. SmartIoT Lin Feng, Dong Jiang, Aibin Zhang, Shenglan Liu, Feilong Wang, Yang Liu
2019	J	`jnl`	Color Recognition for Rubik's Cube Robot. CoRR Shenglan Liu, Dong Jiang, Lin Feng, Feilong Wang, Zhanbo Feng, Xiang Liu, Shuai Guo, Bingjun Li, Yuchen Cong
2019	J	`jnl`	Face Alignment via Multi-Regressors Collaborative Optimization. IEEE Access Caifeng Liu, Lin Feng, Huibing Wang, Bin Wu
2019	J	`jnl`	Fuzzy rough clustering for categorical data. Int. J. Mach. Learn. Cybern. Shuliang Xu, Shenglan Liu, Jian Zhou, Lin Feng
2019	J	`jnl`	Hierarchic Neighbors Embedding. CoRR Shenglan Liu, Yang Yu, Yang Liu, Hong Qiao, Lin Feng, Jiashi Feng
2019	J	`jnl`	Learning a Distance Metric by Balancing KL-Divergence for Imbalanced Datasets. IEEE Trans. Syst. Man Cybern. Syst. Lin Feng, Huibing Wang, Bo Jin, Haohao Li, Mingliang Xue, Le Wang
2019	J	`jnl`	Multi-view Locality Low-rank Embedding for Dimension Reduction. CoRR Lin Feng, Xiangzhu Meng, Huibing Wang
2019	J	`jnl`	Multi-view laplacian least squares for human emotion recognition. Neurocomputing Shuai Guo, Lin Feng, Zhanbo Feng, Yi-Hao Li, Yang Wang, Shenglan Liu, Hong Qiao
2019	—	`conf`	Neighborhood Graph Embedding for Nodes Clustering of Social Network. HPCC/SmartCity/DSS Shuliang Xu, Shenglan Liu, Lin Feng
2019	J	`jnl`	Rough extreme learning machine: A new classification method based on uncertainty measure. Neurocomputing Lin Feng, Shuliang Xu, Feilong Wang, Shenglan Liu, Hong Qiao
2019	J	`jnl`	The Similarity-Consensus Regularized Multi-view Learning for Dimension Reduction. CoRR Xiangzhu Meng, Huibing Wang, Lin Feng
2018	J	`jnl`	An Ensemble Extreme Learning Machine for Data Stream Classification. Algorithms Rui Yang, Shuliang Xu, Lin Feng
2018	—	`conf`	Automatic Feature Learning for MOOC Forum Thread Classification. ICBDC Lin Feng, Huimin Lu, Shenglan Liu, Guochao Liu, Sen Luo
2018	J	`jnl`	Global similarity preserving hashing. Soft Comput. Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun
2018	J	`jnl`	Manifold Warp Segmentation of Human Action. IEEE Trans. Neural Networks Learn. Syst. Shenglan Liu, Lin Feng, Yang Liu, Hong Qiao, Jun Wu, Wei Wang
2018	J	`jnl`	Multi-trend binary code descriptor: a novel local texture feature descriptor for image retrieval. Signal Image Video Process. Laihang Yu, Lin Feng, Huibing Wang, Li Li, Yang Liu, Shenglan Liu
2018	J	`jnl`	Multi-view Reconstructive Preserving Embedding for Dimension Reduction. CoRR Huibing Wang, Lin Feng, Adong Kong, Bo Jin
2018	J	`jnl`	Perceptual Visual Interactive Learning. CoRR Shenglan Liu, Xiang Liu, Yang Liu, Lin Feng, Hong Qiao, Jian Zhou, Yang Wang
2018	J	`jnl`	Perceptual uniform descriptor and ranking on manifold for image retrieval. Inf. Sci. Shenglan Liu, Jun Wu, Lin Feng, Hong Qiao, Yang Liu, Wenbo Luo, Wei Wang
2018	J	`jnl`	Quasi-curvature Local Linear Projection and Extreme Learning Machine for nonlinear dimensionality reduction. Neurocomputing Shenglan Liu, Jun Wu, Lin Feng, Sen Luo, Deqin Yan
2018	J	`jnl`	Sensor Network Oriented Human Motion Segmentation With Motion Change Measurement. IEEE Access Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun
2017	—	`conf`	A Transferable Framework: Classification and Visualization of MOOC Discussion Threads. ICONIP (4) Lin Feng, Guochao Liu, Sen Luo, Shenglan Liu
2017	J	`jnl`	A novel target tracking method based on OSELM. Multidimens. Syst. Signal Process. Jing Zhang, Lin Feng, Laihang Yu
2017	J	`jnl`	Concept drift detection for data stream learning based on angle optimized global embedding and principal component analysis in sensor networks. Comput. Electr. Eng. Shenglan Liu, Lin Feng, Jun Wu, Gang Hou, Guangjie Han
2017	J	`jnl`	Hand Gesture Recognition with Leap Motion. CoRR Youchen Du, Shenglan Liu, Lin Feng, Menghui Chen, Jie Wu
2017	—	`conf`	Hashing Based State Variation for Human Motion Segmentation. CCCV (3) Yang Liu, Lin Feng, Muxin Sun, Shenglan Liu
2017	J	`jnl`	Image retrieval framework based on texton uniform descriptor and modified manifold ranking. J. Vis. Commun. Image Represent. Jun Wu, Lin Feng, Shenglan Liu, Muxin Sun
2017	J	`jnl`	Multi-view metric learning based on KL-divergence for similarity measurement. Neurocomputing Huibing Wang, Lin Feng, Xiangzhu Meng, Zhaofeng Chen, Laihang Yu, Hongwei Zhang
2017	J	`jnl`	Multi-view spectral clustering via robust local subspace learning. Soft Comput. Lin Feng, Lei Cai, Yang Liu, Shenglan Liu
2017	J	`jnl`	Music Genre Classification with Paralleling Recurrent Convolutional Neural Network. CoRR Lin Feng, Shenglan Liu, Jianing Yao
2017	J	`jnl`	Neural method for Explicit Mapping of Quasi-curvature Locally Linear Embedding in image retrieval. CoRR Shenglan Liu, Jun Wu, Lin Feng, Feilong Wang
2017	J	`jnl`	Robust discriminative extreme learning machine for relevance feedback in image retrieval. Multidimens. Syst. Signal Process. Shenglan Liu, Lin Feng, Yang Liu, Jun Wu, Muxin Sun, Wei Wang
2017	J	`jnl`	Rough extreme learning machine: a new classification method based on uncertainty measure. CoRR Shuliang Xu, Lin Feng, Feilong Wang, Shenglan Liu
2017	J	`jnl`	Spectral embedding-based multiview features fusion for content-based image retrieval. J. Electronic Imaging Lin Feng, Laihang Yu, Hai Zhu
2016	J	`jnl`	A Convolutional Neural Network Model for Online Medical Guidance. IEEE Access Cuili Yao, Yue Qu, Bo Jin, Li Guo, Chao Li, Wenjuan Cui, Lin Feng
2016	J	`jnl`	A Novel Multi-Feature Representation of Images for Heterogeneous IoTs. IEEE Access Laihang Yu, Lin Feng, Chen Chen, Tie Qiu, Li Li, Jun Wu
2016	J	`jnl`	An Efficient Tree-Based Self-Organizing Protocol for Internet of Things. IEEE Access Tie Qiu, Xize Liu, Lin Feng, Yu Zhou, Kaiyu Zheng
2016	J	`jnl`	Extend semi-supervised ELM and a frame work. Neural Comput. Appl. Shenglan Liu, Lin Feng, Huibing Wang, Yao Xiao
2016	J	`jnl`	Fusion framework for color image retrieval based on bag-of-words model and color local Haar binary patterns. J. Electronic Imaging Li Li, Lin Feng, Laihang Yu, Jun Wu, Shenglan Liu
2016	J	`jnl`	Local extreme learning machine: local classification model for shape feature extraction. Neural Comput. Appl. Jing Zhang, Lin Feng, Bin Wu
2016	J	`jnl`	Metric learning with geometric mean for similarities measurement. Soft Comput. Huibing Wang, Lin Feng, Yang Liu
2016	J	`jnl`	Multi-view Sparsity Preserving Projection for dimension reduction. Neurocomputing Huibing Wang, Lin Feng, Laihang Yu, Jing Zhang
2016	J	`jnl`	Perceptual uniform descriptor and Ranking on manifold: A bridge between image representation and ranking for image retrieval. CoRR Shenglan Liu, Jun Wu, Lin Feng, Yang Liu, Hong Qiao, Wenbo Luo, Muxin Sun, Wei Wang
2016	J	`jnl`	Semantic Discriminative Metric Learning for Image Similarity Measurement. IEEE Trans. Multim. Huibing Wang, Lin Feng, Jing Zhang, Yang Liu
2016	J	`jnl`	Three Tiers Neighborhood Graph and Multi-graph Fusion Ranking for Multi-feature Image Retrieval: A Manifold Aspect. CoRR Shenglan Liu, Muxin Sun, Lin Feng, Yang Liu, Jun Wu
2015	J	`jnl`	A novel CBIR system with WLLTSA and ULRGA. Neurocomputing Lin Feng, Shenglan Liu, Yao Xiao, Qiao Hong, Bin Wu
2015	J	`jnl`	An Energy-Efficient Self-Organization Routing Strategy in Tree Networks. EAI Endorsed Trans. Energy Web Lin Feng, Yu Zhou, Tie Qiu
2015	J	`jnl`	Global Correlation Descriptor: A novel image representation for image retrieval. J. Vis. Commun. Image Represent. Lin Feng, Jun Wu, Shenglan Liu, Hongwei Zhang
2015	J	`jnl`	Locality Structured Sparsity Preserving Embedding. Int. J. Pattern Recognit. Artif. Intell. Lin Feng, Huibing Wang, Shenglan Liu, Hongwei Zhang
2015	J	`jnl`	Scatter Balance: An Angle-Based Supervised Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. Shenglan Liu, Lin Feng, Hong Qiao
2014	J	`jnl`	A coverage strategy for wireless sensor networks in a three-dimensional environment. Int. J. Ad Hoc Ubiquitous Comput. Lin Feng, Tie Qiu, Zhenlong Sun, Feng Xia, Yu Zhou
2014	J	`jnl`	Robust activation function and its application: Semi-supervised kernel extreme learning method. Neurocomputing Shenglan Liu, Lin Feng, Yao Xiao, Huibing Wang
2014	J	`jnl`	Sliding Window-based Frequent Itemsets Mining over Data Streams using Tail Pointer Table. Int. J. Comput. Intell. Syst. Le Wang, Lin Feng, Bo Jin
2014	J	`jnl`	UDS-FIM: An Efficient Algorithm of Frequent Itemsets Mining over Uncertain Transaction Data Streams. J. Softw. Le Wang, Lin Feng, Mingfei Wu
2013	J	`jnl`	A Coverage Strategy for Wireless Sensor Networks in a Three-dimensional Environment. CoRR Lin Feng, Tie Qiu, Zhenlong Sun, Feng Xia, Yu Zhou
2013	J	`jnl`	A Localization Strategy Based on N-times Trilateral Centroid with Weight. CoRR Tie Qiu, Yu Zhou, Feng Xia, Naigao Jin, Lin Feng
2013	J	`jnl`	AT-Mine: An Efficient Algorithm of Frequent Itemset Mining on Uncertain Dataset. J. Comput. Le Wang, Lin Feng, Mingfei Wu
2013	Misc	`conf`	Genetic Algorithm-Based 3D Coverage Research in Wireless Sensor Networks. CISIS Lin Feng, Zhenlong Sun, Tie Qiu
2013	J	`jnl`	Maximal Similarity Embedding. Neurocomputing Lin Feng, Shenglan Liu, Zhen-Yu Wu, Bo Jin
2013	J	`jnl`	Queueing model analysis and scheduling strategy for embedded multi-core SoC based on task priority. Comput. Electr. Eng. Tie Qiu, Lin Feng, He Jiang, Weifeng Sun
2013	J	`jnl`	UT-Tree: Efficient mining of high utility itemsets from data streams. Intell. Data Anal. Lin Feng, Le Wang, Bo Jin
2012	J	`jnl`	A localization strategy based on Int. J. Commun. Syst. Tie Qiu, Yu Zhou, Feng Xia, Naigao Jin, Lin Feng
2011	J	`jnl`	A packet buffer evaluation method exploiting queueing theory for wireless sensor networks. Comput. Sci. Inf. Syst. Tie Qiu, Lin Feng, Feng Xia, Guowei Wu, Yu Zhou
2010	—	`conf`	A similarity measure of Jumping Dynamic Time Warping. FSKD Lin Feng, Xiaoyan Zhao, Yiwei Liu, Yuan Yao, Bo Jin
2010	—	`conf`	Improving the index structure with hierarchical techniques in time-series databases. FSKD Tao Sun, Junwei Liu, Lin Feng
2010	J	`jnl`	Research on Maximal Frequent Pattern Outlier Factor for Online High-Dimensional Time-Series Outlier Detection. J. Convergence Inf. Technol. Lin Feng, Le Wang, Bo Jin
2006	—	`conf`	An Ontology Solution for Government Horizon Business Integration in Multi-agent Settings. IAT Workshops Lin Feng, Dingming Guo, Tao Sun
2004	J	`jnl`	A Cellular Automata Model for a Learning Process. Adv. Complex Syst. Ming-Feng He, Cheng-Rui Deng, Lin Feng, Bo-Wen Tian