An angle optimized global embedding algorithm. - Deqin Yan; Shenglan Liu 001 (FSKD, 2010)

Maximal Similarity Embedding. - Lin Feng 001; Shenglan Liu 001; Zhen-Yu Wu; Bo Jin 001 (Neurocomputing, 2013)

Robust activation function and its application: Semi-supervised kernel extreme learning method. - Shenglan Liu 001; Lin Feng 001; Yao Xiao; Huibing Wang (Neurocomputing, 2014)

Probability fuzzy SVM for image retrieval. - Deshan Liu; Deqin Yan; Yonghua Tang; Shenglan Liu 001 (FSKD, 2015)

A novel CBIR system with WLLTSA and ULRGA. - Lin Feng 001; Shenglan Liu 001; Yao Xiao; Qiao Hong; Bin Wu (Neurocomputing, 2015)

Locality Structured Sparsity Preserving Embedding. - Lin Feng 001; Huibing Wang; Shenglan Liu 001; Hongwei Zhang (Int. J. Pattern Recognit. Artif. Intell., 2015)

Global Correlation Descriptor: A novel image representation for image retrieval. - Lin Feng 001; Jun Wu 008; Shenglan Liu 001; Hongwei Zhang (J. Vis. Commun. Image Represent., 2015)

Scatter Balance: An Angle-Based Supervised Dimensionality Reduction. - Shenglan Liu 001; Lin Feng 001; Hong Qiao (IEEE Trans. Neural Networks Learn. Syst., 2015)

Three Tiers Neighborhood Graph and Multi-graph Fusion Ranking for Multi-feature Image Retrieval: A Manifold Aspect. - Shenglan Liu 001; Muxin Sun; Lin Feng 001; Yang Liu 066; Jun Wu 008 (CoRR, 2016)

Perceptual uniform descriptor and Ranking on manifold: A bridge between image representation and ranking for image retrieval. - Shenglan Liu 001; Jun Wu 008; Lin Feng 001; Yang Liu 066; Hong Qiao; Wenbo Luo; Muxin Sun; Wei Wang 036 (CoRR, 2016)

Fusion framework for color image retrieval based on bag-of-words model and color local Haar binary patterns. - Li Li 045; Lin Feng 001; Laihang Yu; Jun Wu 008; Shenglan Liu 001 (J. Electronic Imaging, 2016)

Extend semi-supervised ELM and a frame work. - Shenglan Liu 001; Lin Feng 001; Huibing Wang; Yao Xiao (Neural Comput. Appl., 2016)

Hashing Based State Variation for Human Motion Segmentation. - Yang Liu 066; Lin Feng 001; Muxin Sun; Shenglan Liu 001 (CCCV (3), 2017)

A Transferable Framework: Classification and Visualization of MOOC Discussion Threads. - Lin Feng 001; Guochao Liu; Sen Luo; Shenglan Liu 001 (ICONIP (4), 2017)

Concept drift detection for data stream learning based on angle optimized global embedding and principal component analysis in sensor networks. - Shenglan Liu 001; Lin Feng 001; Jun Wu 008; Gang Hou; Guangjie Han (Comput. Electr. Eng., 2017)

Feature Fusion using Extended Jaccard Graph and Stochastic Gradient Descent for Robot. - Shenglan Liu 001; Muxin Sun; Wei Wang 036; Feilong Wang (CoRR, 2017)

Neural method for Explicit Mapping of Quasi-curvature Locally Linear Embedding in image retrieval. - Shenglan Liu 001; Jun Wu 008; Lin Feng 001; Feilong Wang (CoRR, 2017)

Rough extreme learning machine: a new classification method based on uncertainty measure. - Shuliang Xu; Lin Feng 001; Feilong Wang; Shenglan Liu 001 (CoRR, 2017)

Hand Gesture Recognition with Leap Motion. - Youchen Du; Shenglan Liu 001; Lin Feng 001; Menghui Chen; Jie Wu (CoRR, 2017)

Music Genre Classification with Paralleling Recurrent Convolutional Neural Network. - Lin Feng 001; Shenglan Liu 001; Jianing Yao (CoRR, 2017)

Image retrieval framework based on texton uniform descriptor and modified manifold ranking. - Jun Wu 008; Lin Feng 001; Shenglan Liu 001; Muxin Sun (J. Vis. Commun. Image Represent., 2017)

Robust discriminative extreme learning machine for relevance feedback in image retrieval. - Shenglan Liu 001; Lin Feng 001; Yang Liu 066; Jun Wu 008; Muxin Sun; Wei Wang 036 (Multidimens. Syst. Signal Process., 2017)

Multi-view spectral clustering via robust local subspace learning. - Lin Feng 001; Lei Cai; Yang Liu 066; Shenglan Liu 001 (Soft Comput., 2017)

Automatic Feature Learning for MOOC Forum Thread Classification. - Lin Feng 001; Huimin Lu; Shenglan Liu 001; Guochao Liu; Sen Luo (ICBDC, 2018)

Sensor Network Oriented Human Motion Segmentation With Motion Change Measurement. - Yang Liu 066; Lin Feng 001; Shenglan Liu 001; Muxin Sun (IEEE Access, 2018)

Perceptual Visual Interactive Learning. - Shenglan Liu 001; Xiang Liu; Yang Liu 066; Lin Feng 001; Hong Qiao; Jian Zhou; Yang Wang (CoRR, 2018)

Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition. - Shenglan Liu 001; Shuai Guo 002; Hong Qiao; Yang Wang; Bin Wang; Wenbo Luo; Mingming Zhang 007; Keye Zhang; Bixuan Du (CoRR, 2018)

Quasi-curvature Local Linear Projection and Extreme Learning Machine for nonlinear dimensionality reduction. - Shenglan Liu 001; Jun Wu 008; Lin Feng 001; Sen Luo; Deqin Yan (Neurocomputing, 2018)

Perceptual uniform descriptor and ranking on manifold for image retrieval. - Shenglan Liu 001; Jun Wu 008; Lin Feng 001; Hong Qiao; Yang Liu 066; Wenbo Luo; Wei Wang 036 (Inf. Sci., 2018)

Multi-trend binary code descriptor: a novel local texture feature descriptor for image retrieval. - Laihang Yu; Lin Feng 001; Huibing Wang; Li Li 045; Yang Liu 066; Shenglan Liu 001 (Signal Image Video Process., 2018)

Global similarity preserving hashing. - Yang Liu 066; Lin Feng 001; Shenglan Liu 001; Muxin Sun (Soft Comput., 2018)

Manifold Warp Segmentation of Human Action. - Shenglan Liu 001; Lin Feng 001; Yang Liu 066; Hong Qiao; Jun Wu 008; Wei Wang 036 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Neighborhood Graph Embedding for Nodes Clustering of Social Network. - Shuliang Xu; Shenglan Liu 001; Lin Feng 001 (HPCC/SmartCity/DSS, 2019)

Neural Method for Explicit Mapping of Weighted Locally Linear Embedding in Image Retrieval. - Shenglan Liu 001; Xiang Liu; Yang Wang; Qing Yuan; Huihua Guan; Kaiyuan Liu (ISKE, 2019)

Color Recognition for Rubik's Cube Robot. - Lin Feng 001; Dong Jiang; Aibin Zhang; Shenglan Liu 001; Feilong Wang; Yang Liu 066 (SmartIoT, 2019)

A Fast Online Cascaded Regression Algorithm for Face Alignment. - Lin Feng 001; Caifeng Liu; Shenglan Liu 001; Huibing Wang (SmartIoT, 2019)

Color Recognition for Rubik's Cube Robot. - Shenglan Liu 001; Dong Jiang; Lin Feng 001; Feilong Wang; Zhanbo Feng; Xiang Liu; Shuai Guo 002; Bingjun Li; Yuchen Cong (CoRR, 2019)

Hierarchic Neighbors Embedding. - Shenglan Liu 001; Yang Yu; Yang Liu 066; Hong Qiao; Lin Feng 001; Jiashi Feng (CoRR, 2019)

Rough extreme learning machine: A new classification method based on uncertainty measure. - Lin Feng 001; Shuliang Xu; Feilong Wang; Shenglan Liu 001; Hong Qiao (Neurocomputing, 2019)

Multi-view laplacian least squares for human emotion recognition. - Shuai Guo 002; Lin Feng 001; Zhanbo Feng; Yi-Hao Li; Yang Wang; Shenglan Liu 001; Hong Qiao (Neurocomputing, 2019)

An ELM based local topology preserving hashing. - Yang Liu 066; Lin Feng 001; Shenglan Liu 001; Muxin Sun (Int. J. Mach. Learn. Cybern., 2019)

Fuzzy rough clustering for categorical data. - Shuliang Xu; Shenglan Liu 001; Jian Zhou; Lin Feng 001 (Int. J. Mach. Learn. Cybern., 2019)

Skeleton-Based Action Recognition with Dense Spatial Temporal Graph Network. - Lin Feng 001; Zhenning Lu; Shenglan Liu 001; Dong Jiang; Yang Liu 066; Lianyu Hu 002 (ICONIP (5), 2020)

A Discriminative STGCN for Skeleton Oriented Action Recognition. - Lin Feng 001; Qing Yuan; Yang Liu 066; Qianxin Huang; Shenglan Liu 001; Yingping Li (ICONIP (5), 2020)

Bionic Vision Descriptor for Image Retrieval. - Guangzhe Li; Shenglan Liu 001; Feilong Wang; Lin Feng 001 (ICONIP (1), 2020)

HFNet: A Novel Model for Human Focused Sports Action Recognition. - Lianyu Hu 002; Lin Feng 001; Shenglan Liu 001 (MMSports@MM, 2020)

FSD-10: A Dataset for Competitive Sports Content Analysis. - Shenglan Liu 001; Xiang Liu; Gao Huang 001; Lin Feng 001; Lianyu Hu 002; Dong Jiang; Aibin Zhang; Yang Liu 066; Hong Qiao (CoRR, 2020)

Local Neighbor Propagation Embedding. - Shenglan Liu 001; Yang Yu (CoRR, 2020)

Angular Embedding: A New Angular Robust Principal Component Analysis. - Shenglan Liu 001; Yang Yu (CoRR, 2020)

Self-adaption neighborhood density clustering method for mixed data stream with concept drift. - Shuliang Xu; Lin Feng 001; Shenglan Liu 001; Hong Qiao (Eng. Appl. Artif. Intell., 2020)

An incrementally cascaded broad learning framework to facial landmark tracking. - Caifeng Liu; Lin Feng 001; Shuai Guo 002; Huibing Wang; Shenglan Liu 001; Hong Qiao (Neurocomputing, 2020)

FSD-10: A fine-grained classification dataset for figure skating. - Shenglan Liu 001; Xiang Liu; Gao Huang 001; Hong Qiao; Lianyu Hu 002; Dong Jiang; Aibin Zhang; Yang Liu 066; Ge Guo (Neurocomputing, 2020)

Fuzzy granularity neighborhood extreme clustering. - Shuliang Xu; Shenglan Liu 001; Lin Feng 001 (Neurocomputing, 2020)

Deep attention based music genre classification. - Yang Yu; Sen Luo; Shenglan Liu 001; Hong Qiao; Yang Liu 066; Lin Feng 001 (Neurocomputing, 2020)

Multi-view laplacian eigenmaps based on bag-of-neighbors for RGB-D human emotion recognition. - Shenglan Liu 001; Shuai Guo 002; Wei Wang 036; Hong Qiao; Yang Wang; Wenbo Luo (Inf. Sci., 2020)

Cascade regression based on extreme learning machine for face alignment. - Caifeng Liu; Lin Feng 001; Huibing Wang; Shenglan Liu 001; Kaiyuan Liu (J. Electronic Imaging, 2020)

Manifold graph embedding with structure information propagation for community discovery. - Shuliang Xu; Shenglan Liu 001; Lin Feng 001 (Knowl. Based Syst., 2020)

Multi-feature weighting neighborhood density clustering. - Shuliang Xu; Lin Feng 001; Shenglan Liu 001; Jian Zhou; Hong Qiao (Neural Comput. Appl., 2020)

Correction to: Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score. - Lin Feng 001; Jian Zhou; Shenglan Liu 001; Ning Cai 002; Jie Yang (Scientometrics, 2020)

Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score. - Lin Feng 001; Jian Zhou; Shenglan Liu 001; Ning Cai 002; Jie Yang (Scientometrics, 2020)

Temporal Segmentation of Fine-gained Semantic Action: A Motion-Centered Figure Skating Dataset. - Shenglan Liu 001; Aibin Zhang; Yunheng Li; Jian Zhou; Li Xu; Zhuben Dong; Renhao Zhang (AAAI, 2021)

Adaptive Graph Convolutional Network with Prior Knowledge for Action Recognition. - Guihong Lao; Lianyu Hu 002; Shenglan Liu 001; Zhuben Dong; Wujun Wen (ICONIP (2), 2021)

Spatial-Temporal Attention Network with Multi-similarity Loss for Fine-Grained Skeleton-Based Action Recognition. - Xiang Li; Shenglan Liu 001; Yunheng Li; Hao Liu 029; Jinjing Zhao; Lin Feng 001; Guihong Lao; Guangzhe Li (ICONIP (2), 2021)

A Lightweight Multidimensional Self-attention Network for Fine-Grained Action Recognition. - Hao Liu 029; Shenglan Liu 001; Lin Feng 001; Lianyu Hu 002; Xiang Li; Heyu Fu (ICONIP (2), 2021)

Weighted P-Rank: a Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network. - Jian Zhou; Shenglan Liu 001; Lin Feng 001; Jie Yang; Ning Cai 002 (ICONIP (1), 2021)

Skeleton-Based Action Recognition With Low-Level Features of Adaptive Graph Convolutional Networks. - Jialin Gang; Yao Xiao; Shenglan Liu 001; Yao Lu (IEEE Access, 2021)

An online course mode based on microlecture videos: Using CAD geometric modeling course as an example. - Hao Liu 029; Shuhao Xu; Shenglan Liu 001 (Comput. Appl. Eng. Educ., 2021)

Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery. - Shuliang Xu; Shenglan Liu 001; Lin Feng 001 (CoRR, 2021)

Deep graph convolution neural network with non-negative matrix factorization for community discovery. - Shuliang Xu; Shenglan Liu 001; Lin Feng 001 (CoRR, 2021)

Efficient Two-Step Networks for Temporal Action Segmentation. - Yunheng Li; Zhuben Dong; Kaiyuan Liu; Lin Feng 001; Lianyu Hu 002; Jie Zhu; Li Xu; Yuhan Wang; Shenglan Liu 001 (Neurocomputing, 2021)

Three Degree Binary Graph and Shortest Edge Clustering for re-ranking in multi-feature image retrieval. - Guihong Lao; Shenglan Liu 001; Chenwei Tan; Yang Wang; Guangzhe Li; Li Xu; Lin Feng 001; Feilong Wang (J. Vis. Commun. Image Represent., 2021)

Bottom-up broadcast neural network for music genre classification. - Caifeng Liu; Lin Feng 001; Guochao Liu; Huibing Wang; Shenglan Liu 001 (Multim. Tools Appl., 2021)

Social Neighborhood Graph and Multigraph Fusion Ranking for Multifeature Image Retrieval. - Shenglan Liu 001; Muxin Sun; Lin Feng 001; Hong Qiao; Shuyuan Chen; Yang Liu 066 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Double Attention Network Based on Sparse Sampling. - Zhuben Dong; Yunheng Li; Yiwei Sun; Conghui Hao; Kaiyuan Liu; Tao Sun; Shenglan Liu 001 (ICME, 2022)

Vision Shared and Representation Isolated Network for Person Search. - Yang Liu 066; Yingping Li; Chengyu Kong; Yuqiu Kong; Shenglan Liu 001; Feilong Wang (IJCAI, 2022)

Background Suppressed and Motion Enhanced Network for Weakly Supervised Video Anomaly Detection. - Yang Liu 066; Wanxiao Yang; Hangyou Yu; Lin Feng 001; Yuqiu Kong; Shenglan Liu 001 (PRCV (3), 2022)

Image Classification Based on a Weighted CNN Model. - Hao Peng; Jian Zhou; Shenglan Liu 001 (WAC, 2022)

DF-Net: Dynamic and Folding Network for 3D Point Cloud Completion. - Yao Xiao; Yang Li; Qingjun Yu; Shenglan Liu 001; Jialin Gang (IEEE Access, 2022)

Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition. - Lianyu Hu 002; Shenglan Liu 001; Wei Feng 005 (CoRR, 2022)

Multiview nonlinear discriminant structure learning for emotion recognition. - Shuai Guo 002; Li Song 001; Rong Xie; Lin Li 062; Shenglan Liu 001 (Knowl. Based Syst., 2022)

Spatial Focus Attention for Fine-Grained Skeleton-Based Action Tasks. - Kaiyuan Liu; Yunheng Li; Yuanfeng Xu; Shuai Liu; Shenglan Liu 001 (IEEE Signal Process. Lett., 2022)

Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation. - Kaiyuan Liu; Yunheng Li; Shenglan Liu 001; Chenwei Tan; Zihang Shao (CVPR, 2023)

Multi-Scale Spatio-Temporal Aggregation Network for Human Motion Prediction. - Haoyu Su; Shenglan Liu 001; Zewen Gao; Yifeng Dong; Junshi Yang; Suhao Ding (ISKE, 2023)

Local Neighbor Propagation Embedding. - Wenduo Ma; Hengzhi Yu; Shenglan Liu 001; Yang Yu; Yunheng Li (PRCV (3), 2023)

Hierarchical Spatial-Temporal Network for Skeleton-Based Temporal Action Segmentation. - Chenwei Tan; Tao Sun; Talas Fu; Yuhan Wang; Minjie Xu; Shenglan Liu 001 (PRCV (10), 2023)

Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition. - Shenglan Liu 001; Yu-Ning Ding; Jinrong Zhang; Kai-Yuan Liu; Si-Fan Zhang; Feilong Wang; Gao Huang 001 (CoRR, 2023)

Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating. - Shenglan Liu 001; Yu-Ning Ding; Si-Fan Zhang; Wenyue Chen; Ning Zhou; Hao Liu 029; Guihong Lao (CoRR, 2023)

End-to-End Streaming Video Temporal Action Segmentation with Reinforce Learning. - Wujun Wen; Jinrong Zhang; Shenglan Liu 001; Yunheng Li; Qifeng Li; Lin Feng 001 (CoRR, 2023)

Multimodal speech emotion recognition based on multi-scale MFCCs and multi-view attention mechanism. - Lin Feng 001; Lu-Yao Liu 001; Shenglan Liu 001; Jian Zhou; Han-Qing Yang; Jie Yang (Multim. Tools Appl., 2023)

SS-INR: Spatial-Spectral Implicit Neural Representation Network for Hyperspectral and Multispectral Image Fusion. - Xinying Wang 005; Cheng Cheng; Shenglan Liu 001; Ruoxi Song; Xiang-Hai Wang 001; Lin Feng 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Identifying the potential miRNA biomarkers based on multi-view networks and reinforcement learning for diseases. - Benzhe Su; Weiwei Wang; Xiaohui Lin 002; Shenglan Liu 001; Xin Huang 015 (Briefings Bioinform., 2023)

Skeleton-based action recognition with local dynamic spatial-temporal aggregation. - Lianyu Hu 003; Shenglan Liu 001; Wei Feng 005 (Expert Syst. Appl., 2023)

Decoupling Spatio-Temporal Network for Fine-Grained Temporal Action Segmentation. - Haifei Duan; Shenglan Liu 001; Chenwei Tan; Yuning Ding; Jirui Tian; Feilong Wang (ICME, 2024)

Two-Step Temporal Divisive Clustering for Unsupervised Action Segmentation. - Yule Liu; Zhuben Dong; Shenglan Liu 001; Wujun Wen; Lin Feng 001 (ICME, 2024)

2M-AF: A Strong Multi-Modality Framework For Human Action Quality Assessment with Self-supervised Representation Learning. - Yuning Ding; Sifan Zhang; Shenglan Liu 001; Jinrong Zhang; Wenyue Chen; Haifei Duan; Bingcheng Dong; Tao Sun (ACM Multimedia, 2024)

Underwater image enhancement via cross-wise transformer network focusing on pre-post differences. - Zhixiong Huang; Jinjiang Li; Xinying Wang 005; Zhen Hua; Shenglan Liu 001; Lin Feng 001 (Appl. Soft Comput., 2024)

Underwater Variable Zoom: Depth-Guided Perception Network for Underwater Image Enhancement. - Zhixiong Huang; Xinying Wang 005; Jinjiang Li; Shenglan Liu 001; Lin Feng 001 (CoRR, 2024)

More Pictures Say More: Visual Intersection Network for Open Set Object Detection. - Bingcheng Dong; Yuning Ding; Jinrong Zhang; Sifan Zhang; Shenglan Liu 001 (CoRR, 2024)

Enhancing Multi-Object Tracking with Siamese Network-based Appearance Search. - Jinliang Liu; Zheng Lv; Jun Zhao; Shenglan Liu 001 (KSII Trans. Internet Inf. Syst., 2024)

"Where Does the Devil Lie?": Multimodal Multitask Collaborative Revision Network for Trusted Road Segmentation. - Guoguang Hua; Dalian Zheng; Shishun Tian; Wenbin Zou; Shenglan Liu 001; Xia Li 006 (IEEE Trans. Multim., 2024)

Involving Distinguished Temporal Graph Convolutional Networks for Skeleton-Based Temporal Action Segmentation. - Yun-Heng Li; Kai-Yuan Liu; Shenglan Liu 001; Lin Feng 001; Hong Qiao (IEEE Trans. Circuits Syst. Video Technol., 2024)

Hierarchical Neighbors Embedding. - Shenglan Liu 001; Yang Yu; Kaiyuan Liu; Feilong Wang; Wujun Wen; Hong Qiao (IEEE Trans. Neural Networks Learn. Syst., 2024)

DTOS: Dynamic Time Object Sensing with Large Multimodal Model. - Jirui Tian; Jinrong Zhang; Shenglan Liu 001; Luhao Xu; Zhixiong Huang; Gao Huang 001 (CVPR, 2025)

Lightweight Edge-Guided Super-Resolution Network for Remote Sensing Images. - Yining Wang; Zhixiong Huang; Xinying Wang 005; Shaodong Zhang; Shenglan Liu 001; Lin Feng 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Multidimensional Refinement Graph Convolutional Network With Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition. - Shenglan Liu 001; Yu-Ning Ding; Jinrong Zhang; Kai-Yuan Liu; Si-Fan Zhang; Fei-Long Wang; Gao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)