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2020 – today
- 2024
[j56]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)- [j55]Zhenghao Liu, Yuxing Qian, Wenlong Lv, Yanbin Fang, Shenglan Liu:
Multi-feature fusion stock prediction based on knowledge graph. Electron. Libr. 42(3): 455-482 (2024) - [j54]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) - [j53]Guoguang Hua, Dalian Zheng, Shishun Tian, Wenbin Zou, Shenglan Liu, Xia Li:
"Where Does the Devil Lie?": Multimodal Multitask Collaborative Revision Network for Trusted Road Segmentation. IEEE Trans. Multim. 26: 10306-10317 (2024) - [j52]Shenglan Liu, Yang Yu, Kaiyuan Liu, Feilong Wang, Wujun Wen, Hong Qiao:
Hierarchical Neighbors Embedding. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7816-7829 (2024) - [c32]Haifei Duan, Shenglan Liu, Chenwei Tan, Yuning Ding, Jirui Tian, Feilong Wang:
Decoupling Spatio-Temporal Network for Fine-Grained Temporal Action Segmentation. ICME 2024: 1-6 - [c31]Yule Liu, Zhuben Dong, Shenglan Liu, Wujun Wen, Lin Feng:
Two-Step Temporal Divisive Clustering for Unsupervised Action Segmentation. ICME 2024: 1-6 - [i24]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) - [i23]Bingcheng Dong, Yuning Ding, Jinrong Zhang, Sifan Zhang, Shenglan Liu:
More Pictures Say More: Visual Intersection Network for Open Set Object Detection. CoRR abs/2408.14032 (2024) - 2023
- [j51]Benzhe Su, Weiwei Wang, Xiaohui Lin, Shenglan Liu, Xin Huang:
Identifying the potential miRNA biomarkers based on multi-view networks and reinforcement learning for diseases. Briefings Bioinform. 25(1) (2023) - [j50]Lianyu Hu, Shenglan Liu, Wei Feng:
Skeleton-based action recognition with local dynamic spatial-temporal aggregation. Expert Syst. Appl. 232: 120683 (2023) - [j49]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) - [j48]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) - [j47]Rui Liu, Xiaoxi Ding, Shenglan Liu, Qihang Wu, Yimin Shao:
Sinc-Based Multiplication-Convolution Network for Small-Sample Fault Diagnosis and Edge Application. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c30]Kaiyuan Liu, Yunheng Li, Shenglan Liu, Chenwei Tan, Zihang Shao:
Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation. CVPR 2023: 6503-6513 - [c29]Haoyu Su, Shenglan Liu, Zewen Gao, Yifeng Dong, Junshi Yang, Suhao Ding:
Multi-Scale Spatio-Temporal Aggregation Network for Human Motion Prediction. ISKE 2023: 410-417 - [c28]Chenwei Tan, Tao Sun, Talas Fu, Yuhan Wang, Minjie Xu, Shenglan Liu:
Hierarchical Spatial-Temporal Network for Skeleton-Based Temporal Action Segmentation. PRCV (10) 2023: 28-39 - [c27]Wenduo Ma, Hengzhi Yu, Shenglan Liu, Yang Yu, Yunheng Li:
Local Neighbor Propagation Embedding. PRCV (3) 2023: 239-249 - [i22]Sheng-lan Liu, Yu-Ning Ding, Jinrong Zhang, Kai-Yuan Liu, Si-Fan Zhang, Feilong Wang, Gao Huang:
Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition. CoRR abs/2306.15321 (2023) - [i21]Shenglan Liu, Yu-Ning Ding, Si-Fan Zhang, Wen-Yue Chen, Ning Zhou, Hao Liu, Guihong Lao:
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating. CoRR abs/2307.02730 (2023) - [i20]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
- [j46]Yao Xiao, Yang Li, Qingjun Yu, Shenglan Liu, Jialin Gang:
DF-Net: Dynamic and Folding Network for 3D Point Cloud Completion. IEEE Access 10: 97835-97842 (2022) - [j45]Shuai Guo, Li Song, Rong Xie, Lin Li, Shenglan Liu:
Multiview nonlinear discriminant structure learning for emotion recognition. Knowl. Based Syst. 258: 110042 (2022) - [j44]Qin Qiu, Ding Wang, Xuetao Du, Shengquan Yu, Shenglan Liu, Bei Zhao:
Security Standards and Measures for Massive IoT in the 5G Era. Mob. Networks Appl. 27(1): 392-403 (2022) - [j43]Kaiyuan Liu, Yunheng Li, Yuanfeng Xu, Shuai Liu, Shenglan Liu:
Spatial Focus Attention for Fine-Grained Skeleton-Based Action Tasks. IEEE Signal Process. Lett. 29: 1883-1887 (2022) - [c26]Zhuben Dong, Yunheng Li, Yiwei Sun, Conghui Hao, Kaiyuan Liu, Tao Sun, Shenglan Liu:
Double Attention Network Based on Sparse Sampling. ICME 2022: 1-6 - [c25]Yang Liu, Yingping Li, Chengyu Kong, Yuqiu Kong, Shenglan Liu, Feilong Wang:
Vision Shared and Representation Isolated Network for Person Search. IJCAI 2022: 1216-1222 - [c24]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 - [c23]Hao Peng, Jian Zhou, Shenglan Liu:
Image Classification Based on a Weighted CNN Model. WAC 2022: 330-335 - [i19]Lianyu Hu, Shenglan Liu, Wei Feng:
Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition. CoRR abs/2208.08599 (2022) - 2021
- [j42]Jialin Gang, Yao Xiao, Shenglan Liu, Yao Lu:
Skeleton-Based Action Recognition With Low-Level Features of Adaptive Graph Convolutional Networks. IEEE Access 9: 127010-127018 (2021) - [j41]Hao Liu, Shuhao Xu, Shenglan Liu:
An online course mode based on microlecture videos: Using CAD geometric modeling course as an example. Comput. Appl. Eng. Educ. 29(5): 1300-1311 (2021) - [j40]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) - [j39]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) - [j38]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) - [j37]Fuxing Li, Shenglan Liu, Xuedong Zhao, Liyan Zhang:
Real-Time 2-D Lidar Odometry Based on ICP. Sensors 21(21): 7162 (2021) - [j36]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) - [c22]Shenglan Liu, Aibin Zhang, Yunheng Li, Jian Zhou, Li Xu, Zhuben Dong, Renhao Zhang:
Temporal Segmentation of Fine-gained Semantic Action: A Motion-Centered Figure Skating Dataset. AAAI 2021: 2163-2171 - [c21]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 - [c20]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 - [c19]Guihong Lao, Lianyu Hu, Shenglan Liu, Zhuben Dong, Wujun Wen:
Adaptive Graph Convolutional Network with Prior Knowledge for Action Recognition. ICONIP (2) 2021: 597-607 - [c18]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 - [i18]Shuliang Xu, Shenglan Liu, Lin Feng:
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery. CoRR abs/2102.03302 (2021) - [i17]Shuliang Xu, Shenglan Liu, Lin Feng:
Deep graph convolution neural network with non-negative matrix factorization for community discovery. CoRR abs/2103.05768 (2021) - 2020
- [j35]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) - [j34]Yang Yu, Sen Luo, Shenglan Liu, Hong Qiao, Yang Liu, Lin Feng:
Deep attention based music genre classification. Neurocomputing 372: 84-91 (2020) - [j33]Shuliang Xu, Shenglan Liu, Lin Feng:
Fuzzy granularity neighborhood extreme clustering. Neurocomputing 379: 236-249 (2020) - [j32]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) - [j31]Shenglan Liu, Xiang Liu, Gao Huang, Hong Qiao, Lianyu Hu, Dong Jiang, Aibin Zhang, Yang Liu, Ge Guo:
FSD-10: A fine-grained classification dataset for figure skating. Neurocomputing 413: 360-367 (2020) - [j30]Shenglan Liu, Shuai Guo, Wei Wang, Hong Qiao, Yang Wang, Wenbo Luo:
Multi-view laplacian eigenmaps based on bag-of-neighbors for RGB-D human emotion recognition. Inf. Sci. 509: 243-256 (2020) - [j29]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) - [j28]Shuliang Xu, Shenglan Liu, Lin Feng:
Manifold graph embedding with structure information propagation for community discovery. Knowl. Based Syst. 208: 106448 (2020) - [j27]Shuliang Xu, Lin Feng, Shenglan Liu, Jian Zhou, Hong Qiao:
Multi-feature weighting neighborhood density clustering. Neural Comput. Appl. 32(13): 9545-9565 (2020) - [j26]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) - [j25]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) - [j24]Qin Qiu, Shenglan Liu, Sijia Xu, Shengquan Yu:
Study on Security and Privacy in 5G-Enabled Applications. Wirel. Commun. Mob. Comput. 2020: 8856683:1-8856683:15 (2020) - [c17]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 - [c16]Guangzhe Li, Shenglan Liu, Feilong Wang, Lin Feng:
Bionic Vision Descriptor for Image Retrieval. ICONIP (1) 2020: 162-173 - [c15]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 - [c14]Lianyu Hu, Lin Feng, Shenglan Liu:
HFNet: A Novel Model for Human Focused Sports Action Recognition. MMSports@MM 2020: 35-43 - [i16]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) - [i15]Shenglan Liu, Yang Yu:
Local Neighbor Propagation Embedding. CoRR abs/2006.16009 (2020) - [i14]Shenglan Liu, Yang Yu:
Angular Embedding: A New Angular Robust Principal Component Analysis. CoRR abs/2011.11013 (2020)
2010 – 2019
- 2019
- [j23]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) - [j22]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) - [j21]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) - [j20]Shuliang Xu, Shenglan Liu, Jian Zhou, Lin Feng:
Fuzzy rough clustering for categorical data. Int. J. Mach. Learn. Cybern. 10(11): 3213-3223 (2019) - [c13]Shuliang Xu, Shenglan Liu, Lin Feng:
Neighborhood Graph Embedding for Nodes Clustering of Social Network. HPCC/SmartCity/DSS 2019: 718-725 - [c12]Shenglan Liu, Xiang Liu, Yang Wang, Qing Yuan, Huihua Guan, Kaiyuan Liu:
Neural Method for Explicit Mapping of Weighted Locally Linear Embedding in Image Retrieval. ISKE 2019: 1032-1036 - [c11]Lin Feng, Dong Jiang, Aibin Zhang, Shenglan Liu, Feilong Wang, Yang Liu:
Color Recognition for Rubik's Cube Robot. SmartIoT 2019: 269-274 - [c10]Lin Feng, Caifeng Liu, Shenglan Liu, Huibing Wang:
A Fast Online Cascaded Regression Algorithm for Face Alignment. SmartIoT 2019: 330-334 - [i13]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) - [i12]Caifeng Liu, Lin Feng, Guochao Liu, Huibing Wang, Shenglan Liu:
Bottom-up Broadcast Neural Network For Music Genre Classification. CoRR abs/1901.08928 (2019) - [i11]Lin Feng, Caifeng Liu, Shenglan Liu, Huibing Wang:
A fast online cascaded regression algorithm for face alignment. CoRR abs/1905.04010 (2019) - [i10]Shenglan Liu, Yang Yu, Yang Liu, Hong Qiao, Lin Feng, Jiashi Feng:
Hierarchic Neighbors Embedding. CoRR abs/1909.07142 (2019) - 2018
- [j19]Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun:
Sensor Network Oriented Human Motion Segmentation With Motion Change Measurement. IEEE Access 6: 9281-9291 (2018) - [j18]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) - [j17]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) - [j16]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) - [j15]Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun:
Global similarity preserving hashing. Soft Comput. 22(7): 2105-2120 (2018) - [j14]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) - [c9]Lin Feng, Huimin Lu, Shenglan Liu, Guochao Liu, Sen Luo:
Automatic Feature Learning for MOOC Forum Thread Classification. ICBDC 2018: 65-70 - [i9]Shenglan Liu, Xiang Liu, Yang Liu, Lin Feng, Hong Qiao, Jian Zhou, Yang Wang:
Perceptual Visual Interactive Learning. CoRR abs/1810.10789 (2018) - [i8]Shenglan Liu, Shuai Guo, Hong Qiao, Yang Wang, Bin Wang, Wenbo Luo, Mingming Zhang, Keye Zhang, Bixuan Du:
Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition. CoRR abs/1811.03478 (2018) - 2017
- [j13]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) - [j12]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) - [j11]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) - [j10]Lin Feng, Lei Cai, Yang Liu, Shenglan Liu:
Multi-view spectral clustering via robust local subspace learning. Soft Comput. 21(8): 1937-1948 (2017) - [c8]Yang Liu, Lin Feng, Muxin Sun, Shenglan Liu:
Hashing Based State Variation for Human Motion Segmentation. CCCV (3) 2017: 627-638 - [c7]Lin Feng, Guochao Liu, Sen Luo, Shenglan Liu:
A Transferable Framework: Classification and Visualization of MOOC Discussion Threads. ICONIP (4) 2017: 377-384 - [i7]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) - [i6]Shenglan Liu, Muxin Sun, Wei Wang, Feilong Wang:
Feature Fusion using Extended Jaccard Graph and Stochastic Gradient Descent for Robot. CoRR abs/1703.08378 (2017) - [i5]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) - [i4]Youchen Du, Shenglan Liu, Lin Feng, Menghui Chen, Jie Wu:
Hand Gesture Recognition with Leap Motion. CoRR abs/1711.04293 (2017) - [i3]Lin Feng, Sheng-lan Liu, Jianing Yao:
Music Genre Classification with Paralleling Recurrent Convolutional Neural Network. CoRR abs/1712.08370 (2017) - 2016
- [j9]Li Li, Lin Feng, Laihang Yu, Jun Wu, Sheng-lan Liu:
Fusion framework for color image retrieval based on bag-of-words model and color local Haar binary patterns. J. Electronic Imaging 25(2): 023022 (2016) - [j8]Sheng-lan Liu, Lin Feng, Huibing Wang, Yao Xiao:
Extend semi-supervised ELM and a frame work. Neural Comput. Appl. 27(1): 205-213 (2016) - [i2]Shenglan Liu, Muxin Sun, Lin Feng, Yang Liu, Jun Wu:
Three Tiers Neighborhood Graph and Multi-graph Fusion Ranking for Multi-feature Image Retrieval: A Manifold Aspect. CoRR abs/1609.07599 (2016) - [i1]Shenglan Liu, Jun Wu, Lin Feng, Yang Liu, Hong Qiao, Wenbo Luo, Muxin Sun, Wei Wang:
Perceptual uniform descriptor and Ranking on manifold: A bridge between image representation and ranking for image retrieval. CoRR abs/1609.07615 (2016) - 2015
- [j7]Lin Feng, Sheng-lan Liu, Yao Xiao, Qiao Hong, Bin Wu:
A novel CBIR system with WLLTSA and ULRGA. Neurocomputing 147: 509-522 (2015) - [j6]Lin Feng, Huibing Wang, Sheng-lan Liu, Hongwei Zhang:
Locality Structured Sparsity Preserving Embedding. Int. J. Pattern Recognit. Artif. Intell. 29(6): 1551010:1-1551010:23 (2015) - [j5]Lin Feng, Jun Wu, Sheng-lan Liu, Hongwei Zhang:
Global Correlation Descriptor: A novel image representation for image retrieval. J. Vis. Commun. Image Represent. 33: 104-114 (2015) - [j4]Sheng-lan Liu, Lin Feng, Hong Qiao:
Scatter Balance: An Angle-Based Supervised Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. 26(2): 277-289 (2015) - [c6]Deshan Liu, Deqin Yan, Yonghua Tang, Shenglan Liu:
Probability fuzzy SVM for image retrieval. FSKD 2015: 136-141 - 2014
- [j3]Sheng-lan Liu, Lin Feng, Yao Xiao, Huibing Wang:
Robust activation function and its application: Semi-supervised kernel extreme learning method. Neurocomputing 144: 318-328 (2014) - 2013
- [j2]Lin Feng, Sheng-lan Liu, Zhen-Yu Wu, Bo Jin:
Maximal Similarity Embedding. Neurocomputing 99: 423-438 (2013) - 2010
- [j1]Xiaoping Wang, Shenglan Liu, Liyan Zhang:
Constructing Surface Features through Deformation. Int. J. Image Graph. 10(1): 41-56 (2010) - [c5]Deqin Yan, Sheng-lan Liu:
An angle optimized global embedding algorithm. FSKD 2010: 1843-1847
2000 – 2009
- 2007
- [c4]Shenglan Liu, Ralph R. Martin, Frank C. Langbein, Paul L. Rosin:
Segmenting Periodic Reliefs on Triangle Meshes. IMA Conference on the Mathematics of Surfaces 2007: 290-306 - 2006
- [c3]Shenglan Liu, Ralph R. Martin, Frank C. Langbein, Paul L. Rosin:
Segmenting reliefs on triangle meshes. Symposium on Solid and Physical Modeling 2006: 7-16 - 2004
- [c2]Liyan Zhang, Shenglan Liu, Xi Wu, Laishui Zhou:
Segmentation and Parametrization of Arbitrary Polygon Meshes. GMP 2004: 143-152 - [c1]Xueliang Ping, Rurong Zhou, Shenglan Liu:
Two-dimensional data sequence and its grey generation. SMC (3) 2004: 2425-2430
Coauthor Index
[j56] [j54] [c31] [i24] [j49] [j48] [i20] [c24] [j40] [j39] [j38] [j36] [c21] [c20] [c18] [i18] [i17] [j35] [j34] [j33] [j32] [j29] [j28] [j27] [j26] [j25] [c17] [c16] [c15] [c14] [i16] [j23] [j22] [j21] [j20] [c13] [c11] [c10] [i13] [i12] [i11] [i10] [j19] [j18] [j17] [j16] [j15] [j14] [c9] [i9] [j13] [j12] [j11] [j10] [c8] [c7] [i7] [i5] [i4] [i3] [j9] [j8] [i2] [i1] [j7] [j6] [j5] [j4] [j3] [j2]
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