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Weixiang Liu
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Publications
- 2023
- [j20]Jianguang Liang, Tiantian Pang, Weixiang Liu, Xiaogang Li, Leidan Huang, Xuehao Gong, Xianfen Diao:
Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics. BMC Medical Imaging 23(1): 154 (2023) - [j19]Xiaopin Zhong, Wenxuan Zhu, Weixiang Liu, Jianye Yi, Chengxiang Liu, Zongze Wu:
G-SAM: A Robust One-Shot Keypoint Detection Framework for PnP Based Robot Pose Estimation. J. Intell. Robotic Syst. 109(2): 28 (2023) - [j18]Xiaopin Zhong, Junwei Zhu, Weixiang Liu, Chongxin Hu, Yuanlong Deng, Zongze Wu:
An Overview of Image Generation of Industrial Surface Defects. Sensors 23(19): 8160 (2023) - [i4]Jianye Yi, Xiaopin Zhong, Weixiang Liu, Wenxuan Zhu, Zongze Wu, Yuanlong Deng:
Edge-aware Plug-and-play Scheme for Semantic Segmentation. CoRR abs/2303.10307 (2023) - [i3]Jiezhou Chen, Guankun Wang, Weixiang Liu, Xiaopin Zhong, Yibin Tian, Zongze Wu:
Perception Reinforcement Using Auxiliary Learning Feature Fusion: A Modified Yolov8 for Head Detection. CoRR abs/2310.09492 (2023) - 2022
- [i2]Jianye Yi, Xiaopin Zhong, Weixiang Liu, Zongze Wu, Yuanlong Deng:
Harmonizing Output Imbalance for semantic segmentation on extremely-imbalanced input data. CoRR abs/2211.05295 (2022) - [i1]Xiaopin Zhong, Guankun Wang, Weixiang Liu, Zongze Wu, Yuanlong Deng:
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks. CoRR abs/2212.11542 (2022) - 2021
- [j15]Qian Luo, Weixiang Liu, Lili Jin, Chunqi Chang, Ziwen Peng:
Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images. Frontiers Neuroinformatics 15: 676491 (2021) - 2017
- [c17]Xiaogang Li, Tiantian Pang, Weixiang Liu, Tianfu Wang:
Fall detection for elderly person care using convolutional neural networks. CISP-BMEI 2017: 1-6 - [c16]Xiaogang Li, Tiantian Pang, Biao Xiong, Weixiang Liu, Ping Liang, Tianfu Wang:
Convolutional neural networks based transfer learning for diabetic retinopathy fundus image classification. CISP-BMEI 2017: 1-11 - [c15]Nizhuan Wang, Li Liu, Weixiang Liu, Hongjie Yan:
A novel automatic identification model for tracking dynamic brain functional networks at single-subject level. ICIA 2017: 505-510 - 2013
- [c13]Weixiang Liu, Tianfu Wang, Siping Chen:
Regularized nonnegative matrix factorization for clustering gene expression data. BIBM 2013: 1-4 - [c12]Xiaonian He, Weixiang Liu, Siping Chen, Zhengdi Qin:
Application on space-time coding technology in ultrasonic back-propagation method. BIBM 2013: 38-40 - 2012
- [j11]Songfeng Zheng, Weixiang Liu:
Functional gradient ascent for Probit regression. Pattern Recognit. 45(12): 4428-4437 (2012) - 2011
- [j10]Songfeng Zheng, Weixiang Liu:
An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification. Comput. Biol. Medicine 41(11): 1033-1040 (2011) - 2010
- [c11]Weixiang Liu, Songfeng Zheng, Sen Jia, LinLin Shen, Xianghua Fu:
Sparse nonnegative matrix factorization with the elastic net. BIBM 2010: 265-268 - [c10]Songfeng Zheng, Weixiang Liu:
Selecting informative genes by Lasso and Dantzig selector for linear classifiers. BIBM 2010: 677-680 - [c9]Songfeng Zheng, Weixiang Liu:
Fitting Probit Regression using Functional Gradient Ascent for Cancer Classification. BIOCOMP 2010: 81-86 - [c8]Songfeng Zheng, Weixiang Liu:
Median Boost for Cancer Classification with Gene Expression Data. BIOCOMP 2010: 146-151 - [c7]Sen Jia, Yuntao Qian, Jiming Li, Weixiang Liu, Zhen Ji:
Feature extraction and selection hybrid algorithm for hyperspectral imagery classification. IGARSS 2010: 72-75 - 2008
- [j9]Weixiang Liu, Kehong Yuan, Datian Ye:
On alpha-divergence based nonnegative matrix factorization for clustering cancer gene expression data. Artif. Intell. Medicine 44(1): 1-5 (2008) - [j8]Weixiang Liu, Kehong Yuan:
Sparse p-norm Nonnegative Matrix Factorization for clustering gene expression data. Int. J. Data Min. Bioinform. 2(3): 236-249 (2008) - [j7]Weixiang Liu, Kehong Yuan, Jian Wu, Datian Ye, Zhen Ji, Siping Chen:
Combining Generalized NMF and Discriminative Mixture Models for Classification of Gene Expression Data. Int. J. Pattern Recognit. Artif. Intell. 22(8): 1587-1598 (2008) - [j6]Weixiang Liu, Kehong Yuan, Datian Ye:
Reducing microarray data via nonnegative matrix factorization for visualization and clustering analysis. J. Biomed. Informatics 41(4): 602-606 (2008) - [c6]Jiying Zou, Kehong Yuan, Weixiang Liu, Shu Feng, Ziqiang Chen, Wufan Chen:
Brain CT Image Feature Extraction Using Nonnegative Tensor Factorization. IWCIA Special Track on Applications 2008: 85-91 - [c5]Weixiang Liu, Fei Peng, Shu Feng, Jiangsheng You, Ziqiang Chen, Jian Wu, Kehong Yuan, Datian Ye:
Semantic Feature Extraction for Brain CT Image Clustering Using Nonnegative Matrix Factorization. ICMB 2008: 41-48 - 2006
- [j5]Weixiang Liu, Nanning Zheng, Songfeng Zheng:
Learning Sparse Mixture Models for Discriminative Classification. Int. J. Pattern Recognit. Artif. Intell. 20(3): 431-440 (2006) - 2005
- [j4]Weixiang Liu, Nanning Zheng:
Erratum to: "Non-negative matrix factorization based methods for object recognition" [Pattern Recognition Letters 25 (2004) 893-897]. Pattern Recognit. Lett. 26(14): 2313 (2005) - [c4]Kun Wang, Nanning Zheng, Weixiang Liu:
Natural image matting with non-negative matrix factorization. ICIP (2) 2005: 1186-1189 - 2004
- [j3]Weixiang Liu, Nanning Zheng, Xi Li:
Relative gradient speeding up additive updates for nonnegative matrix factorization. Neurocomputing 57: 493-499 (2004) - [j2]Weixiang Liu, Nanning Zheng:
Learning sparse features for classification by mixture models. Pattern Recognit. Lett. 25(2): 155-161 (2004) - [j1]Weixiang Liu, Nanning Zheng:
Non-negative matrix factorization based methods for object recognition. Pattern Recognit. Lett. 25(8): 893-897 (2004) - [c3]Weixiang Liu, Nanning Zheng, Xi Li:
Nonnegative Matrix Factorization for EEG Signal Classification. ISNN (2) 2004: 470-475 - 2003
- [c2]Weixiang Liu, Nanning Zheng, Xiaofeng Lu:
Non-negative matrix factorization for visual coding. ICASSP (3) 2003: 293-296 - [c1]Xiaofeng Lu, Songfeng Zheng, Nanning Zheng, Weixiang Liu:
Learning features from examples for face detection. ICASSP (2) 2003: 829-832
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last updated on 2024-04-25 02:16 CEST by the dblp team
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