Xiabi Liu

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 56

Top Topics

Gaussian Mixture

Top Venues

Medical Imaging: Image-Guided Procedures

Medical Biol. Eng. Comput.

Publications

Mengqiao Han, Liyuan Pan, Xiabi Liu
MA-Net: Rethinking Neural Unit in the Light of Astrocytes. AAAI (2024)
Zhaoning Shi, Meng Xiang, Zhaoyang Hai, Xiabi Liu, Yan Pei
GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among Genes. CoRR (2024)
Zhaoyang Hai, Liyuan Pan, Xiabi Liu, Zhengzheng Liu, Mirna Yunita
L2T-DLN: Learning to Teach with Dynamic Loss Network. NeurIPS (2023)
Zhoyang Hai, Liyuan Pan, Xiabi Liu, Zhengzheng Liu, Mirna Yunita
L2T-DLN: Learning to Teach with Dynamic Loss Network. CoRR (2023)
Weihua Liu, Xiabi Liu, Xiongbiao Luo, Murong Wang, Guanghui Han, Xinming Zhao, Zheng Zhu
A pyramid input augmented multi-scale CNN for GGO detection in 3D lung CT images. Pattern Recognit. 136 (2023)
Mengqiao Han, Liyuan Pan, Xiabi Liu
AstroNet: When Astrocyte Meets Artificial Neural Network. CVPR (2023)
Xin Duan, Yan Yang, Liyuan Pan, Xiabi Liu
LCCo: Lending CLIP to Co-Segmentation. CoRR (2023)
Xin Duan, Xiabi Liu, Xiaopeng Gong, Mengqiao Han
RL-CoSeg : A Novel Image Co-Segmentation Algorithm with Deep Reinforcement Learning. CoRR (2022)
Mengqiao Han, Xiabi Liu
Explore the Knowledge contained in Network Weights to Obtain Sparse Neural Networks. CoRR (2021)
Chuangye Wan, Ling Ma, Xiabi Liu, Baowei Fei
Computer-aided classification of lung nodules on CT images with expert knowledge. Medical Imaging: Image-Guided Procedures (2021)
Weihua Liu, Xiabi Liu
A Novel Structured Natural Gradient Descent for Deep Learning. CoRR (2021)
Xiabi Liu, Xin Duan
Automatic image co-segmentation: a survey. Mach. Vis. Appl. 32 (3) (2021)
Lei Tao, Ling Ma, Maoqiang Xie, Xiabi Liu, Zhiqiang Tian, Baowei Fei
Automatic segmentation of the prostate on MR images based on anatomy and deep learning. Medical Imaging: Image-Guided Procedures (2021)
Zhaoyang Hai, Xiabi Liu
Evolving parametrized Loss for Image Classification Learning on Small Datasets. CoRR (2021)
Mengqiao Han, Xiabi Liu, Zhaoyang Hai, Xin Duan
Mining the Weights Knowledge for Optimizing Neural Network Structures. CoRR (2021)
Xi Liu, Xiabi Liu, Huiyu Li, Xiaopeng Gong
A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation. CoRR (2021)
Said Boumaraf, Xiabi Liu, Zhongshu Zheng, Xiaohong Ma, Chokri Ferkous
A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images. Biomed. Signal Process. Control. 63 (2021)
Zhongshu Zheng, Ling Ma, Songxiao Yang, Said Boumaraf, Xiabi Liu, Xiaohong Ma
U-SDRC: a novel deep learning-based method for lesion enhancement in liver CT images. Medical Imaging: Image Processing (2021)
Weihua Liu, Xiabi Liu, Huiyu Li, Mincan Li, Xinming Zhao, Zheng Zhu
Integrating Lung Parenchyma Segmentation and Nodule Detection With Deep Multi-Task Learning. IEEE J. Biomed. Health Informatics 25 (8) (2021)
Songxiao Yang, Xiabi Liu, Zhongshu Zheng, Wei Wang, Xiaohong Ma
Fusing Medical Image Features and Clinical Features with Deep Learning for Computer-Aided Diagnosis. CoRR (2021)
Zhaoyang Hai, Xiabi Liu, Yuchen Ren, Nouman Qadeer Soomro
Generating meta-learning tasks to evolve parametric loss for classification learning. CoRR (2021)
Zhengwen Li, Xiabi Liu
Improving Image co-segmentation via Deep Metric Learning. CoRR (2021)
Yushuo Li, Xiabi Liu, Xiaopeng Gong, Murong Wang
A Multi-View features hinged siamese U-Net for image Co-segmentation. Multim. Tools Appl. 80 (15) (2021)
Xiaopeng Gong, Xiabi Liu, Yushuo Li, Huiyu Li
A novel co-attention computation block for deep learning based image co-segmentation. Image Vis. Comput. 101 (2020)
Weihua Liu, Xiabi Liu, Xiongbiao Luo, Murong Wang, Guangyuan Zheng, Guanghui Han
PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans. CoRR (2020)
Ling Ma, Xiabi Liu, Baowei Fei
A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases. Medical Biol. Eng. Comput. 58 (5) (2020)
Huiyu Li, Xiabi Liu, Said Boumaraf, Xiaopeng Gong, Donghai Liao, Xiaohong Ma
Deep Distance Map Regression Network with Shape-Aware Loss for Imbalanced Medical Image Segmentation. MLMI@MICCAI (2020)
Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma
A New Three-stage Curriculum Learning Approach for Deep Network Based Liver Tumor Segmentation. IJCNN (2020)
Said Boumaraf, Xiabi Liu, Chokri Ferkous, Xiaohong Ma
A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms. CoRR (2020)
Xiaopeng Gong, Xiabi Liu, Xin Duan, Yushuo Li
EW-Fisher: A Novel Loss Function for Deep Learning-Based Image Co-Segmentation. Neural Process. Lett. 52 (3) (2020)
Yushuo Li, Yuanpei Liu, Xiaopeng Gong, Xiabi Liu
Image Co-segmentation with Multi-Scale Dual-Cross Correlation Network. IJCNN (2020)
Weihua Liu, Xiabi Liu, Murong Wang, Ling Ma
Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality. CoRR (2020)
Mengqiao Yu, Xiabi Liu, Murong Wang, Guanghui Han
A new challenging image dataset with simple background for evaluating and developing co-segmentation algorithms. Signal Process. Image Commun. 83 (2020)
Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma
A New Three-stage Curriculum Learning Approach to Deep Network Based Liver Tumor Segmentation. CoRR (2019)
Xiabi Liu, Xin Duan
Automatic Image Co-Segmentation: A Survey. CoRR (2019)
Murong Wang, Xiabi Liu, Nouman Qadeer Soomro, Guanhui Han, Weihua Liu
Content-sensitive superpixel segmentation via self-organization-map neural network. J. Vis. Commun. Image Represent. 63 (2019)
Xiaodong Qi, Xiabi Liu, Said Boumaraf
A New Feature Selection Method based on Monarch Butterfly Optimization and Fisher Criterion. IJCNN (2019)
Guanghui Han, Xiabi Liu, Heye Zhang, Guangyuan Zheng, Nouman Qadeer Soomro, Murong Wang, Weihua Liu
Hybrid resampling and multi-feature fusion for automatic recognition of cavity imaging sign in lung CT. Future Gener. Comput. Syst. 99 (2019)
Shan Huang, Xiabi Liu, Guanghui Han, Xinming Zhao, Yanfeng Zhao, Chunwu Zhou
3D GGO candidate extraction in lung CT images using multilevel thresholding on supervoxels. Medical Imaging: Computer-Aided Diagnosis (2018)
Guanghui Han, Xiabi Liu, Guangyuan Zheng, Murong Wang, Shan Huang
Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs. Medical Biol. Eng. Comput. 56 (12) (2018)
Yuchai Wan, Xiabi Liu, Yi Wu, Lunhao Guo, Qiming Chen, Murong Wang
ICGT: A novel incremental clustering approach based on GMM tree. Data Knowl. Eng. 117 (2018)
Yuyang Tang, Xiabi Liu
A Clustering Ensemble Method Based on Cluster Selection and Cluster Splitting. ICMLC (2018)
Ke Guo, Xiabi Liu, Lunhao Guo, Zongjie Li, Zengmin Geng
A new constrained maximum margin approach to discriminative learning of Bayesian classifiers. Frontiers Inf. Technol. Electron. Eng. 19 (5) (2018)
Yuchai Wan, Xiabi Liu, Yi Wu
CD-Tree: A clustering-based dynamic indexing and retrieval approach. Intell. Data Anal. 21 (2) (2017)
Murong Wang, Xiabi Liu, Yixuan Gao, Xiao Ma, Nouman Qadeer Soomro
Superpixel segmentation: A benchmark. Signal Process. Image Commun. 56 (2017)
Ling Ma, Xiabi Liu, Yan Gao, Yanfeng Zhao, Xinming Zhao, Chunwu Zhou
A new method of content based medical image retrieval and its applications to CT imaging sign retrieval. J. Biomed. Informatics 66 (2017)
Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Peter T. Nieh, Viraj V. Master, David M. Schuster, Baowei Fei
Random walk based segmentation for the prostate on 3D transrectal ultrasound images. Medical Imaging: Image-Guided Procedures (2016)
Yuchai Wan, Xiabi Liu, Yuyang Tang
Simplifying Gaussian mixture model via model similarity. ICPR (2016)
Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Funmilayo Tade, David M. Schuster, Baowei Fei
Combining population and patient-specific characteristics for prostate segmentation on 3D CT images. Medical Imaging: Image Processing (2016)
Zongjie Li, Xiabi Liu, Shuwen Zhang
Shot Boundary Detection based on Multilevel Difference of Colour Histograms. ICMIP (2016)
Guanghui Han, Xiabi Liu, Feifei Han, I. Nyoman Tenaya Santika, Yanfeng Zhao, Xinming Zhao, Chunwu Zhou
The LISS - A Public Database of Common Imaging Signs of Lung Diseases for Computer-Aided Detection and Diagnosis Research and Medical Education. IEEE Trans. Biomed. Eng. 62 (2) (2015)
Dongting Hu, Yugang Li, Xiabi Liu
Multi-view object co-segmentation based on the mixture of links model. ICDIP (2015)
Ling Ma, Xiabi Liu, Li Song, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao
A new classifier fusion method based on historical and on-line classification reliability for recognizing common CT imaging signs of lung diseases. Comput. Medical Imaging Graph. 40 (2015)
Han Wang, Xiabi Liu, Xinxiao Wu, Yunde Jia
Cross-domain structural model for video event annotation via web images. Multim. Tools Appl. 74 (23) (2015)
Xiabi Liu, Ling Ma, Li Song, Yanfeng Zhao, Xinming Zhao, Chunwu Zhou
Recognizing Common CT Imaging Signs of Lung Diseases Through a New Feature Selection Method Based on Fisher Criterion and Genetic Optimization. IEEE J. Biomed. Health Informatics 19 (2) (2015)
Nouman Qadeer Soomro, Dongting Hu, Xiabi Liu, Shahzad Anwar, Malik Saad Sultan
Improving Shape Retrieval by Integrating AIR and Modified Mutual kNN Graph. Adv. Multim. 2015 (2015)
Nouman Qadeer Soomro, Xiabi Liu
Empirical Evaluation of Whitening and Optimization of Feature Learning. UKSim (2014)
Yan Gao, Xiabi Liu
Integrating Bayesian Classifier into Random Walk optimizer for interactive image segmentation on mobile phones. ICME Workshops (2014)
Ling Ma, Xiabi Liu, Li Song, Yu Liu, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao
A new classifier fusion method based on confusion matrix and classification confidence for recognizing common CT imaging signs of lung diseases. Medical Imaging: Computer-Aided Diagnosis (2014)
Yi Wu, Xiabi Liu, Lunhao Guo
A New Ensemble Clustering Method Based on Dempster-Shafer Evidence Theory and Gaussian Mixture Modeling. ICONIP (2) (2014)
Peng Teng, Xiabi Liu, Yunde Jia
Text-Independent Phoneme Segmentation via Learning Critical Acoustic Change Points. IScIDE (2013)
Song Li, Xiabi Liu, Ali Yang, Kunpeng Pang, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao
A novel approach of computer-aided detection of focal ground-glass opacity in 2D lung CT images. Medical Imaging: Computer-Aided Diagnosis (2013)
Yuchai Wan, Xiabi Liu, Kunqi Tong, Xue Wei, Yi Wu, Fei Guan, Kunpeng Pang
GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces. ICONIP (2) (2012)
Li Song, Xiabi Liu, Ling Ma, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao
Using HOG-LBP features and MMP learning to recognize imaging signs of lung lesions. CBMS (2012)
Kunpeng Pang, Yugang Li, Xiabi Liu
Descent Search with Mean Direction Evolution Strategies Based on GPU with CUDA. PDCAT (2012)
Xuefeng Chen, Xiabi Liu, Yunde Jia
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition. Neurocomputing 74 (6) (2011)
Yanjie Wang, Xiabi Liu, Yunde Jia
Automatic Image Annotation with Cooperation of Concept-Specific and Universal Visual Vocabularies. MMM (2010)
Yanjie Wang, Xiabi Liu, Yunde Jia
Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation. ICDAR (2009)
Xuefeng Chen, Xiabi Liu, Yunde Jia
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers. GECCO (2009)
Yanjie Wang, Xiabi Liu, Yunde Jia
Soft Measure of Visual Token Occurrences for Object Categorization. CAIP (2009)
Xuefeng Chen, Xiabi Liu, Yunde Jia
Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition. ICDAR (2009)
Yuan Deng, Xiabi Liu, Yunde Jia
Relevance Feedback with Max-Min Posterior Pseudo-Probability for Image Retrieval. VISAPP (2) (2008)
Xiabi Liu, Hui Fu, Yunde Jia
Gaussian mixture modeling and learning of neighboring characters for multilingual text extraction in images. Pattern Recognit. 41 (2) (2008)
Yuan Deng, Xiabi Liu, Yunde Jia
Learning Semantic Concepts for Image Retrieval using the Max-Min Posterior Pseudo-Probabilities. ICME (2007)
Yang Liu, Xiabi Liu, Yunde Jia
Hand-Gesture Based Text Input for Wearable Computers. ICVS (2006)
Hui Fu, Xiabi Liu, Yunde Jia
Maximum-Minimum Similarity Training for Text Extraction. ICONIP (3) (2006)
Hui Fu, Xiabi Liu, Yunde Jia, Hongbin Deng
Gaussian Mixture Modeling of Neighbor Characters for Multilingual Text Extraction in Images. ICIP (2006)
Xiabi Liu, Yunde Jia
A bottom-up algorithm for finding principal curves with applications to image skeletonization. Pattern Recognit. 38 (7) (2005)