Xiabi Liu

According to our database, Xiabi Liu authored at least 79 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

L2T-DFM: Learning to Teach with Dynamic Fused Metric.

Zhaoyang Hai, Liyuan Pan, Xiabi Liu, Mengqiao Han

Pattern Recognit., 2025

2024

Adaptive Hypersphere Data Description for few-shot one-class classification.

Yuchen Ren, Xiabi Liu, Liyuan Pan, Lijuan Niu

Appl. Intell., December, 2024

Contraction mapping of feature norms for data quality imbalance learning.

Weihua Liu, Xiabi Liu, Huiyu Li, Chaochao Lin

Pattern Recognit. Lett., 2024

GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among Genes.

Zhaoning Shi, Meng Xiang, Zhaoyang Hai, Xiabi Liu, Yan Pei

CoRR, 2024

MA-Net: Rethinking Neural Unit in the Light of Astrocytes.

Mengqiao Han, Liyuan Pan, Xiabi Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A pyramid input augmented multi-scale CNN for GGO detection in 3D lung CT images.

Weihua Liu, Xiabi Liu, Xiongbiao Luo, Murong Wang, Guanghui Han, Xinming Zhao, Zheng Zhu

Pattern Recognit., April, 2023

L2T-DLN: Learning to Teach with Dynamic Loss Network.

Zhoyang Hai, Liyuan Pan, Xiabi Liu, Zhengzheng Liu, Mirna Yunita

CoRR, 2023

LCCo: Lending CLIP to Co-Segmentation.

Xin Duan, Yan Yang, Liyuan Pan, Xiabi Liu

CoRR, 2023

L2T-DLN: Learning to Teach with Dynamic Loss Network.

Zhaoyang Hai, Liyuan Pan, Xiabi Liu, Zhengzheng Liu, Mirna Yunita

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AstroNet: When Astrocyte Meets Artificial Neural Network.

Mengqiao Han, Liyuan Pan, Xiabi Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

RL-CoSeg : A Novel Image Co-Segmentation Algorithm with Deep Reinforcement Learning.

Xin Duan, Xiabi Liu, Xiaopeng Gong, Mengqiao Han

CoRR, 2022

2021

Integrating Lung Parenchyma Segmentation and Nodule Detection With Deep Multi-Task Learning.

Weihua Liu, Xiabi Liu, Huiyu Li, Mincan Li, Xinming Zhao, Zheng Zhu

IEEE J. Biomed. Health Informatics, 2021

Automatic image co-segmentation: a survey.

Xiabi Liu, Xin Duan

Mach. Vis. Appl., 2021

A Multi-View features hinged siamese U-Net for image Co-segmentation.

Yushuo Li, Xiabi Liu, Xiaopeng Gong, Murong Wang

Multim. Tools Appl., 2021

Generating meta-learning tasks to evolve parametric loss for classification learning.

Zhaoyang Hai, Xiabi Liu, Yuchen Ren, Nouman Qadeer Soomro

CoRR, 2021

Mining the Weights Knowledge for Optimizing Neural Network Structures.

Mengqiao Han, Xiabi Liu, Zhaoyang Hai, Xin Duan

CoRR, 2021

A Novel Structured Natural Gradient Descent for Deep Learning.

Weihua Liu, Xiabi Liu

CoRR, 2021

A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation.

Xi Liu, Xiabi Liu, Huiyu Li, Xiaopeng Gong

CoRR, 2021

Explore the Knowledge contained in Network Weights to Obtain Sparse Neural Networks.

Mengqiao Han, Xiabi Liu

CoRR, 2021

Improving Image co-segmentation via Deep Metric Learning.

Zhengwen Li, Xiabi Liu

CoRR, 2021

Fusing Medical Image Features and Clinical Features with Deep Learning for Computer-Aided Diagnosis.

Songxiao Yang, Xiabi Liu, Zhongshu Zheng, Wei Wang, Xiaohong Ma

CoRR, 2021

A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images.

Said Boumaraf, Xiabi Liu, Zhongshu Zheng, Xiaohong Ma, Chokri Ferkous

Biomed. Signal Process. Control., 2021

U-SDRC: a novel deep learning-based method for lesion enhancement in liver CT images.

Zhongshu Zheng, Ling Ma, Songxiao Yang, Said Boumaraf, Xiabi Liu, Xiaohong Ma

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Computer-aided classification of lung nodules on CT images with expert knowledge.

Chuangye Wan, Ling Ma, Xiabi Liu, Baowei Fei

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Automatic segmentation of the prostate on MR images based on anatomy and deep learning.

Lei Tao, Ling Ma, Maoqiang Xie, Xiabi Liu, Zhiqiang Tian, Baowei Fei

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

2020

A new challenging image dataset with simple background for evaluating and developing co-segmentation algorithms.

Mengqiao Yu, Xiabi Liu, Murong Wang, Guanghui Han

Signal Process. Image Commun., 2020

EW-Fisher: A Novel Loss Function for Deep Learning-Based Image Co-Segmentation.

Xiaopeng Gong, Xiabi Liu, Xin Duan, Yushuo Li

Neural Process. Lett., 2020

A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases.

Ling Ma, Xiabi Liu, Baowei Fei

Medical Biol. Eng. Comput., 2020

A novel co-attention computation block for deep learning based image co-segmentation.

Xiaopeng Gong, Xiabi Liu, Yushuo Li, Huiyu Li

Image Vis. Comput., 2020

PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans.

Weihua Liu, Xiabi Liu, Xiongbiao Luo, Murong Wang, Guangyuan Zheng, Guanghui Han

CoRR, 2020

Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality.

Weihua Liu, Xiabi Liu, Murong Wang, Ling Ma

CoRR, 2020

A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms.

Said Boumaraf, Xiabi Liu, Chokri Ferkous, Xiaohong Ma

CoRR, 2020

Deep Distance Map Regression Network with Shape-Aware Loss for Imbalanced Medical Image Segmentation.

Huiyu Li, Xiabi Liu, Said Boumaraf, Xiaopeng Gong, Donghai Liao, Xiaohong Ma

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Image Co-segmentation with Multi-Scale Dual-Cross Correlation Network.

Yushuo Li, Yuanpei Liu, Xiaopeng Gong, Xiabi Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A New Three-stage Curriculum Learning Approach for Deep Network Based Liver Tumor Segmentation.

Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Content-sensitive superpixel segmentation via self-organization-map neural network.

Murong Wang, Xiabi Liu, Nouman Qadeer Soomro, Guanhui Han, Weihua Liu

J. Vis. Commun. Image Represent., 2019

Hybrid resampling and multi-feature fusion for automatic recognition of cavity imaging sign in lung CT.

Guanghui Han, Xiabi Liu, Heye Zhang, Guangyuan Zheng, Nouman Qadeer Soomro, Murong Wang, Weihua Liu

Future Gener. Comput. Syst., 2019

A New Three-stage Curriculum Learning Approach to Deep Network Based Liver Tumor Segmentation.

Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma

CoRR, 2019

A New Feature Selection Method based on Monarch Butterfly Optimization and Fisher Criterion.

Xiaodong Qi, Xiabi Liu, Said Boumaraf

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs.

Guanghui Han, Xiabi Liu, Guangyuan Zheng, Murong Wang, Shan Huang

Medical Biol. Eng. Comput., 2018

A new constrained maximum margin approach to discriminative learning of Bayesian classifiers.

Ke Guo, Xiabi Liu, Lunhao Guo, Zongjie Li, Zengmin Geng

Frontiers Inf. Technol. Electron. Eng., 2018

ICGT: A novel incremental clustering approach based on GMM tree.

Yuchai Wan, Xiabi Liu, Yi Wu, Lunhao Guo, Qiming Chen, Murong Wang

Data Knowl. Eng., 2018

3D GGO candidate extraction in lung CT images using multilevel thresholding on supervoxels.

Shan Huang, Xiabi Liu, Guanghui Han, Xinming Zhao, Yanfeng Zhao, Chunwu Zhou

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

A Clustering Ensemble Method Based on Cluster Selection and Cluster Splitting.

Yuyang Tang, Xiabi Liu

Proceedings of the 10th International Conference on Machine Learning and Computing, 2018

2017

Superpixel segmentation: A benchmark.

Murong Wang, Xiabi Liu, Yixuan Gao, Xiao Ma, Nouman Qadeer Soomro

Signal Process. Image Commun., 2017

A new method of content based medical image retrieval and its applications to CT imaging sign retrieval.

Ling Ma, Xiabi Liu, Yan Gao, Yanfeng Zhao, Xinming Zhao, Chunwu Zhou

J. Biomed. Informatics, 2017

CD-Tree: A clustering-based dynamic indexing and retrieval approach.

Yuchai Wan, Xiabi Liu, Yi Wu

Intell. Data Anal., 2017

2016

Combining population and patient-specific characteristics for prostate segmentation on 3D CT images.

Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Funmilayo Tade, David M. Schuster, Baowei Fei

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Random walk based segmentation for the prostate on 3D transrectal ultrasound images.

Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Peter T. Nieh, Viraj V. Master, David M. Schuster, Baowei Fei

Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Simplifying Gaussian mixture model via model similarity.

Yuchai Wan, Xiabi Liu, Yuyang Tang

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Shot Boundary Detection based on Multilevel Difference of Colour Histograms.

Zongjie Li, Xiabi Liu, Shuwen Zhang

Proceedings of the First International Conference on Multimedia and Image Processing, 2016

2015

Recognizing Common CT Imaging Signs of Lung Diseases Through a New Feature Selection Method Based on Fisher Criterion and Genetic Optimization.

Xiabi Liu, Ling Ma, Li Song, Yanfeng Zhao, Xinming Zhao, Chunwu Zhou

IEEE J. Biomed. Health Informatics, 2015

The LISS - A Public Database of Common Imaging Signs of Lung Diseases for Computer-Aided Detection and Diagnosis Research and Medical Education.

Guanghui Han, Xiabi Liu, Feifei Han, I. Nyoman Tenaya Santika, Yanfeng Zhao, Xinming Zhao, Chunwu Zhou

IEEE Trans. Biomed. Eng., 2015

Cross-domain structural model for video event annotation via web images.

Han Wang, Xiabi Liu, Xinxiao Wu, Yunde Jia

Multim. Tools Appl., 2015

A new classifier fusion method based on historical and on-line classification reliability for recognizing common CT imaging signs of lung diseases.

Ling Ma, Xiabi Liu, Li Song, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao

Comput. Medical Imaging Graph., 2015

Improving Shape Retrieval by Integrating AIR and Modified Mutual kNN Graph.

Nouman Qadeer Soomro, Dongting Hu, Xiabi Liu, Shahzad Anwar, Malik Saad Sultan

Adv. Multim., 2015

Multi-view object co-segmentation based on the mixture of links model.

Dongting Hu, Yugang Li, Xiabi Liu

Proceedings of the Seventh International Conference on Digital Image Processing, 2015

2014

Empirical Evaluation of Whitening and Optimization of Feature Learning.

Nouman Qadeer Soomro, Xiabi Liu

Proceedings of the UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014

A new classifier fusion method based on confusion matrix and classification confidence for recognizing common CT imaging signs of lung diseases.

Ling Ma, Xiabi Liu, Li Song, Yu Liu, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

A New Ensemble Clustering Method Based on Dempster-Shafer Evidence Theory and Gaussian Mixture Modeling.

Yi Wu, Xiabi Liu, Lunhao Guo

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Integrating Bayesian Classifier into Random Walk optimizer for interactive image segmentation on mobile phones.

Yan Gao, Xiabi Liu

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

2013

A novel approach of computer-aided detection of focal ground-glass opacity in 2D lung CT images.

Song Li, Xiabi Liu, Ali Yang, Kunpeng Pang, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao

Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Text-Independent Phoneme Segmentation via Learning Critical Acoustic Change Points.

Peng Teng, Xiabi Liu, Yunde Jia

Proceedings of the Intelligence Science and Big Data Engineering, 2013

2012

Descent Search with Mean Direction Evolution Strategies Based on GPU with CUDA.

Kunpeng Pang, Yugang Li, Xiabi Liu

Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012

GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces.

Yuchai Wan, Xiabi Liu, Kunqi Tong, Xue Wei, Yi Wu, Fei Guan, Kunpeng Pang

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Using HOG-LBP features and MMP learning to recognize imaging signs of lung lesions.

Li Song, Xiabi Liu, Ling Ma, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao

Proceedings of CBMS 2012, 2012

2011

Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition.

Xuefeng Chen, Xiabi Liu, Yunde Jia

Neurocomputing, 2011

2010

Automatic Image Annotation with Cooperation of Concept-Specific and Universal Visual Vocabularies.

Yanjie Wang, Xiabi Liu, Yunde Jia

Proceedings of the Advances in Multimedia Modeling, 2010

2009

Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation.

Yanjie Wang, Xiabi Liu, Yunde Jia

Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition.

Xuefeng Chen, Xiabi Liu, Yunde Jia

Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers.

Xuefeng Chen, Xiabi Liu, Yunde Jia

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Soft Measure of Visual Token Occurrences for Object Categorization.

Yanjie Wang, Xiabi Liu, Yunde Jia

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2008

Gaussian mixture modeling and learning of neighboring characters for multilingual text extraction in images.

Xiabi Liu, Hui Fu, Yunde Jia

Pattern Recognit., 2008

Relevance Feedback with Max-Min Posterior Pseudo-Probability for Image Retrieval.

Yuan Deng, Xiabi Liu, Yunde Jia

Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

2007

Learning Semantic Concepts for Image Retrieval using the Max-Min Posterior Pseudo-Probabilities.

Yuan Deng, Xiabi Liu, Yunde Jia

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

2006

Hand-Gesture Based Text Input for Wearable Computers.

Yang Liu, Xiabi Liu, Yunde Jia

Proceedings of the 2006 IEEE International Conference on Computer Vision Systems, 2006

Maximum-Minimum Similarity Training for Text Extraction.

Hui Fu, Xiabi Liu, Yunde Jia

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Gaussian Mixture Modeling of Neighbor Characters for Multilingual Text Extraction in Images.

Hui Fu, Xiabi Liu, Yunde Jia, Hongbin Deng

Proceedings of the International Conference on Image Processing, 2006

2005

A bottom-up algorithm for finding principal curves with applications to image skeletonization.

Xiabi Liu, Yunde Jia

Pattern Recognit., 2005