Xiabi Liu - RankMe

95 papers A* 6A 4B 10C 4Misc 1Journal 53Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BayesAHDD: A new Bayesian rule-based adaptive hypersphere data description for few-shot one-class classification. Expert Syst. Appl. Yuchen Ren, Xiabi Liu, Yan Pei, Yunlong Li, Yongxia Wei
2026	J	`jnl`	Dynamic learning of sample ambiguity-driven sample weighting for medical image classification. Expert Syst. Appl. Guanxiu Yi, Xiabi Liu, Ling Ma, Mengqiao Han, Lijuan Niu
2026	A*	`conf`	Oligodendrocyte-Driven Spiking Neural Model. AAAI Mengqiao Han, Liyuan Pan, Xiabi Liu, Hongming Zhang
2026	J	`jnl`	SZCo: Self-supervised zero-shot co-segmentation with region-text alignment learning. Pattern Recognit. Xin Duan, Yan Yang, Liyuan Pan, Xiabi Liu, Mingyang Gong
2025	B	`conf`	A Brain-Inspired Dual-Stream Neural Network for Tumor Classification in Ultrasound Images. SMC Chaochao Lin, Said Boumaraf, Xiabi Liu, Qianglin Liu, Lijuan Niu, Naoufel Werghi
2025	J	`jnl`	A new class correlation-based dynamic sample weighting method for medical image classification. Appl. Intell. Guanxiu Yi, Ling Ma, Xiabi Liu, Zhaoyang Hai, Yunlong Li, Mengqiao Han, Yang Chao, Lijuan Niu, Yuehao Song
2025	J	`jnl`	Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation. CoRR Huiyu Li, Xiabi Liu, Said Boumaraf, Xiaopeng Gong, Donghai Liao, Xiaohong Ma
2025	A*	`conf`	GliaNet: Adaptive Neural Network Structure Learning with Glia-Driven. CVPR Mengqiao Han, Liyuan Pan, Xiabi Liu
2025	J	`jnl`	L2T-DFM: Learning to Teach with Dynamic Fused Metric. Pattern Recognit. Zhaoyang Hai, Liyuan Pan, Xiabi Liu, Mengqiao Han
2025	J	`jnl`	LCCo: Lending CLIP to co-segmentation. Pattern Recognit. Xin Duan, Yan Yang, Liyuan Pan, Xiabi Liu
2025	—	`conf`	Optimization Design of Adaptive Loss Function Using Evolutionary Neural Networks. ICONIP (1) Xiang Meng, Zhaoyang Hai, Xiabi Liu, Yan Pei
2025	C	`conf`	PMIL: A Topology Module to Improve MIL-based WSI Classification. ISCAS Ahmad Obeid, Anabia Sohail, Said Boumaraf, Xiabi Liu, Sajid Javed, Hasan Almarzouqi, Jorge Dias, Mohammed Bennamoun, Naoufel Werghi, Ibrahim Abe M. Elfadel
2025	A*	`conf`	Task-Specific Gradient Adaptation for Few-Shot One-Class Classification. CVPR Yunlong Li, Xiabi Liu, Liyuan Pan, Yuchen Ren
2025	J	`jnl`	UC-YOLOX: Enhancing urothelial carcinoma detection with an improved YOLOX architecture leveraging attention mechanisms. Biomed. Signal Process. Control. Hanxiao Zheng, Xiabi Liu, Deyong Ma
2024	J	`jnl`	Adaptive Hypersphere Data Description for few-shot one-class classification. Appl. Intell. Yuchen Ren, Xiabi Liu, Liyuan Pan, Lijuan Niu
2024	J	`jnl`	Contraction mapping of feature norms for data quality imbalance learning. Pattern Recognit. Lett. Weihua Liu, Xiabi Liu, Huiyu Li, Chaochao Lin
2024	J	`jnl`	GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among Genes. CoRR Zhaoning Shi, Meng Xiang, Zhaoyang Hai, Xiabi Liu, Yan Pei
2024	A*	`conf`	MA-Net: Rethinking Neural Unit in the Light of Astrocytes. AAAI Mengqiao Han, Liyuan Pan, Xiabi Liu
2024	J	`jnl`	Reconstructing Deep Neural Networks: Unleashing the Optimization Potential of Natural Gradient Descent. CoRR Weihua Liu, Said Boumaraf, Jianwu Li, Chaochao Lin, Xiabi Liu, Lijuan Niu, Naoufel Werghi
2024	J	`jnl`	Transfer Learning for Caladium bicolor Classification: Proof of Concept to Application Development. KSII Trans. Internet Inf. Syst. Porawat Visutsak, Xiabi Liu, Keun Ho Ryu, Naphat Bussabong, Nicha Sirikong, Preeyaphorn Intamong, Warakorn Sonnui, Siriwan Boonkerd, Jirawat Thongpiem, Maythar Poonpanit, Akarasate Homwiseswongsa, Kittipot Hirunwannapong, Chaimongkol Suksomsong, Rittikait Budrit
2023	J	`jnl`	A pyramid input augmented multi-scale CNN for GGO detection in 3D lung CT images. Pattern Recognit. Weihua Liu, Xiabi Liu, Xiongbiao Luo, Murong Wang, Guanghui Han, Xinming Zhao, Zheng Zhu
2023	A*	`conf`	AstroNet: When Astrocyte Meets Artificial Neural Network. CVPR Mengqiao Han, Liyuan Pan, Xiabi Liu
2023	A*	`conf`	L2T-DLN: Learning to Teach with Dynamic Loss Network. NeurIPS Zhaoyang Hai, Liyuan Pan, Xiabi Liu, Zhengzheng Liu, Mirna Yunita
2023	J	`jnl`	L2T-DLN: Learning to Teach with Dynamic Loss Network. CoRR Zhoyang Hai, Liyuan Pan, Xiabi Liu, Zhengzheng Liu, Mirna Yunita
2023	J	`jnl`	LCCo: Lending CLIP to Co-Segmentation. CoRR Xin Duan, Yan Yang, Liyuan Pan, Xiabi Liu
2022	J	`jnl`	RL-CoSeg : A Novel Image Co-Segmentation Algorithm with Deep Reinforcement Learning. CoRR Xin Duan, Xiabi Liu, Xiaopeng Gong, Mengqiao Han
2021	J	`jnl`	A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation. CoRR Xi Liu, Xiabi Liu, Huiyu Li, Xiaopeng Gong
2021	J	`jnl`	A Multi-View features hinged siamese U-Net for image Co-segmentation. Multim. Tools Appl. Yushuo Li, Xiabi Liu, Xiaopeng Gong, Murong Wang
2021	J	`jnl`	A Novel Structured Natural Gradient Descent for Deep Learning. CoRR Weihua Liu, Xiabi Liu
2021	J	`jnl`	A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images. Biomed. Signal Process. Control. Said Boumaraf, Xiabi Liu, Zhongshu Zheng, Xiaohong Ma, Chokri Ferkous
2021	J	`jnl`	Automatic image co-segmentation: a survey. Mach. Vis. Appl. Xiabi Liu, Xin Duan
2021	—	`conf`	Automatic segmentation of the prostate on MR images based on anatomy and deep learning. Image-Guided Procedures Lei Tao, Ling Ma, Maoqiang Xie, Xiabi Liu, Zhiqiang Tian, Baowei Fei
2021	—	`conf`	Computer-aided classification of lung nodules on CT images with expert knowledge. Image-Guided Procedures Chuangye Wan, Ling Ma, Xiabi Liu, Baowei Fei
2021	J	`jnl`	Explore the Knowledge contained in Network Weights to Obtain Sparse Neural Networks. CoRR Mengqiao Han, Xiabi Liu
2021	J	`jnl`	Fusing Medical Image Features and Clinical Features with Deep Learning for Computer-Aided Diagnosis. CoRR Songxiao Yang, Xiabi Liu, Zhongshu Zheng, Wei Wang, Xiaohong Ma
2021	J	`jnl`	Generating meta-learning tasks to evolve parametric loss for classification learning. CoRR Zhaoyang Hai, Xiabi Liu, Yuchen Ren, Nouman Qadeer Soomro
2021	J	`jnl`	Improving Image co-segmentation via Deep Metric Learning. CoRR Zhengwen Li, Xiabi Liu
2021	J	`jnl`	Integrating Lung Parenchyma Segmentation and Nodule Detection With Deep Multi-Task Learning. IEEE J. Biomed. Health Informatics Weihua Liu, Xiabi Liu, Huiyu Li, Mincan Li, Xinming Zhao, Zheng Zhu
2021	J	`jnl`	Mining the Weights Knowledge for Optimizing Neural Network Structures. CoRR Mengqiao Han, Xiabi Liu, Zhaoyang Hai, Xin Duan
2021	B	`conf`	U-SDRC: a novel deep learning-based method for lesion enhancement in liver CT images. Image Processing Zhongshu Zheng, Ling Ma, Songxiao Yang, Said Boumaraf, Xiabi Liu, Xiaohong Ma
2020	J	`jnl`	A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms. CoRR Said Boumaraf, Xiabi Liu, Chokri Ferkous, Xiaohong Ma
2020	B	`conf`	A New Three-stage Curriculum Learning Approach for Deep Network Based Liver Tumor Segmentation. IJCNN Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma
2020	J	`jnl`	A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases. Medical Biol. Eng. Comput. Ling Ma, Xiabi Liu, Baowei Fei
2020	J	`jnl`	A new challenging image dataset with simple background for evaluating and developing co-segmentation algorithms. Signal Process. Image Commun. Mengqiao Yu, Xiabi Liu, Murong Wang, Guanghui Han
2020	J	`jnl`	A novel co-attention computation block for deep learning based image co-segmentation. Image Vis. Comput. Xiaopeng Gong, Xiabi Liu, Yushuo Li, Huiyu Li
2020	J	`jnl`	Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality. CoRR Weihua Liu, Xiabi Liu, Murong Wang, Ling Ma
2020	—	`conf`	Deep Distance Map Regression Network with Shape-Aware Loss for Imbalanced Medical Image Segmentation. MLMI@MICCAI Huiyu Li, Xiabi Liu, Said Boumaraf, Xiaopeng Gong, Donghai Liao, Xiaohong Ma
2020	J	`jnl`	EW-Fisher: A Novel Loss Function for Deep Learning-Based Image Co-Segmentation. Neural Process. Lett. Xiaopeng Gong, Xiabi Liu, Xin Duan, Yushuo Li
2020	B	`conf`	Image Co-segmentation with Multi-Scale Dual-Cross Correlation Network. IJCNN Yushuo Li, Yuanpei Liu, Xiaopeng Gong, Xiabi Liu
2020	J	`jnl`	PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans. CoRR Weihua Liu, Xiabi Liu, Xiongbiao Luo, Murong Wang, Guangyuan Zheng, Guanghui Han
2019	B	`conf`	A New Feature Selection Method based on Monarch Butterfly Optimization and Fisher Criterion. IJCNN Xiaodong Qi, Xiabi Liu, Said Boumaraf
2019	J	`jnl`	A New Three-stage Curriculum Learning Approach to Deep Network Based Liver Tumor Segmentation. CoRR Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma
2019	J	`jnl`	Automatic Image Co-Segmentation: A Survey. CoRR Xiabi Liu, Xin Duan
2019	J	`jnl`	Content-sensitive superpixel segmentation via self-organization-map neural network. J. Vis. Commun. Image Represent. Murong Wang, Xiabi Liu, Nouman Qadeer Soomro, Guanghui Han, Weihua Liu
2019	J	`jnl`	Hybrid resampling and multi-feature fusion for automatic recognition of cavity imaging sign in lung CT. Future Gener. Comput. Syst. Guanghui Han, Xiabi Liu, Heye Zhang, Guangyuan Zheng, Nouman Qadeer Soomro, Murong Wang, Weihua Liu
2018	—	`conf`	3D GGO candidate extraction in lung CT images using multilevel thresholding on supervoxels. Computer-Aided Diagnosis Shan Huang, Xiabi Liu, Guanghui Han, Xinming Zhao, Yanfeng Zhao, Chunwu Zhou
2018	Misc	`conf`	A Clustering Ensemble Method Based on Cluster Selection and Cluster Splitting. ICMLC Yuyang Tang, Xiabi Liu
2018	J	`jnl`	A new constrained maximum margin approach to discriminative learning of Bayesian classifiers. Frontiers Inf. Technol. Electron. Eng. Ke Guo, Xiabi Liu, Lunhao Guo, Zongjie Li, Zengmin Geng
2018	J	`jnl`	Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs. Medical Biol. Eng. Comput. Guanghui Han, Xiabi Liu, Guangyuan Zheng, Murong Wang, Shan Huang
2018	J	`jnl`	ICGT: A novel incremental clustering approach based on GMM tree. Data Knowl. Eng. Yuchai Wan, Xiabi Liu, Yi Wu, Lunhao Guo, Qiming Chen, Murong Wang
2017	J	`jnl`	A new method of content based medical image retrieval and its applications to CT imaging sign retrieval. J. Biomed. Informatics Ling Ma, Xiabi Liu, Yan Gao, Yanfeng Zhao, Xinming Zhao, Chunwu Zhou
2017	J	`jnl`	CD-Tree: A clustering-based dynamic indexing and retrieval approach. Intell. Data Anal. Yuchai Wan, Xiabi Liu, Yi Wu
2017	J	`jnl`	Superpixel segmentation: A benchmark. Signal Process. Image Commun. Murong Wang, Xiabi Liu, Yixuan Gao, Xiao Ma, Nouman Qadeer Soomro
2016	B	`conf`	Combining population and patient-specific characteristics for prostate segmentation on 3D CT images. Image Processing Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Funmilayo Tade, David M. Schuster, Baowei Fei
2016	—	`conf`	Random walk based segmentation for the prostate on 3D transrectal ultrasound images. Image-Guided Procedures Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Peter T. Nieh, Viraj V. Master, David M. Schuster, Baowei Fei
2016	—	`conf`	Shot Boundary Detection based on Multilevel Difference of Colour Histograms. ICMIP Zongjie Li, Xiabi Liu, Shuwen Zhang
2016	B	`conf`	Simplifying Gaussian mixture model via model similarity. ICPR Yuchai Wan, Xiabi Liu, Yuyang Tang
2015	J	`jnl`	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. Ling Ma, Xiabi Liu, Li Song, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao
2015	J	`jnl`	Cross-domain structural model for video event annotation via web images. Multim. Tools Appl. Han Wang, Xiabi Liu, Xinxiao Wu, Yunde Jia
2015	J	`jnl`	Improving Shape Retrieval by Integrating AIR and Modified Mutual kNN Graph. Adv. Multim. Nouman Qadeer Soomro, Dongting Hu, Xiabi Liu, Shahzad Anwar, Malik Saad Sultan
2015	—	`conf`	Multi-view object co-segmentation based on the mixture of links model. ICDIP Dongting Hu, Yugang Li, Xiabi Liu
2015	J	`jnl`	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 Xiabi Liu, Ling Ma, Li Song, Yanfeng Zhao, Xinming Zhao, Chunwu Zhou
2015	J	`jnl`	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. Guanghui Han, Xiabi Liu, Feifei Han, I. Nyoman Tenaya Santika, Yanfeng Zhao, Xinming Zhao, Chunwu Zhou
2014	—	`conf`	A New Ensemble Clustering Method Based on Dempster-Shafer Evidence Theory and Gaussian Mixture Modeling. ICONIP (2) Yi Wu, Xiabi Liu, Lunhao Guo
2014	—	`conf`	A new classifier fusion method based on confusion matrix and classification confidence for recognizing common CT imaging signs of lung diseases. Computer-Aided Diagnosis Ling Ma, Xiabi Liu, Li Song, Yu Liu, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao
2014	—	`conf`	Empirical Evaluation of Whitening and Optimization of Feature Learning. UKSim Nouman Qadeer Soomro, Xiabi Liu
2014	—	`conf`	Integrating Bayesian Classifier into Random Walk optimizer for interactive image segmentation on mobile phones. ICME Workshops Yan Gao, Xiabi Liu
2013	—	`conf`	A novel approach of computer-aided detection of focal ground-glass opacity in 2D lung CT images. Computer-Aided Diagnosis Song Li, Xiabi Liu, Ali Yang, Kunpeng Pang, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao
2013	—	`conf`	Text-Independent Phoneme Segmentation via Learning Critical Acoustic Change Points. IScIDE Peng Teng, Xiabi Liu, Yunde Jia
2012	C	`conf`	Descent Search with Mean Direction Evolution Strategies Based on GPU with CUDA. PDCAT Kunpeng Pang, Yugang Li, Xiabi Liu
2012	—	`conf`	GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces. ICONIP (2) Yuchai Wan, Xiabi Liu, Kunqi Tong, Xue Wei, Yi Wu, Fei Guan, Kunpeng Pang
2012	B	`conf`	Using HOG-LBP features and MMP learning to recognize imaging signs of lung lesions. CBMS Li Song, Xiabi Liu, Ling Ma, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao
2011	J	`jnl`	Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition. Neurocomputing Xuefeng Chen, Xiabi Liu, Yunde Jia
2010	B	`conf`	Automatic Image Annotation with Cooperation of Concept-Specific and Universal Visual Vocabularies. MMM Yanjie Wang, Xiabi Liu, Yunde Jia
2009	A	`conf`	Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers. GECCO Xuefeng Chen, Xiabi Liu, Yunde Jia
2009	C	`conf`	Soft Measure of Visual Token Occurrences for Object Categorization. CAIP Yanjie Wang, Xiabi Liu, Yunde Jia
2009	A	`conf`	Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation. ICDAR Yanjie Wang, Xiabi Liu, Yunde Jia
2009	A	`conf`	Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition. ICDAR Xuefeng Chen, Xiabi Liu, Yunde Jia
2008	J	`jnl`	Gaussian mixture modeling and learning of neighboring characters for multilingual text extraction in images. Pattern Recognit. Xiabi Liu, Hui Fu, Yunde Jia
2008	—	`conf`	Relevance Feedback with Max-Min Posterior Pseudo-Probability for Image Retrieval. VISAPP (2) Yuan Deng, Xiabi Liu, Yunde Jia
2007	A	`conf`	Learning Semantic Concepts for Image Retrieval using the Max-Min Posterior Pseudo-Probabilities. ICME Yuan Deng, Xiabi Liu, Yunde Jia
2006	B	`conf`	Gaussian Mixture Modeling of Neighbor Characters for Multilingual Text Extraction in Images. ICIP Hui Fu, Xiabi Liu, Yunde Jia, Hongbin Deng
2006	C	`conf`	Hand-Gesture Based Text Input for Wearable Computers. ICVS Yang Liu, Xiabi Liu, Yunde Jia
2006	—	`conf`	Maximum-Minimum Similarity Training for Text Extraction. ICONIP (3) Hui Fu, Xiabi Liu, Yunde Jia
2005	J	`jnl`	A bottom-up algorithm for finding principal curves with applications to image skeletonization. Pattern Recognit. Xiabi Liu, Yunde Jia