Lixiang Xu

According to our database, Lixiang Xu authored at least 41 papers between 2011 and 2024.

Collaborative distances:

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

2024

Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis.

Lixiang Xu, Qingzhe Cui, Wei Xu, Enhong Chen, He Tong, Yuanyan Tang

Inf. Fusion, March, 2024

Group Multi-View Transformer for 3D Shape Analysis With Spatial Encoding.

Lixiang Xu, Qingzhe Cui, Richang Hong, Wei Xu, Enhong Chen, Xin Yuan, Chenglong Li, Yuanyan Tang

IEEE Trans. Multim., 2024

Modeling Student Performance Using Feature Crosses Information for Knowledge Tracing.

Lixiang Xu, Zhanlong Wang, Suojuan Zhang, Xin Yuan, Minjuan Wang, Enhong Chen

IEEE Trans. Learn. Technol., 2024

AANet: Adaptive Attention Networks for Semantic Segmentation of High-Resolution Remote Sensing Imagery.

Yan Chen, Qianchuan Zhang, Xiaofeng Wang, Quan Dong, Menglei Kang, Wenxiang Jiang, Mengyuan Wang, Lixiang Xu, Chen Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Hybrid Attention Fusion Embedded in Transformer for Remote Sensing Image Semantic Segmentation.

Yan Chen, Quan Dong, Xiaofeng Wang, Qianchuan Zhang, Menglei Kang, Wenxiang Jiang, Mengyuan Wang, Lixiang Xu, Chen Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks.

Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Lixiang Xu, Edwin R. Hancock

CoRR, 2024

Wavelet Theory Approach to Pattern Recognition - 3^rd Edition

Yuan Yan Tang, Lixiang Xu

Series in Machine Perception and Artificial Intelligence 90, WorldScientific, ISBN: 9789811284069, 2024

2023

Deep Heuristic Evolutionary Regression Model Based on the Fusion of BiGRU and BiLSTM.

Lixiang Xu, Wei Xu, Qingzhe Cui, Mengying Li, Bin Luo, Yuanyan Tang

Cogn. Comput., September, 2023

Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis.

Lu Bai, Lixin Cui, Zhihong Zhang, Lixiang Xu, Yue Wang, Edwin R. Hancock

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Adaptive Local Cross-Channel Vector Pooling Attention Module for Semantic Segmentation of Remote Sensing Imagery.

Xiaofeng Wang, Menglei Kang, Yan Chen, Wenxiang Jiang, Mengyuan Wang, Thomas Weise, Ming Tan, Lixiang Xu, Xinlu Li, Le Zou, Chen Zhang

Remote. Sens., April, 2023

Long short-term memory network-based wastewater quality prediction model with sparrow search algorithm.

Guobin Li, Qingzhe Cui, Shengnan Wei, Xiaofeng Wang, Lixiang Xu, Lixin He, Timothy C. H. Kwong, Yuanyan Tang

Int. J. Wavelets Multiresolution Inf. Process., 2023

LSTM-DGMDH: High-Dimensional Index Tracking Based on LSTM and Adaptive Deep Evolutionary GMDH Neural Network.

He Tong, Yusheng Liu, Lin Liu, Ning Li, Sibao Chen, Lixiang Xu, Yuanyan Tang

IEEE Access, 2023

UGTransformer: Unsupervised Graph Transformer Representation Learning.

Lixiang Xu, Haifeng Liu, Qingzhe Cui, Bin Luo, Ning Li, Yan Chen, Yuanyan Tang

Proceedings of the International Joint Conference on Neural Networks, 2023

GLCNet: Global-Local Complementary Network for 3D Shape Recognition.

Xiaofeng Wang, Qingzhe Cui, Lixiang Xu, Haifeng Liu, Lixin He, Bin Luo, Sibao Chen, Yuanyan Tang

Proceedings of the International Joint Conference on Neural Networks, 2023

GENet: Guidance Enhancement Network for 3D Shape Recognition.

Xiaofeng Wang, Qingzhe Cui, Lixiang Xu, Haifeng Liu, Lixin He, Bin Luo, Sibao Chen, Yuanyan Tang

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic Segmentation Network for Remote Sensing Imagery.

Yan Chen, Wenxiang Jiang, Mengyuan Wang, Menglei Kang, Thomas Weise, Xiaofeng Wang, Ming Tan, Lixiang Xu, Xinlu Li, Chen Zhang

Remote. Sens., December, 2022

Gaussian process image classification based on multi-layer convolution kernel function.

Lixiang Xu, Biao Zhou, Xinlu Li, Zhize Wu, Yan Chen, Xiaofeng Wang, Yuanyan Tang

Neurocomputing, 2022

New Benchmark for Household Garbage Image Recognition.

Zhize Wu, Huan-Yi Li, Xiaofeng Wang, Zi-Jun Wu, Le Zou, Lixiang Xu, Ming Tan

CoRR, 2022

2021

Semi-supervised multi-Layer convolution kernel learning in credit evaluation.

Lixiang Xu, Lixin Cui, Thomas Weise, Xinlu Li, Zhize Wu, Feiping Nie, Enhong Chen, Yuanyan Tang

Pattern Recognit., 2021

Deep Rényi entropy graph kernel.

Lixiang Xu, Lu Bai, Xiaoyi Jiang, Ming Tan, Daoqiang Zhang, Bin Luo

Pattern Recognit., 2021

Multiple graph kernel learning based on GMDH-type neural network.

Lixiang Xu, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaofeng Wang, Yuanyan Tang

Inf. Fusion, 2021

2020

Local-global nested graph kernels using nested complexity traces.

Lu Bai, Lixin Cui, Luca Rossi, Lixiang Xu, Xiao Bai, Edwin R. Hancock

Pattern Recognit. Lett., 2020

Probabilistic SVM classifier ensemble selection based on GMDH-type neural network.

Lixiang Xu, Xiaofeng Wang, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaoyi Jiang, Bin Luo

Pattern Recognit., 2020

2019

Efficient Lossless Compression Based Reversible Data Hiding Using Multilayered n-Bit Localization.

Rashid Abbasi, Lixiang Xu, Farhan Amin, Bin Luo

Secur. Commun. Networks, 2019

Improving hierarchical mobile video caching through distributed cross-layer coordination.

Feng Li, Lixiang Xu, Shihui Duan, Wenfu Wu, Haifeng Zhao, Qiang Ling

Multim. Tools Appl., 2019

2018

A new multilevel reversible bit-planes data hiding technique based on histogram shifting of efficient compressed domain.

Rashid Abbasi, Bin Luo, Gohar Rehman, Haseeb Hassan, Muhammad Shahid Iqbal, Lixiang Xu

Vietnam. J. Comput. Sci., 2018

A hybrid reproducing graph kernel based on information entropy.

Lixiang Xu, Xiaoyi Jiang, Lu Bai, Jin Xiao, Bin Luo

Pattern Recognit., 2018

A combined Weisfeiler-Lehman graph kernel for structured data.

Lixiang Xu, Yuanyan Tang, Bin Luo, Lixin Cui, Xiu Chen, Jin Xiao

Int. J. Wavelets Multiresolution Inf. Process., 2018

Learning Optimal Seeds for Ranking Saliency.

Huiling Wang, Lixiang Xu, Xiaofeng Wang, Bin Luo

Cogn. Comput., 2018

GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries.

Lili Mo, Ling Xie, Xiaoyi Jiang, Ge-Er Teng, Lixiang Xu, Jin Xiao

Appl. Soft Comput., 2018

A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs.

Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Lixiang Xu, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Dynamic weighted histogram equalization for contrast enhancement using for Cancer Progression Detection in medical imaging.

Rashid Abbasi, Lixiang Xu, Zheng Wang, Gohar Rehman Chughtai, Farhan Amin, Bin Luo

Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, 2018

2017

A multiple attributes convolution kernel with reproducing property.

Lixiang Xu, Xiu Chen, Xin Niu, Cheng Zhang, Bin Luo

Pattern Anal. Appl., 2017

2016

A feedback-based adaptive data migration method for hybrid storage VOD caching systems.

Qiang Ling, Lixiang Xu, Jinfeng Yan, Yicheng Zhang, Feng Li

Multim. Tools Appl., 2016

Linear complexity of generalized cyclotomic binary sequences of order 2d and length 2pm.

Xuewu Zuo, Xu Li, Jin Xiao, Yuanyan Tang, Rashid Abbasi, Lixiang Xu

Int. J. Wavelets Multiresolution Inf. Process., 2016

Learning Optimal Seeds for Salient Object Detection.

Huiling Wang, Lixiang Xu, Bin Luo

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

2015

An adaptive caching algorithm suitable for time-varying user accesses in VOD systems.

Qiang Ling, Lixiang Xu, Jinfeng Yan, Yicheng Zhang

Multim. Tools Appl., 2015

An efficient multiple kernel learning in reproducing kernel Hilbert spaces (RKHS).

Lixiang Xu, Bin Luo, Yuanyan Tang, Xiaohua Ma

Int. J. Wavelets Multiresolution Inf. Process., 2015

A local-global mixed kernel with reproducing property.

Lixiang Xu, Xin Niu, Jin Xie, Andrew Abel, Bin Luo

Neurocomputing, 2015

A Mixed Weisfeiler-Lehman Graph Kernel.

Lixiang Xu, Jin Xie, Xiaofeng Wang, Bin Luo

Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

2011

The CAT Bézier Curves.

Jin Xie, Xiaoyan Liu, Lixiang Xu

Proceedings of the Advances in Computer Science, Environment, Ecoinformatics, and Education, 2011