The CAT Bézier Curves. - Jin Xie 004; Xiaoyan Liu; Lixiang Xu (CSEE (2), 2011)

A Mixed Weisfeiler-Lehman Graph Kernel. - Lixiang Xu; Jin Xie 004; Xiaofeng Wang 009; Bin Luo 001 (GbRPR, 2015)

A local-global mixed kernel with reproducing property. - Lixiang Xu; Xin Niu; Jin Xie 004; Andrew Abel; Bin Luo 001 (Neurocomputing, 2015)

An efficient multiple kernel learning in reproducing kernel Hilbert spaces (RKHS). - Lixiang Xu; Bin Luo 001; Yuanyan Tang; Xiaohua Ma (Int. J. Wavelets Multiresolution Inf. Process., 2015)

An adaptive caching algorithm suitable for time-varying user accesses in VOD systems. - Qiang Ling 001; Lixiang Xu; Jinfeng Yan; Yicheng Zhang 001 (Multim. Tools Appl., 2015)

Learning Optimal Seeds for Salient Object Detection. - Huiling Wang; Lixiang Xu; Bin Luo 001 (BICS, 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)

A feedback-based adaptive data migration method for hybrid storage VOD caching systems. - Qiang Ling 001; Lixiang Xu; Jinfeng Yan; Yicheng Zhang 001; Feng Li 042 (Multim. Tools Appl., 2016)

A multiple attributes convolution kernel with reproducing property. - Lixiang Xu; Xiu Chen; Xin Niu; Cheng Zhang 010; Bin Luo 001 (Pattern Anal. Appl., 2017)

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 001 (SPML, 2018)

A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs. - Lixin Cui; Lu Bai 001; Luca Rossi 004; Zhihong Zhang 001; Lixiang Xu; Edwin R. Hancock (S+SSPR, 2018)

GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries. - Lili Mo; Ling Xie; Xiaoyi Jiang 001; Ge-Er Teng; Lixiang Xu; Jin Xiao (Appl. Soft Comput., 2018)

Learning Optimal Seeds for Ranking Saliency. - Huiling Wang; Lixiang Xu; Xiaofeng Wang 009; Bin Luo 001 (Cogn. Comput., 2018)

A combined Weisfeiler-Lehman graph kernel for structured data. - Lixiang Xu; Yuanyan Tang; Bin Luo 001; Lixin Cui; Xiu Chen; Jin Xiao (Int. J. Wavelets Multiresolution Inf. Process., 2018)

A hybrid reproducing graph kernel based on information entropy. - Lixiang Xu; Xiaoyi Jiang 001; Lu Bai 001; Jin Xiao; Bin Luo 001 (Pattern Recognit., 2018)

A new multilevel reversible bit-planes data hiding technique based on histogram shifting of efficient compressed domain. - Rashid Abbasi; Bin Luo 001; Gohar Rehman; Haseeb Hassan; Muhammad Shahid Iqbal; Lixiang Xu (Vietnam. J. Comput. Sci., 2018)

Improving hierarchical mobile video caching through distributed cross-layer coordination. - Feng Li 042; Lixiang Xu; Shihui Duan; Wenfu Wu; Haifeng Zhao; Qiang Ling 001 (Multim. Tools Appl., 2019)

Efficient Lossless Compression Based Reversible Data Hiding Using Multilayered n-Bit Localization. - Rashid Abbasi; Lixiang Xu; Farhan Amin; Bin Luo 001 (Secur. Commun. Networks, 2019)

Probabilistic SVM classifier ensemble selection based on GMDH-type neural network. - Lixiang Xu; Xiaofeng Wang 009; Lu Bai 001; Jin Xiao; Qi Liu 003; Enhong Chen; Xiaoyi Jiang 001; Bin Luo 001 (Pattern Recognit., 2020)

Local-global nested graph kernels using nested complexity traces. - Lu Bai 001; Lixin Cui; Luca Rossi 004; Lixiang Xu; Xiao Bai 001; Edwin R. Hancock (Pattern Recognit. Lett., 2020)

Multiple graph kernel learning based on GMDH-type neural network. - Lixiang Xu; Lu Bai 001; Jin Xiao; Qi Liu 003; Enhong Chen; Xiaofeng Wang 009; Yuanyan Tang (Inf. Fusion, 2021)

Deep Rényi entropy graph kernel. - Lixiang Xu; Lu Bai 001; Xiaoyi Jiang 001; Ming Tan; Daoqiang Zhang; Bin Luo 001 (Pattern Recognit., 2021)

Semi-supervised multi-Layer convolution kernel learning in credit evaluation. - Lixiang Xu; Lixin Cui; Thomas Weise 001; Xinlu Li; Zhize Wu; Feiping Nie 001; Enhong Chen; Yuanyan Tang (Pattern Recognit., 2021)

New Benchmark for Household Garbage Image Recognition. - Zhize Wu; Huan-Yi Li; Xiaofeng Wang 009; Zi-Jun Wu; Le Zou; Lixiang Xu; Ming Tan (CoRR, 2022)

Gaussian process image classification based on multi-layer convolution kernel function. - Lixiang Xu; Biao Zhou; Xinlu Li; Zhize Wu; Yan Chen 037; Xiaofeng Wang 009; Yuanyan Tang (Neurocomputing, 2022)

LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic Segmentation Network for Remote Sensing Imagery. - Yan Chen 037; Wenxiang Jiang 003; Mengyuan Wang; Menglei Kang; Thomas Weise 001; Xiaofeng Wang 009; Ming Tan; Lixiang Xu; Xinlu Li; Chen Zhang (Remote. Sens., 2022)

GENet: Guidance Enhancement Network for 3D Shape Recognition. - Xiaofeng Wang 009; Qingzhe Cui; Lixiang Xu; Haifeng Liu 004; Lixin He; Bin Luo 001; Sibao Chen 001; Yuanyan Tang (IJCNN, 2023)

GLCNet: Global-Local Complementary Network for 3D Shape Recognition. - Xiaofeng Wang 009; Qingzhe Cui; Lixiang Xu; Haifeng Liu 004; Lixin He; Bin Luo 001; Sibao Chen 001; Yuanyan Tang (IJCNN, 2023)

UGTransformer: Unsupervised Graph Transformer Representation Learning. - Lixiang Xu; Haifeng Liu 004; Qingzhe Cui; Bin Luo 001; Ning Li; Yan Chen 037; Yuanyan Tang (IJCNN, 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 001; Lixiang Xu; Yuanyan Tang (IEEE Access, 2023)

Long short-term memory network-based wastewater quality prediction model with sparrow search algorithm. - Guobin Li; Qingzhe Cui; Shengnan Wei; Xiaofeng Wang 009; Lixiang Xu; Lixin He; Timothy C. H. Kwong; Yuanyan Tang (Int. J. Wavelets Multiresolution Inf. Process., 2023)

Adaptive Local Cross-Channel Vector Pooling Attention Module for Semantic Segmentation of Remote Sensing Imagery. - Xiaofeng Wang 009; Menglei Kang; Yan Chen 037; Wenxiang Jiang 003; Mengyuan Wang; Thomas Weise 001; Ming Tan; Lixiang Xu; Xinlu Li; Le Zou; Chen Zhang (Remote. Sens., 2023)

Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis. - Lu Bai 001; Lixin Cui; Zhihong Zhang 001; Lixiang Xu; Yue Wang 014; Edwin R. Hancock (IEEE Trans. Neural Networks Learn. Syst., 2023)

Deep Heuristic Evolutionary Regression Model Based on the Fusion of BiGRU and BiLSTM. - Lixiang Xu; Wei Xu; Qingzhe Cui; Mengying Li; Bin Luo 001; Yuanyan Tang (Cogn. Comput., 2023)

Wavelet Theory Approach to Pattern Recognition - 3rd Edition - Yuan Yan Tang; Lixiang Xu (Wavelet Theory Approach to Pattern Recognition, 3rd ed., 2024)

ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks. - Zhehan Zhao; Lu Bai 001; Lixin Cui; Ming Li 065; Yue Wang 014; Lixiang Xu; Edwin R. Hancock (CoRR, 2024)

Hybrid Attention Fusion Embedded in Transformer for Remote Sensing Image Semantic Segmentation. - Yan Chen 037; Quan Dong; Xiaofeng Wang 009; Qianchuan Zhang; Menglei Kang; Wenxiang Jiang 003; Mengyuan Wang; Lixiang Xu; Chen Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

AANet: Adaptive Attention Networks for Semantic Segmentation of High-Resolution Remote Sensing Imagery. - Yan Chen 037; Qianchuan Zhang; Xiaofeng Wang 009; Quan Dong; Menglei Kang; Wenxiang Jiang 003; Mengyuan Wang; Lixiang Xu; Chen Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Modeling Student Performance Using Feature Crosses Information for Knowledge Tracing. - Lixiang Xu; Zhanlong Wang; Suojuan Zhang; Xin Yuan 008; Minjuan Wang; Enhong Chen (IEEE Trans. Learn. Technol., 2024)

Group Multi-View Transformer for 3D Shape Analysis With Spatial Encoding. - Lixiang Xu; Qingzhe Cui; Richang Hong; Wei Xu; Enhong Chen; Xin Yuan 008; Chenglong Li 002; Yuanyan Tang (IEEE Trans. Multim., 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, 2024)

GraKerformer: A Transformer With Graph Kernel for Unsupervised Graph Representation Learning. - Lixiang Xu; Haifeng Liu 004; Xin Yuan 008; Enhong Chen; Yuanyan Tang (IEEE Trans. Cybern., 2024)

Resistance Distance Guided Node Injection Attack on Graph Neural Networks. - Wei Xu; Lixiang Xu; Xiaoyi Jiang 001 (GbRPR, 2025)

GL-BKGNN: Graphlet-based Bi-Kernel Interpretable Graph Neural Networks. - Lixiang Xu; Kang Jiang; Xin Niu; Enhong Chen; Bin Luo 001; Philip S. Yu (Inf. Fusion, 2025)

Graph neural network based on graph kernel: A survey. - Lixiang Xu; Jiawang Peng; Xiaoyi Jiang 001; Enhong Chen; Bin Luo 001 (Pattern Recognit., 2025)

Multi-Level Knowledge Distillation with Positional Encoding Enhancement. - Lixiang Xu; Zhiwen Wang; Lu Bai 001; Shengwei Ji; Bing Ai; Xiaofeng Wang; Philip S. Yu (Pattern Recognit., 2025)

Axis-Squeeze and Multirouting Scale-Adaptive Fusion Network for Remote Sensing Images Object Detection. - Yan Chen 037; Qi Gu; Xiaofeng Wang 009; Xinlu Shi; Lixiang Xu; Chen Zhang (IEEE Trans. Geosci. Remote. Sens., 2025)

Cross-Domain Coupling Network With Lightweight Fully Featured Mapping and Loop Aggregation for Semantic Segmentation of High-Resolution Remote Sensing Images. - Xiaofeng Wang 009; Bangwei Chen; Yan Chen 037; Qianchuan Zhang; Kehong Wang; Lixiang Xu; Chen Zhang; Le Zou (IEEE Trans. Geosci. Remote. Sens., 2025)

Graph Augmentation Empowered Contrastive Learning for Recommendation. - Lixiang Xu; Yusheng Liu; Tong Xu 001; Enhong Chen; Yuanyan Tang (ACM Trans. Inf. Syst., 2025)

Lbgcn: Lightweight bilinear graph convolutional network with attention mechanism for recommendation. - Yu Su 002; Pingzhu Wei; Linbo Zhu; Lixiang Xu; Xianquan Wang; He Tong; Ze Han (Appl. Intell., 2025)

Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing. - Lixiang Xu; Xianwei Ding; Xin Yuan 008; Zhanlong Wang; Lu Bai 001; Enhong Chen; Philip S. Yu; Yuanyan Tang (CoRR, 2025)

Dynamic Programming Techniques for Enhancing Cognitive Representation in Knowledge Tracing. - Lixiang Xu; Xianwei Ding; Xin Yuan 008; Richang Hong; Feiping Nie 001; Enhong Chen; Philip S. Yu (CoRR, 2025)