Lixin Cui

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 77

Top Topics

Graph Classification

Feature Selection

Convolutional Network

Reproducing Kernel

Top Venues

Pattern Recognit.

Publications

Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Lixin Cui, Edwin R. Hancock
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System. CoRR (2024)
Luomeng Zhang, Lixin Cui, Lu Bai
Population Aging and High-Quality Economic Development: Based on Feature Selection and Empirical Analysis of Provincial Panel Data. WHICEB (3) (2024)
Di Zhang, Yuan Gao, Lixing Yang, Lixin Cui
Timetable synchronization of the last several trains at night in an urban rail transit network. Eur. J. Oper. Res. 313 (2) (2024)
Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. CoRR (2024)
Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Lixiang Xu, Edwin R. Hancock
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks. CoRR (2024)
Lixin Cui, Lu Bai, Xiao Bai, Yue Wang, Edwin R. Hancock
Learning Aligned Vertex Convolutional Networks for Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
SSHPool: The Separated Subgraph-based Hierarchical Pooling. CoRR (2024)
Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. CoRR (2024)
Lixin Cui, Ming Li, Lu Bai, Yue Wang, Jing Li, Yanchao Wang, Zhao Li, Yunwen Chen, Edwin R. Hancock
QBER: Quantum-based Entropic Representations for un-attributed graphs. Pattern Recognit. 145 (2024)
Lu Bai, Lixin Cui, Zhihong Zhang, Lixiang Xu, Yue Wang, Edwin R. Hancock
Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Ming Li, Lin Zhang, Lixin Cui, Lu Bai, Zhao Li, Xindong Wu
BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation. Pattern Recognit. 144 (2023)
Lixin Cui, Ming Li, Yue Wang, Lu Bai, Edwin R. Hancock
AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks. CoRR (2023)
Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Rongji Ye, Lixin Cui, Luca Rossi, Yue Wang, Zhuo Xu, Lu Bai, Edwin R. Hancock
C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling. GbRPR (2023)
Lu Bai, Lixin Cui, Edwin R. Hancock
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. ICML (2022)
Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). ICDE (2022)
Lu Bai, Lixin Cui, Yuhang Jiao, Luca Rossi, Edwin R. Hancock
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Yue Liu, Lixin Cui, Yue Wang, Lu Bai
ABDPool: Attention-based Differentiable Pooling. ICPR (2022)
Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. CoRR (2022)
Lu Bai, Lixin Cui, Yue Wang, Ming Li, Edwin R. Hancock
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. CoRR (2022)
Zhuo Xu, Yue Wang, Lu Bai, Lixin Cui
Writing Style Aware Document-level Event Extraction. CoRR (2022)
Lu Bai, Lixin Cui, Edwin R. Hancock
QESK: Quantum-based Entropic Subtree Kernels for Graph Classification. CoRR (2022)
Lixin Cui, Lu Bai, Yue Wang, Philip S. Yu, Edwin R. Hancock
Fused lasso for feature selection using structural information. Pattern Recognit. 119 (2021)
Lixiang Xu, Lixin Cui, Thomas Weise, Xinlu Li, Zhize Wu, Feiping Nie, Enhong Chen, Yuanyan Tang
Semi-supervised multi-Layer convolution kernel learning in credit evaluation. Pattern Recognit. 120 (2021)
Tianyu Liu, Yifan Li, Yujie Sun, Lixin Cui, Lu Bai
ABAE: Utilize Attention to Boost Graph Auto-Encoder. PRICAI (2) (2021)
Lixin Cui, Lu Bai, Yanchao Wang, Xin Jin, Edwin R. Hancock
Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection. Pattern Recognit. 114 (2021)
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. CoRR (2020)
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. ICPR (2020)
Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted Graphs. IEEE Trans. Cybern. 50 (3) (2020)
Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock
Graph Transformer: Learning Better Representations for Graph Neural Networks. S+SSPR (2020)
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
Generative temporal link prediction via self-tokenized sequence modeling. World Wide Web 23 (4) (2020)
Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock
Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. S+SSPR (2020)
Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. IJCAI (2020)
Lu Bai, Lixin Cui, Luca Rossi, Lixiang Xu, Xiao Bai, Edwin R. Hancock
Local-global nested graph kernels using nested complexity traces. Pattern Recognit. Lett. 134 (2020)
Huan Li, Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock
LGL-GNN: Learning Global and Local Information for Graph Neural Networks. S+SSPR (2020)
Lu Bai, Lixin Cui, Edwin R. Hancock
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. CoRR (2020)
Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. CoRR (2019)
Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. ECML/PKDD (1) (2019)
Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu
Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. ICDM (2019)
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling. CoRR (2019)
Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock
Learning Vertex Convolutional Networks for Graph Classification. CoRR (2019)
Yibo Chai, Yahu Cong, Lu Bai, Lixin Cui
Loan Recommendation in P2P Lending Investment Networks: A Hybrid Graph Convolution Approach. IEEM (2019)
Yibo Chai, Yahu Cong, Rui Sun, Fengyang Wu, Zhongliang Zhang, Yexing Wan, Lixin Cui
Finding Potential Empathizers in an Online Mental Health Community: A Deep Graph Embedding Approach. ISPA/BDCloud/SocialCom/SustainCom (2019)
Lu Bai, Lixin Cui, Xiao Bai, Edwin R. Hancock
Deep depth-based representations of graphs through deep learning networks. Neurocomputing 336 (2019)
Jinxia Zhang, Xuru Jiang, Xin Chen, Xiaojing Li, Dong Guo, Lixin Cui
Wind Power Generation Prediction Based on LSTM. ICMAI (2019)
Xiaopan Ma, Dong Guo, Lixin Cui, Xiaojing Li, Xuru Jiang, Xin Chen
SOM Clustering Collaborative Filtering Algorithm Based on Singular Value Decomposition. ICMAI (2019)
Lu Bai, Lixin Cui, Lixiang Xu, Yue Wang, Zhihong Zhang, Edwin R. Hancock
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis. CoRR (2019)
Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs. CoRR (2019)
Lixin Cui, Lu Bai, Edwin R. Hancock
Fused Lasso for Feature Selection using Structural Information. CoRR (2019)
Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking. CoRR (2019)
Yuhang Jiao, Yueting Yang, Lixin Cui, Lu Bai
An Attributed Graph Embedding Method Using the Tree-Index Algorithm. GbRPR (2019)
Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock
Identifying the most informative features using a structurally interacting elastic net. Neurocomputing 336 (2019)
Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Lixiang Xu, Edwin R. Hancock
A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs. S+SSPR (2018)
Zhihong Zhang, Zhuobin Xu, Zhiling Ye, Yiqun Hu, Lixin Cui, Lu Bai
Single Image Super Resolution via Neighbor Reconstruction. S+SSPR (2018)
Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock
A Deep Hybrid Graph Kernel Through Deep Learning Networks. ICPR (2018)
Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang
Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. S+SSPR (2018)
Lixiang Xu, Yuanyan Tang, Bin Luo, Lixin Cui, Xiu Chen, Jin Xiao
A combined Weisfeiler-Lehman graph kernel for structured data. Int. J. Wavelets Multiresolution Inf. Process. 16 (5) (2018)
Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock
Identifying The Most Informative Features Using A Structurally Interacting Elastic Net. CoRR (2018)
Meihong Wu, Yangbin Zeng, Zhihong Zhang, Haiyun Hong, Zhuobin Xu, Lixin Cui, Lu Bai, Edwin R. Hancock
Directed Network Analysis Using Transfer Entropy Component Analysis. S+SSPR (2018)
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
Deep Co-investment Network Learning for Financial Assets. CoRR (2018)
Fei Xiao, Yue Wang, Yinan Mei, Lu Bai, Lixin Cui
基于出行模式子图的城市功能区域发现方法 (City Functional Region Discovery Algorithm Based on Travel Pattern Subgraph). 计算机科学 45 (12) (2018)
Lu Bai, Yuhang Jiao, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information. CoRR (2018)
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
Market Abnormality Period Detection via Co-movement Attention Model. IEEE BigData (2018)
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
Deep Co-Investment Network Learning for Financial Assets. ICBK (2018)
Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock
A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels. S+SSPR (2018)
Chuanyu Xu, Dong Wang, Zhihong Zhang, Beizhan Wang, Da Zhou, Guijun Ren, Lu Bai, Lixin Cui, Edwin R. Hancock
Depth-based Subgraph Convolutional Neural Networks. ICPR (2018)
Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock
A Nested Alignment Graph Kernel Through the Dynamic Time Warping Framework. GbRPR (2017)
Lu Bai, Luca Rossi, Lixin Cui, Zhihong Zhang, Peng Ren, Xiao Bai, Edwin R. Hancock
Quantum kernels for unattributed graphs using discrete-time quantum walks. Pattern Recognit. Lett. 87 (2017)
Lixin Cui, Yuhang Jiao, Lu Bai, Luca Rossi, Edwin R. Hancock
Adaptive Feature Selection Based on the Most Informative Graph-Based Features. GbRPR (2017)
Ying Liu, Xiaozhong Li, Dan Wang, Lixin Cui
The bounds of premium and a fuzzy insurance model under risk aversion utility preference. ICNC-FSKD (2017)
Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, Edwin R. Hancock
P2P Lending Analysis Using the Most Relevant Graph-Based Features. S+SSPR (2016)
Lu Bai, Lixin Cui, Francisco Escolano, Edwin R. Hancock
An edge-based matching kernel on commute-time spanning trees. ICPR (2016)
Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock
A novel entropy-based graph signature from the average mixing matrix. ICPR (2016)
Lu Bai, Lixin Cui, Yue Wang, Xin Jin, Xiao Bai, Edwin R. Hancock
Shape classification with a vertex clustering graph kernel. ICPR (2016)
Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock
A transitive aligned Weisfeiler-Lehman subtree kernel. ICPR (2016)
Ru Liu, Lixin Cui, Guangfeng Zeng, Hongyan Wu, Chengjie Wang, Shan Yan, Bingyan Yan
Applying the fuzzy SERVQUAL method to measure the service quality in certification & inspection industry. Appl. Soft Comput. 26 (2015)
Peter W. Cardon, Bryan Marshall, Jeongil Choi, Maha M. El-Shinnawy, Matthew North, Lars Svensson, Sujie Wang, Daniel T. Norris, Lixin Cui, Natalya Goreva, Voraphan Raungpaka, Ayseli Usluata, Catherine Whelan, Juyun Cho, Caroline Collier, Stefan Nillson, Gilad Ravid, Juan Pablo Valenzuala
Online and Offline Social Ties of Social Network Website Users: An Exploratory Study in Eleven Societies. J. Comput. Inf. Syst. 50 (1) (2009)
Lixin Cui, Ruiqing Zhao, Wansheng Tang
Principal-Agent Problem in a Fuzzy Environment. IEEE Trans. Fuzzy Syst. 15 (6) (2007)