Principal-Agent Problem in a Fuzzy Environment. - Lixin Cui; Ruiqing Zhao; Wansheng Tang (IEEE Trans. Fuzzy Syst., 2007)

Online and Offline Social Ties of Social Network Website Users: An Exploratory Study in Eleven Societies. - Peter W. Cardon; Bryan Marshall; Jeongil Choi; Maha M. El-Shinnawy; Matthew North 001; Lars Svensson; Sujie Wang; Daniel T. Norris; Lixin Cui; Natalya Goreva; Voraphan Raungpaka; Ayseli Usluata; et al. (J. Comput. Inf. Syst., 2009)

Applying the fuzzy SERVQUAL method to measure the service quality in certification & inspection industry. - Ru Liu; Lixin Cui; Guangfeng Zeng; Hongyan Wu; Chengjie Wang; Shan Yan; Bingyan Yan (Appl. Soft Comput., 2015)

A transitive aligned Weisfeiler-Lehman subtree kernel. - Lu Bai 001; Luca Rossi 004; Lixin Cui; Edwin R. Hancock (ICPR, 2016)

A novel entropy-based graph signature from the average mixing matrix. - Lu Bai 001; Luca Rossi 004; Lixin Cui; Edwin R. Hancock (ICPR, 2016)

An edge-based matching kernel on commute-time spanning trees. - Lu Bai 001; Lixin Cui; Francisco Escolano; Edwin R. Hancock (ICPR, 2016)

Shape classification with a vertex clustering graph kernel. - Lu Bai 001; Lixin Cui; Yue Wang 014; Xin Jin 007; Xiao Bai 001; Edwin R. Hancock (ICPR, 2016)

P2P Lending Analysis Using the Most Relevant Graph-Based Features. - Lixin Cui; Lu Bai 001; Yue Wang 014; Xiao Bai 001; Zhihong Zhang 001; Edwin R. Hancock (S+SSPR, 2016)

A Nested Alignment Graph Kernel Through the Dynamic Time Warping Framework. - Lu Bai 001; Luca Rossi 004; Lixin Cui; Edwin R. Hancock (GbRPR, 2017)

Adaptive Feature Selection Based on the Most Informative Graph-Based Features. - Lixin Cui; Yuhang Jiao 001; Lu Bai 001; Luca Rossi 004; Edwin R. Hancock (GbRPR, 2017)

The bounds of premium and a fuzzy insurance model under risk aversion utility preference. - Ying Liu 025; Xiaozhong Li; Dan Wang; Lixin Cui (ICNC-FSKD, 2017)

Quantum kernels for unattributed graphs using discrete-time quantum walks. - Lu Bai 001; Luca Rossi 004; Lixin Cui; Zhihong Zhang 001; Peng Ren 001; Xiao Bai 001; Edwin R. Hancock (Pattern Recognit. Lett., 2017)

Market Abnormality Period Detection via Co-movement Attention Model. - Yue Wang 014; Chenwei Zhang; Shen Wang 005; Philip S. Yu; Lu Bai 001; Lixin Cui (IEEE BigData, 2018)

Deep Co-Investment Network Learning for Financial Assets. - Yue Wang 014; Chenwei Zhang; Shen Wang 005; Philip S. Yu; Lu Bai 001; Lixin Cui (ICBK, 2018)

A Deep Hybrid Graph Kernel Through Deep Learning Networks. - Lixin Cui; Lu Bai 001; Luca Rossi 004; Yue Wang 014; Yuhang Jiao 001; Edwin R. Hancock (ICPR, 2018)

Depth-based Subgraph Convolutional Neural Networks. - Chuanyu Xu; Dong Wang; Zhihong Zhang 001; Beizhan Wang; Da Zhou; Guijun Ren; Lu Bai 001; Lixin Cui; Edwin R. Hancock (ICPR, 2018)

A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels. - Lixin Cui; Lu Bai 001; Luca Rossi 004; Zhihong Zhang 001; Yuhang Jiao 001; Edwin R. Hancock (S+SSPR, 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)

Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. - Yuhang Jiao 001; Lixin Cui; Lu Bai 001; Yue Wang 014 (S+SSPR, 2018)

Directed Network Analysis Using Transfer Entropy Component Analysis. - Meihong Wu; Yangbin Zeng; Zhihong Zhang 001; Haiyun Hong; Zhuobin Xu; Lixin Cui; Lu Bai 001; Edwin R. Hancock (S+SSPR, 2018)

Single Image Super Resolution via Neighbor Reconstruction. - Zhihong Zhang 001; Zhuobin Xu; Zhiling Ye; Yiqun Hu; Lixin Cui; Lu Bai 001 (S+SSPR, 2018)

A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information. - Lu Bai 001; Yuhang Jiao 001; Luca Rossi 004; Lixin Cui; Jian Cheng 001; Edwin R. Hancock (CoRR, 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)

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). - Fei Xiao; Yue Wang 014; Yinan Mei; Lu Bai 001; Lixin Cui (计算机科学, 2018)

An Attributed Graph Embedding Method Using the Tree-Index Algorithm. - Yuhang Jiao 001; Yueting Yang; Lixin Cui; Lu Bai 001 (GbRPR, 2019)

Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. - Yue Wang 014; Yao Wan 001; Chenwei Zhang; Lu Bai 001; Lixin Cui; Philip S. Yu (ICDM, 2019)

SOM Clustering Collaborative Filtering Algorithm Based on Singular Value Decomposition. - Xiaopan Ma; Dong Guo; Lixin Cui; Xiaojing Li; Xuru Jiang; Xin Chen (ICMAI, 2019)

Wind Power Generation Prediction Based on LSTM. - Jinxia Zhang; Xuru Jiang; Xin Chen; Xiaojing Li; Dong Guo; Lixin Cui (ICMAI, 2019)

Loan Recommendation in P2P Lending Investment Networks: A Hybrid Graph Convolution Approach. - Yibo Chai; Yahu Cong; Lu Bai 001; Lixin Cui (IEEM, 2019)

Finding Potential Empathizers in an Online Mental Health Community: A Deep Graph Embedding Approach. - Yibo Chai; Yahu Cong; Rui Sun; Fengyang Wu; Zhongliang Zhang; Yexing Wan; Lixin Cui (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. - Lu Bai 001; Yuhang Jiao 001; Lixin Cui; Edwin R. Hancock (ECML/PKDD (1), 2019)

Learning Vertex Convolutional Networks for Graph Classification. - Lu Bai 001; Lixin Cui; Shu Wu; Yuhang Jiao 001; Edwin R. Hancock (CoRR, 2019)

Fused Lasso for Feature Selection using Structural Information. - Lixin Cui; Lu Bai 001; Edwin R. Hancock (CoRR, 2019)

Deep depth-based representations of graphs through deep learning networks. - Lu Bai 001; Lixin Cui; Xiao Bai 001; Edwin R. Hancock (Neurocomputing, 2019)

Identifying the most informative features using a structurally interacting elastic net. - Lixin Cui; Lu Bai 001; Zhihong Zhang 001; Yue Wang 014; Edwin R. Hancock (Neurocomputing, 2019)

Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. - Yue Wang 014; Zhuo Xu; Lu Bai 001; Yao Wan 001; Lixin Cui; Qian Zhao; Edwin R. Hancock; Philip S. Yu (ICPR, 2020)

A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. - Lu Bai 001; Lixin Cui; Yue Wang 014; Yuhang Jiao 001; Edwin R. Hancock (IJCAI, 2020)

Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. - Lixin Cui; Lichi Zhang; Lu Bai 001; Yue Wang 014; Edwin R. Hancock (S+SSPR, 2020)

LGL-GNN: Learning Global and Local Information for Graph Neural Networks. - Huan Li; Boyuan Wang; Lixin Cui; Lu Bai 001; Edwin R. Hancock (S+SSPR, 2020)

Graph Transformer: Learning Better Representations for Graph Neural Networks. - Boyuan Wang; Lixin Cui; Lu Bai 001; Edwin R. Hancock (S+SSPR, 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)

A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted Graphs. - Lu Bai 001; Luca Rossi 004; Lixin Cui; Jian Cheng 001; Edwin R. Hancock (IEEE Trans. Cybern., 2020)

Generative temporal link prediction via self-tokenized sequence modeling. - Yue Wang 014; Chenwei Zhang; Shen Wang 005; Philip S. Yu; Lu Bai 001; Lixin Cui; Guandong Xu (World Wide Web, 2020)

ABAE: Utilize Attention to Boost Graph Auto-Encoder. - Tianyu Liu; Yifan Li; Yujie Sun; Lixin Cui; Lu Bai 001 (PRICAI (2), 2021)

Fused lasso for feature selection using structural information. - Lixin Cui; Lu Bai 001; Yue Wang 014; Philip S. Yu; Edwin R. Hancock (Pattern Recognit., 2021)

Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection. - Lixin Cui; Lu Bai 001; Yanchao Wang; Xin Jin 007; Edwin R. Hancock (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)

Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). - Lu Bai 001; Yuhang Jiao 001; Lixin Cui; Luca Rossi 004; Yue Wang 014; Philip S. Yu; Edwin R. Hancock (ICDE, 2022)

A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. - Lu Bai 001; Lixin Cui; Edwin R. Hancock (ICML, 2022)

ABDPool: Attention-based Differentiable Pooling. - Yue Liu; Lixin Cui; Yue Wang 014; Lu Bai 001 (ICPR, 2022)

Writing Style Aware Document-level Event Extraction. - Zhuo Xu; Yue Wang 014; Lu Bai 001; Lixin Cui (CoRR, 2022)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Edwin R. Hancock (CoRR, 2022)

QESK: Quantum-based Entropic Subtree Kernels for Graph Classification. - Lu Bai 001; Lixin Cui; Edwin R. Hancock (CoRR, 2022)

Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. - Lu Bai 001; Lixin Cui; Yuhang Jiao 001; Luca Rossi 004; Edwin R. Hancock (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling. - Rongji Ye; Lixin Cui; Luca Rossi 004; Yue Wang 014; Zhuo Xu; Lu Bai 001; Edwin R. Hancock (GbRPR, 2023)

AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks. - Lixin Cui; Ming Li 065; Yue Wang 014; Lu Bai 001; Edwin R. Hancock (CoRR, 2023)

Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. - Lu Bai 001; Yuhang Jiao 001; Lixin Cui; Luca Rossi 004; Yue Wang 014; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 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)

BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation. - Ming Li 065; Lin Zhang; Lixin Cui; Lu Bai 001; Zhao Li 007; Xindong Wu 001 (Pattern Recognit., 2023)

QBMK: Quantum-based Matching Kernels for Un-attributed Graphs. - Lu Bai 001; Lixin Cui; Ming Li 065; Yue Wang 014; Edwin R. Hancock (ICML, 2024)

HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. - Lu Bai 001; Zhuo Xu; Lixin Cui; Ming Li 065; Yue Wang 014; Edwin R. Hancock (NeurIPS, 2024)

Population Aging and High-Quality Economic Development: Based on Feature Selection and Empirical Analysis of Provincial Panel Data. - Luomeng Zhang; Lixin Cui; Lu Bai 001 (WHICEB (3), 2024)

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. - Feifei Qian; Lixin Cui; Yue Wang 014; Hangyuan Du; Lu Bai 001; Edwin R. Hancock (CoRR, 2024)

SSHPool: The Separated Subgraph-based Hierarchical Pooling. - Zhuo Xu; Lixin Cui; Yue Wang 014; Hangyuan Du; Lu Bai 001; Edwin R. Hancock (CoRR, 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)

Knowledge Probing for Graph Representation Learning. - Mingyu Zhao; Xingyu Huang; Ziyu Lyu; Yanlin Wang 001; Lixin Cui; Lu Bai 001 (CoRR, 2024)

QBER: Quantum-based Entropic Representations for un-attributed graphs. - Lixin Cui; Ming Li 065; Lu Bai 001; Yue Wang 014; Jing Li 040; Yanchao Wang; Zhao Li 007; Yunwen Chen; Edwin R. Hancock (Pattern Recognit., 2024)

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. - Yue Wang 014; Yao Wan 001; Lu Bai 001; Lixin Cui; Zhuo Xu; Ming Li 065; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2024)

Timetable synchronization of the last several trains at night in an urban rail transit network. - Di Zhang; Yuan Gao 021; Lixing Yang; Lixin Cui (Eur. J. Oper. Res., 2024)

Learning Aligned Vertex Convolutional Networks for Graph Classification. - Lixin Cui; Lu Bai 001; Xiao Bai 001; Yue Wang 014; Edwin R. Hancock (IEEE Trans. Neural Networks Learn. Syst., 2024)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Jing Li 040; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2024)

DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification. - Feifei Qian; Lu Bai 001; Lixin Cui; Ming Li 065; Ziyu Lyu; Hangyuan Du; Edwin R. Hancock (AAAI, 2025)

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract). - Lu Bai 001; Lixin Cui; Ming Li 065; Peng Ren 001; Yue Wang 014; Lichi Zhang; Philip S. Yu; Edwin R. Hancock (ICDE, 2025)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract). - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Jing Li 040; Philip S. Yu; Edwin R. Hancock (ICDE, 2025)

Hidden Market Patterns: A Spatio-Temporal Graph Auto-Encoder for Stock Price Forecasting and Portfolio Optimization Strategy. - Han Fu; Zhuo Xu; Zhipeng Cui; Lu Bai 001; Lixin Cui (ICIC (15), 2025)

FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System. - Yuhan Hu; Ziyu Lyu; Lu Bai 001; Lixin Cui (SIGIR, 2025)

Research on the Resilience and Security in Chinese Robot Industry Comparative Analysis of Provincial - Level Disparities. - Peilin Liu; Zhipeng Cui; Yu Duan; Lixin Cui; Lu Bai 001 (WHICEB (2), 2025)

Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation. - Jiandong Shi; Ming Li 065; Yuting Chen; Lixin Cui; Lu Bai 001 (Inf. Sci., 2025)

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. - Lu Bai 001; Lixin Cui; Ming Li 065; Peng Ren 001; Yue Wang 014; Lichi Zhang; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2025)

MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework. - Yupeng Qi; Ziyu Lyu; Min Yang 002; Yanlin Wang 001; Lu Bai 001; Lixin Cui (CoRR, 2025)

Dual-Modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System. - Jing Li 040; Lu Bai 001; Bin Yang 008; Chang Li 001; Lingfei Ma; Lixin Cui; Edwin R. Hancock (IEEE Trans. Intell. Transp. Syst., 2025)