Lixin Cui

According to our database, Lixin Cui authored at least 87 papers between 2007 and 2026.

Collaborative distances:

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

2026

GraphProbe: Knowledge Probing for Graph Representation Learning.

Mingyu Zhao, Xingyu Huang, Songming Zhang, Anqi Liu, Ziyu Lyu, Yanlin Wang, Lixin Cui, Lu Bai

Pattern Recognit., 2026

2025

Dual-Modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System.

Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Lixin Cui, Edwin R. Hancock

IEEE Trans. Intell. Transp. Syst., July, 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, Yanlin Wang, Lu Bai, Lixin Cui

CoRR, June, 2025

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks.

Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock

IEEE Trans. Knowl. Data Eng., March, 2025

Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation.

Jiandong Shi, Ming Li, Yuting Chen, Lixin Cui, Lu Bai

Inf. Sci., 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

Proceedings of the E-Business. Generative Artificial Intelligence and Management Transformation, 2025

FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System.

Yuhan Hu, Ziyu Lyu, Lu Bai, Lixin Cui

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection.

Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Hangyuan Du, Yue Wang, Edwin R. Hancock

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification.

Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin Hancock

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification.

Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint.

Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification.

Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 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, Lixin Cui

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract).

Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract).

Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification.

Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification.

Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock

IEEE Trans. Knowl. Data Eng., November, 2024

Learning Aligned Vertex Convolutional Networks for Graph Classification.

Lixin Cui, Lu Bai, Xiao Bai, Yue Wang, Edwin R. Hancock

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Timetable synchronization of the last several trains at night in an urban rail transit network.

Di Zhang, Yuan Gao, Lixing Yang, Lixin Cui

Eur. J. Oper. Res., March, 2024

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus.

Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock

IEEE Trans. Knowl. Data Eng., February, 2024

QBER: Quantum-based Entropic Representations for un-attributed graphs.

Lixin Cui, Ming Li, Lu Bai, Yue Wang, Jing Li, Yanchao Wang, Zhao Li, Yunwen Chen, Edwin R. Hancock

Pattern Recognit., January, 2024

Knowledge Probing for Graph Representation Learning.

Mingyu Zhao, Xingyu Huang, Ziyu Lyu, Yanlin Wang, Lixin Cui, Lu Bai

CoRR, 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

SSHPool: The Separated Subgraph-based Hierarchical Pooling.

Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock

CoRR, 2024

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification.

Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock

CoRR, 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

Proceedings of the E-Business. New Challenges and Opportunities for Digital-Enabled Intelligent Future, 2024

HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning.

Lu Bai, Zhuo Xu, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

QBMK: Quantum-based Matching Kernels for Un-attributed Graphs.

Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation.

Ming Li, Lin Zhang, Lixin Cui, Lu Bai, Zhao Li, Xindong Wu

Pattern Recognit., December, 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

Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation.

Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock

IEEE Trans. Knowl. Data Eng., 2023

AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks.

Lixin Cui, Ming Li, Yue Wang, Lu Bai, Edwin R. Hancock

CoRR, 2023

C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling.

Rongji Ye, Lixin Cui, Luca Rossi, Yue Wang, Zhuo Xu, Lu Bai, Edwin R. Hancock

Proceedings of the Graph-Based Representations in Pattern Recognition, 2023

2022

Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification.

Lu Bai, Lixin Cui, Yuhang Jiao, Luca Rossi, Edwin R. Hancock

IEEE Trans. Pattern Anal. Mach. Intell., 2022

QESK: Quantum-based Entropic Subtree Kernels for Graph Classification.

Lu Bai, Lixin Cui, Edwin R. Hancock

CoRR, 2022

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification.

Lu Bai, Lixin Cui, Yue Wang, Ming Li, Edwin R. Hancock

CoRR, 2022

Writing Style Aware Document-level Event Extraction.

Zhuo Xu, Yue Wang, Lu Bai, Lixin Cui

CoRR, 2022

ABDPool: Attention-based Differentiable Pooling.

Yue Liu, Lixin Cui, Yue Wang, Lu Bai

Proceedings of the 26th International Conference on Pattern Recognition, 2022

A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs.

Lu Bai, Lixin Cui, Edwin R. Hancock

Proceedings of the International Conference on Machine Learning, 2022

Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract).

Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock

Proceedings of the 38th IEEE International Conference on Data Engineering, 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

Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection.

Lixin Cui, Lu Bai, Yanchao Wang, Xin Jin, Edwin R. Hancock

Pattern Recognit., 2021

Fused lasso for feature selection using structural information.

Lixin Cui, Lu Bai, Yue Wang, Philip S. Yu, Edwin R. Hancock

Pattern Recognit., 2021

ABAE: Utilize Attention to Boost Graph Auto-Encoder.

Tianyu Liu, Yifan Li, Yujie Sun, Lixin Cui, Lu Bai

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

2020

Generative temporal link prediction via self-tokenized sequence modeling.

Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu

World Wide Web, 2020

A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted Graphs.

Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock

IEEE Trans. Cybern., 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

Graph Transformer: Learning Better Representations for Graph Neural Networks.

Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

LGL-GNN: Learning Global and Local Information for Graph Neural Networks.

Huan Li, Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection.

Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis.

Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks.

Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Identifying the most informative features using a structurally interacting elastic net.

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

Neurocomputing, 2019

Deep depth-based representations of graphs through deep learning networks.

Lu Bai, Lixin Cui, Xiao Bai, Edwin R. Hancock

Neurocomputing, 2019

Fused Lasso for Feature Selection using Structural Information.

Lixin Cui, Lu Bai, Edwin R. Hancock

CoRR, 2019

Learning Vertex Convolutional Networks for Graph Classification.

Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock

CoRR, 2019

Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification.

Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Loan Recommendation in P2P Lending Investment Networks: A Hybrid Graph Convolution Approach.

Yibo Chai, Yahu Cong, Lu Bai, Lixin Cui

Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

Wind Power Generation Prediction Based on LSTM.

Jinxia Zhang, Xuru Jiang, Xin Chen, Xiaojing Li, Dong Guo, Lixin Cui

Proceedings of the 4th International Conference on Mathematics and Artificial Intelligence, 2019

SOM Clustering Collaborative Filtering Algorithm Based on Singular Value Decomposition.

Xiaopan Ma, Dong Guo, Lixin Cui, Xiaojing Li, Xuru Jiang, Xin Chen

Proceedings of the 4th International Conference on Mathematics and Artificial Intelligence, 2019

Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking.

Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

An Attributed Graph Embedding Method Using the Tree-Index Algorithm.

Yuhang Jiao, Yueting Yang, Lixin Cui, Lu Bai

Proceedings of the Graph-Based Representations in Pattern Recognition, 2019

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, Yinan Mei, Lu Bai, Lixin Cui

计算机科学, 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

A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information.

Lu Bai, Yuhang Jiao, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock

CoRR, 2018

Single Image Super Resolution via Neighbor Reconstruction.

Zhihong Zhang, Zhuobin Xu, Zhiling Ye, Yiqun Hu, Lixin Cui, Lu Bai

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

Directed Network Analysis Using Transfer Entropy Component Analysis.

Meihong Wu, Yangbin Zeng, Zhihong Zhang, Haiyun Hong, Zhuobin Xu, Lixin Cui, Lu Bai, Edwin R. Hancock

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

Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel.

Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang

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

A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels.

Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock

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

Depth-based Subgraph Convolutional Neural Networks.

Chuanyu Xu, Dong Wang, Zhihong Zhang, Beizhan Wang, Da Zhou, Guijun Ren, Lu Bai, Lixin Cui, Edwin R. Hancock

Proceedings of the 24th International Conference on Pattern Recognition, 2018

A Deep Hybrid Graph Kernel Through Deep Learning Networks.

Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Deep Co-Investment Network Learning for Financial Assets.

Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Market Abnormality Period Detection via Co-movement Attention Model.

Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Quantum kernels for unattributed graphs using discrete-time quantum walks.

Lu Bai, Luca Rossi, Lixin Cui, Zhihong Zhang, Peng Ren, Xiao Bai, Edwin R. Hancock

Pattern Recognit. Lett., 2017

The bounds of premium and a fuzzy insurance model under risk aversion utility preference.

Ying Liu, Xiaozhong Li, Dan Wang, Lixin Cui

Proceedings of the 13th International Conference on Natural Computation, 2017

Adaptive Feature Selection Based on the Most Informative Graph-Based Features.

Lixin Cui, Yuhang Jiao, Lu Bai, Luca Rossi, Edwin R. Hancock

Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

A Nested Alignment Graph Kernel Through the Dynamic Time Warping Framework.

Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock

Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

2016

P2P Lending Analysis Using the Most Relevant Graph-Based Features.

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

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Shape classification with a vertex clustering graph kernel.

Lu Bai, Lixin Cui, Yue Wang, Xin Jin, Xiao Bai, Edwin R. Hancock

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

An edge-based matching kernel on commute-time spanning trees.

Lu Bai, Lixin Cui, Francisco Escolano, Edwin R. Hancock

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A novel entropy-based graph signature from the average mixing matrix.

Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A transitive aligned Weisfeiler-Lehman subtree kernel.

Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

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

2009

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, 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

J. Comput. Inf. Syst., 2009

2007

Principal-Agent Problem in a Fuzzy Environment.

Lixin Cui, Ruiqing Zhao, Wansheng Tang

IEEE Trans. Fuzzy Syst., 2007