Lixin Cui - RankMe

112 papers A* 25B 8Journal 53Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	GCIB: Causal Intervention Guided Graph Information Bottleneck Framework. AAAI Hangyuan Du, Rong Wang, Lixin Cui, Gaoxia Jiang, Liang Bai, Wenjian Wang
2026	J	`jnl`	GraphProbe: Knowledge Probing for Graph Representation Learning. Pattern Recognit. Mingyu Zhao, Xingyu Huang, Songming Zhang, Anqi Liu, Ziyu Lyu, Yanlin Wang, Lixin Cui, Lu Bai
2026	A*	`conf`	HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters. AAAI Ming Li, Ruiting Zhao, Zihao Yan, Lu Bai, Lixin Cui, Feilong Cao
2026	A*	`conf`	HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning. AAAI Ming Li, Zhanle Zhu, Xinyi Li, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv
2026	A*	`conf`	LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation. AAAI Lin Du, Lu Bai, Jincheng Li, Lixin Cui, Hangyuan Du, Lichi Zhang, Yuting Chen, Zhao Li
2026	A*	`conf`	Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation. AAAI Ming Li, Zihao Yan, Yuting Chen, Lixin Cui, Lu Bai, Feilong Cao, Ke Lv, Zhao Li
2026	A*	`conf`	RAIE: Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation. WWW Jin Zeng, Yupeng Qi, Hui Li, Chengming Li, Ziyu Lyu, Lixin Cui, Lu Bai
2026	J	`jnl`	RAIE: Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation. CoRR Jin Zeng, Yupeng Qi, Hui Li, Chengming Li, Ziyu Lyu, Lixin Cui, Lu Bai
2026	A*	`conf`	SSHPool: The Separated Subgraph-based Hierarchical Pooling. AAAI Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Ziyu Lyu, Yue Wang, Edwin R. Hancock
2026	A*	`conf`	Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction. AAAI Ming Li, Huiting Wang, Yuting Chen, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv
2025	J	`jnl`	AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. IEEE Trans. Knowl. Data Eng. Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock
2025	A*	`conf`	AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract). ICDE Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock
2025	A*	`conf`	AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. IJCAI Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	A*	`conf`	An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection. IJCAI Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	A*	`conf`	DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification. AAAI Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock
2025	A*	`conf`	DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification. IJCAI Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock
2025	A*	`conf`	Detecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation. ICDM Yue Wang, Dehang Fu, Jie Tan, Junxiao Han, Yao Wan, Lixin Cui, Lu Bai, Philip S. Yu
2025	J	`jnl`	Dual-Modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System. IEEE Trans. Intell. Transp. Syst. Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Lixin Cui, Edwin R. Hancock
2025	A*	`conf`	ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks. ICML Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Lixiang Xu, Yue Wang, Edwin R. Hancock
2025	A*	`conf`	Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint. IJCAI Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	A*	`conf`	FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System. SIGIR Yuhan Hu, Ziyu Lyu, Lu Bai, Lixin Cui
2025	A*	`conf`	HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification. IJCAI Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	A*	`conf`	HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract). ICDE Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock
2025	—	`conf`	Hidden Market Patterns: A Spatio-Temporal Graph Auto-Encoder for Stock Price Forecasting and Portfolio Optimization Strategy. ICIC (15) Han Fu, Zhuo Xu, Zhipeng Cui, Lu Bai, Lixin Cui
2025	J	`jnl`	LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation. CoRR Lin Du, Lu Bai, Jincheng Li, Lixin Cui, Hangyuan Du, Lichi Zhang, Yuting Chen, Zhao Li
2025	—	`conf`	MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework. EMNLP (Findings) Yupeng Qi, Ziyu Lyu, Min Yang, Yanlin Wang, Lu Bai, Lixin Cui
2025	J	`jnl`	MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework. CoRR Yupeng Qi, Ziyu Lyu, Min Yang, Yanlin Wang, Lu Bai, Lixin Cui
2025	J	`jnl`	Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation. Inf. Sci. Jiandong Shi, Ming Li, Yuting Chen, Lixin Cui, Lu Bai
2025	—	`conf`	Research on the Resilience and Security in Chinese Robot Industry Comparative Analysis of Provincial - Level Disparities. WHICEB (2) Peilin Liu, Zhipeng Cui, Yu Duan, Lixin Cui, Lu Bai
2024	J	`jnl`	AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. CoRR Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
2024	J	`jnl`	Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. IEEE Trans. Knowl. Data Eng. Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
2024	J	`jnl`	Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System. CoRR Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Lixin Cui, Edwin R. Hancock
2024	J	`jnl`	ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks. CoRR Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Lixiang Xu, Edwin R. Hancock
2024	J	`jnl`	HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. IEEE Trans. Knowl. Data Eng. Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock
2024	A*	`conf`	HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. NeurIPS Lu Bai, Zhuo Xu, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
2024	J	`jnl`	HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. CoRR Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
2024	J	`jnl`	Knowledge Probing for Graph Representation Learning. CoRR Mingyu Zhao, Xingyu Huang, Ziyu Lyu, Yanlin Wang, Lixin Cui, Lu Bai
2024	J	`jnl`	Learning Aligned Vertex Convolutional Networks for Graph Classification. IEEE Trans. Neural Networks Learn. Syst. Lixin Cui, Lu Bai, Xiao Bai, Yue Wang, Edwin R. Hancock
2024	—	`conf`	Population Aging and High-Quality Economic Development: Based on Feature Selection and Empirical Analysis of Provincial Panel Data. WHICEB (3) Luomeng Zhang, Lixin Cui, Lu Bai
2024	J	`jnl`	QBER: Quantum-based Entropic Representations for un-attributed graphs. Pattern Recognit. Lixin Cui, Ming Li, Lu Bai, Yue Wang, Jing Li, Yanchao Wang, Zhao Li, Yunwen Chen, Edwin R. Hancock
2024	A*	`conf`	QBMK: Quantum-based Matching Kernels for Un-attributed Graphs. ICML Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
2024	J	`jnl`	SSHPool: The Separated Subgraph-based Hierarchical Pooling. CoRR Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
2024	J	`jnl`	Timetable synchronization of the last several trains at night in an urban rail transit network. Eur. J. Oper. Res. Di Zhang, Yuan Gao, Lixing Yang, Lixin Cui
2023	J	`jnl`	AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks. CoRR Lixin Cui, Ming Li, Yue Wang, Lu Bai, Edwin R. Hancock
2023	J	`jnl`	BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation. Pattern Recognit. Ming Li, Lin Zhang, Lixin Cui, Lu Bai, Zhao Li, Xindong Wu
2023	—	`conf`	C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling. GbRPR Rongji Ye, Lixin Cui, Luca Rossi, Yue Wang, Zhuo Xu, Lu Bai, Edwin R. Hancock
2023	J	`jnl`	Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis. IEEE Trans. Neural Networks Learn. Syst. Lu Bai, Lixin Cui, Zhihong Zhang, Lixiang Xu, Yue Wang, Edwin R. Hancock
2023	J	`jnl`	Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. IEEE Trans. Knowl. Data Eng. Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
2022	A*	`conf`	A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. ICML Lu Bai, Lixin Cui, Edwin R. Hancock
2022	B	`conf`	ABDPool: Attention-based Differentiable Pooling. ICPR Yue Liu, Lixin Cui, Yue Wang, Lu Bai
2022	J	`jnl`	Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. CoRR Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
2022	J	`jnl`	HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. CoRR Lu Bai, Lixin Cui, Yue Wang, Ming Li, Edwin R. Hancock
2022	J	`jnl`	Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. Lu Bai, Lixin Cui, Yuhang Jiao, Luca Rossi, Edwin R. Hancock
2022	A*	`conf`	Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). ICDE Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
2022	J	`jnl`	QESK: Quantum-based Entropic Subtree Kernels for Graph Classification. CoRR Lu Bai, Lixin Cui, Edwin R. Hancock
2022	J	`jnl`	Writing Style Aware Document-level Event Extraction. CoRR Zhuo Xu, Yue Wang, Lu Bai, Lixin Cui
2021	—	`conf`	ABAE: Utilize Attention to Boost Graph Auto-Encoder. PRICAI (2) Tianyu Liu, Yifan Li, Yujie Sun, Lixin Cui, Lu Bai
2021	J	`jnl`	Fused lasso for feature selection using structural information. Pattern Recognit. Lixin Cui, Lu Bai, Yue Wang, Philip S. Yu, Edwin R. Hancock
2021	J	`jnl`	Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection. Pattern Recognit. Lixin Cui, Lu Bai, Yanchao Wang, Xin Jin, Edwin R. Hancock
2021	J	`jnl`	Semi-supervised multi-Layer convolution kernel learning in credit evaluation. Pattern Recognit. Lixiang Xu, Lixin Cui, Thomas Weise, Xinlu Li, Zhize Wu, Feiping Nie, Enhong Chen, Yuanyan Tang
2020	J	`jnl`	A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. CoRR Lu Bai, Lixin Cui, Edwin R. Hancock
2020	J	`jnl`	A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted Graphs. IEEE Trans. Cybern. Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
2020	A*	`conf`	A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. IJCAI Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock
2020	—	`conf`	Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. S+SSPR Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock
2020	B	`conf`	Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. ICPR Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
2020	J	`jnl`	Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. CoRR Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
2020	J	`jnl`	Generative temporal link prediction via self-tokenized sequence modeling. World Wide Web Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
2020	—	`conf`	Graph Transformer: Learning Better Representations for Graph Neural Networks. S+SSPR Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock
2020	—	`conf`	LGL-GNN: Learning Global and Local Information for Graph Neural Networks. S+SSPR Huan Li, Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock
2020	J	`jnl`	Local-global nested graph kernels using nested complexity traces. Pattern Recognit. Lett. Lu Bai, Lixin Cui, Luca Rossi, Lixiang Xu, Xiao Bai, Edwin R. Hancock
2019	J	`jnl`	A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs. CoRR Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
2019	—	`conf`	An Attributed Graph Embedding Method Using the Tree-Index Algorithm. GbRPR Yuhang Jiao, Yueting Yang, Lixin Cui, Lu Bai
2019	J	`jnl`	Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking. CoRR Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu
2019	A*	`conf`	Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. ICDM Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu
2019	J	`jnl`	Deep depth-based representations of graphs through deep learning networks. Neurocomputing Lu Bai, Lixin Cui, Xiao Bai, Edwin R. Hancock
2019	J	`jnl`	Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis. CoRR Lu Bai, Lixin Cui, Lixiang Xu, Yue Wang, Zhihong Zhang, Edwin R. Hancock
2019	—	`conf`	Finding Potential Empathizers in an Online Mental Health Community: A Deep Graph Embedding Approach. ISPA/BDCloud/SocialCom/SustainCom Yibo Chai, Yahu Cong, Rui Sun, Fengyang Wu, Zhongliang Zhang, Yexing Wan, Lixin Cui
2019	J	`jnl`	Fused Lasso for Feature Selection using Structural Information. CoRR Lixin Cui, Lu Bai, Edwin R. Hancock
2019	J	`jnl`	Generative Temporal Link Prediction via Self-tokenized Sequence Modeling. CoRR Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
2019	J	`jnl`	Identifying the most informative features using a structurally interacting elastic net. Neurocomputing Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock
2019	—	`conf`	Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. ECML/PKDD (1) Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock
2019	J	`jnl`	Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. CoRR Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock
2019	J	`jnl`	Learning Vertex Convolutional Networks for Graph Classification. CoRR Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock
2019	—	`conf`	Loan Recommendation in P2P Lending Investment Networks: A Hybrid Graph Convolution Approach. IEEM Yibo Chai, Yahu Cong, Lu Bai, Lixin Cui
2019	—	`conf`	SOM Clustering Collaborative Filtering Algorithm Based on Singular Value Decomposition. ICMAI Xiaopan Ma, Dong Guo, Lixin Cui, Xiaojing Li, Xuru Jiang, Xin Chen
2019	—	`conf`	Wind Power Generation Prediction Based on LSTM. ICMAI Jinxia Zhang, Xuru Jiang, Xin Chen, Xiaojing Li, Dong Guo, Lixin Cui
2018	B	`conf`	A Deep Hybrid Graph Kernel Through Deep Learning Networks. ICPR Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock
2018	—	`conf`	A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs. S+SSPR Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Lixiang Xu, Edwin R. Hancock
2018	—	`conf`	A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels. S+SSPR Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock
2018	J	`jnl`	A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information. CoRR Lu Bai, Yuhang Jiao, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
2018	J	`jnl`	A combined Weisfeiler-Lehman graph kernel for structured data. Int. J. Wavelets Multiresolution Inf. Process. Lixiang Xu, Yuanyan Tang, Bin Luo, Lixin Cui, Xiu Chen, Jin Xiao
2018	—	`conf`	Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. S+SSPR Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang
2018	—	`conf`	Deep Co-Investment Network Learning for Financial Assets. ICBK Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018	J	`jnl`	Deep Co-investment Network Learning for Financial Assets. CoRR Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018	B	`conf`	Depth-based Subgraph Convolutional Neural Networks. ICPR Chuanyu Xu, Dong Wang, Zhihong Zhang, Beizhan Wang, Da Zhou, Guijun Ren, Lu Bai, Lixin Cui, Edwin R. Hancock
2018	—	`conf`	Directed Network Analysis Using Transfer Entropy Component Analysis. S+SSPR Meihong Wu, Yangbin Zeng, Zhihong Zhang, Haiyun Hong, Zhuobin Xu, Lixin Cui, Lu Bai, Edwin R. Hancock
2018	J	`jnl`	Identifying The Most Informative Features Using A Structurally Interacting Elastic Net. CoRR Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock
2018	—	`conf`	Market Abnormality Period Detection via Co-movement Attention Model. IEEE BigData Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018	—	`conf`	Single Image Super Resolution via Neighbor Reconstruction. S+SSPR Zhihong Zhang, Zhuobin Xu, Zhiling Ye, Yiqun Hu, Lixin Cui, Lu Bai
2018	J	`jnl`	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 Fei Xiao, Yue Wang, Yinan Mei, Lu Bai, Lixin Cui
2017	—	`conf`	A Nested Alignment Graph Kernel Through the Dynamic Time Warping Framework. GbRPR Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock
2017	—	`conf`	Adaptive Feature Selection Based on the Most Informative Graph-Based Features. GbRPR Lixin Cui, Yuhang Jiao, Lu Bai, Luca Rossi, Edwin R. Hancock
2017	J	`jnl`	Quantum kernels for unattributed graphs using discrete-time quantum walks. Pattern Recognit. Lett. Lu Bai, Luca Rossi, Lixin Cui, Zhihong Zhang, Peng Ren, Xiao Bai, Edwin R. Hancock
2017	—	`conf`	The bounds of premium and a fuzzy insurance model under risk aversion utility preference. ICNC-FSKD Ying Liu, Xiaozhong Li, Dan Wang, Lixin Cui
2016	B	`conf`	A novel entropy-based graph signature from the average mixing matrix. ICPR Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock
2016	B	`conf`	A transitive aligned Weisfeiler-Lehman subtree kernel. ICPR Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock
2016	B	`conf`	An edge-based matching kernel on commute-time spanning trees. ICPR Lu Bai, Lixin Cui, Francisco Escolano, Edwin R. Hancock
2016	—	`conf`	P2P Lending Analysis Using the Most Relevant Graph-Based Features. S+SSPR Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, Edwin R. Hancock
2016	B	`conf`	Shape classification with a vertex clustering graph kernel. ICPR Lu Bai, Lixin Cui, Yue Wang, Xin Jin, Xiao Bai, Edwin R. Hancock
2015	J	`jnl`	Applying the fuzzy SERVQUAL method to measure the service quality in certification & inspection industry. Appl. Soft Comput. Ru Liu, Lixin Cui, Guangfeng Zeng, Hongyan Wu, Chengjie Wang, Shan Yan, Bingyan Yan
2009	J	`jnl`	Online and Offline Social Ties of Social Network Website Users: An Exploratory Study in Eleven Societies. J. Comput. Inf. Syst. 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
2007	J	`jnl`	Principal-Agent Problem in a Fuzzy Environment. IEEE Trans. Fuzzy Syst. Lixin Cui, Ruiqing Zhao, Wansheng Tang