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2020 – today
- 2025
[j24]Jiandong Shi
, Ming Li, Yuting Chen, Lixin Cui, Lu Bai:
Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation. Inf. Sci. 686: 121393 (2025)- 2024
- [j23]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): 494-512 (2024) - [j22]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: 109877 (2024) - [j21]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): 475-489 (2024) - [j20]Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock:
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. IEEE Trans. Knowl. Data Eng. 36(11): 6370-6384 (2024) - [j19]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): 4423-4437 (2024) - [c36]Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock:
QBMK: Quantum-based Matching Kernels for Un-attributed Graphs. ICML 2024 - [c35]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: 50-62 - [i23]Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock:
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. CoRR abs/2403.16130 (2024) - [i22]Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock:
SSHPool: The Separated Subgraph-based Hierarchical Pooling. CoRR abs/2403.16133 (2024) - [i21]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 abs/2403.16227 (2024) - [i20]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 abs/2405.10218 (2024) - [i19]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 abs/2405.14742 (2024) - [i18]Mingyu Zhao, Xingyu Huang, Ziyu Lyu, Yanlin Wang, Lixin Cui, Lu Bai:
Knowledge Probing for Graph Representation Learning. CoRR abs/2408.03877 (2024) - 2023
- [j18]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: 109874 (2023) - [j17]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): 1747-1760 (2023) - [j16]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): 1808-1822 (2023) - [c34]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: 70-80 - [i17]Lixin Cui, Ming Li, Yue Wang, Lu Bai, Edwin R. Hancock:
AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks. CoRR abs/2303.03396 (2023) - 2022
- [j15]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): 783-798 (2022) - [c33]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: 3132-3133 - [c32]Lu Bai, Lixin Cui, Edwin R. Hancock:
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. ICML 2022: 1327-1336 - [c31]Yue Liu, Lixin Cui, Yue Wang, Lu Bai:
ABDPool: Attention-based Differentiable Pooling. ICPR 2022: 3021-3026 - [i16]Zhuo Xu, Yue Wang, Lu Bai, Lixin Cui:
Writing Style Aware Document-level Event Extraction. CoRR abs/2201.03188 (2022) - [i15]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 abs/2206.07472 (2022) - [i14]Lu Bai, Lixin Cui, Yue Wang, Ming Li, Edwin R. Hancock:
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. CoRR abs/2211.02904 (2022) - [i13]Lu Bai, Lixin Cui, Edwin R. Hancock:
QESK: Quantum-based Entropic Subtree Kernels for Graph Classification. CoRR abs/2212.05228 (2022) - 2021
- [j14]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: 107835 (2021) - [j13]Lixin Cui, Lu Bai, Yue Wang, Philip S. Yu, Edwin R. Hancock:
Fused lasso for feature selection using structural information. Pattern Recognit. 119: 108058 (2021) - [j12]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: 108125 (2021) - [c30]Tianyu Liu, Yifan Li, Yujie Sun, Lixin Cui, Lu Bai:
ABAE: Utilize Attention to Boost Graph Auto-Encoder. PRICAI (2) 2021: 337-348 - 2020
- [j11]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: 87-95 (2020) - [j10]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): 1264-1277 (2020) - [j9]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): 2471-2488 (2020) - [c29]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: 278-285 - [c28]Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock:
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. IJCAI 2020: 4453-4460 - [c27]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: 129-138 - [c26]Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock:
Graph Transformer: Learning Better Representations for Graph Neural Networks. S+SSPR 2020: 139-149 - [c25]Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock:
Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. S+SSPR 2020: 184-194 - [i12]Lu Bai, Lixin Cui, Edwin R. Hancock:
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. CoRR abs/2002.04425 (2020) - [i11]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 abs/2010.06310 (2020)
2010 – 2019
- 2019
- [j8]Lu Bai, Lixin Cui, Xiao Bai, Edwin R. Hancock:
Deep depth-based representations of graphs through deep learning networks. Neurocomputing 336: 3-12 (2019) - [j7]Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock:
Identifying the most informative features using a structurally interacting elastic net. Neurocomputing 336: 13-26 (2019) - [c24]Yuhang Jiao, Yueting Yang, Lixin Cui, Lu Bai:
An Attributed Graph Embedding Method Using the Tree-Index Algorithm. GbRPR 2019: 172-182 - [c23]Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu:
Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. ICDM 2019: 1366-1371 - [c22]Xiaopan Ma, Dong Guo, Lixin Cui, Xiaojing Li, Xuru Jiang, Xin Chen:
SOM Clustering Collaborative Filtering Algorithm Based on Singular Value Decomposition. ICMAI 2019: 61-65 - [c21]Jinxia Zhang, Xuru Jiang, Xin Chen, Xiaojing Li, Dong Guo, Lixin Cui:
Wind Power Generation Prediction Based on LSTM. ICMAI 2019: 85-89 - [c20]Yibo Chai, Yahu Cong, Lu Bai, Lixin Cui:
Loan Recommendation in P2P Lending Investment Networks: A Hybrid Graph Convolution Approach. IEEM 2019: 945-949 - [c19]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: 1646-1651 - [c18]Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock:
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. ECML/PKDD (1) 2019: 464-482 - [i10]Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock:
Learning Vertex Convolutional Networks for Graph Classification. CoRR abs/1902.09936 (2019) - [i9]Lixin Cui, Lu Bai, Edwin R. Hancock:
Fused Lasso for Feature Selection using Structural Information. CoRR abs/1902.09947 (2019) - [i8]Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock:
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. CoRR abs/1904.04238 (2019) - [i7]Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock:
A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs. CoRR abs/1904.13239 (2019) - [i6]Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu:
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking. CoRR abs/1908.04573 (2019) - [i5]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 abs/1910.09153 (2019) - [i4]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 abs/1911.11486 (2019) - 2018
- [j6]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): 1850039:1-1850039:19 (2018) - [j5]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): 268-278 (2018) - [c17]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: 1514-1523 - [c16]Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui:
Deep Co-Investment Network Learning for Financial Assets. ICBK 2018: 41-48 - [c15]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: 1024-1029 - [c14]Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock:
A Deep Hybrid Graph Kernel Through Deep Learning Networks. ICPR 2018: 1030-1035 - [c13]Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang:
Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. S+SSPR 2018: 227-236 - [c12]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: 237-247 - [c11]Zhihong Zhang, Zhuobin Xu, Zhiling Ye, Yiqun Hu, Lixin Cui, Lu Bai:
Single Image Super Resolution via Neighbor Reconstruction. S+SSPR 2018: 406-415 - [c10]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: 491-500 - [c9]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: 501-511 - [i3]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 abs/1809.01090 (2018) - [i2]Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock:
Identifying The Most Informative Features Using A Structurally Interacting Elastic Net. CoRR abs/1809.02860 (2018) - [i1]Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui:
Deep Co-investment Network Learning for Financial Assets. CoRR abs/1809.04227 (2018) - 2017
- [j4]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: 96-103 (2017) - [c8]Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock:
A Nested Alignment Graph Kernel Through the Dynamic Time Warping Framework. GbRPR 2017: 59-69 - [c7]Lixin Cui, Yuhang Jiao, Lu Bai, Luca Rossi, Edwin R. Hancock:
Adaptive Feature Selection Based on the Most Informative Graph-Based Features. GbRPR 2017: 276-287 - [c6]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: 1357-1362 - 2016
- [c5]Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock:
A transitive aligned Weisfeiler-Lehman subtree kernel. ICPR 2016: 396-401 - [c4]Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock:
A novel entropy-based graph signature from the average mixing matrix. ICPR 2016: 1339-1344 - [c3]Lu Bai, Lixin Cui, Francisco Escolano, Edwin R. Hancock:
An edge-based matching kernel on commute-time spanning trees. ICPR 2016: 2103-2108 - [c2]Lu Bai, Lixin Cui, Yue Wang, Xin Jin, Xiao Bai, Edwin R. Hancock:
Shape classification with a vertex clustering graph kernel. ICPR 2016: 2634-2639 - [c1]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: 3-14 - 2015
- [j3]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: 508-512 (2015)
2000 – 2009
- 2009
- [j2]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): 54-64 (2009) - 2007
- [j1]Lixin Cui, Ruiqing Zhao, Wansheng Tang:
Principal-Agent Problem in a Fuzzy Environment. IEEE Trans. Fuzzy Syst. 15(6): 1230-1237 (2007)
Coauthor Index
[j24] [j22] [j21] [j20] [j19] [c36] [c35] [i23] [i22] [i21] [i20] [i19] [i18] [j18] [j17] [j16] [c34] [i17] [j15] [c33] [c32] [c31] [i16] [i15] [i14] [i13] [j14] [j13] [c30] [j11] [j10] [j9] [c29] [c28] [c27] [c26] [c25] [i12] [i11] [j8] [j7] [c24] [c23] [c20] [c18] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [j5] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [i3] [i2] [i1] [j4] [c8] [c7] [c5] [c4] [c3] [c2] [c1]
[j22] [j21] [j20] [j19] [c36] [i23] [i22] [i21] [i20] [i19] [j17] [j16] [c34] [i17] [j15] [c33] [c32] [i15] [i14] [i13] [j14] [j13] [j11] [j10] [c29] [c28] [c27] [c26] [c25] [i12] [i11] [j8] [j7] [c18] [i10] [i9] [i8] [i7] [i5] [c15] [c14] [c12] [c10] [c9] [i3] [i2] [j4] [c8] [c7] [c5] [c4] [c3] [c2] [c1]
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