Lu Bai

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 95

Top Venues

University of York, UK (PHD)

Education History

University of York, UK

PHD

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)
Ming Li, Xiaosheng Zhuang, Lu Bai, Weiping Ding
Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction. Inf. Fusion 105 (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)
Zhihong Zhang, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin R. Hancock
Graph Motif Entropy for Understanding Time-Evolving Networks. 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)
Zhihui Wang, Zhiyuan Li, Jiaxu Leng, Ming Li, Lu Bai
Multiple Pedestrian Tracking With Graph Attention Map on Urban Road Scene. IEEE Trans. Intell. Transp. Syst. 24 (8) (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)
Jing Li, Bin Yang, Lu Bai, Hao Dou, Chang Li, Lingfei Ma
TFIV: Multigrained Token Fusion for Infrared and Visible Image via Transformer. IEEE Trans. Instrum. Meas. 72 (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, 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)
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, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaofeng Wang, Yuanyan Tang
Multiple graph kernel learning based on GMDH-type neural network. Inf. Fusion 66 (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)
Lixiang Xu, Lu Bai, Xiaoyi Jiang, Ming Tan, Daoqiang Zhang, Bin Luo
Deep Rényi entropy graph kernel. Pattern Recognit. 111 (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)
Zhihong Zhang, Yangbin Zeng, Lu Bai, Yiqun Hu, Meihong Wu, Shuai Wang, Edwin R. Hancock
Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks. Pattern Recognit. 105 (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)
Lixiang Xu, Xiaofeng Wang, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaoyi Jiang, Bin Luo
Probabilistic SVM classifier ensemble selection based on GMDH-type neural network. Pattern Recognit. 106 (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)
Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock
Quantum-based subgraph convolutional neural networks. Pattern Recognit. 88 (2019)
Zhihong Zhang, Dongdong Chen, Zeli Wang, Heng Li, Lu Bai, Edwin R. Hancock
Depth-based subgraph convolutional auto-encoder for network representation learning. Pattern Recognit. 90 (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)
Lu Bai, Lixin Cui, Xiao Bai, Edwin R. Hancock
Deep depth-based representations of graphs through deep learning networks. Neurocomputing 336 (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)
Lixiang Xu, Xiaoyi Jiang, Lu Bai, Jin Xiao, Bin Luo
A hybrid reproducing graph kernel based on information entropy. Pattern Recognit. 73 (2018)
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)
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)
Zhiling Ye, Zhihong Zhang, Lu Bai, Guosheng Hu, Zheng-Jian Bai, Yiqun Hu, Edwin R. Hancock
A Unified Neighbor Reconstruction Method for Embeddings. ICPR (2018)
Xiao Bai, Fan Xu, Lei Zhou, Yan Xing, Lu Bai, Jun Zhou
Nonlocal Similarity Based Nonnegative Tucker Decomposition for Hyperspectral Image Denoising. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (3) (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)
Xiao Bai, Cheng Yan, Haichuan Yang, Lu Bai, Jun Zhou, Edwin Robert Hancock
Adaptive hash retrieval with kernel based similarity. Pattern Recognit. 75 (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)
Yun Liu, Chen Wang, Yang Wang, Xiao Bai, Jun Zhou, Lu Bai
Differential weights-based band selection for hyperspectral image classification. Int. J. Wavelets Multiresolution Inf. Process. 15 (6) (2017)
Zhihong Zhang, Yiyang Tian, Lu Bai, Jianbing Xiahou, Edwin R. Hancock
High-order covariate interacted Lasso for feature selection. Pattern Recognit. Lett. 87 (2017)
Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock
A Nested Alignment Graph Kernel Through the Dynamic Time Warping Framework. GbRPR (2017)
Bingbing Han, Zhihong Zhang, Chuanyu Xu, Beizhan Wang, Guosheng Hu, Lu Bai, Qingqi Hong, Edwin R. Hancock
Deep Face Model Compression Using Entropy-Based Filter Selection. ICIAP (2) (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)
Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock
Joint hypergraph learning and sparse regression for feature selection. Pattern Recognit. 63 (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)
Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng
Fast K-means for Large Scale Clustering. CIKM (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, Francisco Escolano, Edwin R. Hancock
Depth-based hypergraph complexity traces from directed line graphs. Pattern Recognit. 54 (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)
Cheng Yan, Xiao Bai, Peng Ren, Lu Bai, Wenzhong Tang, Jun Zhou
Band Weighting via Maximizing Interclass Distance for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 13 (7) (2016)
Zhihong Zhang, Yuanheng Liang, Lu Bai, Edwin R. Hancock
Discriminative sparse representation for face recognition. Multim. Tools Appl. 75 (7) (2016)
Xiao Bai, Cheng Yan, Peng Ren, Lu Bai, Jun Zhou
Discriminative sparse neighbor coding. Multim. Tools Appl. 75 (7) (2016)
Haichuan Yang, Xiao Bai, Yanzhen Liu, Yanyang Wang, Lu Bai, Jun Zhou, Wenzhong Tang
Maximum margin hashing with supervised information. Multim. Tools Appl. 75 (7) (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)
Yue Wang, Lu Bai
Link prediction via Supervised Dynamic Network Formation. ICPR (2016)
Zhihong Zhang, Lu Bai, Peng Ren, Edwin R. Hancock
High-order graph matching kernel for early carcinoma EUS image classification. Multim. Tools Appl. 75 (7) (2016)
Lu Bai, Edwin R. Hancock
Fast depth-based subgraph kernels for unattributed graphs. Pattern Recognit. 50 (2016)
Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock
Adaptive Graph Learning for Unsupervised Feature Selection. CAIP (1) (2015)
Lu Bai, Zhihong Zhang, Chaoyan Wang, Xiao Bai, Edwin R. Hancock
A Graph Kernel Based on the Jensen-Shannon Representation Alignment. IJCAI (2015)
Lu Bai, Zhihong Zhang, Peng Ren, Edwin R. Hancock
A High-Order Depth-Based Graph Matching Method. CAIP (1) (2015)
Lu Bai, Zhihong Zhang, Peng Ren, Luca Rossi, Edwin R. Hancock
An Edge-Based Matching Kernel Through Discrete-Time Quantum Walks. ICIAP (1) (2015)
Lu Bai, Luca Rossi, Zhihong Zhang, Edwin R. Hancock
An Aligned Subtree Kernel for Weighted Graphs. ICML (2015)
Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock
Unsupervised Feature Selection by Graph Optimization. ICIAP (1) (2015)
Zhihong Zhang, Jianbing Xiahou, Lu Bai, Edwin R. Hancock
Coupled-Feature Hypergraph Representation for Feature Selection. GbRPR (2015)
Lu Bai, Luca Rossi, Andrea Torsello, Edwin R. Hancock
A quantum Jensen-Shannon graph kernel for unattributed graphs. Pattern Recognit. 48 (2) (2015)
Lu Bai, Zhihong Zhang, Chaoyan Wang, Edwin R. Hancock
An Edge-Based Matching Kernel for Graphs Through the Directed Line Graphs. CAIP (2) (2015)
Lu Bai, Luca Rossi, Peng Ren, Zhihong Zhang, Edwin R. Hancock
A Quantum Jensen-Shannon Graph Kernel Using Discrete-Time Quantum Walks. GbRPR (2015)
Lu Bai, Peng Ren, Edwin R. Hancock
A Hypergraph Kernel from Isomorphism Tests. ICPR (2014)
Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, Lu Bai
Semi-randomized hashing for large scale data retrieval. DSAA (2014)
Lu Bai, Horst Bunke, Edwin R. Hancock
An Attributed Graph Kernel from the Jensen-Shannon Divergence. ICPR (2014)
Lu Bai, Luca Rossi, Horst Bunke, Edwin R. Hancock
Attributed Graph Kernels Using the Jensen-Tsallis q-Differences. ECML/PKDD (1) (2014)
Lu Bai, Edwin R. Hancock
Depth-based complexity traces of graphs. Pattern Recognit. 47 (3) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lu Bai