Items where authors include "Bai, Lu"

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Number of items: 44.

Article

Wang, Yue, Wan, Yao, Bai, Lu et al. (5 more authors) (2024) Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. IEEE Transactions on Knowledge and Data Engineering. pp. 475-489. ISSN 1041-4347

Cui, Lixin, Li, Ming, Bai, Lu et al. (6 more authors) (2024) QBER: Quantum-based Entropic Representations for Un-attributed Graphs. Pattern Recognition. 109877. ISSN 0031-3203

Bai, Lu, Cui, Lixin, xu, lixiang et al. (3 more authors) (2023) Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis. IEEE Transactions on Neural Networks and Learning Systems. pp. 1808-1822. ISSN 2162-237X

Cui, Lixin, Bai, Lu, Xiao, Bai et al. (2 more authors) (2021) Learning Aligned Vertex Convolutional Networks for Graph Classification. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X

Bai, Lu, Jiao, Yuhang, Cui, Lixin et al. (4 more authors) (2021) Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation. IEEE Transactions on Knowledge and Data Engineering. ISSN 1041-4347

Bai, Lu, Cui, Lixin, Wang, Yue et al. (2 more authors) (2021) Fused Lasso for Feature Selection using Structural Information. Pattern Recognition. 108058. ISSN 0031-3203

Cui, Lixin, Bai, Lu, Wang, Yanchao et al. (2 more authors) (2021) Internet Financing Credit Risk Evaluation Using Multiple Structural Interacting Elastic Net Feature Selection. Pattern recognition. 107835. ISSN 0031-3203

Zhang, Zhi Hong, Chen, Dongdong, Bai, Lu et al. (2 more authors) (2020) Graph Motif Entropy For Understanding Time-Evolving Networks. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X (In Press)

Bai, Lu, Cui, Lixin, Jiao, Yuhang et al. (2 more authors) (2020) Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. pp. 783-798. ISSN 0162-8828 (In Press)

Zhang, Zhihong, Zeng, Yangbin, Bai, Lu et al. (4 more authors) (2019) Spectral Bounding : Strictly Satisfying the 1-Lipschitz Property for Generative Adversarial Networks. Pattern Recognition. 107179. ISSN 0031-3203 (In Press)

Zhang, Zhihong, Chen, Dongdong, Wang, Zeli et al. (3 more authors) (2019) Depth-based Subgraph Convolutional Auto-Encoder for Network Representation Learning. Pattern Recognition. pp. 363-376. ISSN 0031-3203

Bai, Lu, Rossi, Luca, Cui, Lixin et al. (2 more authors) (2019) A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs. IEEE Transactions on Cybernetics. pp. 1264-1277. ISSN 2168-2267

Zhang, Zhihong, Chen, Dongdong, Wang, Jianjia et al. (2 more authors) (2018) Quantum-based subgraph convolutional neural networks. Pattern recognition. 38 - 49. ISSN 0031-3203

Cui, Lixin, Bai, Lu, Zhang, Zhihong et al. (2 more authors) (2018) Identifying the most informative features using a structurally interacting elastic net. Neurocomputing. pp. 1-14. ISSN 0925-2312

Bai, Lu, Cui, Lixin, Rossi, Luca et al. (3 more authors) (2018) Local-global nested graph kernels using nested complexity traces. Pattern Recognition Letters. ISSN 0167-8655

Bai, Lu, Cui, Lixin, Bai, Xiao et al. (1 more author) (2018) Deep depth-based representations of graphs through deep learning networks. Neurocomputing. ISSN 0925-2312

Zhang, Zhihong, Bai, Lu, Liang, Yuanheng et al. (1 more author) (2017) Joint Hypergraph Learning and Sparse Regression for Feature Selection. Pattern Recognition. pp. 291-309. ISSN 0031-3203

Zhang, Zhihong, Tian, Yiyang, Bai, Lu et al. (2 more authors) (2017) High-order covariate interacted Lasso for feature selection. Pattern Recognition Letters. 139 - 146. ISSN 0167-8655

Bai, Lu, Rossi, Luca, Cui, Lixin et al. (4 more authors) (2016) Quantum Jensen-Shannon Graph Kernels using Discrete-time Quantum Walks. Pattern Recognition Letters. ISSN 0167-8655

Bai, Lu and Hancock, Edwin R orcid.org/0000-0003-4496-2028 (2016) Fast depth-based subgraph kernels for unattributed graphs. Pattern Recognition. pp. 233-245. ISSN 0031-3203

Bai, Lu, Escolano, Francisco and Hancock, Edwin R orcid.org/0000-0003-4496-2028 (2016) Depth-based Hypergraph Complexity Traces from Directed Line Graphs. Pattern Recognition. pp. 229-240. ISSN 0031-3203

Zhang, Zhihong, Liang, Yuanheng, Bai, Lu et al. (1 more author) (2016) Discriminative sparse representation for face recognition. Multimedia Tools and Applications. 3973–3992. ISSN 1573-7721

Zhang, Zhihong, Bai, Lu, Ren, Peng et al. (1 more author) (2016) High-order graph matching kernel for early carcinoma EUS image classification. Multimedia Tools and Applications. 3993–4012. ISSN 1573-7721

Bai, Lu, Rossi, Luca, Torsello, Andrea et al. (1 more author) (2014) A quantum Jensen-Shannon graph kernel for unattributed graphs. Pattern Recognition. pp. 344-355. ISSN 0031-3203

Conference or Workshop Item

Cui, Lixin, Bai, Lu, Rossi, Luca et al. (1 more author) (2018) A Deep Hybrid Graph Kernel through Deep Learning Networks. In: 24th International Conference on Pattern Recognition, 21-24 Aug 2018. (In Press)

Zhang, Zhihong, Hancock, Edwin R orcid.org/0000-0003-4496-2028, Bai, Lu et al. (1 more author) (2018) Depth-Based Subgraph Convolutional Neural Networks. In: 24th International Conference on Pattern Recognition, 21-24 Aug 2018. (In Press)

Hancock, Edwin R orcid.org/0000-0003-4496-2028, Zhang, Zhi Hong and Bai, Lu (2018) A Unified Neighbor Reconstruction Method for Embeddings. In: 24th International Conference on Pattern Recognition, 21-24 Aug 2018. (In Press)

Proceedings Paper

Bai, Lu, Cui, Lixin and Hancock, Edwin R orcid.org/0000-0003-4496-2028 (2022) A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. In: International Conference on Machine Learning, 17-23 July 2022, Baltimore, Maryland, USA. UNSPECIFIED. Proceedings of Machine Learning Research . ML Research Press , pp. 1327-1336. (In Press)

Bai, Lu, Jiao, Yuhang, Cui, Lixin et al. (4 more authors) (2022) Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation. In: International conference on data engineering. UNSPECIFIED. International Conference on Data Engineering . IEEE .

Wang, Yue, Xu, Zhuo, Bai, Lu et al. (5 more authors) (2021) Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. In: 2020 25th International Conference on Pattern Recognition (ICPR). UNSPECIFIED. , pp. 278-285.

Cui, Lixin, Zhang, Lichi, Bai, Lu et al. (2 more authors) (2021) Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. In: Torsello, Andrea, Rossi, Luca, Pelillo, Marcello, Biggio, Battista and Robles-Kelly, Antonio, (eds.) Structural, Syntactic, and Statistical Pattern Recognition. UNSPECIFIED. Springer , Cham , pp. 184-194.

Wang, Boyuan, Cui, Lixin, Bai, Lu et al. (1 more author) (2021) Graph Transformer: Learning Better Representations for Graph Neural Networks. In: Torsello, Andrea, Rossi, Luca, Pelillo, Marcello, Biggio, Battista and Robles-Kelly, Antonio, (eds.) Structural, Syntactic, and Statistical Pattern Recognition. UNSPECIFIED. Springer , Cham , pp. 139-149.

Li, Huan, Wang, Boyuan, Cui, Lixin et al. (2 more authors) (2021) LGL-GNN: Learning Global and Local Information for Graph Neural Networks. In: Torsello, Andrea, Rossi, Luca, Pelillo, Marcello, Biggio, Battista and Robles-Kelly, Antonio, (eds.) Structural, Syntactic, and Statistical Pattern Recognition. UNSPECIFIED. Springer , Cham , pp. 129-138.

Bai, Lu, Cui, Lixin, Wang, Yue et al. (2 more authors) (2020) A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI-20. International Joint Conference on Artificial Intelligence, 11-17 Jul 2020. International Joint Conferences on Artificial Intelligence Organization , JPN , pp. 4453-4460.

Bai, Lu, Jiao, Yuhang, Cui, Lixin et al. (1 more author) (2020) Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. In: Brefeld, Ulf, Fromont, Elisa, Hotho, Andreas, Knobbe, Arno, Maathuis, Marloes and Robardet, Céline, (eds.) Machine Learning and Knowledge Discovery in Databases. UNSPECIFIED. Lecture Notes in Computer Science . Springer , Cham , pp. 464-482.

Han, Bingbing, Zhang, Zhihong, Xu, Chuanyu et al. (5 more authors) (2017) Deep Face Model Compression Using Entropy-based Filter Selection. In: Proceedings ICIAP 2017:Lecture Notes in Computer Science. UNSPECIFIED. Springer , pp. 127-136.

Bai, Lu, Rossi, Luca, Cui, Lixin et al. (1 more author) (2017) A Nested Alignment Graph Kernel through the Dynamic Time Warping Framework. In: Graph-Based Representations in Pattern Recognition - 11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 16-18, 2017, Proceedings. UNSPECIFIED. Springer , pp. 59-69.

Cui, Lixin, Bai, Lu, Wang, Yue orcid.org/0000-0002-2482-005X et al. (3 more authors) (2016) P2P Lending Analysis Using the Most Relevant Graph-Based Features. In: Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings. UNSPECIFIED. Lecture Notes in Computer Science . Springer , pp. 3-14.

Bai, Lu, Rossi, Luca and Hancock, Edwin R orcid.org/0000-0003-4496-2028 (2015) An Aligned Subtree Kernel for Weighted Graphs. In: International Conference on Machine Learning (ICML) 2015. UNSPECIFIED. , pp. 30-39.

Bai, Lu, Zhang, Zhihong and Hancock, Edwin R orcid.org/0000-0003-4496-2028 (2015) A Graph Kernel based on Jensen-Shannon Representation. In: International Joint Conference on Artificial Intelligence (IJCAI). UNSPECIFIED. .

Bai, Lu, Ren, Peng, Escolano, Francisco et al. (1 more author) (2014) Depth-Based Complexity Traces of Hypergraphs from Directed Line Graphs. In: Proceedings of the 22nd International Conference on Pattern Recognition. 22nd International Conference on Pattern Recognition, 24-28 Aug 2014. IEEE Computer Society , SWE .

Torsello, Andrea, Gasparetto, Andrea, Rossi, Luca et al. (2 more authors) (2014) Transitive state alignment for the quantum jensen-shannon kernel. In: Fränti,, Pasi, Brown, Gavin, Loog, Marco, Escolano, Francisco and Pelillo, Marcello, (eds.) Structural, Syntactic, and Statistical Pattern Recognition:Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014. Proceedings. Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2014, 20-22 Aug 2014. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer , GBR , pp. 22-31.

Preprint

Wang, Yue, Wan, Yao, Bai, Lu et al. (5 more authors) (2022) Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. [Preprint]

Bai, Lu, Cui, Lixin and Hancock, Edwin R. orcid.org/0000-0003-4496-2028 (2020) A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. [Preprint]

This list was generated on Sat Mar 23 05:35:16 2024 GMT.