Xinhai Liu
Orcid: 0000-0003-4200-4862
According to our database1,
Xinhai Liu
authored at least 27 papers
between 2009 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
D-Net: Learning for distinctive point clouds by self-attentive point searching and learnable feature fusion.
Comput. Aided Geom. Des., July, 2023
2022
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction With Self-Projection Optimization.
IEEE Trans. Image Process., 2022
2021
IEEE Trans. Image Process., 2021
2020
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds Using Spatial-Aware Capsules.
IEEE Trans. Image Process., 2020
CoRR, 2020
LRC-Net: Learning discriminative features on point clouds by encoding local region contexts.
Comput. Aided Geom. Des., 2020
2019
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2017
Proceedings of the Intelligence and Security Informatics - 12th Pacific Asia Workshop, 2017
A Structural Based Community Similarity Algorithm and Its Application in Scientific Event Detection.
Proceedings of the Intelligence and Security Informatics - 12th Pacific Asia Workshop, 2017
Event Detection in Scientific Mapping based on a Novel Structural Community Similarity Algorithm.
Proceedings of the 16th International Conference on Scientometrics and Informetrics, 2017
2016
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016
2015
2014
Causal inference from financial factors: Continuous variable based local structure learning algorithm.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014
2013
Int. J. Comput. Biol. Drug Des., 2013
2012
Optimal and hierarchical clustering of large-scale hybrid networks for scientific mapping.
Scientometrics, 2012
IEEE Trans. Pattern Anal. Mach. Intell., 2012
2011
Learning from Multi-View Data: Clustering Algorithm and Text Mining Application (Leren van multi-view gegevens: clustering algoritme en text mining toepassing).
PhD thesis, 2011
Scientometrics, 2011
2010
J. Informetrics, 2010
Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database.
J. Assoc. Inf. Sci. Technol., 2010
Proceedings of the Advances in Neural Networks, 2010
2009
Proceedings of the SIAM International Conference on Data Mining, 2009
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis.
Proceedings of the ICDM Workshops 2009, 2009