Xinhai Liu

ORCID

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 21

Top Venues

CoRR

IEEE Trans. Image Process.

PAISI

Comput. Aided Geom. Des.

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Xinhai Liu, Zhizhong Han, Sanghuk Lee, Yan-Pei Cao, Yu-Shen Liu
D-Net: Learning for distinctive point clouds by self-attentive point searching and learnable feature fusion. Comput. Aided Geom. Des. 104 (2023)
Xinhai Liu, Zhizhong Han, Sanghuk Lee, Yan-Pei Cao, Yu-Shen Liu
D-Net: Learning for Distinctive Point Clouds by Self-Attentive Point Searching and Learnable Feature Fusion. CoRR (2023)
Xinhai Liu, Xinchen Liu, Yu-Shen Liu, Zhizhong Han
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction With Self-Projection Optimization. IEEE Trans. Image Process. 31 (2022)
Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
Fine-Grained 3D Shape Classification With Hierarchical Part-View Attention. IEEE Trans. Image Process. 30 (2021)
Xin Wen, Zhizhong Han, Xinhai Liu, Yu-Shen Liu
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds Using Spatial-Aware Capsules. IEEE Trans. Image Process. 29 (2020)
Xinhai Liu, Xinchen Liu, Zhizhong Han, Yu-Shen Liu
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization. CoRR (2020)
Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker
LRC-Net: Learning discriminative features on point clouds by encoding local region contexts. Comput. Aided Geom. Des. 79 (2020)
Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions. CoRR (2020)
Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding Local Region Contexts. CoRR (2020)
Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network. AAAI (2019)
Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. CoRR (2019)
Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. ACM Multimedia (2019)
Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. CoRR (2019)
Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. IJCAI (2019)
Xin Wen, Zhizhong Han, Xinhai Liu, Yu-Shen Liu
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules. CoRR (2019)
Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network. CoRR (2018)
XiangFeng Meng, Yunhai Tong, Xinhai Liu, Yiren Chen, Shaohua Tan
NetRating: Credit Risk Evaluation for Loan Guarantee Chain in China. PAISI (2017)
XiangFeng Meng, Yunhai Tong, Xinhai Liu, Yiren Chen, Shaohua Tan
A Structural Based Community Similarity Algorithm and Its Application in Scientific Event Detection. PAISI (2017)
XiangFeng Meng, Xinhai Liu, Yan Zhang, Wolfgang Glänzel
Event Detection in Scientific Mapping based on a Novel Structural Community Similarity Algorithm. ISSI (2017)
Shaohua Tan, Xinhai Liu, Shuai Zhao, Yunhai Tong
Correlating Twitter with the stock market through non-Gaussian SVAR. ICACI (2016)
XiangFeng Meng, Xinhai Liu, Yunhai Tong, Wolfgang Glänzel, Shaohua Tan
Multi-view clustering with exemplars for scientific mapping. Scientometrics 105 (3) (2015)
Jianjun Yang, Yunhai Tong, Xinhai Liu, Shaohua Tan
Causal inference from financial factors: Continuous variable based local structure learning algorithm. CIFEr (2014)
Adeshola A. Adefioye, Xinhai Liu, Bart De Moor
Multi-view spectral clustering and its chemical application. Int. J. Comput. Biol. Drug Des. 6 (1/2) (2013)
Xinhai Liu, Shuiwang Ji, Wolfgang Glänzel, Bart De Moor
Multiview Partitioning via Tensor Methods. IEEE Trans. Knowl. Data Eng. 25 (5) (2013)
Xinhai Liu, Wolfgang Glänzel, Bart De Moor
Optimal and hierarchical clustering of large-scale hybrid networks for scientific mapping. Scientometrics 91 (2) (2012)
Shi Yu, Léon-Charles Tranchevent, Xinhai Liu, Wolfgang Glänzel, Johan A. K. Suykens, Bart De Moor, Yves Moreau
Optimized Data Fusion for Kernel k-Means Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 34 (5) (2012)
Xinhai Liu, Wolfgang Glänzel, Bart De Moor
Hybrid clustering of multi-view data via Tucker-2 model and its application. Scientometrics 88 (3) (2011)
Shi Yu, Xinhai Liu, Léon-Charles Tranchevent, Wolfgang Glänzel, Johan A. K. Suykens, Bart De Moor, Yves Moreau
Optimized data fusion for K-means Laplacian clustering. Bioinform. 27 (1) (2011)
Xinhai Liu, Lieven De Lathauwer, Frizo A. L. Janssens, Bart De Moor
Hybrid Clustering of Multiple Information Sources via HOSVD. ISNN (2) (2010)
Xinhai Liu, Shi Yu, Frizo A. L. Janssens, Wolfgang Glänzel, Yves Moreau, Bart De Moor
Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database. J. Assoc. Inf. Sci. Technol. 61 (6) (2010)
Lin Zhang, Xinhai Liu, Frizo A. L. Janssens, Liming Liang, Wolfgang Glänzel
Subject clustering analysis based on ISI category classification. J. Informetrics 4 (2) (2010)
Xinhai Liu, Shi Yu, Yves Moreau, Bart De Moor, Wolfgang Glänzel, Frizo A. L. Janssens
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets. SDM (2009)
Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janssens, Bart De Moor, Wolfgang Glänzel
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis. ICDM Workshops (2009)

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Publication Activity (10 Years)

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Xinhai Liu