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Xinhai Liu
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2020 – today
- 2024
- [i9]Takeshi Noda, Chao Chen, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong Han:
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step. CoRR abs/2411.01208 (2024) - 2023
- [j14]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: 102206 (2023) - [i8]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 abs/2305.05842 (2023) - 2022
- [j13]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: 4213-4226 (2022) - 2021
- [j12]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Fine-Grained 3D Shape Classification With Hierarchical Part-View Attention. IEEE Trans. Image Process. 30: 1744-1758 (2021) - 2020
- [j11]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: 101859 (2020) - [j10]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: 8855-8869 (2020) - [i7]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 abs/2003.08240 (2020) - [i6]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions. CoRR abs/2005.12541 (2020) - [i5]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 abs/2012.04439 (2020)
2010 – 2019
- 2019
- [c11]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: 8778-8785 - [c10]Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker:
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. IJCAI 2019: 766-773 - [c9]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: 989-997 - [i4]Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker:
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. CoRR abs/1905.07506 (2019) - [i3]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 abs/1908.00720 (2019) - [i2]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 abs/1908.11026 (2019) - 2018
- [i1]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 abs/1811.02565 (2018) - 2017
- [c8]XiangFeng Meng, Xinhai Liu, Yan Zhang, Wolfgang Glänzel:
Event Detection in Scientific Mapping based on a Novel Structural Community Similarity Algorithm. ISSI 2017: 258-269 - [c7]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: 67-82 - [c6]XiangFeng Meng, Yunhai Tong, Xinhai Liu, Yiren Chen, Shaohua Tan:
NetRating: Credit Risk Evaluation for Loan Guarantee Chain in China. PAISI 2017: 99-108 - 2016
- [c5]Shaohua Tan, Xinhai Liu, Shuai Zhao, Yunhai Tong:
Correlating Twitter with the stock market through non-Gaussian SVAR. ICACI 2016: 257-264 - 2015
- [j9]XiangFeng Meng, Xinhai Liu, Yunhai Tong, Wolfgang Glänzel, Shaohua Tan:
Multi-view clustering with exemplars for scientific mapping. Scientometrics 105(3): 1527-1552 (2015) - 2014
- [c4]Jianjun Yang, Yunhai Tong, Xinhai Liu, Shaohua Tan:
Causal inference from financial factors: Continuous variable based local structure learning algorithm. CIFEr 2014: 278-285 - 2013
- [j8]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): 32-49 (2013) - [j7]Xinhai Liu, Shuiwang Ji, Wolfgang Glänzel, Bart De Moor:
Multiview Partitioning via Tensor Methods. IEEE Trans. Knowl. Data Eng. 25(5): 1056-1069 (2013) - 2012
- [j6]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): 1031-1039 (2012) - [j5]Xinhai Liu, Wolfgang Glänzel, Bart De Moor:
Optimal and hierarchical clustering of large-scale hybrid networks for scientific mapping. Scientometrics 91(2): 473-493 (2012) - 2011
- [b1]Xinhai Liu:
Learning from Multi-View Data: Clustering Algorithm and Text Mining Application (Leren van multi-view gegevens: clustering algoritme en text mining toepassing). Katholieke Universiteit Leuven, Belgium, 2011 - [j4]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): 118-126 (2011) - [j3]Xinhai Liu, Wolfgang Glänzel, Bart De Moor:
Hybrid clustering of multi-view data via Tucker-2 model and its application. Scientometrics 88(3): 819-839 (2011) - 2010
- [j2]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): 1105-1119 (2010) - [j1]Lin Zhang, Xinhai Liu, Frizo A. L. Janssens, Liming Liang, Wolfgang Glänzel:
Subject clustering analysis based on ISI category classification. J. Informetrics 4(2): 185-193 (2010) - [c3]Xinhai Liu, Lieven De Lathauwer, Frizo A. L. Janssens, Bart De Moor:
Hybrid Clustering of Multiple Information Sources via HOSVD. ISNN (2) 2010: 337-345
2000 – 2009
- 2009
- [c2]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: 521-526 - [c1]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: 49-60
Coauthor Index
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last updated on 2024-12-12 21:03 CET by the dblp team
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