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2020 – today
- 2025
[i11]Zibo Zhao, Zeqiang Lai, Qingxiang Lin, Yunfei Zhao, Haolin Liu, Shuhui Yang, Yifei Feng, Mingxin Yang, Sheng Zhang, Xianghui Yang, Huiwen Shi, Sicong Liu, Junta Wu, Yihang Lian, Fan Yang, Ruining Tang, Zebin He, Xinzhou Wang, Jian Liu, Xuhui Zuo, Zhuo Chen, Biwen Lei, Haohan Weng, Jing Xu, Yiling Zhu, Xinhai Liu, Lixin Xu, Changrong Hu, Tianyu Huang, Lifu Wang, Jihong Zhang, Meng Chen, Liang Dong, Yiwen Jia, Yulin Cai, Jiaao Yu, Yixuan Tang, Hao Zhang, Zheng Ye, Peng He, Runzhou Wu, Chao Zhang, Yonghao Tan, Jie Xiao, Yangyu Tao, Jianchen Zhu, Jinbao Xue, Kai Liu, Chongqing Zhao, Xinming Wu, Zhichao Hu, Lei Qin, Jianbing Peng, Zhan Li, Minghui Chen, Xipeng Zhang, Lin Niu, Paige Wang, Yingkai Wang, Haozhao Kuang, Zhongyi Fan, Xu Zheng, Weihao Zhuang, YingPing He, Tian Liu, Yong Yang, Di Wang, Yuhong Liu, Jie Jiang, Jingwei Huang, Chunchao Guo:
Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation. CoRR abs/2501.12202 (2025)- 2024
- [c12]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. NeurIPS 2024 - [i10]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) - [i9]Xianghui Yang, Huiwen Shi, Bowen Zhang, Fan Yang, Jiacheng Wang, Hongxu Zhao, Xinhai Liu, Xinzhou Wang, Qingxiang Lin, Jiaao Yu, Lifu Wang, Zhuo Chen, Sicong Liu, Yuhong Liu, Yong Yang, Di Wang, Jie Jiang, Chunchao Guo:
Tencent Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation. CoRR abs/2411.02293 (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 2025-02-26 20:52 CET by the dblp team
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