Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis. - Xinhai Liu; Shi Yu; Yves Moreau; Frizo A. L. Janssens; Bart De Moor; Wolfgang Glänzel (ICDM Workshops, 2009)

Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets. - Xinhai Liu; Shi Yu; Yves Moreau; Bart De Moor; Wolfgang Glänzel; Frizo A. L. Janssens (SDM, 2009)

Hybrid Clustering of Multiple Information Sources via HOSVD. - Xinhai Liu; Lieven De Lathauwer; Frizo A. L. Janssens; Bart De Moor (ISNN (2), 2010)

Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database. - Xinhai Liu; Shi Yu; Frizo A. L. Janssens; Wolfgang Glänzel; Yves Moreau; Bart De Moor (J. Assoc. Inf. Sci. Technol., 2010)

Subject clustering analysis based on ISI category classification. - Lin Zhang 004; Xinhai Liu; Frizo A. L. Janssens; Liming Liang 001; Wolfgang Glänzel (J. Informetrics, 2010)

Optimized data fusion for K-means Laplacian clustering. - Shi Yu; Xinhai Liu; Léon-Charles Tranchevent; Wolfgang Glänzel; Johan A. K. Suykens; Bart De Moor; Yves Moreau (Bioinform., 2011)

Hybrid clustering of multi-view data via Tucker-2 model and its application. - Xinhai Liu; Wolfgang Glänzel; Bart De Moor (Scientometrics, 2011)

Learning from Multi-View Data: Clustering Algorithm and Text Mining Application (Leren van multi-view gegevens: clustering algoritme en text mining toepassing). - Xinhai Liu (2011)

Optimized Data Fusion for Kernel k-Means Clustering. - Shi Yu; Léon-Charles Tranchevent; Xinhai Liu; Wolfgang Glänzel; Johan A. K. Suykens; Bart De Moor; Yves Moreau (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Optimal and hierarchical clustering of large-scale hybrid networks for scientific mapping. - Xinhai Liu; Wolfgang Glänzel; Bart De Moor (Scientometrics, 2012)

Multi-view spectral clustering and its chemical application. - Adeshola A. Adefioye; Xinhai Liu; Bart De Moor (Int. J. Comput. Biol. Drug Des., 2013)

Multiview Partitioning via Tensor Methods. - Xinhai Liu; Shuiwang Ji; Wolfgang Glänzel; Bart De Moor (IEEE Trans. Knowl. Data Eng., 2013)

Causal inference from financial factors: Continuous variable based local structure learning algorithm. - Jianjun Yang; Yunhai Tong; Xinhai Liu; Shaohua Tan (CIFEr, 2014)

Multi-view clustering with exemplars for scientific mapping. - XiangFeng Meng; Xinhai Liu; Yunhai Tong; Wolfgang Glänzel; Shaohua Tan (Scientometrics, 2015)

Correlating Twitter with the stock market through non-Gaussian SVAR. - Shaohua Tan; Xinhai Liu; Shuai Zhao; Yunhai Tong (ICACI, 2016)

Event Detection in Scientific Mapping based on a Novel Structural Community Similarity Algorithm. - XiangFeng Meng; Xinhai Liu; Yan Zhang; Wolfgang Glänzel (ISSI, 2017)

A Structural Based Community Similarity Algorithm and Its Application in Scientific Event Detection. - XiangFeng Meng; Yunhai Tong; Xinhai Liu; Yiren Chen; Shaohua Tan (PAISI, 2017)

NetRating: Credit Risk Evaluation for Loan Guarantee Chain in China. - XiangFeng Meng; Yunhai Tong; Xinhai Liu; Yiren Chen; Shaohua Tan (PAISI, 2017)

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network. - Xinhai Liu; Zhizhong Han; Yu-Shen Liu; Matthias Zwicker (AAAI, 2019)

Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. - Zhizhong Han; Xinhai Liu; Yu-Shen Liu; Matthias Zwicker (IJCAI, 2019)

L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. - Xinhai Liu; Zhizhong Han; Xin Wen 003; Yu-Shen Liu; Matthias Zwicker (ACM Multimedia, 2019)

LRC-Net: Learning discriminative features on point clouds by encoding local region contexts. - Xinhai Liu; Zhizhong Han; Fangzhou Hong; Yu-Shen Liu; Matthias Zwicker (Comput. Aided Geom. Des., 2020)

Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions. - Xinhai Liu; Zhizhong Han; Yu-Shen Liu; Matthias Zwicker (CoRR, 2020)

Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds Using Spatial-Aware Capsules. - Xin Wen 003; Zhizhong Han; Xinhai Liu; Yu-Shen Liu (IEEE Trans. Image Process., 2020)

Fine-Grained 3D Shape Classification With Hierarchical Part-View Attention. - Xinhai Liu; Zhizhong Han; Yu-Shen Liu; Matthias Zwicker (IEEE Trans. Image Process., 2021)

SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction With Self-Projection Optimization. - Xinhai Liu; Xinchen Liu; Yu-Shen Liu; Zhizhong Han (IEEE Trans. Image Process., 2022)

D-Net: Learning for distinctive point clouds by self-attentive point searching and learnable feature fusion. - Xinhai Liu; Zhizhong Han; Sanghuk Lee; Yan-Pei Cao; Yu-Shen Liu (Comput. Aided Geom. Des., 2023)

MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step. - Takeshi Noda; Chao Chen; Weiqi Zhang; Xinhai Liu; Yu-Shen Liu; Zhizhong Han (NeurIPS, 2024)

Tencent Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation. - Xianghui Yang; Huiwen Shi; Bowen Zhang; Fan Yang; Jiacheng Wang; Hongxu Zhao; Xinhai Liu; Xinzhou Wang; Qingxiang Lin; Jiaao Yu; Lifu Wang; Zhuo Chen; et al. (CoRR, 2024)

Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation. - Zibo Zhao; Zeqiang Lai; Qingxiang Lin; Yunfei Zhao; Haolin Liu; Shuhui Yang; Yifei Feng; Mingxin Yang; Sheng Zhang; Xianghui Yang; Huiwen Shi; Sicong Liu; et al. (CoRR, 2025)

Auto-Regressive Surface Cutting. - Yang Li; Victor Cheung; Xinhai Liu; Yuguang Chen; Zhongjin Luo; Biwen Lei; Haohan Weng; Zibo Zhao; Jingwei Huang; Zhuo Chen; Chunchao Guo (CoRR, 2025)