Network linear discriminant analysis. - Wei Cai; Guoyu Guan; Rui Pan 004; Xuening Zhu; Hansheng Wang 002 (Comput. Stat. Data Anal., 2018)

Least Squares Approximation for a Distributed System. - Xuening Zhu; Feng Li 028; Hansheng Wang 002 (CoRR, 2019)

Least-Square Approximation for a Distributed System. - Xuening Zhu; Feng Li 028; Hansheng Wang 002 (J. Comput. Graph. Stat., 2021)

CoGANPPIS: Coevolution-enhanced Global Attention Neural Network for Protein-Protein Interaction Site Prediction. - Jiaxing Guo; Xuening Zhu; Zixin Hu; Xiaoxi Hu (CoRR, 2023)

Improved Naive Bayes with Mislabeled Data. - Qianhan Zeng; Yingqiu Zhu; Xuening Zhu; Feifei Wang; Weichen Zhao; Shuning Sun; Meng Su; Hansheng Wang (CoRR, 2023)

An Asymptotic Analysis of Random Partition Based Minibatch Momentum Methods for Linear Regression Models. - Yuan Gao 026; Xuening Zhu; Haobo Qi; Guodong Li; Riquan Zhang; Hansheng Wang 002 (J. Comput. Graph. Stat., 2023)

A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint. - Rui Pan 004; Yingqiu Zhu; Baishan Guo; Xuening Zhu; Hansheng Wang 002 (IEEE Trans. Knowl. Data Eng., 2023)

A distributed community detection algorithm for large scale networks under stochastic block models. - Shihao Wu; Zhe Li; Xuening Zhu (Comput. Stat. Data Anal., 2023)

A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques. - Xuetong Li; Yuan Gao 026; Hong Chang; Danyang Huang; Yingying Ma; Rui Pan 004; Haobo Qi; Feifei Wang; Shuyuan Wu; Ke Xu; Jing Zhou; Xuening Zhu; et al. (CoRR, 2024)

A grouped spatial-temporal model for PM 2.5 data and its applications on outlier detection. - Baishan Guo; Lei Wang; Rui Pan 004; Xuening Zhu (Commun. Stat. Simul. Comput., 2024)

High Resolution Image Classification with Rich Text Information Based on Graph Convolution Neural Network. - Siyi Han; Jing Zhou; Xuening Zhu; Zhe Li; Jie Li 002; Hansheng Wang; Yibing Gong (PAKDD (7), 2025)

Sparse Autoencoders, Again? - Yin Lu; Xuening Zhu; Tong He 002; David Wipf (CoRR, 2025)

Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction. - Zhirui Gao; Renjiao Yi; Yaqiao Dai; Xuening Zhu; Wei Chen; Chenyang Zhu 002; Kai Xu 004 (CoRR, 2025)

Relighting Scenes With Object Insertions in Neural Radiance Fields. - Xuening Zhu; Renjiao Yi; Xin Wen 005; Chenyang Zhu 002; Kai Xu 004 (IEEE Trans. Circuits Syst. Video Technol., 2025)

CAD-NeRF: learning NeRFs from uncalibrated few-view images by CAD model retrieval. - Xin Wen 005; Xuening Zhu; Renjiao Yi; Zhifeng Wang; Chenyang Zhu 002; Kai Xu 004 (Frontiers Comput. Sci., 2025)