Xuening Zhu

According to our database, Xuening Zhu authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CAD-NeRF: learning NeRFs from uncalibrated few-view images by CAD model retrieval.

Xin Wen, Xuening Zhu, Renjiao Yi, Zhifeng Wang, Chenyang Zhu, Kai Xu

Frontiers Comput. Sci., October, 2025

Relighting Scenes With Object Insertions in Neural Radiance Fields.

Xuening Zhu, Renjiao Yi, Xin Wen, Chenyang Zhu, Kai Xu

IEEE Trans. Circuits Syst. Video Technol., July, 2025

Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction.

Zhirui Gao, Renjiao Yi, Yaqiao Dai, Xuening Zhu, Wei Chen, Chenyang Zhu, Kai Xu

CoRR, June, 2025

Sparse Autoencoders, Again?

Yin Lu, Xuening Zhu, Tong He, David Wipf

CoRR, June, 2025

High Resolution Image Classification with Rich Text Information Based on Graph Convolution Neural Network.

Siyi Han, Jing Zhou, Xuening Zhu, Zhe Li, Jie Li, Hansheng Wang, Yibing Gong

Proceedings of the Data Science: Foundations and Applications, 2025

2024

A grouped spatial-temporal model for PM _2.5 data and its applications on outlier detection.

Baishan Guo, Lei Wang, Rui Pan, Xuening Zhu

Commun. Stat. Simul. Comput., May, 2024

A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques.

Xuetong Li, Yuan Gao, Hong Chang, Danyang Huang, Yingying Ma, Rui Pan, Haobo Qi, Feifei Wang, Shuyuan Wu, Ke Xu, Jing Zhou, Xuening Zhu, Yingqiu Zhu, Hansheng Wang

CoRR, 2024

2023

A distributed community detection algorithm for large scale networks under stochastic block models.

Shihao Wu, Zhe Li, Xuening Zhu

Comput. Stat. Data Anal., November, 2023

A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint.

Rui Pan, Yingqiu Zhu, Baishan Guo, Xuening Zhu, Hansheng Wang

IEEE Trans. Knowl. Data Eng., September, 2023

An Asymptotic Analysis of Random Partition Based Minibatch Momentum Methods for Linear Regression Models.

Yuan Gao, Xuening Zhu, Haobo Qi, Guodong Li, Riquan Zhang, Hansheng Wang

J. Comput. Graph. Stat., 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

CoGANPPIS: Coevolution-enhanced Global Attention Neural Network for Protein-Protein Interaction Site Prediction.

Jiaxing Guo, Xuening Zhu, Zixin Hu, Xiaoxi Hu

CoRR, 2023

2021

Least-Square Approximation for a Distributed System.

Xuening Zhu, Feng Li, Hansheng Wang

J. Comput. Graph. Stat., 2021

2019

Least Squares Approximation for a Distributed System.

Xuening Zhu, Feng Li, Hansheng Wang

CoRR, 2019

2018

Network linear discriminant analysis.

Wei Cai, Guoyu Guan, Rui Pan, Xuening Zhu, Hansheng Wang

Comput. Stat. Data Anal., 2018