activity
20102023
most citedIntrinsic dimension estimation of data by principal component analysis

23 citations · 27 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV202325 cited

DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

Jingxiang Sun, Bo Zhang, Ruizhi Shao +4

We present DreamCraft3D, a hierarchical 3D content generation method that produces high-fidelity and coherent 3D objects. We tackle the problem by leveraging a 2D reference image t…

cs.CL20232 cited

NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts

Yue Zhang, Bo Zhang, Haochen Jiang +4

We introduce NaSGEC, a new dataset to facilitate research on Chinese grammatical error correction (CGEC) for native speaker texts from multiple domains. Previous CGEC research prim…

physics.comp-ph2023

A method for automated regression test in scientific computing libraries: illustration with SPHinXsys

Bo Zhang, Chi Zhang, Xiangyu Hu

Scientific computing libraries, either being in-house or open-source, have experienced enormous progress in both engineering and scientific research. It is therefore essential to e…

cs.CV2022

Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks

Xiao Li, Ziqi Wang, Bo Zhang +2

Adversarial attacks can easily fool object recognition systems based on deep neural networks (DNNs). Although many defense methods have been proposed in recent years, most of them…

cs.LG20212 cited

Stability and Generalization of Bilevel Programming in Hyperparameter Optimization

Fan Bao, Guoqiang Wu, Chongxuan Li +2

The (gradient-based) bilevel programming framework is widely used in hyperparameter optimization and has achieved excellent performance empirically. Previous theoretical work mainl…

cs.CV201023 cited

Intrinsic dimension estimation of data by principal component analysis

Mingyu Fan, Nannan Gu, Hong Qiao +1

Estimating intrinsic dimensionality of data is a classic problem in pattern recognition and statistics. Principal Component Analysis (PCA) is a powerful tool in discovering dimensi…