Yujie Gai

发表

Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.

Lingfan Yu, Jinyang Li, George Karypis, 2019 .

Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs pdf

Alexander J. Smola, Lingfan Yu, Zheng Zhang, 2019, ArXiv.

Estimation and inference for high-dimensional non-sparse models

Yujie Gai, Lixing Zhu, Lu Lin, 2011, 1112.0712.

Adaptive post-Dantzig estimation and prediction for non-sparse "large $p$ and small $n$" models

Lixing Zhu, Yujie Gai, Lu Lin, 2010 .

Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs

Alex Smola, Minjie Wang, Zheng Zhang, 2019, ArXiv.

Weighted local linear composite quantile estimation for the case of general error distributions

Yujie Gai, Lu Lin, Jing Sun, 2013 .

Nonlinear regression models with single‐index heteroscedasticity

Yujie Gai, Jun Zhang, Bingqing Lin, 2019, Statistica Neerlandica.

Testing symmetry for additive distortion measurement errors data

Yujie Gai, Jun Zhang, Feng Li, 2019, Communications in statistics. Simulation and computation.

On Equivalence of Likelihood Maximization of Stochastic Block Model and Nonnegative Matrix Factorization

Yujie Gai, Zhongyuan Zhang, Yu-Fei Wang, 2016 .

Estimation and variable selection in partial linear single index models with error-prone linear covariates

Yujie Gai, Jun Zhang, Xiaoguang Wang, 2014 .

Statistical inference on partial linear additive models with distortion measurement errors

Yujie Gai, Jun Zhang, Gaorong Li, 2015 .

Partial index additive models with additive distortion measurement errors

Yujie Gai, Jun Zhang, S. Feng, 2020, Commun. Stat. Simul. Comput..

Detection of the symmetry of model errors for partial linear single-index models

Yujie Gai, Jun Zhang, 2020, Commun. Stat. Simul. Comput..

Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion

Yujie Gai, Jun Zhang, 2019, Commun. Stat. Simul. Comput..

Nonlinear regression models with profile nonlinear least squares estimation

Yujie Gai, Jun Zhang, 2019, Commun. Stat. Simul. Comput..

Multiplicative distortion measurement errors linear models with general moment identifiability condition

Yujie Gai, Jun Zhang, Wangli Xu, 2019, Journal of Statistical Computation and Simulation.

Asymtotics of Dantzig selector for a general single-index model

Yujie Gai, Lixing Zhu, Yan Fan, 2016, Journal of Systems Science and Complexity.

On Equivalence of Stochastic Block Model and Nonnegative Matrix Factorization pdf

Zhongyuan Zhang, Hui-Min Cheng, Yujie Gai, 2016, ArXiv.

Exponential squared loss based robust variable selection of AR models

Yujie Gai, Yunquan Song, Xijun Liang, 2022, Brazilian Journal of Probability and Statistics.

Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.

G. Karypis, Minjie Wang, Tianjun Xiao, 2019 .

Correlation curve estimation for multiplicative distortion measurement errors data

Yujie Gai, Jun Zhang, Zhenghui Feng, 2019, Journal of Nonparametric Statistics.

Estimation in linear regression models with measurement errors subject to single-indexed distortion

Ping Wu, Jun Zhang, Yujie Gai, 2013, Comput. Stat. Data Anal..

Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses

Yujie Gai, Peixin Zhao, Xiaoshuang Zhou, 2022, AStA Advances in Statistical Analysis.

Measuring the symmetry of model errors for varying coefficient regression models based on correlation coefficient

Yujie Gai, Jun Zhang, Yusheng Wei, 2021, Commun. Stat. Simul. Comput..

Detection the symmetry or asymmetry of model errors in partial linear models

Yujie Gai, Jun Zhang, Yujie Gai, 2021, Commun. Stat. Simul. Comput..

Testing symmetry of model errors for nonparametric regression models by using correlation coefficient1

Yujie Gai, Jun Zhang, Xuehu Zhu, 2019, Commun. Stat. Simul. Comput..

Measuring symmetry and asymmetry of multiplicative distortion measurement errors data

Yujie Gai, Jun Zhang, Gaorong Li, 2020 .

Practical Convex Formulation of Robust One-hidden-layer Neural Network Training pdf

Somayeh Sojoudi, Tanmay Gautam, Yatong Bai, 2021, ArXiv.

Practical Convex Formulations of One-hidden-layer Neural Network Adversarial Training

Yujie Gai, S. Sojoudi, Tanmay Gautam, 2022, American Control Conference.

A Statistical Framework for Low-bitwidth Training of Deep Neural Networks pdf

Joseph E. Gonzalez, Michael W. Mahoney, Jianfei Chen, 2020, NeurIPS.

Single-index relative error regression models

Yujie Gai, Jun Zhang, Yujie Gai, 2021, Commun. Stat. Simul. Comput..

Linear regression models with general distortion measurement errors

Yujie Gai, Jun Zhang, Yujie Gai, 2019, Commun. Stat. Simul. Comput..

Loss Functions for Multiset Prediction

Zheng Zhang, Kyunghyun Cho, Yu Gai, 2017, NeurIPS.

Detection of marginal heteroscedasticity for partial linear single-index models

Jun Zhang, Bingqing Lin, Yujie Gai, 2019, Commun. Stat. Simul. Comput..

A general framework of online updating variable selection for generalized linear models with streaming datasets

Yujie Gai, Xiaoyu Ma, Lu Lin, 2021, Journal of Statistical Computation and Simulation.

On equivalence of likelihood maximization of stochastic block model and constrained nonnegative matrix factorization

Hui-Min Cheng, Xin Liu, Zhong-Yuan Zhang, 2016, Physica A: Statistical Mechanics and its Applications.

Mixture Normal Distribution for Gibbs Sampler and its Application in the Surface of Single Crystal

Yujie Gai, Wei Shao, Guoqing Zhao, 2012 .

Inference for biased models: A quasi-instrumental variable approach

Lixing Zhu, Lu Lin, Yujie Gai, 2014, J. Multivar. Anal..