Wei Biao Wu

38 papers B 2Misc 2Journal 31Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Estimation of High-Dimensional Nonlinear Vector Autoregressive Models.
IEEE Trans. Inf. Theory
Yuefeng Han, Likai Chen, Wei Biao Wu
2025 J jnl
Online Inference for Quantiles by Constant Learning-Rate Stochastic Gradient Descent.
CoRR
Ziyang Wei, Jiaqi Li, Likai Chen, Wei Biao Wu
2025 J jnl
Online Statistical Inference of Constrained Stochastic Optimization via Random Scaling.
CoRR
Xinchen Du, Wanrong Zhu, Wei Biao Wu, Sen Na
2025 J jnl
Sharp Gaussian approximations for Decentralized Federated Learning.
CoRR
Soham Bonnerjee, Sayar Karmakar, Wei Biao Wu
2025 J jnl
Smoothed SGD for quantiles: Bahadur representation and Gaussian approximation.
CoRR
Likai Chen, Georg Keilbar, Wei Biao Wu
2025 J jnl
Statistical Guarantees for High-Dimensional Stochastic Gradient Descent.
CoRR
Jiaqi Li, Zhipeng Lou, Johannes Schmidt-Hieber, Wei Biao Wu
2024 J jnl
Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models.
CoRR
Jiaqi Li, Johannes Schmidt-Hieber, Wei Biao Wu
2024 J jnl
High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization.
CoRR
Wanrong Zhu, Zhipeng Lou, Ziyang Wei, Wei Biao Wu
2023 J jnl
Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds.
J. Mach. Learn. Res.
Likai Chen, Georg Keilbar, Wei Biao Wu
2023 J jnl
Weighted Averaged Stochastic Gradient Descent: Asymptotic Normality and Optimality.
CoRR
Ziyang Wei, Wanrong Zhu, Wei Biao Wu
2022 J jnl
Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent.
J. Mach. Learn. Res.
Wanrong Zhu, Zhipeng Lou, Wei Biao Wu
2021 J jnl
Explainable AI for a No-Teardown Vehicle Component Cost Estimation: A Top-Down Approach.
IEEE Trans. Artif. Intell.
Ayman Moawad, Ehsan Islam, Namdoo Kim, Ram Vijayagopal, Aymeric Rousseau, Wei Biao Wu
2020 J jnl
A Fully Online Approach for Covariance Matrices Estimation of Stochastic Gradient Descent Solutions.
CoRR
Wanrong Zhu, Xi Chen, Wei Biao Wu
2020 J jnl
Central limit theorems for nearly long range dependent subordinated linear processes.
J. Appl. Probab.
Martin Wendler, Wei Biao Wu
2020 J jnl
Estimation of Dynamic Networks for High-Dimensional Nonstationary Time Series.
Entropy
Mengyu Xu, Xiaohui Chen, Wei Biao Wu
2020 J jnl
Explainable AI for a No-Teardown Vehicle Component Cost Estimation: A Top-Down Approach.
CoRR
Ayman Moawad, Ehsan Islam, Namdoo Kim, Ram Vijayagopal, Aymeric Rousseau, Wei Biao Wu
2018 J jnl
Asymptotic Theory for Estimators of High-Order Statistics of Stationary Processes.
IEEE Trans. Inf. Theory
Danna Zhang, Wei Biao Wu
2018 — conf
MAC Layer Misbehavior Detection Using Time Series Analysis.
ICC
Maggie X. Cheng, Yi Ling, Wei Biao Wu
2017 J jnl
Concentration inequalities for empirical processes of linear time series.
J. Mach. Learn. Res.
Likai Chen, Wei Biao Wu
2017 B conf
Time Series Analysis for Jamming Attack Detection in Wireless Networks.
GLOBECOM
Maggie X. Cheng, Yi Ling, Wei Biao Wu
2016 J jnl
A Hypothesis Testing Approach for Topology Error Detection in Power Grids.
IEEE Internet Things J.
Wei Biao Wu, Maggie X. Cheng, Bei Gou
2016 — conf
A model-free localization method for sensor networks with sparse anchors.
ICC
Maggie X. Cheng, Wei Biao Wu
2016 J jnl
Data Analytics for Fault Localization in Complex Networks.
IEEE Internet Things J.
Maggie X. Cheng, Wei Biao Wu
2016 — conf
In-band wormhole detection in wireless ad hoc networks using change point detection method.
ICC
Maggie X. Cheng, Yi Ling, Wei Biao Wu
2016 J jnl
Regularized Estimation of Linear Functionals of Precision Matrices for High-Dimensional Time Series.
IEEE Trans. Signal Process.
Xiaohui Chen, Mengyu Xu, Wei Biao Wu
2014 J jnl
Recursive Nonparametric Estimation for Time Series.
IEEE Trans. Inf. Theory
Yinxiao Huang, Xiaohong Chen, Wei Biao Wu
2012 J jnl
Testing for Parallelism Among Trends in Multiple Time Series.
IEEE Trans. Signal Process.
David Degras, Zhiwei Xu, Ting Zhang, Wei Biao Wu
2011 J jnl
A Single-Pass Algorithm for Spectrum Estimation With Fast Convergence.
IEEE Trans. Inf. Theory
Han Xiao, Wei Biao Wu
2010 J jnl
Long-term prediction intervals of time series.
IEEE Trans. Inf. Theory
Zhou Zhou, Zhiwei Xu, Wei Biao Wu
2006 Misc conf
Robust prediction of network traffic using quantile regression models.
IRI
Wei Biao Wu, Zhiwei Xu, Yu Wang
2005 J jnl
Best-Effort Patching for Multicast True VoD Service.
Multim. Tools Appl.
Huadong Ma, Kang G. Shin, Wei Biao Wu
2004 J jnl
On the clustering of independent uniform random variables.
Random Struct. Algorithms
Sándor Csörgo, Wei Biao Wu
2004 J jnl
Simulating Sample Paths of Linear Fractional Stable Motion.
IEEE Trans. Inf. Theory
Wei Biao Wu, George Michailidis, Danlu Zhang
2003 J jnl
The performance of difference coding for sets and relational tables.
J. ACM
Wei Biao Wu, Chinya V. Ravishankar
2002 B conf
Analysis on Markov modeling of cellular packet transmission.
WCNC
Danlu Zhang, Wei Biao Wu, Kimberly M. Wasserman
2002 Misc conf
General methodology 2: an efficient method for simulating fractional stable motion.
WSC
Wei Biao Wu, George Michailidis, Danlu Zhang
2000 J jnl
Exact distribution of edge-preserving MAP estimators for linear signal models with Gaussian measurement noise.
IEEE Trans. Image Process.
Jeffrey A. Fessler, Hakan Erdogan, Wei Biao Wu
2000 J jnl
Random Graphs And The Strong Convergence Of Bootstrap Means.
Comb. Probab. Comput.
Sándor Csörgo, Wei Biao Wu