Wei Biao Wu - RankMe

38 papers B 2Misc 2Journal 31Unranked 3

Year	Rank	Type	Title / 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