Xiaowei Zhang | DeepAI

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Featured Co-authors

Bo Li
461 publications
Yu Zhang
406 publications
Lei Chen
128 publications
Yu Sun
127 publications
Han Zhang
115 publications
Liang Ding
76 publications
Si Liu
70 publications
Peng Cui
69 publications
Na Li
65 publications
Bin Hu
58 publications
Jin Li
52 publications

∙ 08/12/2022

Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search

BERT-style models pre-trained on the general corpus (e.g., Wikipedia) an...

0 Yiming Qiu, et al. ∙

∙ 01/09/2022

Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions

Nested simulation concerns estimating functionals of a conditional expec...

0 Wenjia Wang, et al. ∙

∙ 08/28/2021

Self-fulfilling Bandits: Endogeneity Spillover and Dynamic Selection in Algorithmic Decision-making

In this paper, we study endogeneity problems in algorithmic decision-mak...

0 Jin Li, et al. ∙

∙ 07/19/2021

High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids

High-dimensional simulation optimization is notoriously challenging. We ...

0 Liang Ding, et al. ∙

∙ 05/09/2021

Surrogate-Based Simulation Optimization

Simulation models are widely used in practice to facilitate decision-mak...

0 L. Jeff Hong, et al. ∙

∙ 03/06/2021

Causal Reinforcement Learning: An Instrumental Variable Approach

In the standard data analysis framework, data is first collected (once f...

0 Jin Li, et al. ∙

∙ 10/14/2020

Sample and Computationally Efficient Simulation Metamodeling in High Dimensions

Stochastic kriging has been widely employed for simulation metamodeling ...

0 Liang Ding, et al. ∙

∙ 02/20/2020

MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis

According to the World Health Organization, the number of mental disorde...

0 Hanshu Cai, et al. ∙

∙ 02/20/2020

MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis

According to the World Health Organization, the number of mental disorde...

0 Hanshu Cai, et al. ∙

∙ 11/20/2019

Rule-Guided Compositional Representation Learning on Knowledge Graphs

Representation learning on a knowledge graph (KG) is to embed entities a...

20 Guanglin Niu, et al. ∙

∙ 06/12/2019

Knowledge Gradient for Selection with Covariates: Consistency and Computation

Knowledge gradient is a design principle for developing Bayesian sequent...

0 Xiaowei Zhang, et al. ∙

∙ 03/14/2019

Distributionally Robust Selection of the Best

Specifying a proper input distribution is often a challenging task in si...

0 Weiwei Fan, et al. ∙

∙ 12/07/2018

Local Distribution in Neighborhood for Classification

The k-nearest-neighbor method performs classification tasks for a query ...

0 Chengsheng Mao, et al. ∙

∙ 03/07/2018

Scalable Stochastic Kriging with Markovian Covariances

Stochastic kriging is a popular technique for simulation metamodeling du...

0 Liang Ding, et al. ∙

∙ 02/02/2018

Stochastic Kriging for Inadequate Simulation Models

Stochastic kriging is a popular metamodeling technique for representing ...

0 Lu Zou, et al. ∙

∙ 10/07/2017

Ranking and Selection with Covariates for Personalized Decision Making

We consider a ranking and selection problem in the context of personaliz...

0 Haihui Shen, et al. ∙

∙ 03/26/2017

Multivariate Regression with Gross Errors on Manifold-valued Data

We consider the topic of multivariate regression on manifold-valued outp...

0 Xiaowei Zhang, et al. ∙

∙ 01/16/2017

Sparse Kernel Canonical Correlation Analysis via ℓ_1-regularization

Canonical correlation analysis (CCA) is a multivariate statistical techn...

0 Xiaowei Zhang, et al. ∙

∙ 01/11/2017

Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications

This paper studies the problem of multivariate linear regression where a...

0 Xiaowei Zhang, et al. ∙

∙ 02/19/2014

Transduction on Directed Graphs via Absorbing Random Walks

In this paper we consider the problem of graph-based transductive classi...

0 Jaydeep De, et al. ∙

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