b'Rui Song'

ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion

We tackle the problem of object completion from point clouds and propose...
04/19/2021 ∙ by Yaqi Xia, et al. ∙ 0 ∙ share

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Topological Regularization for Graph Neural Networks Augmentation

The complexity and non-Euclidean structure of graph data hinder the deve...
04/03/2021 ∙ by Rui Song, et al. ∙ 0 ∙ share

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Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space

We consider off-policy evaluation (OPE) in continuous action domains, su...
10/29/2020 ∙ by Hengrui Cai, et al. ∙ 0 ∙ share

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Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning

Open attribute value extraction for emerging entities is an important bu...
10/19/2020 ∙ by Ye Liu, et al. ∙ 0 ∙ share

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Statistical Inference for Online Decision Making via Stochastic Gradient Descent

Online decision making aims to learn the optimal decision rule by making...
10/14/2020 ∙ by Haoyu Chen, et al. ∙ 0 ∙ share

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Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting

Online decision-making problem requires us to make a sequence of decisio...
10/14/2020 ∙ by Haoyu Chen, et al. ∙ 0 ∙ share

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Multi-Objective Reinforcement Learning for Infectious Disease Control with Application to COVID-19 Spread

Severe infectious diseases such as the novel coronavirus (COVID-19) pose...
09/09/2020 ∙ by Runzhe Wan, et al. ∙ 16 ∙ share

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Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health

In this article, we propose novel structural nested models to estimate c...
07/19/2020 ∙ by Liangyu Zhu, et al. ∙ 0 ∙ share

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Kernel Assisted Learning for Personalized Dose Finding

An individualized dose rule recommends a dose level within a continuous ...
07/19/2020 ∙ by Liangyu Zhu, et al. ∙ 0 ∙ share

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AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images

Recent promising effort for spectral reconstruction (SR) focuses on lear...
05/19/2020 ∙ by Jiaojiao Li, et al. ∙ 0 ∙ share

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A New Framework for Online Testing of Heterogeneous Treatment Effect

We propose a new framework for online testing of heterogeneous treatment...
02/09/2020 ∙ by Miao Yu, et al. ∙ 0 ∙ share

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Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making

The Markov assumption (MA) is fundamental to the empirical validity of r...
02/05/2020 ∙ by Chengchun Shi, et al. ∙ 0 ∙ share

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A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing

A/B testing, or online experiment is a standard business strategy to com...
02/05/2020 ∙ by Chengchun Shi, et al. ∙ 0 ∙ share

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Doubly Robust Inference when Combining Probability and Non-probability Samples with High-dimensional Data

Non-probability samples become increasingly popular in survey statistics...
03/12/2019 ∙ by Shu Yang, et al. ∙ 0 ∙ share

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The USTC-NEL Speech Translation system at IWSLT 2018

This paper describes the USTC-NEL system to the speech translation task ...
12/06/2018 ∙ by Dan Liu, et al. ∙ 0 ∙ share

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Neural network-based arithmetic coding of intra prediction modes in HEVC

In both H.264 and HEVC, context-adaptive binary arithmetic coding (CABAC...
09/18/2017 ∙ by Rui Song, et al. ∙ 0 ∙ share

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A ParaBoost Stereoscopic Image Quality Assessment (PBSIQA) System

The problem of stereoscopic image quality assessment, which finds applic...
03/31/2016 ∙ by Hyunsuk Ko, et al. ∙ 0 ∙ share

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Robust Learning for Optimal Treatment Decision with NP-Dimensionality

In order to identify important variables that are involved in making opt...
10/15/2015 ∙ by Chengchun Shi, et al. ∙ 0 ∙ share

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Sure Screening for Gaussian Graphical Models

We propose graphical sure screening, or GRASS, a very simple and computa...
07/29/2014 ∙ by Shikai Luo, et al. ∙ 0 ∙ share

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Sequential Advantage Selection for Optimal Treatment Regimes

Variable selection for optimal treatment regime in a clinical trial or a...
05/20/2014 ∙ by Ailin Fan, et al. ∙ 0 ∙ share

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Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models

A variable screening procedure via correlation learning was proposed Fan...
12/14/2009 ∙ by Jianqing Fan, et al. ∙ 0 ∙ share

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Rui Song

Featured Co-authors

Wei Li

C. -C. Jay Kuo

Jieping Ye

Yang Feng

Houqiang Li

Dong Liu

Fei Liu

Jianqing Fan

Shu Yang

Hao Xu

Sheng Zhang

ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion

Topological Regularization for Graph Neural Networks Augmentation

Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space

Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning

Statistical Inference for Online Decision Making via Stochastic Gradient Descent

Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting

Multi-Objective Reinforcement Learning for Infectious Disease Control with Application to COVID-19 Spread

Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health

Kernel Assisted Learning for Personalized Dose Finding

AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images

A New Framework for Online Testing of Heterogeneous Treatment Effect

Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making

A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing

Doubly Robust Inference when Combining Probability and Non-probability Samples with High-dimensional Data

The USTC-NEL Speech Translation system at IWSLT 2018

Neural network-based arithmetic coding of intra prediction modes in HEVC

A ParaBoost Stereoscopic Image Quality Assessment (PBSIQA) System

Robust Learning for Optimal Treatment Decision with NP-Dimensionality

Sure Screening for Gaussian Graphical Models

Sequential Advantage Selection for Optimal Treatment Regimes

Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models