
ASFMNet: Asymmetrical Siamese Feature Matching Network for Point Completion
We tackle the problem of object completion from point clouds and propose...
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Topological Regularization for Graph Neural Networks Augmentation
The complexity and nonEuclidean structure of graph data hinder the deve...
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Deep Jump QEvaluation for Offline Policy Evaluation in Continuous Action Space
We consider offpolicy evaluation (OPE) in continuous action domains, su...
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Knowledgeguided Open Attribute Value Extraction with Reinforcement Learning
Open attribute value extraction for emerging entities is an important bu...
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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...
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Statistical Inference for Online DecisionMaking: In a Contextual Bandit Setting
Online decisionmaking problem requires us to make a sequence of decisio...
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MultiObjective Reinforcement Learning for Infectious Disease Control with Application to COVID19 Spread
Severe infectious diseases such as the novel coronavirus (COVID19) pose...
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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...
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Kernel Assisted Learning for Personalized Dose Finding
An individualized dose rule recommends a dose level within a continuous ...
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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...
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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...
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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...
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A Reinforcement Learning Framework for TimeDependent Causal Effects Evaluation in A/B Testing
A/B testing, or online experiment is a standard business strategy to com...
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Doubly Robust Inference when Combining Probability and Nonprobability Samples with Highdimensional Data
Nonprobability samples become increasingly popular in survey statistics...
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The USTCNEL Speech Translation system at IWSLT 2018
This paper describes the USTCNEL system to the speech translation task ...
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Neural networkbased arithmetic coding of intra prediction modes in HEVC
In both H.264 and HEVC, contextadaptive binary arithmetic coding (CABAC...
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A ParaBoost Stereoscopic Image Quality Assessment (PBSIQA) System
The problem of stereoscopic image quality assessment, which finds applic...
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Robust Learning for Optimal Treatment Decision with NPDimensionality
In order to identify important variables that are involved in making opt...
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Sure Screening for Gaussian Graphical Models
We propose graphical sure screening, or GRASS, a very simple and computa...
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Sequential Advantage Selection for Optimal Treatment Regimes
Variable selection for optimal treatment regime in a clinical trial or a...
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Nonparametric Independence Screening in Sparse UltraHigh Dimensional Additive Models
A variable screening procedure via correlation learning was proposed Fan...
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Rui Song
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