
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithiumion Batteries
This paper presents the development of machine learningenabled datadri...
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Gaussian Graphical Regression Models with High Dimensional Responses and Covariates
Though Gaussian graphical models have been widely used in many scientifi...
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Semiparametric regression of mean residual life with censoring and covariate dimension reduction
We propose a new class of semiparametric regression models of mean resid...
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Learning Representations from AudioVisual Spatial Alignment
We introduce a novel selfsupervised pretext task for learning represent...
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An Adversarial Attack Defending System for Securing InVehicle Networks
In a modern vehicle, there are over seventy Electronics Control Units (E...
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A Survey of Smart Contract Formal Specification and Verification
A smart contract is a computer program which allows users to define and ...
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Expected Size of Random Tukey Layers and Convex Layers
We study the Tukey layers and convex layers of a planar point set, which...
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Bayesian Survival Analysis Using Gamma Processes with Adaptive Time Partition
In Bayesian semiparametric analyses of timetoevent data, nonparametr...
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Streaming Complexity of SVMs
We study the space complexity of solving the biasregularized SVM proble...
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Octopus: PrivacyPreserving Collaborative Evaluation of Loan Stacking
With the rise of online lenders, the loan stacking problem has become a ...
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Graph Structuraltopic Neural Network
Graph Convolutional Networks (GCNs) achieved tremendous success by effec...
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A Revisit to Debiased Lasso for Generalized Linear Models
Debiased lasso has emerged as a popular tool to draw statistical infere...
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Nearly Linear Row Sampling Algorithm for Quantile Regression
We give a row sampling algorithm for the quantile loss function with sam...
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Weakly Supervised Lesion Localization With ProbabilisticCAM Pooling
Localizing thoracic diseases on chest Xray plays a critical role in cli...
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InputSparsity Low Rank Approximation in Schatten Norm
We give the first inputsparsity time algorithms for the rankk low rank...
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CosmeticAware Makeup Cleanser
Face verification aims at determining whether a pair of face images belo...
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Estimation of timevarying reproduction numbers underlying epidemiological processes: a new statistical tool for the COVID19 pandemic
The coronavirus pandemic has rapidly evolved into an unprecedented crisi...
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Estimation of timevarying transmission and removal rates underlying epidemiological processes: a new statistical tool for the COVID19 pandemic
The coronavirus pandemic has rapidly evolved into an unprecedented crisi...
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COVID19 Screening on Chest Xray Images Using Deep Learning based Anomaly Detection
Coronaviruses are important human and animal pathogens. To date the nove...
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Minimum Enclosing Parallelogram with Outliers
We study the problem of minimum enclosing parallelogram with outliers, w...
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Informative Sample Mining Network for MultiDomain ImagetoImage Translation
The performance of multidomain imagetoimage translation has been sign...
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MinorizationMaximizationbased Steepest Ascent for Largescale Survival Analysis with TimeVarying Effects: Application to the National Kidney Transplant Dataset
The timevarying effects model is a flexible and powerful tool for model...
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Stylebased Variational Autoencoder for RealWorld SuperResolution
Realworld image superresolution is a challenging image translation pro...
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Robust Estimation and Variable Selection for the Accelerated Failure Time Model
This paper considers robust modeling of the survival time for cancer pat...
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Evolving ab initio trading strategies in heterogeneous environments
Securities markets are quintessential complex adaptive systems in which ...
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Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules
With the prosperity of smart contracts and the blockchain technology, va...
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A Survey on Theorem Provers in Formal Methods
Mechanical reasoning is a key area of research that lies at the crossroa...
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Combining Program Analysis and Statistical Language Model for Code Statement Completion
Automatic code completion helps improve developers' productivity in thei...
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Path Planning Games
Path planning is a fundamental and extensively explored problem in robot...
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DirectedWeighting Group Lasso for Eltwise Blocked CNN Pruning
Eltwise layer is a commonly used structure in the multibranch deep lear...
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OracleSupported Dynamic Exploit Generation for Smart Contracts
Despite the high stakes involved in smart contracts, they are often deve...
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Pose Agnostic Crossspectral Hallucination via Disentangling Independent Factors
The crosssensor gap is one of the challenges that arise much research i...
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An Empirical Study on the Characteristics of QuestionAnswering Process on Developer Forums
Developer forums are one of the most popular and useful Q&A websites on ...
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DataDriven Neuron Allocation for Scale Aggregation Networks
Successful visual recognition networks benefit from aggregating informat...
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REPAIR: Removing Representation Bias by Dataset Resampling
Modern machine learning datasets can have biases for certain representat...
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Biphasic Learning of GANs for HighResolution ImagetoImage Translation
Despite that the performance of imagetoimage translation has been sign...
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Tight Bounds for the Subspace Sketch Problem with Applications
In the subspace sketch problem one is given an n× d matrix A with O((nd)...
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Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach
For a better understanding of the molecular causes of lung cancer, the B...
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Deterministic Sparse Fourier Transform with an ell_infty Guarantee
In this paper we revisit the deterministic version of the Sparse Fourier...
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Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks
Lesions characterized by computed tomography (CT) scans, are arguably of...
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A Survey to Deep Facial Attribute Analysis
Facial attribute analysis has received considerable attention with the d...
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DeepCruiser: Automated Guided Testing for Stateful Deep Learning Systems
Deep learning (DL) defines a datadriven programming paradigm that autom...
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Image SuperResolution Using TV Priori Guided Convolutional Network
We proposed a TV priori information guided deep learning method for sing...
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Testing Matrix Rank, Optimally
We show that for the problem of testing if a matrix A ∈ F^n × n has rank...
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LearningBased DelayAware Caching in Wireless D2D Caching Networks
Recently, wireless caching techniques have been studied to satisfy lower...
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Large Margin Neural Language Model
We propose a large margin criterion for training neural language models....
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Patchbased Contour Prior Image Denoising for Salt and Pepper Noise
The salt and pepper noise brings a significant challenge to image denois...
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A Convolutional Neural Networks Denoising Approach for Salt and Pepper Noise
The salt and pepper noise, especially the one with extremely high percen...
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Cancer Metastasis Detection With Neural Conditional Random Field
Breast cancer diagnosis often requires accurate detection of metastasis ...
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CovarianceInsured Screening
Modern biotechnologies have produced a vast amount of highthroughput d...
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Yi Li
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SenseTime Corporation
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CSIRO
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University of Michigan
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University of California, Irvine
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New Jersey Institute of Technology
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Tsinghua University
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Queen Mary University of London
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Nanyang Technological University
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Peking University
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University of California, San Diego
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Syracuse University
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Baidu, Inc.
Assistant Professor in the Divison of Mathematial Sciences at Nanyang Technological University