
Unconditionally stable exponential time differencing schemes for the massconserving AllenCahn equation with nonlocal and local effects
It is well known that the classic AllenCahn equation satisfies the maxi...
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Whiteout: when do fixedX knockoffs fail?
A core strength of knockoff methods is their virtually limitless customi...
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EndtoEnd Video Object Detection with SpatialTemporal Transformers
Recently, DETR and Deformable DETR have been proposed to eliminate the n...
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Seismic Fault Segmentation via 3DCNN Training by a Few 2D Slices Labels
Detection faults in seismic data is a crucial step for seismic structura...
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A Geometric Analysis of Neural Collapse with Unconstrained Features
We provide the first global optimization landscape analysis of Neural Co...
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Stabilized integrating factor RungeKutta method and unconditional preservation of maximum bound principle
Maximum bound principle (MBP) is an important property for a large class...
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Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation
Tremendous efforts have been made on instance segmentation but the mask ...
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Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
The rapid development of remote sensing techniques provides rich, large...
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Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
Normalization techniques have become a basic component in modern convolu...
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The Logical Options Framework
Learning composable policies for environments with complex rules and tas...
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Provable Boolean Interaction Recovery from Tree Ensemble obtained via Random Forests
Random Forests (RF) are at the cutting edge of supervised machine learni...
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Rethinking Natural Adversarial Examples for Classification Models
Recently, it was found that many realworld examples without intentional...
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Fooling thermal infrared pedestrian detectors in real world using small bulbs
Thermal infrared detection systems play an important role in many areas ...
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TSQA: Tabular Scenario Based Question Answering
Scenariobased question answering (SQA) has attracted an increasing rese...
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A stabilitydriven protocol for drug response interpretable prediction (staDRIP)
Modern cancer omics and pharmacological data hold great promise in prec...
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A Bayesian Nonparametric model for textural pattern heterogeneity
Cancer radiomics is an emerging discipline promising to elucidate lesion...
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Improving Variational Autoencoder for Text Modelling with TimestepWise Regularisation
The Variational Autoencoder (VAE) is a popular and powerful model applie...
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DGST: a DualGenerator Network for Text Style Transfer
We propose DGST, a novel and simple DualGenerator network architecture ...
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Maximum bound principle preserving integrating factor RungeKutta methods for semilinear parabolic equations
A large class of semilinear parabolic equations satisfy the maximum boun...
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A Blockchain Transaction Graph based Machine Learning Method for Bitcoin Price Prediction
Bitcoin, as one of the most popular cryptocurrency, is recently attracti...
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Optimality of the max test for detecting sparse signals with Gaussian or heavier tail
A fundamental problem in highdimensional testing is that of global null...
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Multilinear Algebra for Distributed Storage
An (n, k, d, α, β, M)ERRC (exactrepair regenerating code) is a collect...
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Distribution Aligned Multimodal and MultiDomain Image Stylization
Multimodal and multidomain stylization are two important problems in th...
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Maximum bound principles for a class of semilinear parabolic equations and exponential time differencing schemes
The ubiquity of semilinear parabolic equations has been illustrated in t...
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A Text Reassembling Approach to Natural Language Generation
Recent years have seen a number of proposals for performing Natural Lang...
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A Text Reassembling Approach to NaturalLanguage Generation
Recent years have seen a number of proposals for performing Natural Lang...
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Curating a COVID19 data repository and forecasting countylevel death counts in the United States
As the COVID19 outbreak continues to evolve, accurate forecasting conti...
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An Early Study on Intelligent Analysis of Speech under COVID19: Severity, Sleep Quality, Fatigue, and Anxiety
The COVID19 outbreak was announced as a global pandemic by the World He...
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Deep Reinforcement Learning for Adaptive Learning Systems
In this paper, we formulate the adaptive learning problem—the problem of...
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COVID19 and Computer Audition: An Overview on What Speech Sound Analysis Could Contribute in the SARSCoV2 Corona Crisis
At the time of writing, the world population is suffering from more than...
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Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications
The problem of finding the sparsest vector (direction) in a low dimensio...
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Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation
Neural machine translation (NMT) has achieved impressive performance on ...
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Johnson Graph Codes
We define a Johnson graph code as a subspace of labelings of the vertice...
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MIMO Transmission through Reconfigurable Intelligent Surface: System Design, Analysis, and Implementation
Reconfigurable intelligent surface (RIS) is a new paradigm that has grea...
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Analysis of the Optimization Landscapes for Overcomplete Representation Learning
We study nonconvex optimization landscapes for learning overcomplete rep...
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A Stable Variational Autoencoder for Text Modelling
Variational Autoencoder (VAE) is a powerful method for learning represen...
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Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods
Nonsmooth Riemannian optimization is a still under explored subfield of ...
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A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
We study the multichannel sparse blind deconvolution (MCSBD) problem, ...
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GeoSQA: A Benchmark for Scenariobased Question Answering in the Geography Domain at High School Level
Scenariobased question answering (SQA) has attracted increasing researc...
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Incremental Methods for Weakly Convex Optimization
We consider incremental algorithms for solving weakly convex optimizatio...
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Latent Space Factorisation and Manipulation via Matrix Subspace Projection
This paper proposes a novel method for factorising the information in th...
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A Debiased MDI Feature Importance Measure for Random Forests
Tree ensembles such as Random Forests have achieved impressive empirical...
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Synthesizing 3D Shapes from Silhouette Image Collections using Multiprojection Generative Adversarial Networks
We present a new weakly supervised learningbased method for generating ...
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Sparse Optimization Problem with sdifference Regularization
In this paper, a sdifference type regularization for sparse recovery pr...
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Mimicking the InCamera Color Pipeline for CameraAware Object Compositing
We present a method for compositing virtual objects into a photograph su...
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Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier Functions
Using reinforcement learning to learn control policies is a challenge wh...
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ComfortCentered Design of a Lightweight and Backdrivable Knee Exoskeleton
This paper presents design principles for comfortcentered wearable robo...
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Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization
Symmetric nonnegative matrix factorization (NMF), a special but importan...
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A DualAttention Hierarchical Recurrent Neural Network for Dialogue Act Classification
Recognising dialogue acts (DA) is important for many natural language pr...
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Optimal Hierarchical Learning Path Design with Reinforcement Learning
Elearning systems are capable of providing more adaptive and efficient ...
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Xiao Li
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