
Seismic Fault Segmentation via 3DCNN Training by a Few 2D Slices Labels
Detection faults in seismic data is a crucial step for seismic structura...
read it

A Geometric Analysis of Neural Collapse with Unconstrained Features
We provide the first global optimization landscape analysis of Neural Co...
read it

Stabilized integrating factor RungeKutta method and unconditional preservation of maximum bound principle
Maximum bound principle (MBP) is an important property for a large class...
read it

Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation
Tremendous efforts have been made on instance segmentation but the mask ...
read it

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...
read it

Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
Normalization techniques have become a basic component in modern convolu...
read it

The Logical Options Framework
Learning composable policies for environments with complex rules and tas...
read it

Provable Boolean Interaction Recovery from Tree Ensemble obtained via Random Forests
Random Forests (RF) are at the cutting edge of supervised machine learni...
read it

Rethinking Natural Adversarial Examples for Classification Models
Recently, it was found that many realworld examples without intentional...
read it

Fooling thermal infrared pedestrian detectors in real world using small bulbs
Thermal infrared detection systems play an important role in many areas ...
read it

TSQA: Tabular Scenario Based Question Answering
Scenariobased question answering (SQA) has attracted an increasing rese...
read it

A stabilitydriven protocol for drug response interpretable prediction (staDRIP)
Modern cancer omics and pharmacological data hold great promise in prec...
read it

A Bayesian Nonparametric model for textural pattern heterogeneity
Cancer radiomics is an emerging discipline promising to elucidate lesion...
read it

Improving Variational Autoencoder for Text Modelling with TimestepWise Regularisation
The Variational Autoencoder (VAE) is a popular and powerful model applie...
read it

DGST: a DualGenerator Network for Text Style Transfer
We propose DGST, a novel and simple DualGenerator network architecture ...
read it

Maximum bound principle preserving integrating factor RungeKutta methods for semilinear parabolic equations
A large class of semilinear parabolic equations satisfy the maximum boun...
read it

A Blockchain Transaction Graph based Machine Learning Method for Bitcoin Price Prediction
Bitcoin, as one of the most popular cryptocurrency, is recently attracti...
read it

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...
read it

Multilinear Algebra for Distributed Storage
An (n, k, d, α, β, M)ERRC (exactrepair regenerating code) is a collect...
read it

Distribution Aligned Multimodal and MultiDomain Image Stylization
Multimodal and multidomain stylization are two important problems in th...
read it

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...
read it

A Text Reassembling Approach to Natural Language Generation
Recent years have seen a number of proposals for performing Natural Lang...
read it

A Text Reassembling Approach to NaturalLanguage Generation
Recent years have seen a number of proposals for performing Natural Lang...
read it

Curating a COVID19 data repository and forecasting countylevel death counts in the United States
As the COVID19 outbreak continues to evolve, accurate forecasting conti...
read it

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...
read it

Deep Reinforcement Learning for Adaptive Learning Systems
In this paper, we formulate the adaptive learning problem—the problem of...
read it

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...
read it

Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications
The problem of finding the sparsest vector (direction) in a low dimensio...
read it

Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation
Neural machine translation (NMT) has achieved impressive performance on ...
read it

Johnson Graph Codes
We define a Johnson graph code as a subspace of labelings of the vertice...
read it

MIMO Transmission through Reconfigurable Intelligent Surface: System Design, Analysis, and Implementation
Reconfigurable intelligent surface (RIS) is a new paradigm that has grea...
read it

Analysis of the Optimization Landscapes for Overcomplete Representation Learning
We study nonconvex optimization landscapes for learning overcomplete rep...
read it

A Stable Variational Autoencoder for Text Modelling
Variational Autoencoder (VAE) is a powerful method for learning represen...
read it

Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods
Nonsmooth Riemannian optimization is a still under explored subfield of ...
read it

A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
We study the multichannel sparse blind deconvolution (MCSBD) problem, ...
read it

GeoSQA: A Benchmark for Scenariobased Question Answering in the Geography Domain at High School Level
Scenariobased question answering (SQA) has attracted increasing researc...
read it

Incremental Methods for Weakly Convex Optimization
We consider incremental algorithms for solving weakly convex optimizatio...
read it

Latent Space Factorisation and Manipulation via Matrix Subspace Projection
This paper proposes a novel method for factorising the information in th...
read it

A Debiased MDI Feature Importance Measure for Random Forests
Tree ensembles such as Random Forests have achieved impressive empirical...
read it

Synthesizing 3D Shapes from Silhouette Image Collections using Multiprojection Generative Adversarial Networks
We present a new weakly supervised learningbased method for generating ...
read it

Sparse Optimization Problem with sdifference Regularization
In this paper, a sdifference type regularization for sparse recovery pr...
read it

Mimicking the InCamera Color Pipeline for CameraAware Object Compositing
We present a method for compositing virtual objects into a photograph su...
read it

Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier Functions
Using reinforcement learning to learn control policies is a challenge wh...
read it

ComfortCentered Design of a Lightweight and Backdrivable Knee Exoskeleton
This paper presents design principles for comfortcentered wearable robo...
read it

Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization
Symmetric nonnegative matrix factorization (NMF), a special but importan...
read it

A DualAttention Hierarchical Recurrent Neural Network for Dialogue Act Classification
Recognising dialogue acts (DA) is important for many natural language pr...
read it

Optimal Hierarchical Learning Path Design with Reinforcement Learning
Elearning systems are capable of providing more adaptive and efficient ...
read it

Nonconvex Robust Lowrank Matrix Recovery
In this paper we study the problem of recovering a lowrank matrix from ...
read it

Automata Guided Reinforcement Learning With Demonstrations
Tasks with complex temporal structures and long horizons pose a challeng...
read it

Reversing the asymmetry in data exfiltration
Preventing data exfiltration from computer systems typically depends on ...
read it
Xiao Li
is this you? claim profile