
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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Nonconvex Robust Lowrank Matrix Recovery
In this paper we study the problem of recovering a lowrank matrix from ...
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Automata Guided Reinforcement Learning With Demonstrations
Tasks with complex temporal structures and long horizons pose a challeng...
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Reversing the asymmetry in data exfiltration
Preventing data exfiltration from computer systems typically depends on ...
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Modeling Surface Appearance from a Single Photograph using Selfaugmented Convolutional Neural Networks
We present a convolutional neural network (CNN) based solution for model...
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Convergence Analysis of Alternating Nonconvex Projections
We consider the convergence properties for alternating projection algori...
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Automata Guided Hierarchical Reinforcement Learning for Zeroshot Skill Composition
An obstacle that prevents the wide adoption of (deep) reinforcement lear...
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A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks
Reward engineering is an important aspect of reinforcement learning. Whe...
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RoboCup 2D Soccer Simulation League: Evaluation Challenges
We summarise the results of RoboCup 2D Soccer Simulation League in 2016 ...
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Reinforcement Learning With Temporal Logic Rewards
Reinforcement learning (RL) depends critically on the choice of reward f...
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A Hierarchical Reinforcement Learning Method for Persistent TimeSensitive Tasks
Reinforcement learning has been applied to many interesting problems suc...
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Xiao Li
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