
Handling Noisy Labels via OneStep Abductive MultiTarget Learning
Learning from noisy labels is an important concern because of the lack o...
read it

Edge Adaptive Hybrid Regularization Model For Image Deblurring
A spatially fixed parameter of regularization item for whole images does...
read it

A Bounded MultiVacation Queue Model for Multistage Sleep Control 5G Base station
Modelling and control of energy consumption is an important problem in t...
read it

Deep reinforcement learning for RAN optimization and control
Due to the high variability of the traffic in the radio access network (...
read it

Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors
Nowadays, nonnegative matrix factorization (NMF) based methods have been...
read it

Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Superresolution
Light field (LF) images acquired by handheld devices usually suffer fro...
read it

The 1st Tiny Object Detection Challenge:Methods and Results
The 1st Tiny Object Detection (TOD) Challenge aims toencourage research ...
read it

Distributed Linear Equations over Random Networks
Distributed linear algebraic equation over networks, where nodes hold a ...
read it

Surrogate LocallyInterpretable Models with Supervised Machine Learning Algorithms
Supervised Machine Learning (SML) algorithms, such as Gradient Boosting,...
read it

Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms
The linear inverse problem is fundamental to the development of various ...
read it

Generalized multiscale approximation of a multipoint flux mixed finite element method for DarcyForchheimer model
In this paper, we propose a multiscale method for the DarcyForchheimer ...
read it

Adaptive generalized multiscale approximation of a mixed finite element method with velocity elimination
In this paper, we propose offline and online adaptive enrichment algorit...
read it

Hyperspectral Image Superresolution via Deep Progressive Zerocentric Residual Learning
This paper explores the problem of hyperspectral image (HSI) superresol...
read it

Policy Gradient from Demonstration and Curiosity
With reinforcement learning, an agent could learn complex behaviors from...
read it

ADCluster: Augmented Discriminative Clustering for Domain Adaptive Person Reidentification
Domain adaptive person reidentification (reID) is a challenging task, ...
read it

Adaptive Explainable Neural Networks (AxNNs)
While machine learning techniques have been successfully applied in seve...
read it

Light Field Spatial Superresolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
Light field (LF) images acquired by handheld devices usually suffer fro...
read it

Learning a WeaklySupervised Video ActorAction Segmentation Model with a Wise Selection
We address weaklysupervised video actoraction segmentation (VAAS), whi...
read it

Automated discovery of a robust interatomic potential for aluminum
Atomistic molecular dynamics simulation is an important tool for predict...
read it

DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
Change detection is a basic task of remote sensing image processing. The...
read it

Asynchronous parallel adaptive stochastic gradient methods
Stochastic gradient methods (SGMs) are the predominant approaches to tra...
read it

Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Deep neural networks, while generalize well, are known to be sensitive t...
read it

Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization
This paper considers a distributed stochastic strongly convex optimizati...
read it

Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
Remote sensing image scene classification is a fundamental but challengi...
read it

Embedding Compression with Isotropic Iterative Quantization
Continuous representation of words is a standard component in deep learn...
read it

Multitask learning over graphs
The problem of learning simultaneously several related tasks has receive...
read it

Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Hierarchical abstractions are a methodology for solving largescale grap...
read it

Chart AutoEncoders for Manifold Structured Data
Autoencoding and generative models have made tremendous successes in im...
read it

A multilabel classification method using a hierarchical and transparent representation for paperreviewer recommendation
Paperreviewer recommendation task is of significant academic importance...
read it

CAG: A Realtime Lowcost Enhancedrobustness Hightransferability Contentaware Adversarial Attack Generator
Deep neural networks (DNNs) are vulnerable to adversarial attack despite...
read it

Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression
This paper presents a variational Bayesian kernel selection (VBKS) algor...
read it

DFSMNSAN with Persistent Memory Model for Automatic Speech Recognition
Selfattention networks (SAN) have been introduced into automatic speech...
read it

Adaptively Aligned Image Captioning via Adaptive Attention Time
Recent neural models for image captioning usually employs an encoderdec...
read it

Flexible, Fast and Accurate DenselySampled Light Field Reconstruction Network
The denselysampled light field (LF) is highly desirable in various appl...
read it

Attention on Attention for Image Captioning
Attention mechanisms are widely used in current encoder/decoder framewor...
read it

AntiMoney Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Antimoney laundering (AML) regulations play a critical role in safeguar...
read it

Learning Highfidelity Light Field Images From Hybrid Inputs
This paper explores the reconstruction of highfidelity LF images (i.e.,...
read it

Distributed Global OutputFeedback Control for a Class of EulerLagrange Systems
This published paper investigates the distributed tracking control probl...
read it

Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart
Large intelligent surface/antennas (LISA), a twodimensional artificial ...
read it

Learning discriminative features in sequence training without requiring framewise labelled data
In this work, we try to answer two questions: Can deeply learned feature...
read it

IPC: A Benchmark Data Set for Learning with GraphStructured Data
Benchmark data sets are an indispensable ingredient of the evaluation of...
read it

Time Series Simulation by Conditional Generative Adversarial Net
Generative Adversarial Net (GAN) has been proven to be a powerful machin...
read it

DAGGNN: DAG Structure Learning with Graph Neural Networks
Learning a faithful directed acyclic graph (DAG) from samples of a joint...
read it

A Data Driven Approach for Motion Planning of Autonomous Driving Under Complex Scenario
To guarantee the safe and efficient motion planning of autonomous drivin...
read it

A Sequential Set Generation Method for Predicting SetValued Outputs
Consider a general machine learning setting where the output is a set of...
read it

Stratified Labeling for Surface Consistent Parallax Correction and Occlusion Completion
The light field faithfully records the spatial and angular configuration...
read it

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Graph representation learning resurges as a trending research subject ow...
read it

A laboratorycreated dataset with groundtruth for hyperspectral unmixing evaluation
Spectral unmixing is an important and challenging problem in hyperspectr...
read it

Scalable Graph Learning for AntiMoney Laundering: A First Look
Organized crime inflicts human suffering on a genocidal scale: the Mexic...
read it

Adaptive Planner Scheduling with Graph Neural Networks
Automated planning is one of the foundational areas of AI. Since a singl...
read it
Jie Chen
is this you? claim profile
∙
0
followers
City University of Hong Kong
∙
MIT
∙
ibm
∙
University of Oulu
∙
Alibaba Cloud
∙
Université Nice Sophia Antipolis
∙
IEEE
∙
Hong Kong Baptist University
∙
Institute of Computing Technology, Chinese Academy of Sciences
∙
Nanyang Technological University
∙
University of Rochester
∙
Tencent
∙
Shenzhen University
∙
Peking University
∙
Durham University
∙
Beijing Institute of Technology
∙
NetEase, Inc
Professor