
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
The success of deep learning has been widely recognized in many machine ...
read it

Particle Competition and Cooperation for SemiSupervised Learning with Label Noise
Semisupervised learning methods are usually employed in the classificat...
read it

CodeBridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks
In this paper, we propose CodeBridged Classifier (CBC), a framework for...
read it

Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection
Object selection refers to the mechanism of extracting objects of intere...
read it

TGGAN: Deep Generative Models for Continuouslytime Temporal Graph Generation
Recently deep generative models for static networks have been under acti...
read it

Deep Multiattributed Graph Translation with NodeEdge Coevolution
Generalized from image and language translation, graph translation aims ...
read it

Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder
Much scientific enquiry across disciplines is founded upon a mechanistic...
read it

Dynamic Reconstruction of Deformable Softtissue with Stereo Scope in Minimal Invasive Surgery
In minimal invasive surgery, it is important to rebuild and visualize th...
read it

Efficient two step optimization for large embedded deformation graph based SLAM
Embedded deformation nodes based formulation has been widely applied in ...
read it

Chronnet: a networkbased model for spatiotemporal data analysis
The amount and size of spatiotemporal data sets from different domains h...
read it

TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction
Critical incident stages identification and reasonable prediction of tra...
read it

Occlusion Aware Unsupervised Learning of Optical Flow
It has been recently shown that a convolutional neural network can learn...
read it

Unsupervised Learning of Geometry with Edgeaware DepthNormal Consistency
Learning to reconstruct depths in a single image by watching unlabeled v...
read it

A Generic Framework for Interesting Subspace Cluster Detection in Multiattributed Networks
Detection of interesting (e.g., coherent or anomalous) clusters has been...
read it

Online and Distributed Robust Regressions under Adversarial Data Corruption
In today's era of big data, robust leastsquares regression becomes a mo...
read it

Spatial Neural Networks and their Functional Samples: Similarities and Differences
Models of neural networks have proven their utility in the development o...
read it

Unsupervised Learning Layers for Video Analysis
This paper presents two unsupervised learning layers (UL layers) for lab...
read it

Network Unfolding Map by Edge Dynamics Modeling
The emergence of collective dynamics in neural networks is a mechanism o...
read it

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
Recently low displacement rank (LDR) matrices, or socalled structured m...
read it

High Level Pattern Classification via Tourist Walks in Networks
Complex networks refer to largescale graphs with nontrivial connection ...
read it

Time Series Clustering via Community Detection in Networks
In this paper, we propose a technique for time series clustering using c...
read it

A feasible roadmap for developing volumetric probability atlas of localized prostate cancer
A statistical volumetric model, showing the probability map of localized...
read it

Feature learning in featuresample networks using multiobjective optimization
Data and knowledge representation are fundamental concepts in machine le...
read it

MISSLAM: Realtime Large Scale Dense Deformable SLAM System in Minimal Invasive Surgery Based on Heterogeneous Computing
Realtime simultaneously localization and dense mapping is very helpful ...
read it

Learning to Explore with MetaPolicy Gradient
The performance of offpolicy learning, including deep Qlearning and de...
read it

On the Universal Approximation Property and Equivalence of Stochastic Computingbased Neural Networks and Binary Neural Networks
Largescale deep neural networks are both memory intensive and computati...
read it

Deep Graph Translation
Inspired by the tremendous success of deep generative models on generati...
read it

Modified Regularized Dual Averaging Method for Training Sparse Convolutional Neural Networks
We proposed a modified regularized dual averaging method for training sp...
read it

Distributed SelfPaced Learning in Alternating Direction Method of Multipliers
Selfpaced learning (SPL) mimics the cognitive process of humans, who ge...
read it

SourceCritical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language
To deploy a spoken language understanding (SLU) model to a new language,...
read it

Organ at Risk Segmentation in Head and Neck CT Images by Using a TwoStage Segmentation Framework Based on 3D UNet
Accurate segmentation of organ at risk (OAR) play a critical role in the...
read it

Parallax Bundle Adjustment on Manifold with Convexified Initialization
Bundle adjustment (BA) with parallax angle based feature parameterizatio...
read it

Deterministic Proof Of Work
Blockchains such as Bitcoin and Ethereum designed their consensus protoc...
read it

Linear SLAM: Linearising the SLAM Problems using Submap Joining
The main contribution of this paper is a new submap joining based approa...
read it

Interpretable Convolutional Filter Pruning
The sophisticated structure of Convolutional Neural Network (CNN) allows...
read it

WALLE: An Efficient Reinforcement Learning Research Framework
There are two halves to RL systems: experience collection time and polic...
read it

An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines under Dynamic Priority Scheduling
Schedulability is a fundamental problem in realtime scheduling, but it ...
read it

Robust Regression via Online Feature Selection under Adversarial Data Corruption
The presence of data corruption in usergenerated streaming data, such a...
read it

CircConv: A Structured Convolution with Low Complexity
Deep neural networks (DNNs), especially deep convolutional neural networ...
read it

Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning
Circuit obfuscation is a recently proposed defense mechanism to protect ...
read it

Learning Good Representation via Continuous Attention
In this paper we present our scientific discovery that good representati...
read it

Algorithms to compute the BurrowsWheeler Similarity Distribution
The BurrowsWheeler transform (BWT) is a well studied text transformatio...
read it

Global Fire Season Severity Analysis and Forecasting
Global fire activity has a huge impact on human lives. In recent years, ...
read it

Interpreting and Evaluating Neural Network Robustness
Recently, adversarial deception becomes one of the most considerable thr...
read it

ADMM for Efficient Deep Learning with Global Convergence
Alternating Direction Method of Multipliers (ADMM) has been used success...
read it

Machine LearningBased DelayAware UAV Detection and Operation Mode Identification over Encrypted WiFi Traffic
The consumer UAV (unmanned aerial vehicle) market has grown significantl...
read it

Low Rank Approximation at Sublinear Cost by Means of Subspace Sampling
Low Rank Approximation (LRA) of a matrix is a hot research subject, fund...
read it

Counting Roots of a Polynomial in a Convex Compact Region by Means of Winding Number Calculation via Sampling
In this paper, we propose a novel efficient algorithm for calculating wi...
read it

An observable time series based SLAM algorithm for deforming environment
In this paper, we study the backend of simultaneous localization and ma...
read it

CBOWRA: A Representation Learning Approach for Medication Anomaly Detection
Electronic health record is an important source for clinical researches ...
read it
Liang Zhao
is this you? claim profile
Assistant Professor at Lehman College of The City University of New York