
A NetworkBased HighLevel Data Classification Algorithm Using Betweenness Centrality
Data classification is a major machine learning paradigm, which has been...
read it

Tunable Subnetwork Splitting for Modelparallelism of Neural Network Training
Alternating minimization methods have recently been proposed as alternat...
read it

Event Prediction in the Big Data Era: A Systematic Survey
Events are occurrences in specific locations, time, and semantics that n...
read it

A Systematic Survey on Deep Generative Models for Graph Generation
Graphs are important data representations for describing objects and the...
read it

Interpretable Deep Graph Generation with NodeEdge CoDisentanglement
Disentangled representation learning has recently attracted a significan...
read it

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

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

Evolution Features and Behavior Characters of Friendship Networks on Campus Life
Analyzing and mining students' behaviors and interactions from big data ...
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

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

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

Efficient modelbased Bioequivalence Testing
The classical approach to analyze pharmacokinetic (PK) data in bioequiva...
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

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

Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques
We report an object tracking algorithm that combines geometrical constra...
read it

Learning to Recommend via Meta Parameter Partition
In this paper we propose to solve an important problem in recommendation...
read it

Efficient Global String Kernel with Random Features: Beyond Counting Substructures
Analysis of largescale sequential data has been one of the most crucial...
read it

Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
Graph kernels are widely used for measuring the similarity between graph...
read it

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

Analysis of minima for geodesic and chordal cost for a minimal 2D posegraph SLAM problem
In this paper, we show that for a minimal posegraph problem, even in th...
read it

Existence of local minima of a minimal 2D posegraph SLAM problem
In this paper, we show that for a minimal posegraph problem, even in th...
read it

Compositional Generalization for Primitive Substitutions
Compositional generalization is a basic mechanism in human language lear...
read it

BEAN: Interpretable Representation Learning with BiologicallyEnhanced Artificial Neuronal Assembly Regularization
Deep neural networks (DNNs) are known for extracting good representation...
read it

Multistage Deep Classifier Cascades for Open World Recognition
At present, object recognition studies are mostly conducted in a closed ...
read it

DynGraph2Seq: DynamicGraphtoSequence Interpretable Learning for Health Stage Prediction in Online Health Forums
Online health communities such as the online breast cancer forum enable ...
read it

CBOWRA: A Representation Learning Approach for Medication Anomaly Detection
Electronic health record is an important source for clinical researches ...
read it

Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a HighLevel Synthesis Design
The emergence of HighLevel Synthesis (HLS) tools shifted the paradigm o...
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

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

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

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

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

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

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

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

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

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

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

Modified Regularized Dual Averaging Method for Training Sparse Convolutional Neural Networks
We proposed a modified regularized dual averaging method for training sp...
read it
Liang Zhao
is this you? claim profile
Assistant Professor at Lehman College of The City University of New York