
What Can We Learn from the Travelers Data in Detecting Disease Outbreaks – A Case Study of the COVID19 Epidemic
Background: Travel is a potent force in the emergence of disease. We dis...
read it

SFGRASS: SolverFree Graph Spectral Sparsification
Recent spectral graph sparsification techniques have shown promising per...
read it

Exploring Cohesive Subgraphs with Vertex Engagement and Tie Strength in Bipartite Graphs
We propose a novel cohesive subgraph model called τstrengthened (α,β)c...
read it

ConsensusAware VisualSemantic Embedding for ImageText Matching
Imagetext matching plays a central role in bridging vision and language...
read it

A fully datadriven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating
A new approach in stochastic optimization via the use of stochastic grad...
read it

Efficient Matrix Factorization on Heterogeneous CPUGPU Systems
Matrix Factorization (MF) has been widely applied in machine learning an...
read it

AOT: Pushing the Efficiency Boundary of Mainmemory Triangle Listing
Triangle listing is an important topic significant in many practical app...
read it

Understanding and adjusting the selection bias from a proofofconcept study to a more confirmatory study
It has long been noticed that the efficacy observed in small early phase...
read it

Carbide: Highly Reliable Networks Through RealTime Multiple Control Plane Composition
Achieving highly reliable networks is essential for network operators to...
read it

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
Entity interaction prediction is essential in many important application...
read it

Binarized Graph Neural Network
Recently, there have been some breakthroughs in graph analysis by applyi...
read it

Graph3S: A Simple, Speedy and Scalable Distributed Graph Processing System
Graph is a ubiquitous structure in many domains. The rapidly increasing ...
read it

Efficient Bitruss Decomposition for Largescale Bipartite Graphs
Cohesive subgraph mining in bipartite graphs becomes a popular research ...
read it

VulnDS: Topk Vulnerable SME Detection System in NetworkedLoans
Groups of small and medium enterprises (SMEs) can back each other to obt...
read it

Understanding the Teaching Styles by an Attention based Multitask Crossmedia Dimensional modelling
Teaching style plays an influential role in helping students to achieve ...
read it

Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization
Within the context of empirical risk minimization, see Raginsky, Rakhlin...
read it

TaskOriented Conversation Generation Using Heterogeneous Memory Networks
How to incorporate external knowledge into a neural dialogue model is cr...
read it

Improving Captioning for LowResource Languages by Cycle Consistency
Improving the captioning performance on lowresource languages by levera...
read it

Concury: A Fast and Lightweighted Software Load Balancer
A load balancer (LB) is a vital network function for cloud services to b...
read it

A Survey and Experimental Analysis of Distributed Subgraph Matching
Recently there emerge many distributed algorithms that aim at solving su...
read it

On stochastic gradient Langevin dynamics with dependent data streams: the fully nonconvex case
We consider the problem of sampling from a target distribution which is ...
read it

A Survey of Community Search Over Big Graphs
With the rapid development of information technologies, various big grap...
read it

Voiceprint recognition of Parkinson patients based on deep learning
More than 90 disorders. Speech impairment is already indicator of PD. Th...
read it

Towards Scalable Spectral Sparsification of Directed Graphs
Recent spectral graph sparsification research allows constructing nearly...
read it

A Novel Bin Design Problem and High Performance Algorithm for Ecommerce Logistics System
Packing cost accounts for a large part of the ecommerce logistics cost....
read it

Efficient and HighQuality Seeded Graph Matching: Employing High Order Structural Information
Driven by many real applications, we study the problem of seeded graph m...
read it

Semiparametric Analysis of Competing Risks Data Under Missing Cause of Failure
The cause of failure information in cohort studies that involve competin...
read it

GBKMV: An Augmented KMV Sketch for Approximate Containment Similarity Search
In this paper, we study the problem of approximate containment similarit...
read it

Higher Order Langevin Monte Carlo Algorithm
A new (unadjusted) Langevin Monte Carlo (LMC) algorithm with improved ra...
read it

FashionGen: The Generative Fashion Dataset and Challenge
We introduce a new dataset of 293,008 high definition (1360 x 1360 pixel...
read it

Quaternion Convolutional Neural Networks for EndtoEnd Automatic Speech Recognition
Recently, the connectionist temporal classification (CTC) model coupled ...
read it

Medical Concept Embedding with TimeAware Attention
Embeddings of medical concepts such as medication, procedure and diagnos...
read it

IDEL: InDatabase Entity Linking with Neural Embeddings
We present a novel architecture, InDatabase Entity Linking (IDEL), in w...
read it

Online Product Quantization
Approximate nearest neighbor (ANN) search has achieved great success in ...
read it

FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe
A core business in the fashion industry is the understanding and predict...
read it

DevicetoDevice Load Balancing for Cellular Networks
Smallcell architecture is widely adopted by cellular network operators ...
read it

Deep Mutual Learning
Model distillation is an effective and widely used technique to transfer...
read it

Deep Complex Networks
At present, the vast majority of building blocks, techniques, and archit...
read it

Fully Distributed and Asynchronized Stochastic Gradient Descent for Networked Systems
This paper considers a general datafitting problem over a networked sys...
read it

Towards EndtoEnd Speech Recognition with Deep Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are effective models for reducing s...
read it

EndtoEnd Data Visualization by Metric Learning and Coordinate Transformation
This paper presents a deep nonlinear metric learning framework for data ...
read it

Professor Forcing: A New Algorithm for Training Recurrent Networks
The Teacher Forcing algorithm trains recurrent networks by supplying obs...
read it

Recurrent Neural Networks With Limited Numerical Precision
Recurrent Neural Networks (RNNs) produce stateofart performance on man...
read it

Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
read it

Batch Normalized Recurrent Neural Networks
Recurrent Neural Networks (RNNs) are powerful models for sequential data...
read it
Ying Zhang
is this you? claim profile
Associate Professor and ARC Future Fellow at the University of Technology, Sydney (UTS)