
Similarity Reasoning and Filtration for ImageText Matching
Imagetext matching plays a critical role in bridging the vision and lan...
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Infusing MultiSource Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
The success of emotional conversation systems depends on sufficient perc...
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Efficient and Effective Community Search on Largescale Bipartite Graphs
Bipartite graphs are widely used to model relationships between two type...
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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...
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SFGRASS: SolverFree Graph Spectral Sparsification
Recent spectral graph sparsification techniques have shown promising per...
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Exploring Cohesive Subgraphs with Vertex Engagement and Tie Strength in Bipartite Graphs
We propose a novel cohesive subgraph model called τstrengthened (α,β)c...
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ConsensusAware VisualSemantic Embedding for ImageText Matching
Imagetext matching plays a central role in bridging vision and language...
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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...
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Efficient Matrix Factorization on Heterogeneous CPUGPU Systems
Matrix Factorization (MF) has been widely applied in machine learning an...
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AOT: Pushing the Efficiency Boundary of Mainmemory Triangle Listing
Triangle listing is an important topic significant in many practical app...
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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...
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Carbide: Highly Reliable Networks Through RealTime Multiple Control Plane Composition
Achieving highly reliable networks is essential for network operators to...
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GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
Entity interaction prediction is essential in many important application...
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Binarized Graph Neural Network
Recently, there have been some breakthroughs in graph analysis by applyi...
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Graph3S: A Simple, Speedy and Scalable Distributed Graph Processing System
Graph is a ubiquitous structure in many domains. The rapidly increasing ...
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Efficient Bitruss Decomposition for Largescale Bipartite Graphs
Cohesive subgraph mining in bipartite graphs becomes a popular research ...
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VulnDS: Topk Vulnerable SME Detection System in NetworkedLoans
Groups of small and medium enterprises (SMEs) can back each other to obt...
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Understanding the Teaching Styles by an Attention based Multitask Crossmedia Dimensional modelling
Teaching style plays an influential role in helping students to achieve ...
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Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization
Within the context of empirical risk minimization, see Raginsky, Rakhlin...
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TaskOriented Conversation Generation Using Heterogeneous Memory Networks
How to incorporate external knowledge into a neural dialogue model is cr...
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Improving Captioning for LowResource Languages by Cycle Consistency
Improving the captioning performance on lowresource languages by levera...
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Concury: A Fast and Lightweighted Software Load Balancer
A load balancer (LB) is a vital network function for cloud services to b...
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A Survey and Experimental Analysis of Distributed Subgraph Matching
Recently there emerge many distributed algorithms that aim at solving su...
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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 ...
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A Survey of Community Search Over Big Graphs
With the rapid development of information technologies, various big grap...
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Voiceprint recognition of Parkinson patients based on deep learning
More than 90 disorders. Speech impairment is already indicator of PD. Th...
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Towards Scalable Spectral Sparsification of Directed Graphs
Recent spectral graph sparsification research allows constructing nearly...
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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....
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Efficient and HighQuality Seeded Graph Matching: Employing High Order Structural Information
Driven by many real applications, we study the problem of seeded graph m...
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Semiparametric Analysis of Competing Risks Data Under Missing Cause of Failure
The cause of failure information in cohort studies that involve competin...
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GBKMV: An Augmented KMV Sketch for Approximate Containment Similarity Search
In this paper, we study the problem of approximate containment similarit...
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Higher Order Langevin Monte Carlo Algorithm
A new (unadjusted) Langevin Monte Carlo (LMC) algorithm with improved ra...
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FashionGen: The Generative Fashion Dataset and Challenge
We introduce a new dataset of 293,008 high definition (1360 x 1360 pixel...
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Quaternion Convolutional Neural Networks for EndtoEnd Automatic Speech Recognition
Recently, the connectionist temporal classification (CTC) model coupled ...
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Medical Concept Embedding with TimeAware Attention
Embeddings of medical concepts such as medication, procedure and diagnos...
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IDEL: InDatabase Entity Linking with Neural Embeddings
We present a novel architecture, InDatabase Entity Linking (IDEL), in w...
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Online Product Quantization
Approximate nearest neighbor (ANN) search has achieved great success in ...
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FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe
A core business in the fashion industry is the understanding and predict...
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DevicetoDevice Load Balancing for Cellular Networks
Smallcell architecture is widely adopted by cellular network operators ...
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Deep Mutual Learning
Model distillation is an effective and widely used technique to transfer...
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Deep Complex Networks
At present, the vast majority of building blocks, techniques, and archit...
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Fully Distributed and Asynchronized Stochastic Gradient Descent for Networked Systems
This paper considers a general datafitting problem over a networked sys...
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Towards EndtoEnd Speech Recognition with Deep Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are effective models for reducing s...
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EndtoEnd Data Visualization by Metric Learning and Coordinate Transformation
This paper presents a deep nonlinear metric learning framework for data ...
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Professor Forcing: A New Algorithm for Training Recurrent Networks
The Teacher Forcing algorithm trains recurrent networks by supplying obs...
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Recurrent Neural Networks With Limited Numerical Precision
Recurrent Neural Networks (RNNs) produce stateofart performance on man...
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Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
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Batch Normalized Recurrent Neural Networks
Recurrent Neural Networks (RNNs) are powerful models for sequential data...
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Ying Zhang
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Associate Professor and ARC Future Fellow at the University of Technology, Sydney (UTS)