b'UNSW'

research

∙ 04/28/2020

Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems

In recent years, the emerging topics of recommender systems that take ad...

Dai Hoang Tran, et al. ∙

research

∙ 09/27/2019

SAT vs CSP: a commentary

In 2000, I published a relatively comprehensive study of mappings betwee...

Toby Walsh, et al. ∙

research

∙ 10/03/2019

A Commentary on "Breaking Row and Column Symmetries in Matrix Models"

The CP 2002 paper entitled "Breaking Row and Column Symmetries in Matrix...

Alan M. Frisch, et al. ∙

research

∙ 01/26/2021

CDSM – Casual Inference using Deep Bayesian Dynamic Survival Models

A smart healthcare system that supports clinicians for risk-calibrated t...

Jie Zhu, et al. ∙

research

∙ 12/18/2019

Collective Embedding-based Entity Alignment via Adaptive Features

Entity alignment (EA) identifies entities that refer to the same real-wo...

Wexin Zeng, et al. ∙

research

∙ 05/05/2020

Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting

Unsupervised domain adaptation (UDA) for nuclei instance segmentation is...

Dongnan Liu, et al. ∙

research

∙ 11/19/2020

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data

Introduction: For COVID-19 patients accurate prediction of disease sever...

Sakifa Aktar, et al. ∙

research

∙ 01/31/2020

Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus

The transparent cornea is the window of the eye, facilitating the entry ...

Nicole Hallett, et al. ∙

research

∙ 07/23/2021

Learning Discriminative Representations for Multi-Label Image Recognition

Multi-label recognition is a fundamental, and yet is a challenging task ...

Mohammed Hassanin, et al. ∙

research

∙ 12/06/2021

Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning

Computer aided diagnostics often requires analysis of a region of intere...

Sankaran Iyer, et al. ∙

research

∙ 09/25/2019

HaarPooling: Graph Pooling with Compressive Haar Basis

Deep Graph Neural Networks (GNNs) are instrumental in graph classificati...

Yu Guang Wang, et al. ∙

research

∙ 04/19/2020

Binarized Graph Neural Network

Recently, there have been some breakthroughs in graph analysis by applyi...

Hanchen Wang, et al. ∙

research

∙ 04/17/2020

Conservative Plane Releasing for Spatial Privacy Protection in Mixed Reality

Augmented reality (AR) or mixed reality (MR) platforms require spatial u...

Jaybie A. de Guzman, et al. ∙

research

∙ 11/22/2019

Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives

We consider the facility location problem in the one-dimensional setting...

Haris Aziz, et al. ∙

research

∙ 05/25/2020

Degree-Aware Alignment for Entities in Tail

Entity alignment (EA) is to discover equivalent entities in knowledge gr...

Weixin Zeng, et al. ∙

research

∙ 05/11/2022

The Meta-Turing Test

We propose an alternative to the Turing test that removes the inherent a...

Toby Walsh, et al. ∙

research

∙ 09/17/2020

Strategy Proof Mechanisms for Facility Location in Euclidean and Manhattan Space

We study the impact on mechanisms for facility location of moving from o...

Toby Walsh, et al. ∙

research

∙ 08/08/2021

Discriminative Latent Semantic Graph for Video Captioning

Video captioning aims to automatically generate natural language sentenc...

Yang Bai, et al. ∙

research

∙ 04/17/2020

Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation

Interactive recommendation aims to learn from dynamic interactions betwe...

Xiaocong Chen, et al. ∙

research

∙ 05/11/2020

Fair Division: The Computer Scientist's Perspective

I survey recent progress on a classic and challenging problem in social ...

Toby Walsh, et al. ∙

research

∙ 07/06/2020

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

Modeling complex spatial and temporal correlations in the correlated tim...

Lei Bai, et al. ∙

research

∙ 05/10/2019

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

A variety of machine learning applications expect to achieve rapid learn...

Lu Liu, et al. ∙

research

∙ 09/01/2019

The Ambiguous World of Emotion Representation

Artificial intelligence and machine learning systems have demonstrated h...

Vidhyasaharan Sethu, et al. ∙

research

∙ 12/21/2021

Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation

Recent progress in encoder-decoder neural network architecture design ha...

Tariq M. Khan, et al. ∙

research

∙ 03/30/2020

A Pebble in the AI Race

Bhutan is sometimes described as pebble between two boulders", a small ...

Toby Walsh, et al. ∙

research

∙ 01/26/2021

Dynamic prediction of time to event with survival curves

With the ever-growing complexity of primary health care system, proactiv...

Jie Zhu, et al. ∙

research

∙ 07/15/2019

Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning

Digital Rock Imaging is constrained by detector hardware, and a trade-of...

Ying Da Wang, et al. ∙

research

∙ 04/12/2020

Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images

The novel coronavirus disease 2019 (COVID-19) has been spreading rapidly...

Xiaocong Chen, et al. ∙

research

∙ 04/22/2020

ML-LBM: Machine Learning Aided Flow Simulation in Porous Media

Simulation of fluid flow in porous media has many applications, from the...

Ying Da Wang, et al. ∙

research

∙ 09/17/2020

Strategy Proof Mechanisms for Facility Location at Limited Locations

Facility location problems often permit facilities to be located at any ...

Toby Walsh, et al. ∙

research

∙ 09/17/2020

Strategy Proof Mechanisms for Facility Location with Capacity Limits

An important feature of many real world facility location problems are c...

Toby Walsh, et al. ∙

research

∙ 01/31/2020

CosmoVAE: Variational Autoencoder for CMB Image Inpainting

Cosmic microwave background radiation (CMB) is critical to the understan...

Kai Yi, et al. ∙

research

∙ 03/24/2020

Real-time 3D object proposal generation and classification under limited processing resources

The task of detecting 3D objects is important to various robotic applica...

Xuesong Li, et al. ∙

research

∙ 05/09/2020

ICE-GAN: Identity-aware and Capsule-Enhanced GAN for Micro-Expression Recognition and Synthesis

Micro-expressions can reflect peoples true feelings and motives, which a...

Jianhui Yu, et al. ∙

research

∙ 02/15/2022

Fairness Amidst Non-IID Graph Data: A Literature Review

Fairness in machine learning (ML), the process to understand and correct...

Wenbin Zhang, et al. ∙

research

∙ 02/13/2020

Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images

Segmentation of 3D micro-Computed Tomographic uCT) images of rock sample...

Ying Da Wang, et al. ∙

research

∙ 04/04/2020

Attacking with bitcoin: Using Bitcoin to Build Resilient Botnet Armies

We focus on the problem of botnet orchestration and discuss how attacker...

Dimitri Kamenski, et al. ∙

research

∙ 11/21/2017

Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition

Multimodal features play a key role in wearable sensor based Human Activ...

Kaixuan Chen, et al. ∙

research

∙ 10/18/2017

Deceased Organ Matching in Australia

Despite efforts to increase the supply of organs from living donors, mos...

Toby Walsh, et al. ∙

research

∙ 08/25/2017

Achieving Proportional Representation via Voting

Proportional representation (PR) is often discussed in voting settings a...

Haris Aziz, et al. ∙

research

∙ 07/27/2017

An Epistemic Foundation for Authentication Logics (Extended Abstract)

While there have been many attempts, going back to BAN logic, to base re...

Joseph Y. Halpern, et al. ∙

research

∙ 09/28/2017

B-CNN: Branch Convolutional Neural Network for Hierarchical Classification

Convolutional Neural Network (CNN) image classifiers are traditionally d...

Xinqi Zhu, et al. ∙

research

∙ 09/26/2017

Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis

An electroencephalography (EEG) based brain activity recognition is a fu...

Xiang Zhang, et al. ∙

research

∙ 09/26/2017

Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals

An electroencephalography (EEG) based Brain Computer Interface (BCI) ena...

Xiang Zhang, et al. ∙

research

∙ 09/18/2017

Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition

Fine-grained visual recognition typically depends on modeling subtle dif...

Lin Wu, et al. ∙

research

∙ 09/05/2017

Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization

Multi-view data clustering attracts more attention than their single vie...

Yang Wang, et al. ∙

research

∙ 05/04/2017

A Reasoning System for a First-Order Logic of Limited Belief

Logics of limited belief aim at enabling computationally feasible reason...

Christoph Schwering, et al. ∙

research

∙ 04/12/2017

Finding Modes by Probabilistic Hypergraphs Shifting

In this paper, we develop a novel paradigm, namely hypergraph shift, to ...

Yang Wang, et al. ∙

research

∙ 08/04/2017

Beyond Low-Rank Representations: Orthogonal Clustering Basis Reconstruction with Optimized Graph Structure for Multi-view Spectral Clustering

Low-Rank Representation (LRR) is arguably one of the most powerful parad...

Yang Wang, et al. ∙

research

∙ 12/16/2014

Sparse, guided feature connections in an Abstract Deep Network

We present a technique for developing a network of re-used features, whe...

Anthony Knittel, et al. ∙

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