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Featured Co-authors

Wei Li
286 publications
Peng Wang
224 publications
Bin Li
210 publications
Bing Liu
102 publications
Ke Chen
95 publications
Ming Yan
79 publications
Dilek Hakkani-Tur
65 publications
Qing Liu
61 publications
Jin Liu
61 publications
Joey Tianyi Zhou
53 publications
Junbo Zhang
45 publications

∙ 07/03/2023

Autism Spectrum Disorder Classification in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder

Autism spectrum disorder (ASD) is a highly disabling mental disease that...

0 Ruimin Ma, et al. ∙

∙ 06/12/2023

Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation

Explainability poses a major challenge to artificial intelligence (AI) t...

0 Ruitao Xie, et al. ∙

∙ 05/29/2023

Intelligent gradient amplification for deep neural networks

Deep learning models offer superior performance compared to other machin...

0 Sunitha Basodi, et al. ∙

∙ 05/23/2023

Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI

Integrating the brain structural and functional connectivity features is...

0 Qiankun Zuo, et al. ∙

∙ 03/03/2023

Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery

Multi-modal integration and classification based on graph learning is am...

0 Junbin Mao, et al. ∙

∙ 07/19/2022

Approximate c-Optimal Experimental Designs with Correlated Observations using Combinatorial Optimisation

We review the use of combinatorial optimisation algorithms to identify a...

0 Samuel I. Watson, et al. ∙

∙ 06/09/2022

Meta-data Study in Autism Spectrum Disorder Classification Based on Structural MRI

Accurate diagnosis of autism spectrum disorder (ASD) based on neuroimagi...

0 Ruimin Ma, et al. ∙

∙ 04/07/2022

Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder

The development of noninvasive brain imaging such as resting-state funct...

0 Fangyu Zhang, et al. ∙

∙ 06/07/2021

Generative Adversarial Networks: A Survey Towards Private and Secure Applications

Generative Adversarial Networks (GAN) have promoted a variety of applica...

0 Zhipeng Cai, et al. ∙

∙ 05/20/2021

Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks

The novel corona virus (Covid-19) has introduced significant challenges ...

12 Thosini Bamunu Mudiyanselage, et al. ∙

∙ 05/10/2021

Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates

Federated Learning (FL) is an emerging decentralized learning framework ...

0 Laizhong Cui, et al. ∙

∙ 04/23/2021

Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification

From crying to babbling and then to speech, infant's vocal tract goes th...

0 Chunyan Ji, et al. ∙

∙ 04/19/2021

Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems

Traditional goal-oriented dialogue systems rely on various components su...

9 Anish Acharya, et al. ∙

∙ 01/31/2021

Infant Cry Classification with Graph Convolutional Networks

We propose an approach of graph convolutional networks for robust infant...

0 Chunyan Ji, et al. ∙

∙ 09/24/2020

PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks

Deep learning has gained great success in various classification tasks. ...

0 Xueli Xiao, et al. ∙

∙ 09/23/2020

Deep Neural Networks with Short Circuits for Improved Gradient Learning

Deep neural networks have achieved great success both in computer vision...

0 Ming Yan, et al. ∙

∙ 09/15/2020

Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association

Graphs can be used to effectively represent complex data structures. Lea...

0 Thosini Bamunu Mudiyanselage, et al. ∙

∙ 07/10/2020

Improved Detection of Adversarial Images Using Deep Neural Networks

Machine learning techniques are immensely deployed in both industry and ...

0 Yutong Gao, et al. ∙

∙ 06/23/2020

Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm

Convolutional Neural Networks (CNN) have gained great success in many ar...

0 Xueli Xiao, et al. ∙

∙ 06/16/2020

Gradient Amplification: An efficient way to train deep neural networks

Improving performance of deep learning models and reducing their trainin...

0 Sunitha Basodi, et al. ∙

∙ 12/27/2018

Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize

Building open domain conversational systems that allow users to have eng...

0 Chandra Khatri, et al. ∙

∙ 01/11/2018

Conversational AI: The Science Behind the Alexa Prize

Conversational agents are exploding in popularity. However, much work re...

0 Ashwin Ram, et al. ∙

∙ 11/22/2017

Three-Stream Convolutional Networks for Video-based Person Re-Identification

This paper aims to develop a new architecture that can make full use of ...

0 Zeng Yu, et al. ∙

∙ 10/08/2017

Reconstruction of Hidden Representation for Robust Feature Extraction

This paper aims to develop a new and robust approach to feature represen...

0 Zeng Yu, et al. ∙

∙ 10/06/2016

Parallel Large-Scale Attribute Reduction on Cloud Systems

The rapid growth of emerging information technologies and application pa...

0 Junbo Zhang, et al. ∙

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