Duo Wang | DeepAI

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Featured Co-authors

Ming Li
199 publications
Pietro Liò
159 publications
Yu Cheng
139 publications
Yuan Xie
118 publications
Pan Zhou
99 publications
Mo Yu
88 publications
Qian Li
80 publications
Nicholas D. Lane
67 publications
Pascal Vincent
59 publications
Petar Veličković
59 publications
Han Li
49 publications

∙ 07/24/2023

HiHGNN: Accelerating HGNNs through Parallelism and Data Reusability Exploitation

Heterogeneous graph neural networks (HGNNs) have emerged as powerful alg...

0 Runzhen Xue, et al. ∙

∙ 07/15/2022

Multi-node Acceleration for Large-scale GCNs

Limited by the memory capacity and compute power, singe-node graph convo...

0 Gongjian Sun, et al. ∙

∙ 02/23/2022

Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration

Previous graph analytics accelerators have achieved great improvement on...

0 Haiyang Lin, et al. ∙

∙ 02/09/2022

Model Architecture Adaption for Bayesian Neural Networks

Bayesian Neural Networks (BNNs) offer a mathematically grounded framewor...

0 Duo Wang, et al. ∙

∙ 12/22/2021

Fine-grained Multi-Modal Self-Supervised Learning

Multi-Modal Self-Supervised Learning from videos has been shown to impro...

0 Duo Wang, et al. ∙

∙ 11/02/2020

Pairwise Relations Discriminator for Unsupervised Raven's Progressive Matrices

Abstract reasoning is a key indicator of intelligence. The ability to hy...

0 Nicholas Quek Wei Kiat, et al. ∙

∙ 09/19/2020

Learned Low Precision Graph Neural Networks

Deep Graph Neural Networks (GNNs) show promising performance on a range ...

0 Yiren Zhao, et al. ∙

∙ 08/04/2020

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

During the COVID-19 pandemic, rapid and accurate triage of patients at t...

71 Farah E Shamout, et al. ∙

∙ 07/14/2020

Top-Related Meta-Learning Method for Few-Shot Detection

Many meta-learning methods which depend on a large amount of data and mo...

0 Qian Li, et al. ∙

∙ 06/19/2020

Abstract Diagrammatic Reasoning with Multiplex Graph Networks

Abstract reasoning, particularly in the visual domain, is a complex huma...

0 Duo Wang, et al. ∙

∙ 06/15/2020

Generalisable Relational Reasoning With Comparators in Low-Dimensional Manifolds

While modern deep neural architectures generalise well when test data is...

0 Duo Wang, et al. ∙

∙ 03/21/2020

Probabilistic Dual Network Architecture Search on Graphs

We present the first differentiable Network Architecture Search (NAS) fo...

0 Yiren Zhao, et al. ∙

∙ 07/24/2019

Mixed-Supervised Dual-Network for Medical Image Segmentation

Deep learning-based medical image segmentation models usually require la...

9 Duo Wang, et al. ∙

∙ 04/04/2019

A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning

Few-shot learning aims to learn classifiers for new classes with only a ...

0 Duo Wang, et al. ∙

∙ 03/14/2019

Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat

In this work we present Discrete Attend Infer Repeat (Discrete-AIR), a R...

0 Duo Wang, et al. ∙

∙ 11/21/2018

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Accelerating Magnetic Resonance Imaging (MRI) by taking fewer measuremen...

21 Jure Žbontar, et al. ∙

∙ 10/23/2017

A Survey of Model Compression and Acceleration for Deep Neural Networks

Deep convolutional neural networks (CNNs) have recently achieved great s...

0 Yu Cheng, et al. ∙

∙ 10/01/2016

X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets

In this paper we propose cross-modal convolutional neural networks (X-CN...

0 Petar Veličković, et al. ∙

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