Liang Hou | DeepAI

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Jie Zhang
215 publications
Xueqi Cheng
129 publications
Huawei Shen
56 publications
Fei Sun
51 publications
Lei Huang
49 publications
Changhu Wang
45 publications
Junjie Huang
43 publications
Zehuan Yuan
42 publications
Qi Cao
31 publications
Bo Lin
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Bingbing Xu
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∙ 05/25/2023

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

The generalization of neural networks is a central challenge in machine ...

0 Yige Yuan, et al. ∙

∙ 05/23/2023

Layer-adaptive Structured Pruning Guided by Latency

Structured pruning can simplify network architecture and improve inferen...

0 Siyuan Pan, et al. ∙

∙ 02/16/2023

Graph Adversarial Immunization for Certifiable Robustness

Despite achieving great success, graph neural networks (GNNs) are vulner...

0 Shuchang Tao, et al. ∙

∙ 08/03/2022

Adversarial Camouflage for Node Injection Attack on Graphs

Node injection attacks against Graph Neural Networks (GNNs) have receive...

0 Shuchang Tao, et al. ∙

∙ 05/31/2022

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training

Training generative adversarial networks (GANs) with limited data is val...

0 Liang Hou, et al. ∙

∙ 04/25/2022

Fine-tuning Pruned Networks with Linear Over-parameterization

Structured pruning compresses neural networks by reducing channels (filt...

0 Siyuan Pan, et al. ∙

∙ 07/21/2021

cGANs with Auxiliary Discriminative Classifier

Conditional generative models aim to learn the underlying joint distribu...

9 Liang Hou, et al. ∙

∙ 06/16/2021

Self-supervised GANs with Label Augmentation

Recently, transformation-based self-supervised learning has been applied...

0 Liang Hou, et al. ∙

∙ 01/07/2021

SDGNN: Learning Node Representation for Signed Directed Networks

Network embedding is aimed at mapping nodes in a network into low-dimens...

0 Junjie Huang, et al. ∙

∙ 12/10/2020

Slimmable Generative Adversarial Networks

Generative adversarial networks (GANs) have achieved remarkable progress...

0 Liang Hou, et al. ∙

∙ 07/27/2020

Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification

Graph neural networks (GNNs) achieve remarkable success in graph-based s...

6 Bingbing Xu, et al. ∙

∙ 07/19/2020

Adversarial Immunization for Improving Certifiable Robustness on Graphs

Despite achieving strong performance in the semi-supervised node classif...

0 Shuchang Tao, et al. ∙

∙ 06/26/2019

Signed Graph Attention Networks

Graph or network data is ubiquitous in the real world, including social ...

0 Junjie Huang, et al. ∙

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