Wei Yuan | DeepAI

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Dacheng Tao
495 publications
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105 publications
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97 publications
Tong Chen
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Fangzhao Wu
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Qi Chen
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Xiapu Luo
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Zi Wang
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Giovanni Montana
48 publications

∙ 07/24/2023

HeteFedRec: Federated Recommender Systems with Model Heterogeneity

Owing to the nature of privacy protection, federated recommender systems...

0 Wei Yuan, et al. ∙

∙ 07/20/2023

Hybrid Feature Embedding For Automatic Building Outline Extraction

Building outline extracted from high-resolution aerial images can be use...

0 Weihang Ran, et al. ∙

∙ 05/14/2023

Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures

Federated recommender systems (FedRecs) have been widely explored recent...

0 Wei Yuan, et al. ∙

∙ 05/11/2023

KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment

Recent legislation of the "right to be forgotten" has led to the interes...

0 Lingzhi Wang, et al. ∙

∙ 04/24/2023

Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling

Knowledge graphs (KGs) have become important auxiliary information for h...

0 Xuhui Ren, et al. ∙

∙ 04/06/2023

Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures

Federated Recommender Systems (FedRecs) are considered privacy-preservin...

0 Wei Yuan, et al. ∙

∙ 03/15/2023

Black-box Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information

The function call graph (FCG) based Android malware detection methods ha...

0 Heng Li, et al. ∙

∙ 01/26/2023

Interaction-level Membership Inference Attack Against Federated Recommender Systems

The marriage of federated learning and recommender system (FedRec) has b...

0 Wei Yuan, et al. ∙

∙ 10/20/2022

Federated Unlearning for On-Device Recommendation

The increasing data privacy concerns in recommendation systems have made...

0 Wei Yuan, et al. ∙

∙ 09/07/2022

Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks

Sampling is an important process in many GNN structures in order to trai...

0 Yuchen Gui, et al. ∙

∙ 05/22/2022

CIRCLE: Continual Repair across Programming Languages

Automatic Program Repair (APR) aims at fixing buggy source code with les...

0 Wei Yuan, et al. ∙

∙ 02/17/2022

CSCNet: Contextual Semantic Consistency Network for Trajectory Prediction in Crowded Spaces

Trajectory prediction aims to predict the movement trend of the agents l...

3 Beihao Xia, et al. ∙

∙ 01/24/2022

Unified Question Generation with Continual Lifelong Learning

Question Generation (QG), as a challenging Natural Language Processing t...

0 Wei Yuan, et al. ∙

∙ 06/10/2021

CAT: Cross Attention in Vision Transformer

Since Transformer has found widespread use in NLP, the potential of Tran...

0 Hezheng Lin, et al. ∙

∙ 11/04/2020

EAdam Optimizer: How ε Impact Adam

Many adaptive optimization methods have been proposed and used in deep l...

1 Wei Yuan, et al. ∙

∙ 09/28/2018

semantic segmentation for urban planning maps based on u-net

The automatic digitizing of paper maps is a significant and challenging ...

0 Zhiling Guo, et al. ∙

∙ 05/21/2018

Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery

Despite the great potential of using the low-rank matrix recovery (LRMR)...

0 Qi Zheng, et al. ∙

∙ 05/14/2018

Multi-view Common Component Discriminant Analysis for Cross-view Classification

Cross-view classification that means to classify samples from heterogene...

0 Xinge You, et al. ∙

∙ 03/04/2015

Sparse multi-view matrix factorisation: a multivariate approach to multiple tissue comparisons

Gene expression levels in a population vary extensively across tissues. ...

0 Zi Wang, et al. ∙

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