Feng Yu | DeepAI

DeepAI AI Chat

Featured Co-authors

Yu Zhang
379 publications
Yi Yang
301 publications
Qiang Liu
183 publications
Maosong Sun
146 publications
Liang Wang
119 publications
Tieniu Tan
75 publications
Shu Wu
50 publications
Teng Zhang
46 publications
Yanqiao Zhu
27 publications
He Li
24 publications
Wei Luo
19 publications

∙ 09/14/2022

CCOM-HuQin: an Annotated Multimodal Chinese Fiddle Performance Dataset

HuQin is a family of traditional Chinese bowed string instruments. Playi...

0 Yu Zhang, et al. ∙

∙ 05/14/2022

Robust Regularized Low-Rank Matrix Models for Regression and Classification

While matrix variate regression models have been studied in many existin...

0 Hsin-Hsiung Huang, et al. ∙

∙ 03/03/2022

Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data

Despite enormous research interest and rapid application of federated le...

0 Yiu-Ming Cheung, et al. ∙

∙ 09/28/2021

An Efficient Network Design for Face Video Super-resolution

Face video super-resolution algorithm aims to reconstruct realistic face...

0 Feng Yu, et al. ∙

∙ 02/20/2021

ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network

The paper considers a Mixture Multilayer Stochastic Block Model (MMLSBM)...

0 Xing Fan, et al. ∙

∙ 01/11/2021

Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction

Click-through rate (CTR) prediction, which aims to predict the probabili...

0 Yanqiao Zhu, et al. ∙

∙ 10/30/2020

Deep Active Graph Representation Learning

Graph neural networks (GNNs) aim to learn graph representations that pre...

28 Yanqiao Zhu, et al. ∙

∙ 10/27/2020

Graph Contrastive Learning with Adaptive Augmentation

Recently, contrastive learning (CL) has emerged as a successful method f...

10 Yanqiao Zhu, et al. ∙

∙ 09/03/2020

CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning

Unsupervised graph representation learning aims to learn low-dimensional...

7 Yanqiao Zhu, et al. ∙

∙ 08/17/2020

Disentangled Item Representation for Recommender Systems

Item representations in recommendation systems are expected to reveal th...

0 Zeyu Cui, et al. ∙

∙ 06/29/2020

TFNet: Multi-Semantic Feature Interaction for CTR Prediction

The CTR (Click-Through Rate) prediction plays a central role in the doma...

0 Shu Wu, et al. ∙

∙ 06/07/2020

Deep Graph Contrastive Representation Learning

Graph representation learning nowadays becomes fundamental in analyzing ...

10 Yanqiao Zhu, et al. ∙

∙ 05/06/2020

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation

Session-based recommendation nowadays plays a vital role in many website...

0 Feng Yu, et al. ∙

∙ 08/06/2019

An Algorithm for Graph-Fused Lasso Based on Graph Decomposition

This work proposes a new algorithm for solving the graph-fused lasso (GF...

0 Feng Yu, et al. ∙

∙ 04/29/2019

Learning Longer-term Dependencies via Grouped Distributor Unit

Learning long-term dependencies still remains difficult for recurrent ne...

0 Wei Luo, et al. ∙

∙ 12/31/2018

Security analysis of a self-embedding fragile image watermark scheme

Recently, a self-embedding fragile watermark scheme based on reference-b...

0 Xinhui Gong, et al. ∙

∙ 12/31/2018

Differential cryptanalysis of image cipher using block-based scrambling and image filtering

Recently, an image encryption algorithm using block-based scrambling and...

0 Feng Yu, et al. ∙

∙ 09/29/2016

ICE: Information Credibility Evaluation on Social Media via Representation Learning

With the rapid growth of social media, rumors are also spreading widely ...

0 Qiang Liu, et al. ∙