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09/14/2022
CCOM-HuQin: an Annotated Multimodal Chinese Fiddle Performance Dataset
HuQin is a family of traditional Chinese bowed string instruments. Playi...
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05/14/2022
Robust Regularized Low-Rank Matrix Models for Regression and Classification
While matrix variate regression models have been studied in many existin...
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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...
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09/28/2021
An Efficient Network Design for Face Video Super-resolution
Face video super-resolution algorithm aims to reconstruct realistic face...
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02/20/2021
ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network
The paper considers a Mixture Multilayer Stochastic Block Model (MMLSBM)...
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01/11/2021
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction
Click-through rate (CTR) prediction, which aims to predict the probabili...
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10/30/2020
Deep Active Graph Representation Learning
Graph neural networks (GNNs) aim to learn graph representations that pre...
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10/27/2020
Graph Contrastive Learning with Adaptive Augmentation
Recently, contrastive learning (CL) has emerged as a successful method f...
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09/03/2020
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning
Unsupervised graph representation learning aims to learn low-dimensional...
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08/17/2020
Disentangled Item Representation for Recommender Systems
Item representations in recommendation systems are expected to reveal th...
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06/29/2020
TFNet: Multi-Semantic Feature Interaction for CTR Prediction
The CTR (Click-Through Rate) prediction plays a central role in the doma...
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06/07/2020
Deep Graph Contrastive Representation Learning
Graph representation learning nowadays becomes fundamental in analyzing ...
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05/06/2020
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
Session-based recommendation nowadays plays a vital role in many website...
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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...
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04/29/2019
Learning Longer-term Dependencies via Grouped Distributor Unit
Learning long-term dependencies still remains difficult for recurrent ne...
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12/31/2018
Security analysis of a self-embedding fragile image watermark scheme
Recently, a self-embedding fragile watermark scheme based on reference-b...
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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...
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09/29/2016