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09/15/2023
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness
Online advertisements are important elements in e-commerce sites, social...
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03/05/2023
Learned Lossless Compression for JPEG via Frequency-Domain Prediction
JPEG images can be further compressed to enhance the storage and transmi...
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11/22/2022
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation
Cross-domain recommendation is an important method to improve recommende...
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06/06/2022
Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning
Gradient coding schemes effectively mitigate full stragglers in distribu...
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05/31/2022
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling
Pooling and unpooling are two essential operations in constructing hiera...
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04/27/2022
LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning
Graph pooling has been increasingly considered for graph neural networks...
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04/25/2022
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks
It is promising to solve linear inverse problems by unfolding iterative ...
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11/19/2021
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation
Cross-domain recommendation can help alleviate the data sparsity issue i...
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09/18/2021
Optimization-based Block Coordinate Gradient Coding
Existing gradient coding schemes introduce identical redundancy across t...
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08/03/2021
Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets
Spectral graph convolutional networks (SGCNs) have been attracting incre...
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06/18/2021
Message Passing in Graph Convolution Networks via Adaptive Filter Banks
Graph convolution networks, like message passing graph convolution netwo...
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05/31/2021
Meta-HAR: Federated Representation Learning for Human Activity Recognition
Human activity recognition (HAR) based on mobile sensors plays an import...
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12/07/2020
NCGNN: Node-level Capsule Graph Neural Network
Message passing has evolved as an effective tool for designing Graph Neu...
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10/19/2020
MimicNorm: Weight Mean and Last BN Layer Mimic the Dynamic of Batch Normalization
Substantial experiments have validated the success of Batch Normalizatio...
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06/19/2020
Graph Pooling with Node Proximity for Hierarchical Representation Learning
Graph neural networks have attracted wide attentions to enable represent...
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06/20/2019
Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming
In this paper, we study the server-side rate adaptation problem for stre...
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05/05/2019
Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Size
Existing decentralized coded caching solutions cannot guarantee small lo...
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06/13/2018
Android Malware Detection using Large-scale Network Representation Learning
With the growth of mobile devices and applications, the number of malici...
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05/30/2018