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10/03/2022
Spectral2Spectral: Image-spectral Similarity Assisted Spectral CT Deep Reconstruction without Reference
The photon-counting detector (PCD) based spectral computed tomography at...
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07/06/2022
Network Pruning via Feature Shift Minimization
Channel pruning is widely used to reduce the complexity of deep network ...
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07/02/2022
Dissecting Service Mesh Overheads
Service meshes play a central role in the modern application ecosystem b...
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06/05/2022
Demystifying the Global Convergence Puzzle of Learning Over-parameterized ReLU Nets in Very High Dimensions
This theoretical paper is devoted to developing a rigorous theory for de...
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03/30/2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation
The recently proposed Graph Convolutional Networks (GCNs) have achieved ...
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03/28/2022
Multi-model Ensemble Learning Method for Human Expression Recognition
Analysis of human affect plays a vital role in human-computer interactio...
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04/30/2021
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph
Conversational Recommender Systems (CRSs) in E-commerce platforms aim to...
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06/07/2020
Single-Layer Graph Convolutional Networks For Recommendation
Graph Convolutional Networks (GCNs) and their variants have received sig...
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05/09/2020
SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems
On social network platforms, a user's behavior is based on his/her perso...
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09/11/2019
DNANet: De-Normalized Attention Based Multi-Resolution Network for Human Pose Estimation
Recently, multi-resolution networks (such as Hourglass, CPN, HRNet, etc....
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03/25/2019