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07/24/2023
HeteFedRec: Federated Recommender Systems with Model Heterogeneity
Owing to the nature of privacy protection, federated recommender systems...
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07/20/2023
Hybrid Feature Embedding For Automatic Building Outline Extraction
Building outline extracted from high-resolution aerial images can be use...
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05/14/2023
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures
Federated recommender systems (FedRecs) have been widely explored recent...
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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...
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04/24/2023
Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling
Knowledge graphs (KGs) have become important auxiliary information for h...
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04/06/2023
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures
Federated Recommender Systems (FedRecs) are considered privacy-preservin...
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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...
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01/26/2023
Interaction-level Membership Inference Attack Against Federated Recommender Systems
The marriage of federated learning and recommender system (FedRec) has b...
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10/20/2022
Federated Unlearning for On-Device Recommendation
The increasing data privacy concerns in recommendation systems have made...
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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...
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05/22/2022
CIRCLE: Continual Repair across Programming Languages
Automatic Program Repair (APR) aims at fixing buggy source code with les...
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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...
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01/24/2022
Unified Question Generation with Continual Lifelong Learning
Question Generation (QG), as a challenging Natural Language Processing t...
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06/10/2021
CAT: Cross Attention in Vision Transformer
Since Transformer has found widespread use in NLP, the potential of Tran...
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11/04/2020
EAdam Optimizer: How ε Impact Adam
Many adaptive optimization methods have been proposed and used in deep l...
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09/28/2018
semantic segmentation for urban planning maps based on u-net
The automatic digitizing of paper maps is a significant and challenging ...
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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)...
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05/14/2018
Multi-view Common Component Discriminant Analysis for Cross-view Classification
Cross-view classification that means to classify samples from heterogene...
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03/04/2015
