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09/08/2023
Score-PA: Score-based 3D Part Assembly
Autonomous 3D part assembly is a challenging task in the areas of roboti...
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08/25/2023
Using Adamic-Adar Index Algorithm to Predict Volunteer Collaboration: Less is More
Social networks exhibit a complex graph-like structure due to the uncert...
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05/02/2023
Data valuation: The partial ordinal Shapley value for machine learning
Data valuation using Shapley value has emerged as a prevalent research d...
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04/24/2023
Universal Domain Adaptation via Compressive Attention Matching
Universal domain adaptation (UniDA) aims to transfer knowledge from the ...
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04/06/2023
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients
Federated learning (FL) is a distributed framework for collaboratively t...
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03/17/2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier
Data heterogeneity is an inherent challenge that hinders the performance...
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12/09/2022
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management
During the deployment of deep neural networks (DNNs) on edge devices, ma...
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10/06/2022
DeltaFS: Pursuing Zero Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Devices
Data compression has been widely adopted to release mobile devices from ...
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09/01/2022
Federated Learning with Label Distribution Skew via Logits Calibration
Traditional federated optimization methods perform poorly with heterogen...
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06/20/2022
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
Collaborative multi-agent reinforcement learning (MARL) has been widely ...
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04/19/2022
Software Engineers Response to Public Crisis: Lessons Learnt from Spontaneously Building an Informative COVID-19 Dashboard
The Coronavirus disease 2019 (COVID-19) outbreak quickly spread around t...
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03/29/2022
Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification
To learn camera-view invariant features for person Re-IDentification (Re...
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03/23/2022
Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching
In federated learning (FL), clients may have diverse objectives, merging...
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01/28/2022
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning
Adversarial examples are inputs for machine learning models that have be...
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11/11/2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey
Influenced by the great success of deep learning via cloud computing and...
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11/09/2021
Unified Group Fairness on Federated Learning
Federated learning (FL) has emerged as an important machine learning par...
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10/26/2021
Ensemble Federated Adversarial Training with Non-IID data
Despite federated learning endows distributed clients with a cooperative...
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05/24/2021
Federated Graph Learning – A Position Paper
Graph neural networks (GNN) have been successful in many fields, and der...
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04/15/2021
Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent
By leveraging deep learning based technologies, the data-driven based ap...
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11/19/2020
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation
Conventional unsupervised multi-source domain adaptation(UMDA) methods a...
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10/21/2020
GFL: A Decentralized Federated Learning Framework Based On Blockchain
Due to people's emerging concern about data privacy, federated learning(...
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10/18/2020
Federated Unsupervised Representation Learning
To leverage enormous unlabeled data on distributed edge devices, we form...
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06/27/2020
Federated Mutual Learning
Federated learning enables collaboratively training machine learning mod...
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03/03/2020
Evaluation Framework For Large-scale Federated Learning
Federated learning is proposed as a machine learning setting to enable d...
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02/06/2020
Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach
Peer-to-peer knowledge transfer in distributed environments has emerged ...
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04/22/2019
Galaxy Learning – A Position Paper
The recent rapid development of artificial intelligence (AI, mainly driv...
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06/13/2018
Deep Sequence Learning with Auxiliary Information for Traffic Prediction
Predicting traffic conditions from online route queries is a challenging...
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05/19/2018
Generative Creativity: Adversarial Learning for Bionic Design
Bionic design refers to an approach of generative creativity in which a ...
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11/20/2017
Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security
Deep learning methods can play a crucial role in anomaly detection, pred...
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07/21/2017
Semantic Image Synthesis via Adversarial Learning
In this paper, we propose a way of synthesizing realistic images directl...
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03/12/2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
The present study proposes a deep learning model, named DeepSleepNet, fo...
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01/10/2017
Unsupervised Image-to-Image Translation with Generative Adversarial Networks
It's useful to automatically transform an image from its original form t...
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10/15/2016
Mixed Neural Network Approach for Temporal Sleep Stage Classification
This paper proposes a practical approach to addressing limitations posed...
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09/21/2015
