b'Chao Wu'

research

∙ 09/08/2023

Score-PA: Score-based 3D Part Assembly

Autonomous 3D part assembly is a challenging task in the areas of roboti...

0 Junfeng Cheng, et al. ∙

research

∙ 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...

0 Chao Wu, et al. ∙

research

∙ 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...

0 Jie Liu, et al. ∙

research

∙ 04/24/2023

Universal Domain Adaptation via Compressive Attention Matching

Universal domain adaptation (UniDA) aims to transfer knowledge from the ...

0 Didi Zhu, et al. ∙

research

∙ 04/06/2023

Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients

Federated learning (FL) is a distributed framework for collaboratively t...

0 Chenrui Wu, et al. ∙

research

∙ 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...

0 Zexi Li, et al. ∙

research

∙ 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...

0 Yifan Gong, et al. ∙

research

∙ 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 ...

0 Chao Wu, et al. ∙

research

∙ 09/01/2022

Federated Learning with Label Distribution Skew via Logits Calibration

Traditional federated optimization methods perform poorly with heterogen...

4 Jie Zhang, et al. ∙

research

∙ 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 ...

0 Shuang Luo, et al. ∙

research

∙ 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...

0 Han Wang, et al. ∙

research

∙ 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...

0 Chao Wu, et al. ∙

research

∙ 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...

0 Zexi Li, et al. ∙

research

∙ 01/28/2022

Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning

Adversarial examples are inputs for machine learning models that have be...

0 Jie Zhang, et al. ∙

research

∙ 11/11/2021

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey

Influenced by the great success of deep learning via cloud computing and...

0 Jiangchao Yao, et al. ∙

research

∙ 11/09/2021

Unified Group Fairness on Federated Learning

Federated learning (FL) has emerged as an important machine learning par...

0 Fengda Zhang, et al. ∙

research

∙ 10/26/2021

Ensemble Federated Adversarial Training with Non-IID data

Despite federated learning endows distributed clients with a cooperative...

0 Shuang Luo, et al. ∙

research

∙ 05/24/2021

Federated Graph Learning – A Position Paper

Graph neural networks (GNN) have been successful in many fields, and der...

0 Huanding Zhang, et al. ∙

research

∙ 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...

0 Zhao Wang, et al. ∙

research

∙ 11/19/2020

KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation

Conventional unsupervised multi-source domain adaptation(UMDA) methods a...

1 Hao-Zhe Feng, et al. ∙

research

∙ 10/21/2020

GFL: A Decentralized Federated Learning Framework Based On Blockchain

Due to people's emerging concern about data privacy, federated learning(...

0 Yifan Hu, et al. ∙

research

∙ 10/18/2020

Federated Unsupervised Representation Learning

To leverage enormous unlabeled data on distributed edge devices, we form...

0 Fengda Zhang, et al. ∙

research

∙ 06/27/2020

Federated Mutual Learning

Federated learning enables collaboratively training machine learning mod...

0 Tao Shen, et al. ∙

research

∙ 03/03/2020

Evaluation Framework For Large-scale Federated Learning

Federated learning is proposed as a machine learning setting to enable d...

0 Lifeng Liu, et al. ∙

research

∙ 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 ...

0 Zeyue Xue, et al. ∙

research

∙ 04/22/2019

Galaxy Learning – A Position Paper

The recent rapid development of artificial intelligence (AI, mainly driv...

0 Chao Wu, et al. ∙

research

∙ 06/13/2018

Deep Sequence Learning with Auxiliary Information for Traffic Prediction

Predicting traffic conditions from online route queries is a challenging...

0 Binbing Liao, et al. ∙

research

∙ 05/19/2018

Generative Creativity: Adversarial Learning for Bionic Design

Bionic design refers to an approach of generative creativity in which a ...

0 Simiao Yu, et al. ∙

research

∙ 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...

0 Hao Dong, et al. ∙

research

∙ 07/21/2017

Semantic Image Synthesis via Adversarial Learning

In this paper, we propose a way of synthesizing realistic images directl...

0 Hao Dong, et al. ∙

research

∙ 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...

0 Akara Supratak, et al. ∙

research

∙ 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...

0 Hao Dong, et al. ∙

research

∙ 10/15/2016

Mixed Neural Network Approach for Temporal Sleep Stage Classification

This paper proposes a practical approach to addressing limitations posed...

0 Hao Dong, et al. ∙

research

∙ 09/21/2015

Noise Robust IOA/CAS Speech Separation and Recognition System For The Third 'CHIME' Challenge

This paper presents the contribution to the third 'CHiME' speech separat...

0 Xiaofei Wang, et al. ∙

Chao Wu

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