Danyang Xiao

According to our database, Danyang Xiao authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EvoGWP: Predicting Long-Term Changes in Cloud Workloads Using Deep Graph-Evolution Learning.

Jialun Li, Jieqian Yao, Danyang Xiao, Diying Yang, Weigang Wu

IEEE Trans. Parallel Distributed Syst., March, 2024

2023

Learning Scheduling Policies for Co-Located Workloads in Cloud Datacenters.

Jialun Li, Danyang Xiao, Jieqian Yao, Yujie Long, Weigang Wu

IEEE Trans. Cloud Comput., 2023

FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning.

Jun Nie, Danyang Xiao, Lei Yang, Weigang Wu

CoRR, 2023

2022

Mixing Activations and Labels in Distributed Training for Split Learning.

Danyang Xiao, Chengang Yang, Weigang Wu

IEEE Trans. Parallel Distributed Syst., 2022

Iteration number-based hierarchical gradient aggregation for distributed deep learning.

Danyang Xiao, Xinxin Li, Jieying Zhou, Yunfei Du, Weigang Wu

J. Supercomput., 2022

RTGA: Robust ternary gradients aggregation for federated learning.

Chengang Yang, Danyang Xiao, Bokai Cao, Weigang Wu

Inf. Sci., 2022

Efficient DNN training based on backpropagation parallelization.

Danyang Xiao, Chengang Yang, Weigang Wu

Computing, 2022

EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments.

Danyang Xiao, Bokai Cao, Weigang Wu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

EGC: Entropy-based gradient compression for distributed deep learning.

Danyang Xiao, Yuan Mei, Di Kuang, Mengqiang Chen, Binbin Guo, Weigang Wu

Inf. Sci., 2021

FedVF: Personalized Federated Learning Based on Layer-wise Parameter Updates with Variable Frequency.

Yuan Mei, Binbin Guo, Danyang Xiao, Weigang Wu

Proceedings of the IEEE International Performance, 2021

PFL-MoE: Personalized Federated Learning Based on Mixture of Experts.

Binbin Guo, Yuan Mei, Danyang Xiao, Weigang Wu

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020

PFL-MoE: Personalized Federated Learning Based on Mixture of Experts.

Binbin Guo, Yuan Mei, Danyang Xiao, Weigang Wu, Ye Yin, Hongli Chang

CoRR, 2020

Dual-Way Gradient Sparsification for Asynchronous Distributed Deep Learning.

Zijie Yan, Danyang Xiao, Mengqiang Chen, Jieying Zhou, Weigang Wu

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

2019

Entropy-Based Gradient Compression for Distributed Deep Learning.

Di Kuang, Mengqiang Chen, Danyang Xiao, Weigang Wu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

GA-ADE: a novel approach based on graph algorithm to improves the detection of adverse drug events.

Xingcheng Wu, Jia Zhu, Danyang Xiao, Xueqin Lin, Rui Ding

Multim. Tools Appl., 2018

A Semi-Supervised Network Embedding Model for Protein Complexes Detection.

Wei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Implementation of Academic News Recommendation System Based on User Profile and Message Semantics.

Weiling Li, Yong Tang, Guohua Chen, Danyang Xiao, Chengzhe Yuan

Proceedings of the Computational Intelligence and Intelligent Systems, 2017

2016

A novel feature selection strategy for friends recommendation.

Rui Ding, Jia Zhu, Yong Tang, Xueqin Lin, Danyang Xiao, Haoye Dong

Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

PCMiner: An Extensible System for Analysing and Detecting Protein Complexes.

Danyang Xiao, Jia Zhu, Yong Tang, Lingxiao Chen, Jingmin Wei

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016