Danyang Xiao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Selection Strategy

Cauchy Mutation

Online Training

Top Venues

IEEE Trans. Parallel Distributed Syst.

Multim. Tools Appl.

Publications

Jialun Li, Jieqian Yao, Danyang Xiao, Diying Yang, Weigang Wu
EvoGWP: Predicting Long-Term Changes in Cloud Workloads Using Deep Graph-Evolution Learning. IEEE Trans. Parallel Distributed Syst. 35 (3) (2024)
Jialun Li, Danyang Xiao, Jieqian Yao, Yujie Long, Weigang Wu
Learning Scheduling Policies for Co-Located Workloads in Cloud Datacenters. IEEE Trans. Cloud Comput. 11 (4) (2023)
Zitian Chen, Guang Li, Danyang Xiao, Weigang Wu, Jieying Zhou
HoME: Homogeneity-Mining-Based Embedding Towards Detecting Illicit Transactions on Bitcoin. APWeb-WAIM (1) (2023)
Jun Nie, Danyang Xiao, Lei Yang, Weigang Wu
FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning. MSN (2023)
Jun Nie, Danyang Xiao, Lei Yang, Weigang Wu
FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning. CoRR (2023)
Danyang Xiao, Bokai Cao, Weigang Wu
EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments. IJCNN (2022)
Danyang Xiao, Chengang Yang, Weigang Wu
Mixing Activations and Labels in Distributed Training for Split Learning. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Danyang Xiao, Chengang Yang, Weigang Wu
Efficient DNN training based on backpropagation parallelization. Computing 104 (11) (2022)
Danyang Xiao, Xinxin Li, Jieying Zhou, Yunfei Du, Weigang Wu
Iteration number-based hierarchical gradient aggregation for distributed deep learning. J. Supercomput. 78 (4) (2022)
Chengang Yang, Danyang Xiao, Bokai Cao, Weigang Wu
RTGA: Robust ternary gradients aggregation for federated learning. Inf. Sci. 616 (2022)
Yuan Mei, Binbin Guo, Danyang Xiao, Weigang Wu
FedVF: Personalized Federated Learning Based on Layer-wise Parameter Updates with Variable Frequency. IPCCC (2021)
Binbin Guo, Yuan Mei, Danyang Xiao, Weigang Wu
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts. APWeb/WAIM (1) (2021)
Danyang Xiao, Yuan Mei, Di Kuang, Mengqiang Chen, Binbin Guo, Weigang Wu
EGC: Entropy-based gradient compression for distributed deep learning. Inf. Sci. 548 (2021)
Binbin Guo, Yuan Mei, Danyang Xiao, Weigang Wu, Ye Yin, Hongli Chang
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts. CoRR (2020)
Zijie Yan, Danyang Xiao, Mengqiang Chen, Jieying Zhou, Weigang Wu
Dual-Way Gradient Sparsification for Asynchronous Distributed Deep Learning. ICPP (2020)
Di Kuang, Mengqiang Chen, Danyang Xiao, Weigang Wu
Entropy-Based Gradient Compression for Distributed Deep Learning. HPCC/SmartCity/DSS (2019)
Wei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen
A Semi-Supervised Network Embedding Model for Protein Complexes Detection. AAAI (2018)
Xingcheng Wu, Jia Zhu, Danyang Xiao, Xueqin Lin, Rui Ding
GA-ADE: a novel approach based on graph algorithm to improves the detection of adverse drug events. Multim. Tools Appl. 77 (3) (2018)
Weiling Li, Yong Tang, Guohua Chen, Danyang Xiao, Chengzhe Yuan
Implementation of Academic News Recommendation System Based on User Profile and Message Semantics. ISICA (1) (2017)
Rui Ding, Jia Zhu, Yong Tang, Xueqin Lin, Danyang Xiao, Haoye Dong
A novel feature selection strategy for friends recommendation. CSCWD (2016)
Danyang Xiao, Jia Zhu, Yong Tang, Lingxiao Chen, Jingmin Wei
PCMiner: An Extensible System for Analysing and Detecting Protein Complexes. APWeb (2) (2016)