PCMiner: An Extensible System for Analysing and Detecting Protein Complexes. - Danyang Xiao; Jia Zhu 003; Yong Tang 001; Lingxiao Chen; Jingmin Wei (APWeb (2), 2016)

A novel feature selection strategy for friends recommendation. - Rui Ding 007; Jia Zhu 003; Yong Tang 001; Xueqin Lin; Danyang Xiao; Haoye Dong (CSCWD, 2016)

Implementation of Academic News Recommendation System Based on User Profile and Message Semantics. - Weiling Li; Yong Tang 001; Guohua Chen; Danyang Xiao; Chengzhe Yuan (ISICA (1), 2017)

A Semi-Supervised Network Embedding Model for Protein Complexes Detection. - Wei Zhao 033; Jia Zhu 003; Min Yang 007; Danyang Xiao; Gabriel Pui Cheong Fung; Xiaojun Chen 006 (AAAI, 2018)

GA-ADE: a novel approach based on graph algorithm to improves the detection of adverse drug events. - Xingcheng Wu; Jia Zhu 003; Danyang Xiao; Xueqin Lin; Rui Ding 007 (Multim. Tools Appl., 2018)

Entropy-Based Gradient Compression for Distributed Deep Learning. - Di Kuang; Mengqiang Chen; Danyang Xiao; Weigang Wu (HPCC/SmartCity/DSS, 2019)

Dual-Way Gradient Sparsification for Asynchronous Distributed Deep Learning. - Zijie Yan; Danyang Xiao; Mengqiang Chen; Jieying Zhou; Weigang Wu (ICPP, 2020)

PFL-MoE: Personalized Federated Learning Based on Mixture of Experts. - Binbin Guo; Yuan Mei 005; Danyang Xiao; Weigang Wu; Ye Yin; Hongli Chang (CoRR, 2020)

PFL-MoE: Personalized Federated Learning Based on Mixture of Experts. - Binbin Guo; Yuan Mei 005; Danyang Xiao; Weigang Wu (APWeb/WAIM (1), 2021)

FedVF: Personalized Federated Learning Based on Layer-wise Parameter Updates with Variable Frequency. - Yuan Mei 005; Binbin Guo; Danyang Xiao; Weigang Wu (IPCCC, 2021)

EGC: Entropy-based gradient compression for distributed deep learning. - Danyang Xiao; Yuan Mei 005; Di Kuang; Mengqiang Chen; Binbin Guo; Weigang Wu (Inf. Sci., 2021)

EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments. - Danyang Xiao; Bokai Cao; Weigang Wu (IJCNN, 2022)

Efficient DNN training based on backpropagation parallelization. - Danyang Xiao; Chengang Yang; Weigang Wu (Computing, 2022)

RTGA: Robust ternary gradients aggregation for federated learning. - Chengang Yang; Danyang Xiao; Bokai Cao; Weigang Wu (Inf. Sci., 2022)

Iteration number-based hierarchical gradient aggregation for distributed deep learning. - Danyang Xiao; Xinxin Li; Jieying Zhou; Yunfei Du; Weigang Wu (J. Supercomput., 2022)

Mixing Activations and Labels in Distributed Training for Split Learning. - Danyang Xiao; Chengang Yang; Weigang Wu (IEEE Trans. Parallel Distributed Syst., 2022)

HoME: Homogeneity-Mining-Based Embedding Towards Detecting Illicit Transactions on Bitcoin. - Zitian Chen; Guang Li 007; Danyang Xiao; Weigang Wu; Jieying Zhou (APWeb-WAIM (1), 2023)

Bi-level Sampling: Improved Clients Selection in Heterogeneous Settings for Federated Learning. - Danyang Xiao; Congcong Zhan; Jialun Li; Weigang Wu (IPCCC, 2023)

FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning. - Jun Nie; Danyang Xiao; Lei Yang 024; Weigang Wu (MSN, 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)

Privacy Leakage from Logits Attack and its Defense in Federated Distillation. - Danyang Xiao; Diying Yang; Jialun Li; Xu Chen 004; Weigang Wu (DSN, 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., 2024)

Integrated and Fungible Scheduling of Deep Learning Workloads Using Multi-Agent Reinforcement Learning. - Jialun Li; Danyang Xiao; Diying Yang; Xuan Mo; Weigang Wu (IEEE Trans. Parallel Distributed Syst., 2025)

Convergence Analysis of Asynchronous Federated Learning with Gradient Compression for Non-Convex Optimization. - Diying Yang; Yingwei Hou; Danyang Xiao; Weigang Wu (CoRR, 2025)