Improved evolutionary algorithm and its application in PID controller optimization. - Dewen Qiao; Nankun Mu; Xiaofeng Liao 001; Junqing Le; Fan Yang 064 (Sci. China Inf. Sci., 2020)

HeteFL: Network-Aware Federated Learning Optimization in Heterogeneous MEC-Enabled Internet of Things. - Jing He 011; Songtao Guo; Dewen Qiao; Lin Yi (IEEE Internet Things J., 2022)

Adaptive Federated Learning for Non-Convex Optimization Problems in Edge Computing Environment. - Dewen Qiao; Guiyan Liu; Songtao Guo; Jing He 011 (IEEE Trans. Netw. Sci. Eng., 2022)

Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing. - Dewen Qiao; Songtao Guo; Defang Liu; Saiqin Long; Pengzhan Zhou; Zhetao Li (IEEE Trans. Parallel Distributed Syst., 2022)

FedSG: Subgraph Federated Learning on Multiple Non-IID Graphs. - Yingcheng Wang; Songtao Guo; Dewen Qiao (MSN, 2023)

RCFL-GAN: Resource-Constrained Federated Learning with Generative Adversarial Networks. - Yuyan Quan; Songtao Guo; Dewen Qiao (CSCWD, 2024)

Reliability-Aware SFC Scheduling in Container Environment via Priority-Based Node Selection. - Longzhi Dai; Songtao Guo; Guiyan Liu; Dewen Qiao (MSN, 2024)

HfedPES: Hierarchical Personalized Federated Learning with Edge Selection. - Kunhong He; Pengzhan Zhou; Yijun Zhai; Yuepeng He; Lin Tan 011; Dewen Qiao; Songtao Guo (MSN, 2024)

Resources-Efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT. - Dewen Qiao; Mingyan Li; Songtao Guo; Jun Zhao 007; Bin Xiao 002 (IEEE Trans. Netw. Sci. Eng., 2024)

Afl-gan: adaptive federated learning for generative adversarial network with resource constraints. - Yuyan Quan; Songtao Guo; Dewen Qiao; Mingyan Li (CCF Trans. Pervasive Comput. Interact., 2024)

Parameters optimization and precision enhancement of Takagi-Sugeno fuzzy neural network. - Dewen Qiao; Pengzhan Zhou; Mingyan Li; Songtao Guo (Soft Comput., 2024)

FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs. - Yingcheng Wang; Songtao Guo; Dewen Qiao; Guiyan Liu; Mingyan Li (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

EESyn-CTP: Edge-End Collaboration for Patient-Friendly CTP Image Synthesis. - Yihao Wang; Yu Zhang; Dewen Qiao; Songtao Guo; Yu Liu 021; Chenhao Zhao; Tao Gu; Qiaoqiao Ding; Xiaoqun Zhang; Xuetao Chen (IEEE Internet Things J., 2025)

ASMAFL: Adaptive Staleness-Aware Momentum Asynchronous Federated Learning in Edge Computing. - Dewen Qiao; Songtao Guo; Jun Zhao 007; Junqing Le; Pengzhan Zhou; Mingyan Li; Xuetao Chen (IEEE Trans. Mob. Comput., 2025)

EMAFL: Evolutionary Momentum Auxiliary Adaptive Accelerating Federated Learning. - Dewen Qiao; Songtao Guo; Xuetao Chen; Pengzhan Zhou; Di Zhang 011; Yu Zhang (IEEE Internet Things J., 2025)

Tri-AFLLM: Resource-Efficient Adaptive Asynchronous Accelerated Federated LLMs. - Dewen Qiao; Xiang Ao; Yu Liu 021; Xuetao Chen; Fuyuan Song; Zheng Qin 001; Wenqiang Jin (IEEE Trans. Circuits Syst. Video Technol., 2025)

AMFL: Resource-Efficient Adaptive Metaverse-Based Federated Learning for the Human-Centric Augmented Reality Applications. - Dewen Qiao; Liangxin Qian; Songtao Guo; Jun Zhao 007; Pengzhan Zhou (IEEE Trans. Neural Networks Learn. Syst., 2025)

EECF: An edge-end collaborative framework with optimized lightweight model. - Dewen Qiao; Zhenyan Wang; Jiamiao Liu; Xuetao Chen; Di Zhang 011; Maolan Zhang (Expert Syst. Appl., 2026)