GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection. - Yangyou Ning; Jinyan Wang; De Li; Dongqi Yan; Xianxian Li (ICANN (3), 2023)

LTNI-FGML: Federated Graph Machine Learning on Long-Tailed and Non-IID Data via Logit Calibration. - Dongqi Yan; Jinyan Wang; Qingyi Huang; Juanjuan Huang; Xianxian Li (ICANN (4), 2023)

Distributed synchronization based on model-free reinforcement learning in wireless ad hoc networks. - Hang Zhang; Dongqi Yan; Yanxi Zhang; Jiamu Liu; Mingwu Yao (Comput. Networks, 2023)

A unified flow scheduling method for time sensitive networks. - Mingwu Yao; Jiamu Liu; Jing Du; Dongqi Yan; Yanxi Zhang; Wei Liu 012; Anthony Man-Cho So (Comput. Networks, 2023)

Heterogeneous graph neural network with semantic-aware differential privacy guarantees. - Yuecen Wei; Xingcheng Fu; Dongqi Yan; Qingyun Sun; Hao Peng 001; Jia Wu 001; Jinyan Wang; Xianxian Li (Knowl. Inf. Syst., 2023)

FedGAC: Graph Federated Learning with Gradients Aggregation Calibration for Non-IID and Long-Tailed Data. - Jie Li; Jinyan Wang; Rongbin Deng; Dongqi Yan; Qiyu Li (ISPA, 2024)

Statistical AoI Guarantee Optimization for Supporting xURLLC in ISAC-enabled V2I Networks. - Yanxi Zhang; Mingwu Yao; Qinghai Yang; Dongqi Yan; Xu Zhang; Xu Bao; Muyu Mei (CoRR, 2024)

Age-of-Event Aware: Sampling Period Optimization in a Three-Stage Wireless Cyber-Physical System With Diverse Parallelisms. - Yanxi Zhang; Muyu Mei; Dongqi Yan; Xu Zhang; Qinghai Yang; Mingwu Yao (IEEE Trans. Parallel Distributed Syst., 2024)