Dongqi Yan

According to our database, Dongqi Yan authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

Beyond the dichotomy of use and Not-Use: Forms and motivations of user non-use behaviors toward AI customer service.

Junchen Yao, Dongqi Yan, Hongzhong Zhang

Comput. Hum. Behav., 2026

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., August, 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

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

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

2023

Heterogeneous graph neural network with semantic-aware differential privacy guarantees.

Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li

Knowl. Inf. Syst., October, 2023

A unified flow scheduling method for time sensitive networks.

Mingwu Yao, Jiamu Liu, Jing Du, Dongqi Yan, Yanxi Zhang, Wei Liu, Anthony Man-Cho So

Comput. Networks, September, 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, May, 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

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection.

Yangyou Ning, Jinyan Wang, De Li, Dongqi Yan, Xianxian Li

Proceedings of the Artificial Neural Networks and Machine Learning, 2023