A Sponsor Incentive Attack Scheme for Feeder Automation Systems. - Qiangsheng Dai; Libao Shi; Yixin Ni (IEEE Trans. Smart Grid, 2020)

Wi-Fi device identification based on multi-domain physical layer fingerprint. - Jinghui Zhang; Zhengjia Xu; Junhe Li; Qiangsheng Dai; Zhen Ling 001; Ming Yang 001 (Comput. Commun., 2023)

Noise-aware Local Model Training Mechanism for Federated Learning. - Jinghui Zhang; Dingyang Lv; Qiangsheng Dai; Fa Xin; Fang Dong 001 (ACM Trans. Intell. Syst. Technol., 2023)

PipePar: Enabling fast DNN pipeline parallel training in heterogeneous GPU clusters. - Jinghui Zhang; Geng Niu; Qiangsheng Dai; Haorui Li; Zhihua Wu; Fang Dong 001; Zhiang Wu 001 (Neurocomputing, 2023)

Simulation and Optimization of Power System Operation for Renewable Energy and Advanced Energy Storage Technology Based on Comprehensive Data of New Energy Storage. - Xuesong Huo; Yunlong Du; Qiangsheng Dai; Shulei Pan; Yang Zhang; Guobing Guan; Xuefeng Mei (CIPAE, 2024)

FLRF: Federated recommendation optimization for long-tail data distribution. - Zaigang Gong; Siyu Chen; Qiangsheng Dai; Ying Feng; Jinghui Zhang (Array, 2024)

SCoAMPS: Semi-Supervised Graph Contrastive Learning Based on Associative Memory Network and Pseudo-Label Similarity. - Zaigang Gong; Siyu Chen; Qiangsheng Dai; Ying Feng; Jiawei Wang; Jinghui Zhang (Big Data Min. Anal., 2025)

RLFreeze: Accelerating Distributed Freezing Training with Reinforcement Learning. - Zaigang Gong; Siyu Chen; Qiangsheng Dai; Ying Feng; Geng Niu; Jinghui Zhang (Data Intell., 2025)