The Efficient and Complete Frequent Itemsets Mining of Association Rules. - Xu-dong Song; Kun Zhai; Xiao-bing Liu (FSKD (1), 2007)

An improved association rules mining method. - Xiao-bing Liu; Kun Zhai; Witold Pedrycz (Expert Syst. Appl., 2012)

Creating an integrated marketing information system. - Jian-sen Liu; Kun Zhai; Bin Liu (ICSAI, 2014)

Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data. - Kun Zhai; Qiang Ren; Junli Wang 001; Chungang Yan (CoRR, 2021)

Potential Green Gains From the Integration of Economies: Evidence From Mainland, Hong Kong, Macao, and Taiwan in China. - Zhiyang Shen; Yiqiao Zhou; Kaixuan Bai; Kun Zhai (J. Glob. Inf. Manag., 2022)

The Dog Walking Theory: Rethinking Convergence in Federated Learning. - Kun Zhai; Yifeng Gao; Xingjun Ma; Difan Zou; Guangnan Ye; Yu-Gang Jiang 001 (CoRR, 2024)

FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning. - Liuzhi Zhou; Yu He; Kun Zhai; Xiang Liu; Sen Liu; Xingjun Ma; Guangnan Ye; Yu-Gang Jiang 001; Hongfeng Chai (CoRR, 2024)

A Tripartite Evolutionary Game Model for Chinese-Style Education Investment in ASEAN Under Local Government Policy. - Zheqi Zhu; Kun Zhai (Int. J. Gaming Comput. Mediat. Simulations, 2024)

FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning. - Liuzhi Zhou; Yu He; Kun Zhai; Xiang Liu; Sen Liu; Xingjun Ma; Guangnan Ye; Hongfeng Chai (ICASSP, 2025)