Mixture-Model-Based Graph for Privacy-Preserving Semi-Supervised Learning. - Zhi Li 045; Liqun Yang; Zhoujun Li 001 (IEEE Access, 2020)

Detecting bi-level false data injection attack based on time series analysis method in smart grid. - Liqun Yang; Xiaoming Zhang 001; Zhi Li 045; Zhoujun Li 001; Yueying He (Comput. Secur., 2020)

Mixture distribution modeling for scalable graph-based semi-supervised learning. - Zhi Li 045; Chaozhuo Li; Liqun Yang; Philip S. Yu; Zhoujun Li 001 (Knowl. Based Syst., 2020)

Inductive and Effective Privacy-preserving Semi-supervised Learning with Harmonic Anchor Mixture. - Zhi Li 045; Zhoujun Li 001 (ISEEIE, 2021)

An improved ELM-based and data preprocessing integrated approach for phishing detection considering comprehensive features. - Liqun Yang; Jiawei Zhang 001; Xiaozhe Wang; Zhi Li 045; Zhoujun Li 001; Yueying He (Expert Syst. Appl., 2021)

PPMGS: An efficient and effective solution for distributed privacy-preserving semi-supervised learning. - Zhi Li 045; Chaozhuo Li; Zhoujun Li 001; Jian Weng 001; Feiran Huang; Zhibo Zhou (Inf. Sci., 2024)

IvyRedaction: Enabling Atomic, Consistent and Accountable Cross-Chain Rewriting. - Shun Hu; Ming Li 049; Jiasi Weng 001; Jia-Nan Liu; Jian Weng 001; Zhi Li 045 (IEEE Trans. Dependable Secur. Comput., 2024)

Federated graph transformer with mixture attentions for secure graph knowledge fusions. - Zhi Li 045; Chaozhuo Li; Ming Li 049; Liqun Yang; Jian Weng 001 (Inf. Fusion, 2025)

LapGLP: Approximating Infinite-Layer Graph Convolutions With Laplacian for Federated Recommendation. - Zhi Li 045; Chaozhuo Li; Feiran Huang; Xi Zhang 008; Jian Weng 001; Philip S. Yu (IEEE Trans. Inf. Forensics Secur., 2025)