DBFed: Debiasing Federated Learning Framework based on Domain-Independent. - Jiale Li; Zhixin Li 003; Yibo Wang 012; Yao Li; Lei Wang 005 (BIGCOM, 2023)

AsyFed: Accelerated Federated Learning With Asynchronous Communication Mechanism. - Zhixin Li 003; Chunpu Huang; Keke Gai; Zhihui Lu 002; Jie Wu 003; Lulu Chen; Yangchuan Xu; Kim-Kwang Raymond Choo (IEEE Internet Things J., 2023)

FairFix: Enhancing Fairness of Pre-Trained Deep Neural Networks with Scarce Data Resources. - Zhixin Li 003; Rui Zhu; Zihao Wang; Jiale Li; Kaiyuan Liu; Yue Qin; Yongming Fan; Mingyu Gu; Zhihui Lu 002; Jie Wu 003; Hongfeng Chai; Xiaofeng Wang 001; et al. (IDS, 2024)

TabSAL: Synthesizing Tabular data with Small agent Assisted Language models. - Jiale Li; Run Qian; Yandan Tan; Zhixin Li 003; Luyu Chen; Sen Liu 002; Jie Wu 003; Hongfeng Chai (Knowl. Based Syst., 2024)

VAEFL: Integrating variational autoencoders for privacy preservation and performance retention in federated learning. - Zhixin Li 003; Yicun Liu; Jiale Li; Guangnan Ye; Hongfeng Chai; Zhihui Lu 002; Jie Wu 003 (Secur. Saf., 2024)

JailPO: A Novel Black-Box Jailbreak Framework via Preference Optimization Against Aligned LLMs. - Hongyi Li; Jiawei Ye; Jie Wu 003; Tianjie Yan; Chu Wang; Zhixin Li 003 (AAAI, 2025)