Xiaojin Zhang

2026

doi dblp
InsQABench: Benchmarking Chinese insurance domain question answering with large language models.
Lai Wei|Jing Ding|Kai Feng|Binbin Lin|Jiarui Cai|Qiushi Wang|Yu Xie|Xiaojin Zhang|Zhongyu Wei|Wei Chen
Information Processing and Management 2026 Volume 63 Issue 5

2025

doi dblp
Grounding Foundation Models through Federated Transfer Learning: A General Framework.
Yan Kang|Tao Fan|Hanlin Gu|Xiaojin Zhang|Lixin Fan|Qiang Yang
ACM Transactions on Intelligent Systems and Technology (TIST) 2025 Volume 16 Issue 4

2024

doi dblp
A Game-theoretic Framework for Privacy-preserving Federated Learning.
Xiaojin Zhang|Lixin Fan|Siwei Wang|Wenjie Li|Kai Chen|Qiang Yang
ACM Transactions on Intelligent Systems and Technology (TIST) 2024 Volume 15 Issue 3
doi dblp
A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning.
Xiaojin Zhang|Yan Kang|Lixin Fan|Kai Chen|Qiang Yang
ACM Transactions on Intelligent Systems and Technology (TIST) 2024 Volume 15 Issue 3

2023

doi dblp
No Free Lunch Theorem for Security and Utility in Federated Learning.
Xiaojin Zhang|Hanlin Gu|Lixin Fan|Kai Chen|Qiang Yang
ACM Transactions on Intelligent Systems and Technology (TIST) 2023 Volume 14 Issue 1
doi dblp
Trading Off Privacy, Utility, and Efficiency in Federated Learning.
Xiaojin Zhang|Yan Kang|Kai Chen|Lixin Fan|Qiang Yang
ACM Transactions on Intelligent Systems and Technology (TIST) 2023 Volume 14 Issue 6