Yuanqin He

17 papers A* 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning.
IEEE Trans. Big Data
Yuanqin He, Yan Kang, Xinyuan Zhao, Jiahuan Luo, Lixin Fan, Yuxing Han, Qiang Yang
2025 — conf
Augmenting Compliance-Guaranteed Customer Service Chatbots: Context-Aware Knowledge Expansion with Large Language Models.
EMNLP (Industry Track)
Mengze Hong, Chen Jason Zhang, Di Jiang, Yuanqin He
2024 J jnl
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models.
J. Comput. Sci. Technol.
Yuanfeng Song, Yuanqin He, Xuefang Zhao, Hanlin Gu, Di Jiang, Haijun Yang, Lixin Fan
2024 J jnl
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning.
IEEE Trans. Big Data
Tianyuan Zou, Yang Liu, Yan Kang, Wenhan Liu, Yuanqin He, Zhihao Yi, Qiang Yang, Ya-Qin Zhang
2024 J jnl
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom.
CoRR
Yuanqin He, Yan Kang, Lixin Fan, Qiang Yang
2024 J jnl
Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework.
ACM Trans. Intell. Syst. Technol.
Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang
2024 J jnl
Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability.
IEEE Trans. Big Data
Yan Kang, Yuanqin He, Jiahuan Luo, Tao Fan, Yang Liu, Qiang Yang
2024 J jnl
Vertical Federated Learning: Concepts, Advances, and Challenges.
IEEE Trans. Knowl. Data Eng.
Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang
2023 J jnl
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models.
CoRR
Yuanfeng Song, Yuanqin He, Xuefang Zhao, Hanlin Gu, Di Jiang, Haijun Yang, Lixin Fan, Qiang Yang
2023 J jnl
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning.
CoRR
Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang
2022 J jnl
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning.
CoRR
Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang
2022 J jnl
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning.
CoRR
Yuanqin He, Yan Kang, Jiahuan Luo, Lixin Fan, Qiang Yang
2022 A* conf
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning.
IJCAI
Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang
2022 J jnl
Vertical Federated Learning.
CoRR
Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang
2021 J jnl
Defending Label Inference and Backdoor Attacks in Vertical Federated Learning.
CoRR
Yang Liu, Zhihao Yi, Yan Kang, Yuanqin He, Wenhan Liu, Tianyuan Zou, Qiang Yang
2021 J jnl
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning.
CoRR
Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Qiang Yang
2021 J jnl
Self-supervised Cross-silo Federated Neural Architecture Search.
CoRR
Xinle Liang, Yang Liu, Jiahuan Luo, Yuanqin He, Tianjian Chen, Qiang Yang