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Lixin Liu

Renmin University of China

Room B906

Xianjin Building

Beijing, 100872

China

  • Renmin University of China

SCHOLARLY PAPERS

3

DOWNLOADS

143

TOTAL CITATIONS

2

Scholarly Papers (3)

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1.

EA: Elastic Multi-Level Anchoring-Based Generative Approach for Federated Class-Incremental Learning

Number of pages: 12 Posted: 29 Nov 2025
wenxu wu, Gang Li, Lixin Liu, Jingyu Wang, Tangpeng Dan, Yun Hao, Xin Chang and Jianfeng Zhao
Inner Mongolia University of Science and Technology, Inner Mongolia University of Science and Technology, Renmin University of China, Inner Mongolia University of Science and Technology, Wuhan University of Technology, Beijing University of Posts and Telecommunications, Inner Mongolia University of Science and Technology and Inner Mongolia University of Science and Technology
Downloads 61 (1,000,027)

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Federated learningClass-Incremental LearningData-Free Knowledge TransferElastic Multi-Level Anchoring

2.

(Dp)2fl:Dynamic Personalized Differential Privacy Federated Learning

Number of pages: 15 Posted: 01 Nov 2024
Cuiyun Shi, jingyu wang, Lixin Liu, Xin Chang and Yini Pu
Inner Mongolia University of Science and Technology, Inner Mongolia University of Science and Technology, Renmin University of China, Inner Mongolia University of Science and Technology and Inner Mongolia University of Science and Technology
Downloads 60 (1,020,567)

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Federated Learning, Entropy, Data Distribution, Personalized Differential Privacy, Dynamic Privacy Budget

3.

Enhancing Transferability of Adversarial Examples by Successively Attacking Multiple Models

Number of pages: 10 Posted: 14 Jul 2022
Xiaolin Zhang, Wenwen Zhang, Lixin Liu, Yongping Wang, Lu Gao and Shuai Zhang
Inner Mongolia University of Science and Technology, Inner Mongolia University of Science and Technology, Renmin University of China, Inner Mongolia University of Science and Technology, Inner Mongolia University of Science and Technology and Inner Mongolia University of Science and Technology
Downloads 22 (1,448,301)
Citation 2

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Adversarial example, Deep neural networks, Multiple models, Transferability