Wenyan Liu

According to our database, Wenyan Liu authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning.

Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression.

Kai Yao, Zhaorui Tan, Tiandi Ye, Lichun Li, Yuan Zhao, Wenyan Liu, Wei Wang, Jianke Zhu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

POP-FL: Towards Efficient Federated Learning on Edge Using Parallel Over-Parameterization.

Xingjian Lu, Haikun Zheng, Wenyan Liu, Yuhui Jiang, Hongyue Wu

IEEE Trans. Serv. Comput., 2024

Integer Is Enough: When Vertical Federated Learning Meets Rounding.

Pengyu Qiu, Yuwen Pu, Yongchao Liu, Wenyan Liu, Yun Yue, Xiaowei Zhu, Lichun Li, Jinbao Li, Shouling Ji

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Hybrid differential privacy based federated learning for Internet of Things.

Wenyan Liu, Junhong Cheng, Xiaoling Wang, Xingjian Lu, Jianwei Yin

J. Syst. Archit., 2022

Mitigating disparate impact on model accuracy in differentially private learning.

Wenyan Liu, Xiangfeng Wang, Haikun Zheng, Bo Jin, Xiaoling Wang, Hongyuan Zha

Inf. Sci., 2022

Forgetting Fast in Recommender Systems.

Wenyan Liu, Juncheng Wan, Xiaoling Wang, Weinan Zhang, Dell Zhang, Hang Li

CoRR, 2022

Obtaining Dyadic Fairness by Optimal Transport.

Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha

CoRR, 2022

Obtaining Dyadic Fairness by Optimal Transport.

Moyi Yang, Junjie Sheng, Wenyan Liu, Bo Jin, Xiaoling Wang, Xiangfeng Wang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns (Extended Version).

Xian Zhang, Xiaobing Guo, Zixuan Zeng, Wenyan Liu, Zhongxin Guo, Yang Chen, Shuo Chen, Qiufeng Yin, Mao Yang, Lidong Zhou

CoRR, 2021

Reward Shaping Based Federated Reinforcement Learning.

Yiqiu Hu, Yun Hua, Wenyan Liu, Jun Zhu

IEEE Access, 2021

Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns.

Xian Zhang, Xiaobing Guo, Zixuan Zeng, Wenyan Liu, Zhongxin Guo, Yang Chen, Shuo Chen, Qiufeng Yin, Mao Yang

Proceedings of the 40th International Symposium on Reliable Distributed Systems, 2021

2020

Global and Personalized Query Probability for Obfuscation-Based Web Search.

Hao Wang, Wenyan Liu, Xiaoling Wang, Yingjie Zhang

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

SecureRec: Privacy-Preserving Recommendation with Distributed Matrix Factorization.

Wenyan Liu, Junhong Cheng, Xiangfeng Wang, Xiaoling Wang

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

2019

Attention-Based Neural Tag Recommendation.

Jiahao Yuan, Yuanyuan Jin, Wenyan Liu, Xiaoling Wang

Proceedings of the Database Systems for Advanced Applications, 2019

UHRP: Uncertainty-Based Pruning Method for Anonymized Data Linear Regression.

Kun Liu, Wenyan Liu, Junhong Cheng, Xingjian Lu

Proceedings of the Database Systems for Advanced Applications, 2019

2018

Adaptive recommendation for MOOC with collaborative filtering and time series.

Yanxia Pang, Wenyan Liu, Yuanyuan Jin, Hongwei Peng, Tian Xia, Yonghe Wu

Comput. Appl. Eng. Educ., 2018