Wenyan Liu - RankMe

19 papers A* 2A 1B 2C 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression. AAAI Kai Yao, Zhaorui Tan, Tiandi Ye, Lichun Li, Yuan Zhao, Wenyan Liu, Wei Wang, Jianke Zhu
2025	A	`conf`	Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning. CIKM Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao
2025	J	`jnl`	Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning. CoRR Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao
2024	A*	`conf`	Integer Is Enough: When Vertical Federated Learning Meets Rounding. AAAI Pengyu Qiu, Yuwen Pu, Yongchao Liu, Wenyan Liu, Yun Yue, Xiaowei Zhu, Lichun Li, Jinbao Li, Shouling Ji
2024	J	`jnl`	POP-FL: Towards Efficient Federated Learning on Edge Using Parallel Over-Parameterization. IEEE Trans. Serv. Comput. Xingjian Lu, Haikun Zheng, Wenyan Liu, Yuhui Jiang, Hongyue Wu
2024	J	`jnl`	ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression. CoRR Kai Yao, Zhaorui Tan, Tiandi Ye, Lichun Li, Yuan Zhao, Wenyan Liu, Wei Wang, Jianke Zhu
2022	J	`jnl`	Forgetting Fast in Recommender Systems. CoRR Wenyan Liu, Juncheng Wan, Xiaoling Wang, Weinan Zhang, Dell Zhang, Hang Li
2022	J	`jnl`	Hybrid differential privacy based federated learning for Internet of Things. J. Syst. Archit. Wenyan Liu, Junhong Cheng, Xiaoling Wang, Xingjian Lu, Jianwei Yin
2022	J	`jnl`	Mitigating disparate impact on model accuracy in differentially private learning. Inf. Sci. Wenyan Liu, Xiangfeng Wang, Haikun Zheng, Bo Jin, Xiaoling Wang, Hongyuan Zha
2022	B	`conf`	Obtaining Dyadic Fairness by Optimal Transport. IEEE Big Data Moyi Yang, Junjie Sheng, Wenyan Liu, Bo Jin, Xiaoling Wang, Xiangfeng Wang
2022	J	`jnl`	Obtaining Dyadic Fairness by Optimal Transport. CoRR Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha
2021	J	`jnl`	Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns (Extended Version). CoRR Xian Zhang, Xiaobing Guo, Zixuan Zeng, Wenyan Liu, Zhongxin Guo, Yang Chen, Shuo Chen, Qiufeng Yin, Mao Yang, Lidong Zhou
2021	B	`conf`	Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns. SRDS Xian Zhang, Xiaobing Guo, Zixuan Zeng, Wenyan Liu, Zhongxin Guo, Yang Chen, Shuo Chen, Qiufeng Yin, Mao Yang
2021	J	`jnl`	Reward Shaping Based Federated Reinforcement Learning. IEEE Access Yiqiu Hu, Yun Hua, Wenyan Liu, Jun Zhu
2020	—	`conf`	Global and Personalized Query Probability for Obfuscation-Based Web Search. ICKG Hao Wang, Wenyan Liu, Xiaoling Wang, Yingjie Zhang
2020	C	`conf`	SecureRec: Privacy-Preserving Recommendation with Distributed Matrix Factorization. ADMA Wenyan Liu, Junhong Cheng, Xiangfeng Wang, Xiaoling Wang
2019	—	`conf`	Attention-Based Neural Tag Recommendation. DASFAA (2) Jiahao Yuan, Yuanyuan Jin, Wenyan Liu, Xiaoling Wang
2019	—	`conf`	UHRP: Uncertainty-Based Pruning Method for Anonymized Data Linear Regression. DASFAA Workshops Kun Liu, Wenyan Liu, Junhong Cheng, Xingjian Lu
2018	J	`jnl`	Adaptive recommendation for MOOC with collaborative filtering and time series. Comput. Appl. Eng. Educ. Yanxia Pang, Wenyan Liu, Yuanyuan Jin, Hongwei Peng, Tian Xia, Yonghe Wu