Adaptive recommendation for MOOC with collaborative filtering and time series. - Yanxia Pang; Wenyan Liu 001; Yuanyuan Jin; Hongwei Peng; Tian Xia; Yonghe Wu (Comput. Appl. Eng. Educ., 2018)

UHRP: Uncertainty-Based Pruning Method for Anonymized Data Linear Regression. - Kun Liu; Wenyan Liu 001; Junhong Cheng; Xingjian Lu (DASFAA Workshops, 2019)

Attention-Based Neural Tag Recommendation. - Jiahao Yuan; Yuanyuan Jin; Wenyan Liu 001; Xiaoling Wang 004 (DASFAA (2), 2019)

SecureRec: Privacy-Preserving Recommendation with Distributed Matrix Factorization. - Wenyan Liu 001; Junhong Cheng; Xiangfeng Wang; Xiaoling Wang 004 (ADMA, 2020)

Global and Personalized Query Probability for Obfuscation-Based Web Search. - Hao Wang; Wenyan Liu 001; Xiaoling Wang 004; Yingjie Zhang (ICKG, 2020)

Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns. - Xian Zhang 001; Xiaobing Guo; Zixuan Zeng; Wenyan Liu 001; Zhongxin Guo; Yang Chen; Shuo Chen 001; Qiufeng Yin; Mao Yang 004 (SRDS, 2021)

Reward Shaping Based Federated Reinforcement Learning. - Yiqiu Hu; Yun Hua; Wenyan Liu 001; Jun Zhu (IEEE Access, 2021)

Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns (Extended Version). - Xian Zhang 001; Xiaobing Guo; Zixuan Zeng; Wenyan Liu 001; Zhongxin Guo; Yang Chen; Shuo Chen 001; Qiufeng Yin; Mao Yang 004; Lidong Zhou (CoRR, 2021)

Obtaining Dyadic Fairness by Optimal Transport. - Moyi Yang; Junjie Sheng; Wenyan Liu 001; Bo Jin 003; Xiaoling Wang 004; Xiangfeng Wang (IEEE Big Data, 2022)

Obtaining Dyadic Fairness by Optimal Transport. - Moyi Yang; Junjie Sheng; Xiangfeng Wang; Wenyan Liu 001; Bo Jin 003; Jun Wang 006; Hongyuan Zha (CoRR, 2022)

Forgetting Fast in Recommender Systems. - Wenyan Liu 001; Juncheng Wan; Xiaoling Wang 004; Weinan Zhang 001; Dell Zhang; Hang Li (CoRR, 2022)

Mitigating disparate impact on model accuracy in differentially private learning. - Wenyan Liu 001; Xiangfeng Wang; Haikun Zheng; Bo Jin 003; Xiaoling Wang 004; Hongyuan Zha (Inf. Sci., 2022)

Hybrid differential privacy based federated learning for Internet of Things. - Wenyan Liu 001; Junhong Cheng; Xiaoling Wang 004; Xingjian Lu; Jianwei Yin (J. Syst. Archit., 2022)

POP-FL: Towards Efficient Federated Learning on Edge Using Parallel Over-Parameterization. - Xingjian Lu; Haikun Zheng; Wenyan Liu 001; Yuhui Jiang; Hongyue Wu (IEEE Trans. Serv. Comput., 2024)