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Wenyan Liu 刘文炎
Wenyan Liu 刘文炎
Ant Group
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Title
Cited by
Cited by
Year
Adaptive recommendation for MOOC with collaborative filtering and time series
Y Pang, W Liu, Y Jin, H Peng, T Xia, Y Wu
Computer Applications in Engineering Education 26 (6), 2071-2083, 2018
332018
Hybrid Differential Privacy based Federated Learning for Internet of Things
W Liu, J Cheng, X Wang, X Lu, J Yin
Journal of Systems Architecture 124, 102418, 2022
212022
Attention-based neural tag recommendation
J Yuan, Y Jin, W Liu, X Wang
International Conference on Database Systems for Advanced Applications, 350-365, 2019
172019
Reward Shaping based Federated Reinforcement Learning
Y Hu, Y Hua, W Liu, J Zhu
IEEE Access 9, 67259-67267, 2021
142021
可信机器学习的公平性综述
刘文炎, 沈楚云, 王祥丰, 金博, 卢兴见, 王晓玲, 查宏远, 何积丰
软件学报 32 (5), 1404-1426, 2021
11*2021
Forgetting Fast in Recommender Systems
W Liu, J Wan, X Wang, W Zhang, D Zhang, H Li
arXiv preprint arXiv:2208.06875, 2022
82022
Mitigating Disparate Impact on Model Accuracy in Differentially Private Learning
W Liu, X Wang, H Zheng, B Jin, X Wang, H Zha
Information Sciences 616, 108-126, 2022
5*2022
Achieve Web Search Privacy by Obfuscation
H Wang, W Liu, J Wang
International Conference on Security with Intelligent Computing and Big-data …, 2020
52020
Obtaining Dyadic Fairness by Optimal Transport
M Yang, J Sheng, X Wang, W Liu, B Jin, J Wang, H Zha
OT-SDM@AAAI, 2022
42022
Adaptive Distributed Differential Privacy with SGD
J Cheng, W Liu, X Wang, X Lu
PPAI@AAAI, 2020
32020
Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns
X Zhang, X Guo, Z Zeng, W Liu, Z Guo, Y Chen, S Chen, Q Yin, M Yang
2021 40th International Symposium on Reliable Distributed Systems (SRDS …, 2021
2*2021
SecureRec: Privacy-Preserving Recommendation with Distributed Matrix Factorization
W Liu, J Cheng, X Wang, X Wang
Advanced Data Mining and Applications, 480-495, 2020
22020
UHRP: Uncertainty-Based Pruning Method for Anonymized Data Linear Regression
K Liu, W Liu, J Cheng, X Lu
International Conference on Database Systems for Advanced Applications, 19-33, 2019
22019
Global and Personalized Query Probability for Obfuscation-Based Web Search
H Wang, W Liu, X Wang, Y Zhang
2020 IEEE International Conference on Knowledge Graph (ICKG), 259-266, 2020
12020
POP-FL: Towards Efficient Federated Learning on Edge Using Parallel Over-Parameterization
X Lu, H Zheng, W Liu*, Y Jiang, H Wu
IEEE Transactions on Services Computing 1 (1), 1-14, 2024
2024
Integer is Enough: When Vertical Federated Learning Meets Rounding
P Qiu, Y Pu, Y Liu, W Liu, Y Yue, X Zhu, L Li, J Li, S Ji
AAAI, 2024
2024
联邦学习中差分隐私与推荐系统应用研究
刘文炎
华东师范大学, 2022
2022
一种基于并行过参数化的高效联邦学习稀疏训练方法
郑海坤, 卢兴见, 刘文炎
CN Patent CN114,925,847 A, 2022
2022
训练推荐模型的方法、装置和电子设备
李航, 张德, 刘文炎, 万俊成
CN Patent CN115,329,864 A, 2022
2022
基于隐私保护的推荐方法
刘文炎, 王晓玲
CN Patent CN111,563,789 A, 2020
2020
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