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2020 – today
- 2024
[c2]Yizhou Dang
, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao:
Repeated Padding for Sequential Recommendation. RecSys 2024: 497-506- [i7]Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao:
Repeated Padding as Data Augmentation for Sequential Recommendation. CoRR abs/2403.06372 (2024) - [i6]Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation. CoRR abs/2403.08246 (2024) - [i5]Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang:
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion. CoRR abs/2405.11464 (2024) - [i4]Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang:
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation. CoRR abs/2408.00490 (2024) - [i3]Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang:
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation. CoRR abs/2408.02691 (2024) - [i2]Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation. CoRR abs/2408.10645 (2024) - [i1]Yizhou Dang, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang:
Data Augmentation for Sequential Recommendation: A Survey. CoRR abs/2409.13545 (2024) - 2023
- [j3]Jianzhe Zhao, Chenxi Huang, Wenji Wang, Rulin Xie, Rongrong Dong, Stan Matwin:
Local differentially private federated learning with homomorphic encryption. J. Supercomput. 79(17): 19365-19395 (2023) - 2022
- [j2]Jianzhe Zhao, Xing-Wei Wang, Keming Mao, Chen-Xi Huang, Yu-Kai Su, Yu-Chen Li:
Correlated Differential Privacy of Multiparty Data Release in Machine Learning. J. Comput. Sci. Technol. 37(1): 231-251 (2022) - 2021
- [j1]Jianzhe Zhao, Jie Mei, Stan Matwin, Yukai Su, Yuancheng Yang:
Risk-Aware Individual Trajectory Data Publishing With Differential Privacy. IEEE Access 9: 7421-7438 (2021)
2010 – 2019
- 2013
- [c1]Jianzhe Zhao, Ying Liu, Jingde Cheng:
Extending and Formalizing Bayesian Networks by Strong Relevant Logic. ACIIDS (1) 2013: 41-50
Coauthor Index
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