Jianzhe Zhao

According to our database, Jianzhe Zhao authored at least 12 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Data Augmentation for Sequential Recommendation: A Survey.

Yizhou Dang, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation.

Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation.

Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang

CoRR, 2024

Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation.

Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang

CoRR, 2024

Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion.

Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation.

Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

Repeated Padding as Data Augmentation for Sequential Recommendation.

Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao

CoRR, 2024

Repeated Padding for Sequential Recommendation.

Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Local differentially private federated learning with homomorphic encryption.

Jianzhe Zhao, Chenxi Huang, Wenji Wang, Rulin Xie, Rongrong Dong, Stan Matwin

J. Supercomput., November, 2023

2022

Correlated Differential Privacy of Multiparty Data Release in Machine Learning.

Jianzhe Zhao, Xing-Wei Wang, Keming Mao, Chen-Xi Huang, Yu-Kai Su, Yu-Chen Li

J. Comput. Sci. Technol., 2022

2021

Risk-Aware Individual Trajectory Data Publishing With Differential Privacy.

Jianzhe Zhao, Jie Mei, Stan Matwin, Yukai Su, Yuancheng Yang

IEEE Access, 2021

2013

Extending and Formalizing Bayesian Networks by Strong Relevant Logic.

Jianzhe Zhao, Ying Liu, Jingde Cheng

Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013