Jianzhe Zhao

According to our database, Jianzhe Zhao authored at least 27 papers between 2013 and 2025.

Collaborative distances:

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

2025

Causal Negative Sampling via Diffusion Model for Out-of-Distribution Recommendation.

Chu Zhao, Eneng Yang, Yizhou Dang, Jianzhe Zhao, Guibing Guo, Xingwei Wang

CoRR, August, 2025

Preference Logical Reasoning with Preference Operators for Explainable Recommendations.

Fei Li, Enneng Yang, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang

ACM Trans. Inf. Syst., July, 2025

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation.

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

ACM Trans. Inf. Syst., May, 2025

Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials.

Chu Zhao, Enneng Yang, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang

CoRR, April, 2025

Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences.

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

ACM Trans. Inf. Syst., March, 2025

Privacy-preserved federated clustering with Non-IID data via GANs.

Jianzhe Zhao, Wenji Wang, Jiabao Wang, Songyang Zhang, Zhelin Fan, Stan Matwin

J. Supercomput., March, 2025

Data Assetization via Resources-decoupled Federated Learning.

Jianzhe Zhao, Feida Zhu, Lingyan He, Zixin Tang, Mingce Gao, Shiyu Yang, Guibing Guo

CoRR, January, 2025

Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model.

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

Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the ACM on Web Conference 2025, 2025

Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation.

Fei Li, Qingyun Gao, Yizhou Dang, Enneng Yang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation.

Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product.

Pengxiang Lan, Haoyu Xu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models.

Haoyu Xu, Pengxiang Lan, Enneng Yang, Guibing Guo, Jianzhe Zhao, Linying Jiang, Xingwei Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation.

Shuwei Gong, Yuting Liu, Yizhou Dang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Augmenting Sequential Recommendation with Balanced Relevance and Diversity.

Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Self-supervised Hierarchical Representation for Medication Recommendation.

Yuliang Liang, Yuting Liu, Yizhou Dang, Enneng Yang, Guibing Guo, Wei Cai, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

Data Augmentation for Sequential Recommendation: A Survey.

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