Jianzhe Zhao

48 papers A* 11A 1Journal 30Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation.
CoRR
Chu Zhao, Enneng Yang, Jianzhe Zhao, Guibing Guo
2026 J jnl
ECHO: Entropy-Confidence Hybrid Optimization for Test-Time Reinforcement Learning.
CoRR
Chu Zhao, Enneng Yang, Yuting Liu, Jianzhe Zhao, Guibing Guo
2026 A* conf
Interest-Shift-Aware Logical Reasoning for Efficient Long-Sequence Recommendation.
AAAI
Fei Li, Qingyun Gao, Enneng Yang, Jianzhe Zhao, Guibing Guo
2026 A* conf
Lifelong Sequential Recommendation with Adaptive Subsequence Compression and Contextual Fusion.
WWW
Fei Li, Xiaoming Liu, Jiayi Luo, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2026 J jnl
Multimodal adaptive fusion for enhanced long-term action anticipation.
Mach. Vis. Appl.
Yaoyao Jing, Yilong Xiao, Haoming Fang, Keming Mao, Jianzhe Zhao, Xinlu Xiao
2026 A* conf
Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation.
WWW
Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2026 J jnl
Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation.
CoRR
Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2026 J jnl
Text as a Universal Interface for Transferable Personalization.
CoRR
Yuting Liu, Jian Guan, Jia-Nan Li, Wei Wu, Jiang-Ming Yang, Jianzhe Zhao, Guibing Guo
2025 — conf
Adaptive Personalized Federated Recommendation with Global Knowledge Distillation.
DASFAA (5)
Jianzhe Zhao, Lingyan He, Fanzhe Lin, Jiaqi Ding, Xiaxue Zhu, Guibing Guo
2025 J jnl
Answer Semantics-enhanced Medical Visual Question Answering.
Mach. Intell. Res.
Yuliang Liang, Enneng Yang, Guibing Guo, Wei Cai, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2025 A* conf
Augmenting Sequential Recommendation with Balanced Relevance and Diversity.
AAAI
Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials.
CoRR
Chu Zhao, Enneng Yang, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 J jnl
Causal Negative Sampling via Diffusion Model for Out-of-Distribution Recommendation.
CoRR
Chu Zhao, Enneng Yang, Yizhou Dang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 A* conf
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation.
AAAI
Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Data Assetization via Resources-decoupled Federated Learning.
CoRR
Jianzhe Zhao, Feida Zhu, Lingyan He, Zixin Tang, Mingce Gao, Shiyu Yang, Guibing Guo
2025 A* conf
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation.
SIGIR
Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation.
CoRR
Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xing-wei Wang
2025 A* conf
Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation.
SIGIR
Fei Li, Qingyun Gao, Yizhou Dang, Enneng Yang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 A* conf
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model.
WWW
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 J jnl
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model.
CoRR
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 A* conf
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion.
AAAI
Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences.
ACM Trans. Inf. Syst.
Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2025 — conf
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product.
NAACL (Long Papers)
Pengxiang Lan, Haoyu Xu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product.
CoRR
Pengxiang Lan, Haoyu Xu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xing-wei Wang
2025 J jnl
FedLoRA-Optimizer: Federated LoRA Fine-Tuning with Global and Local Optimization in Heterogeneous Data Scenarios.
CoRR
Jianzhe Zhao, Hailin Zhu, Yu Zhang, Ziqi Chen, Guibing Guo
2025 A* conf
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation.
WWW
Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 — conf
Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models.
ACL (1)
Haoyu Xu, Pengxiang Lan, Enneng Yang, Guibing Guo, Jianzhe Zhao, Linying Jiang, Xingwei Wang
2025 A* conf
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation.
AAAI
Shuwei Gong, Yuting Liu, Yizhou Dang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Preference Logical Reasoning with Preference Operators for Explainable Recommendations.
ACM Trans. Inf. Syst.
Fei Li, Enneng Yang, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Privacy-preserved federated clustering with Non-IID data via GANs.
J. Supercomput.
Jianzhe Zhao, Wenji Wang, Jiabao Wang, Songyang Zhang, Zhelin Fan, Stan Matwin
2025 — conf
Self-supervised Hierarchical Representation for Medication Recommendation.
DASFAA (5)
Yuliang Liang, Yuting Liu, Yizhou Dang, Enneng Yang, Guibing Guo, Wei Cai, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation.
ACM Trans. Inf. Syst.
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 — conf
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation.
DASFAA (5)
Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Truthful reverse auction-based incentive mechanisms for task offloading in mobile edge computing.
Comput. Networks
Xueyi Wang, Yi Ma, Zhihao Qin, Jian Xu, Jianzhe Zhao, Rongfei Zeng, Yang Song, Qiang He
2024 J jnl
Augmenting Sequential Recommendation with Balanced Relevance and Diversity.
CoRR
Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2024 J jnl
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation.
CoRR
Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2024 J jnl
Data Augmentation for Sequential Recommendation: A Survey.
CoRR
Yizhou Dang, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2024 J jnl
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion.
CoRR
Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2024 J jnl
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation.
CoRR
Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2024 J jnl
Repeated Padding as Data Augmentation for Sequential Recommendation.
CoRR
Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao
2024 A conf
Repeated Padding for Sequential Recommendation.
RecSys
Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao
2024 J jnl
Self-supervised Hierarchical Representation for Medication Recommendation.
CoRR
Yuliang Liang, Yuting Liu, Yizhou Dang, Enneng Yang, Guibing Guo, Wei Cai, Jianzhe Zhao, Xingwei Wang
2024 J jnl
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation.
CoRR
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2024 J jnl
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation.
CoRR
Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2023 J jnl
Local differentially private federated learning with homomorphic encryption.
J. Supercomput.
Jianzhe Zhao, Chenxi Huang, Wenji Wang, Rulin Xie, Rongrong Dong, Stan Matwin
2022 J jnl
Correlated Differential Privacy of Multiparty Data Release in Machine Learning.
J. Comput. Sci. Technol.
Jianzhe Zhao, Xing-wei Wang, Keming Mao, Chen-Xi Huang, Yu-Kai Su, Yu-Chen Li
2021 J jnl
Risk-Aware Individual Trajectory Data Publishing With Differential Privacy.
IEEE Access
Jianzhe Zhao, Jie Mei, Stan Matwin, Yukai Su, Yuancheng Yang
2013 — conf
Extending and Formalizing Bayesian Networks by Strong Relevant Logic.
ACIIDS (1)
Jianzhe Zhao, Ying Liu, Jingde Cheng