Kai Zhu

16 papers A* 1B 3Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
JCLRec: Joint diffusion model and dual contrastive learning for sequential recommendation.
Knowl. Based Syst.
Kai Zhu, Jing Li, Yue He, Mingfeng Wang, Jiaheng Yu, Jun Chang, Jun Wan
2026 J jnl
Multi-modal category-aware gating for oriented object detection with single-category experts.
Neurocomputing
Beihang Song, Hongquan Sun, Tong Liu, Kai Zhu, Jun Wan
2026 J jnl
Multi-representation space recommendation with graph contrastive learning.
Expert Syst. Appl.
Xiaoda Li, Yue He, Jing Li, Kai Zhu, Jun Chang, Jiaheng Yu
2025 A* conf
Adaptive User Dynamic Interest Guidance for Generative Sequential Recommendation.
SIGIR
Kai Zhu, Jing Li, Jia Wu, Yue He, Jun Chang, Guohao Li, Shuyi Zhang
2025 J jnl
Improving cancer driver genes identifying based on graph embedding hypergraph and hierarchical synergy dominance model.
Expert Syst. Appl.
Zhipeng Hu, Xiaoyan Kui, Canwei Liu, Zanbo Sun, Shen Jiang, Min Zhang, Kai Zhu, Beiji Zou
2025 B conf
Joint Content semantic relation Learning with Mamba for Multimodal Recommendation.
IJCNN
Xinyue Zhang, Yue He, Jing Li, Jun Chang, Kai Zhu, Guohao Li
2024 B conf
Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation.
IJCNN
Jiaheng Yu, Jing Li, Yue He, Kai Zhu, Shuyi Zhang, Wen Hu
2024 J jnl
Flexibly utilizing syntactic knowledge in aspect-based sentiment analysis.
Inf. Process. Manag.
Xiaosai Huang, Jing Li, Jia Wu, Jun Chang, Donghua Liu, Kai Zhu
2023 J jnl
A model and cooperative co-evolution algorithm for identifying driver pathways based on the integrated data and PPI network.
Expert Syst. Appl.
Kai Zhu, Jingli Wu, Gaoshi Li, Xiaorong Chen, Michael Yourong Luo
2023 J jnl
Identifying driver pathways based on a parameter-free model and a partheno-genetic algorithm.
BMC Bioinform.
Jingli Wu, Qinghua Nie, Gaoshi Li, Kai Zhu
2023 B conf
Two-way Cross-domain Recommendation with Central Social Influence.
IJCNN
Shuyi Zhang, Jing Li, Jun Chang, Mingfeng Wang, Kai Zhu
2022 J jnl
A model and algorithm for identifying driver pathways based on weighted non-binary mutation matrix.
Appl. Intell.
Jingli Wu, Kai Zhu, Gaoshi Li, Jinyan Wang, Qirong Cai
2022 J jnl
A nonlinear model and an algorithm for identifying cancer driver pathways.
Appl. Soft Comput.
Jingli Wu, Xiaorong Chen, Gaoshi Li, Zheng Deng, Kai Zhu
2022 J jnl
ESVSSE: Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption.
IEEE Trans. Knowl. Data Eng.
Zhenkui Shi, Xuemei Fu, Xianxian Li, Kai Zhu
2020 J jnl
Two novel models and a parthenogenetic algorithm for detecting common driver pathways from pan-cancer data.
Eng. Appl. Artif. Intell.
Jingli Wu, Ke Pan, Gaoshi Li, Kai Zhu, Qirong Cai
2019 — conf
Identifying Common Driver Pathways based on Pan-cancer Data.
BIBM
Jingli Wu, Ke Pan, Kai Zhu, Qirong Cai