Kai Zhu

According to our database, Kai Zhu authored at least 14 papers between 2019 and 2026.

Collaborative distances:

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

2026

Multi-representation space recommendation with graph contrastive learning.

Xiaoda Li, Yue He, Jing Li, Kai Zhu, Jun Chang, Jiaheng Yu

Expert Syst. Appl., 2026

2025

From ID-based to ID-free: Rethinking ID Effectiveness in Multimodal Collaborative Filtering Recommendation.

Guohao Li, Li Jing, Jia Wu, Xuefei Li, Kai Zhu, Yue He

CoRR, July, 2025

Improving cancer driver genes identifying based on graph embedding hypergraph and hierarchical synergy dominance model.

Zhipeng Hu, Xiaoyan Kui, Canwei Liu, Zanbo Sun, Shen Jiang, Min Zhang, Kai Zhu, Beiji Zou

Expert Syst. Appl., 2025

Adaptive User Dynamic Interest Guidance for Generative Sequential Recommendation.

Kai Zhu, Jing Li, Jia Wu, Yue He, Jun Chang, Guohao Li, Shuyi Zhang

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

2024

Flexibly utilizing syntactic knowledge in aspect-based sentiment analysis.

Xiaosai Huang, Jing Li, Jia Wu, Jun Chang, Donghua Liu, Kai Zhu

Inf. Process. Manag., March, 2024

Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation.

Jiaheng Yu, Jing Li, Yue He, Kai Zhu, Shuyi Zhang, Wen Hu

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Identifying driver pathways based on a parameter-free model and a partheno-genetic algorithm.

Jingli Wu, Qinghua Nie, Gaoshi Li, Kai Zhu

BMC Bioinform., December, 2023

A model and cooperative co-evolution algorithm for identifying driver pathways based on the integrated data and PPI network.

Kai Zhu, Jingli Wu, Gaoshi Li, Xiaorong Chen, Michael Yourong Luo

Expert Syst. Appl., 2023

Two-way Cross-domain Recommendation with Central Social Influence.

Shuyi Zhang, Jing Li, Jun Chang, Mingfeng Wang, Kai Zhu

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

ESVSSE: Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption.

Zhenkui Shi, Xuemei Fu, Xianxian Li, Kai Zhu

IEEE Trans. Knowl. Data Eng., 2022

A nonlinear model and an algorithm for identifying cancer driver pathways.

Jingli Wu, Xiaorong Chen, Gaoshi Li, Zheng Deng, Kai Zhu

Appl. Soft Comput., 2022

A model and algorithm for identifying driver pathways based on weighted non-binary mutation matrix.

Jingli Wu, Kai Zhu, Gaoshi Li, Jinyan Wang, Qirong Cai

Appl. Intell., 2022

2020

Two novel models and a parthenogenetic algorithm for detecting common driver pathways from pan-cancer data.

Jingli Wu, Ke Pan, Gaoshi Li, Kai Zhu, Qirong Cai

Eng. Appl. Artif. Intell., 2020

2019

Identifying Common Driver Pathways based on Pan-cancer Data.

Jingli Wu, Ke Pan, Kai Zhu, Qirong Cai

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019