Qingbo Hao

According to our database, Qingbo Hao authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

DLAN:Modeling user long- and short-term preferences based on double-layer attention network for next point-of-interest recommendation.

Yuhang Wu, Xu Jiao, Qingbo Hao, Yingyuan Xiao, Wenguang Zheng

J. Intell. Fuzzy Syst., February, 2024

2023

Evolving Interest with Feature Co-action Network for CTR Prediction.

Zhiyang Yuan, Wenguang Zheng, Peilin Yang, Qingbo Hao, Yingyuan Xiao

Data Sci. Eng., December, 2023

IMGC-GNN: A multi-granularity coupled graph neural network recommendation method based on implicit relationships.

Qingbo Hao, Chundong Wang, Yingyuan Xiao, Hao Lin

Appl. Intell., June, 2023

A novel personality detection method based on high-dimensional psycholinguistic features and improved distributed Gray Wolf Optimizer for feature selection.

Hao Lin, Chundong Wang, Qingbo Hao

Inf. Process. Manag., 2023

Domain-Invariant Task Optimization for Cross-domain Recommendation.

Dou Liu, Qingbo Hao, Yingyuan Xiao, Wenguang Zheng, Jinsong Wang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Deep Multi-interaction Hidden Interest Evolution Network for Click-Through Rate Prediction.

Zhongxing Zhang, Qingbo Hao, Yingyuan Xiao, Wenguang Zheng

Proceedings of the Database and Expert Systems Applications, 2023

Deep User and Item Inter-matching Network for CTR Prediction.

Zhiyang Yuan, Yingyuan Xiao, Peilin Yang, Qingbo Hao, Hongya Wang

Proceedings of the Database Systems for Advanced Applications, 2023

Item Multi-Information Evolution Network for Click-Through Rate Prediction.

Xiaojing Ji, Peilin Yang, Qingbo Hao, Wenguang Zheng, Yingyuan Xiao

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022

CFDIL: a context-aware feature deep interaction learning for app recommendation.

Qingbo Hao, Ke Zhu, Chundong Wang, Peng Wang, Xiu-liang Mo, Zhen Liu

Soft Comput., 2022

2020

Study on classification of maize disease image based on fast k-nearest neighbor support.

Yan Xu, Qingbo Hao, Li-Juan Qiao, Shaoyong Wang

Proceedings of the IEEE Intl Conf on Dependable, 2020