Wei Zeng

Orcid: 0000-0002-3111-9579

Affiliations:
  • University of Electronic Science and Technology of China, Trusted Computing and Automated Reasoning Lab, Chengdu, China
  • University of Fribourg, Department of Physics, Fribourg, Switzerland
  • Hong Kong Baptist University, Department of Computer Science, Hong Kong


According to our database1, Wei Zeng authored at least 13 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
Adaptive Deep Neural Network for Click-Through Rate estimation.
Expert Syst. Appl., 2025

2023
Enhanced Feature Importance Learning for the Click-Through Rate Prediction.
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

2022
Fusing frequent sub-sequences in the session-based recommender system.
Expert Syst. Appl., 2022

2021
Fusing the Degree of Nodes in the Session Graph for Session-Based Recommendation.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2019
Preference modeling by exploiting latent components of ratings.
Knowl. Inf. Syst., 2019

2017
A Price Driven Hazard Approach to User Retention.
CoRR, 2017

Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2014
Uncovering the information core in recommender systems.
CoRR, 2014

2013
A unified framework for recommending items, groups and friends in social media environment via mutual resource fusion.
Expert Syst. Appl., 2013

Information filtering in sparse online systems: recommendation via semi-local diffusion.
CoRR, 2013

Membership in social networks and the application in information filtering.
CoRR, 2013

Heterogeneous data fusion via matrix factorization for augmenting item, group and friend recommendations.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Recommending Interest Groups to Social Media Users by Incorporating Heterogeneous Resources.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013


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