Wenzhuo Song

Orcid: 0000-0002-1607-3402

According to our database1, Wenzhuo Song authored at least 15 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Dual-Tower Counterfactual Session-Aware Recommender System.
Entropy, June, 2024

DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation.
CoRR, 2024

2023
A Counterfactual Collaborative Session-based Recommender System.
CoRR, 2023

A Counterfactual Collaborative Session-based Recommender System.
Proceedings of the ACM Web Conference 2023, 2023

2022
Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021
A block-based generative model for attributed network embedding.
World Wide Web, 2021

Hyperbolic node embedding for signed networks.
Neurocomputing, 2021

Next-item Recommendations in Short Sessions.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020
Semi-supervised stochastic blockmodel for structure analysis of signed networks.
Knowl. Based Syst., 2020

A Block-based Generative Model for Attributed Networks Embedding.
CoRR, 2020

2019
Hyperbolic Node Embedding for Signed Networks.
CoRR, 2019

2018
Stochastic Variational Inference-Based Parallel and Online Supervised Topic Model for Large-Scale Text Processing.
J. Comput. Sci. Technol., 2018

Learning node and edge embeddings for signed networks.
Neurocomputing, 2018

Block Modelling and Learning for Structure Analysis of Networks with Positive and Negative Links.
Proceedings of the Knowledge Science, Engineering and Management, 2018

2016
A fast and scalable supervised topic model using stochastic variational inference and MapReduce.
Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content, 2016


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