Xianglin Zuo

Orcid: 0000-0002-2073-1631

According to our database1, Xianglin Zuo authored at least 22 papers between 2012 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Generating real-world hypergraphs via deep generative models.
Inf. Sci., November, 2023

Exploring graph capsual network and graphormer for graph classification.
Inf. Sci., September, 2023

Dynamic item feature modeling for rating prediction in recommender systems.
Neurocomputing, September, 2023

2022
Exploiting Dual-Attention Networks for Explainable Recommendation in Heterogeneous Information Networks.
Entropy, December, 2022

Towards Improving Causality Mining using BERT with Multi-level Feature Networks.
KSII Trans. Internet Inf. Syst., 2022

Hierarchical recurrent neural networks for graph generation.
Inf. Sci., 2022

A multi-level neural network for implicit causality detection in web texts.
Neurocomputing, 2022

A Word-Granular Adversarial Attacks Framework for Causal Event Extraction.
Entropy, 2022

Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding.
CoRR, 2022

Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Deep dynamic imputation of clinical time series for mortality prediction.
Inf. Sci., 2021

Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units.
IEEE Access, 2020

A Review of Dataset and Labeling Methods for Causality Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Sequential Recommendation Based on Long-Term and Short-Term User Behavior with Self-attention.
Proceedings of the Knowledge Science, Engineering and Management, 2019

2018
Coupled Low Rank Approximation for Collaborative Filtering in Social Networks.
IEEE Access, 2018

Trust-Distrust Aware Recommendation by Integrating Metric Learning with Matrix Factorization.
Proceedings of the Knowledge Science, Engineering and Management, 2018

2017
Exploring Uncertainty Methods for Centrality Analysis in Social Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2013
Microblog Comments Sentiment Analysis Based on Extended Emotional Lexicon.
Proceedings of the Information Computing and Applications - 4th International Conference, 2013

Subjective Bayes Method for Word Semantic Similarity Measurement.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Web User Trust Relationship Prediction Based on Cloud Model.
Proceedings of the 2013 The Second International Conference on Innovative Computing and Cloud Computing, 2013

2012
A Novel Combine Forecasting Method for Predicting News Update Time.
J. Softw., 2012


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