Shaowu Liu

Orcid: 0000-0001-6062-6580

According to our database1, Shaowu Liu authored at least 41 papers between 2012 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Causal Optimal Transport for Treatment Effect Estimation.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

ACSN: Attention capsule sampling network for diagnosing COVID-19 based on chest CT scans.
Comput. Biol. Medicine, February, 2023

2022
Deep treatment-adaptive network for causal inference.
VLDB J., 2022

V-SVR+: Support Vector Regression With Variational Privileged Information.
IEEE Trans. Multim., 2022

A framework for a knowledge based cold spray repairing system.
J. Intell. Manuf., 2022

2021
Leveraging unstructured call log data for customer churn prediction.
Knowl. Based Syst., 2021

Leveraging multi-level dependency of relational sequences for social spammer detection.
Neurocomputing, 2021

Causal-Aware Generative Imputation for Automated Underwriting.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Deep learning for misinformation detection on online social networks: a survey and new perspectives.
Soc. Netw. Anal. Min., 2020

Learning with privileged information for photo aesthetic assessment.
Neurocomputing, 2020

Causality Learning: A New Perspective for Interpretable Machine Learning.
CoRR, 2020

Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Joint Relational Dependency Learning for Sequential Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Electricity Price Forecasting using Convolution and LSTM Models.
Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry.
Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

2019
DPWeVote: differentially private weighted voting protocol for cloud-based decision-making.
Enterp. Inf. Syst., 2019

Deep learning for decision making and the optimization of socially responsible investments and portfolio.
Decis. Support Syst., 2019

Locally private Jaccard similarity estimation.
Concurr. Comput. Pract. Exp., 2019

Electricity Price Forecast using Meteorology data: A study in Australian Energy Market.
Proceedings of the 6th International Conference on Behavioral, 2019

Prediction and Analysis of Rumour's Impact on Social Media.
Proceedings of the 6th International Conference on Behavioral, 2019

On Completing Sparse Knowledge Base with Transitive Relation Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Knowledge-Based Recommendation with Hierarchical Collaborative Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Social Spammer Detection: A Multi-Relational Embedding Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Multimodal Mixture Density Boosting Network for Personality Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Client Churn Prediction with Call Log Analysis.
Proceedings of the Database Systems for Advanced Applications, 2018

Semi-Supervised Soft K-Means Clustering of Life Insurance Questionnaire Responses.
Proceedings of the 5th International Conference on Behavioral, 2018

Automated Underwriting in Life Insurance: Predictions and Optimisation.
Proceedings of the Databases Theory and Applications, 2018

2017
Erratum to: Preference Relation-based Markov Random Fields for Recommender Systems.
Mach. Learn., 2017

Preference Relation-based Markov Random Fields for Recommender Systems.
Mach. Learn., 2017

WarnFi: Non-invasive wifi-based abnormal activity sensing using non-parametric model.
Proceedings of the 2017 IEEE Military Communications Conference, 2017

Collaborative Filtering via Different Preference Structures.
Proceedings of the Knowledge Science, Engineering and Management, 2017

NotiFi: A ubiquitous WiFi-based abnormal activity detection system.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Latent factor analysis for low-dimensional implicit preference prediction.
Proceedings of the 2017 International Conference on Behavioral, 2017

Towards simplified insurance application via sparse questionnaire optimization.
Proceedings of the 2017 International Conference on Behavioral, 2017

2016
WiseFi: Activity Localization and Recognition on Commodity Off-the-Shelf WiFi Devices.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

2014
Mining permission patterns for contrasting clean and malicious android applications.
Future Gener. Comput. Syst., 2014

Ordinal Random Fields for Recommender Systems.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013
Contrasting Permission Patterns between Clean and Malicious Android Applications.
Proceedings of the Security and Privacy in Communication Networks, 2013

2012
K-Complex Detection Using a Hybrid-Synergic Machine Learning Method.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Identifying Microphone from Noisy Recordings by Using Representative Instance One Class-Classification Approach.
J. Networks, 2012

Efficiently Identifying Duplicated Chinese Company Names in Large-Scale Registration Database.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012


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