Lu Wang

Orcid: 0000-0003-4016-4096

Affiliations:
  • University of Houston, TX, USA
  • Texas State University, San Marcos, TX, USA (former)
  • Wayne State University, Department of Computer Science, Detroit, MI, USA (former)
  • University of Toronto, ON, Canada (PhD 2017)


According to our database1, Lu Wang authored at least 26 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies.
CoRR, 2024

2023
The Evolution of HCI and Human Factors: Integrating Human and Artificial Intelligence.
ACM Trans. Comput. Hum. Interact., April, 2023

Implementing Data Exfiltration Defense in Situ: A Survey of Countermeasures and Human Involvement.
ACM Comput. Surv., 2023

Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails.
CoRR, 2023

Poster: Binge drinking risk factors ranking using multi-task learning.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023

2021
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches.
Data Min. Knowl. Discov., 2021

MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis.
CoRR, 2021

Combining Ranking and Point-wise Losses for Training Deep Survival Analysis Models.
Proceedings of the IEEE International Conference on Data Mining, 2021

Hierarchical Clustering of Multi-Study Depression Data Yields Four Symptom Clusters.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Prioritization of Multi-level Risk Factors, and Predicting Changes in Depression Ratings after Treatment Using Multi-Task Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Discovering the Causal Structure of the Hamilton Rating Scale for Depression Using Causal Discovery.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
Interactive Machine Learning for Data Exfiltration Detection: Active Learning with Human Expertise.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Data Mining Methods for Optimizing Feature Extraction and Model Selection.
Proceedings of the IAIT 2020: The 11th International Conference on Advances in Information Technology, 2020

Cluster-Boosted Multi-Task Learning Framework for Survival Analysis.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
Multi-task learning based survival analysis for multi-source block-wise missing data.
Neurocomputing, 2019

Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches.
CoRR, 2019

Prioritization of Multi-Level Risk Factors for Obesity.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Tuning a Cancer Patient Typology Based on Emergency Department Visits.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Predicting Emergency Department Visits Based on Cancer Patient Types.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Clustering over-dispersed data with mixed feature types.
Stat. Anal. Data Min., 2018

Obesity risk factors ranking using multi-task learning.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017
Transcriptome assembly strategies for precision medicine.
Quant. Biol., 2017

Modeling Over-Dispersion for Network Data Clustering.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Multi-task Survival Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads.
Proceedings of the Bioinformatics Research and Applications - 12th International Symposium, 2016

Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016


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