Lu Wang
Orcid: 0000-0003-4016-4096Affiliations:
- 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 25 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
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
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
Proceedings of the IEEE International Conference on Data Mining, 2021
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
Proceedings of the IAIT 2020: The 11th International Conference on Advances in Information Technology, 2020
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
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
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