Lu Wang

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Mu-Huan Chung, Sharon Li, Jaturong Kongmanee, Lu Wang, Yuhong Yang, Calvin Giang, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell

CoRR, 2024

2023

The Evolution of HCI and Human Factors: Integrating Human and Artificial Intelligence.

Mark H. Chignell, Lu Wang, Atefeh Zare, Jamy Li

ACM Trans. Comput. Hum. Interact., April, 2023

Implementing Data Exfiltration Defense in Situ: A Survey of Countermeasures and Human Involvement.

Mu-Huan Chung, Yuhong Yang, Lu Wang, Greg Cento, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell

ACM Comput. Surv., 2023

Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails.

Mu-Huan Chung, Lu Wang, Sharon Li, Yuhong Yang, Calvin Giang, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell

CoRR, 2023

Poster: Binge drinking risk factors ranking using multi-task learning.

Daniel Gallegos, Elaine Raymond, Lu Wang

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.

Lu Wang, Dongxiao Zhu

Data Min. Knowl. Discov., 2021

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

Lu Wang, Haoyan Jiang, Mark H. Chignell

CoRR, 2021

Combining Ranking and Point-wise Losses for Training Deep Survival Analysis Models.

Lu Wang, Yan Li, Mark H. Chignell

Proceedings of the IEEE International Conference on Data Mining, 2021

Hierarchical Clustering of Multi-Study Depression Data Yields Four Symptom Clusters.

Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman

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.

Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman

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.

Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman

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.

Mu-Huan Chung, Mark H. Chignell, Lu Wang, Alexandra Jovicic, Abhay Raman

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Data Mining Methods for Optimizing Feature Extraction and Model Selection.

Masha Rouzbahman, Alexandra Jovicic, Lu Wang, Leon Zucherman, Zahid Abul-Basher, Nipon Charoenkitkarn, Mark H. Chignell

Proceedings of the IAIT 2020: The 11th International Conference on Advances in Information Technology, 2020

Cluster-Boosted Multi-Task Learning Framework for Survival Analysis.

Lu Wang, Mark H. Chignell, Haoyan Jiang, Nipon Charoenkitkarn

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.

Yan Li, Lu Wang, Jiayu Zhou, Jieping Ye

Neurocomputing, 2019

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

Lu Wang, Dongxiao Zhu

CoRR, 2019

Prioritization of Multi-Level Risk Factors for Obesity.

Lu Wang, Ming Dong, Elizabeth Towner, Dongxiao Zhu

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Tuning a Cancer Patient Typology Based on Emergency Department Visits.

Mahsa Rouzbahman, Lu Wang, Mark H. Chignell, Leon Zucherman, Nipon Charoenkitkarn, Lisa Barbera

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Predicting Emergency Department Visits Based on Cancer Patient Types.

Mahsa Rouzbahman, Lu Wang, Mark H. Chignell, Leon Zucherman, Nipon Charoenkitkarn, Lisa Barbera

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Clustering over-dispersed data with mixed feature types.

Lu Wang, Dongxiao Zhu, Ming Dong

Stat. Anal. Data Min., 2018

Obesity risk factors ranking using multi-task learning.

Lu Wang, Dongxiao Zhu, Elizabeth Towner, Ming Dong

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

Transcriptome assembly strategies for precision medicine.

Lu Wang, Lipi R. Acharya, Changxin Bai, Dongxiao Zhu

Quant. Biol., 2017

Modeling Over-Dispersion for Network Data Clustering.

Lu Wang, Dongxiao Zhu, Ming Dong, Yan Li

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Multi-task Survival Analysis.

Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu, Jieping Ye

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.

Lu Wang, Dongxiao Zhu, Yan Li, Ming Dong

Proceedings of the Bioinformatics Research and Applications - 12th International Symposium, 2016

Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression.

Yan Li, Lu Wang, Jie Wang, Jieping Ye, Chandan K. Reddy

Proceedings of the IEEE 16th International Conference on Data Mining, 2016