Lu Wang

28 papers A* 3B 2C 2Journal 12Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explainable counterfactual reasoning in depression medication selection at multi-levels (personalized and population).
BMC Medical Informatics Decis. Mak.
Xinyu Qin, Mark H. Chignell, Alexandria Greifenberger, Sachinthya Lokuge, Elssa Toumeh, Tia Sternat, Martin Katzman, Lu Wang
2025 J jnl
Explainable Counterfactual Reasoning in Depression Medication Selection at Multi-Levels (Personalized and Population).
CoRR
Xinyu Qin, Mark H. Chignell, Alexandria Greifenberger, Sachinthya Lokuge, Elssa Toumeh, Tia Sternat, Martin Katzman, Lu Wang
2024 J jnl
Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies.
CoRR
Mu-Huan Chung, Sharon Li, Jaturong Kongmanee, Lu Wang, Yuhong Yang, Calvin Giang, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell
2023 J jnl
Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails.
CoRR
Mu-Huan Chung, Lu Wang, Sharon Li, Yuhong Yang, Calvin Giang, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell
2023 J jnl
Implementing Data Exfiltration Defense in Situ: A Survey of Countermeasures and Human Involvement.
ACM Comput. Surv.
Mu-Huan Chung, Yuhong Yang, Lu Wang, Greg Cento, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell
2023 B conf
Poster: Binge drinking risk factors ranking using multi-task learning.
MobiHoc
Daniel Gallegos, Elaine Raymond, Lu Wang
2023 J jnl
The Evolution of HCI and Human Factors: Integrating Human and Artificial Intelligence.
ACM Trans. Comput. Hum. Interact.
Mark H. Chignell, Lu Wang, Atefeh Zare, Jamy Li
2021 A* conf
Combining Ranking and Point-wise Losses for Training Deep Survival Analysis Models.
ICDM
Lu Wang, Yan Li, Mark H. Chignell
2021 — conf
Discovering the Causal Structure of the Hamilton Rating Scale for Depression Using Causal Discovery.
BHI
Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman
2021 — conf
Hierarchical Clustering of Multi-Study Depression Data Yields Four Symptom Clusters.
BIBM
Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman
2021 J jnl
MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis.
CoRR
Lu Wang, Haoyan Jiang, Mark H. Chignell
2021 — conf
Prioritization of Multi-level Risk Factors, and Predicting Changes in Depression Ratings after Treatment Using Multi-Task Learning.
BIBM
Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman
2021 J jnl
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches.
Data Min. Knowl. Discov.
Lu Wang, Dongxiao Zhu
2020 C conf
Cluster-Boosted Multi-Task Learning Framework for Survival Analysis.
BIBE
Lu Wang, Mark H. Chignell, Haoyan Jiang, Nipon Charoenkitkarn
2020 — conf
Data Mining Methods for Optimizing Feature Extraction and Model Selection.
IAIT
Masha Rouzbahman, Alexandra Jovicic, Lu Wang, Leon Zucherman, Zahid Abul-Basher, Nipon Charoenkitkarn, Mark H. Chignell
2020 B conf
Interactive Machine Learning for Data Exfiltration Detection: Active Learning with Human Expertise.
SMC
Mu-Huan Chung, Mark H. Chignell, Lu Wang, Alexandra Jovicic, Abhay Raman
2019 J jnl
Multi-task learning based survival analysis for multi-source block-wise missing data.
Neurocomputing
Yan Li, Lu Wang, Jiayu Zhou, Jieping Ye
2019 — conf
Predicting Emergency Department Visits Based on Cancer Patient Types.
BIBM
Mahsa Rouzbahman, Lu Wang, Mark H. Chignell, Leon Zucherman, Nipon Charoenkitkarn, Lisa Barbera
2019 — conf
Prioritization of Multi-Level Risk Factors for Obesity.
BIBM
Lu Wang, Ming Dong, Elizabeth Towner, Dongxiao Zhu
2019 J jnl
Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches.
CoRR
Lu Wang, Dongxiao Zhu
2019 — conf
Tuning a Cancer Patient Typology Based on Emergency Department Visits.
BIBM
Mahsa Rouzbahman, Lu Wang, Mark H. Chignell, Leon Zucherman, Nipon Charoenkitkarn, Lisa Barbera
2018 J jnl
Clustering over-dispersed data with mixed feature types.
Stat. Anal. Data Min.
Lu Wang, Dongxiao Zhu, Ming Dong
2018 — conf
Obesity risk factors ranking using multi-task learning.
BHI
Lu Wang, Dongxiao Zhu, Elizabeth Towner, Ming Dong
2017 C conf
Modeling Over-Dispersion for Network Data Clustering.
ICMLA
Lu Wang, Dongxiao Zhu, Ming Dong, Yan Li
2017 A* conf
Multi-task Survival Analysis.
ICDM
Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu, Jieping Ye
2017 J jnl
Transcriptome assembly strategies for precision medicine.
Quant. Biol.
Lu Wang, Lipi R. Acharya, Changxin Bai, Dongxiao Zhu
2016 — conf
Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads.
ISBRA
Lu Wang, Dongxiao Zhu, Yan Li, Ming Dong
2016 A* conf
Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression.
ICDM
Yan Li, Lu Wang, Jie Wang, Jieping Ye, Chandan K. Reddy