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Lu Wang
Lu Wang
Assistant Professor, Biomedical Engineering, University of Houston
Verified email at mail.utoronto.ca - Homepage
Title
Cited by
Cited by
Year
Transfer learning for survival analysis via efficient l2, 1-norm regularized cox regression
Y Li, L Wang, J Wang, J Ye, CK Reddy
2016 IEEE 16th International Conference on Data Mining (ICDM), 231-240, 2016
602016
Multi-task survival analysis
L Wang, Y Li, J Zhou, D Zhu, J Ye
2017 IEEE international conference on data mining (ICDM), 485-494, 2017
472017
Printed microwells with highly stable thin-film enzyme coatings for point-of-care multiplex bioassay of blood samples
L Zhang, X Cao, L Wang, X Zhao, S Zhang, P Wang
Analyst 140 (12), 4105-4113, 2015
382015
A BioBrick compatible strategy for genetic modification of plants
PM Boyle, DR Burrill, MC Inniss, CM Agapakis, A Deardon, JG DeWerd, ...
Journal of biological engineering 6, 1-8, 2012
332012
The evolution of HCI and human factors: Integrating human and artificial intelligence
M Chignell, L Wang, A Zare, J Li
ACM Transactions on Computer-Human Interaction 30 (2), 1-30, 2023
272023
Interactive machine learning for data exfiltration detection: Active learning with human expertise
MH Chung, M Chignell, L Wang, A Jovicic, A Raman
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
232020
Multi-task learning based survival analysis for multi-source block-wise missing data
Y Li, L Wang, J Zhou, J Ye
Neurocomputing 364, 95-107, 2019
172019
Obesity risk factors ranking using multi-task learning
L Wang, D Zhu, E Towner, M Dong
2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018
102018
Boosting delirium identification accuracy with sentiment-based natural language processing: mixed methods study
L Wang, Y Zhang, M Chignell, B Shan, KA Sheehan, F Razak, A Verma
JMIR Medical Informatics 10 (12), e38161, 2022
92022
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches
L Wang, D Zhu
Data mining and knowledge discovery 35 (3), 1134-1161, 2021
82021
Clustering over‐dispersed data with mixed feature types
L Wang, D Zhu, M Dong
Statistical Analysis and Data Mining: The ASA Data Science Journal 11 (2), 55-65, 2018
72018
Implementing Data Exfiltration Defense in Situ: A Survey of Countermeasures and Human Involvement
MH Chung, Y Yang, L Wang, G Cento, K Jerath, A Raman, D Lie, ...
ACM Computing Surveys 55 (14s), 1-37, 2023
62023
Physician Experience Design (PXD): More Usable Machine Learning Prediction for Clinical Decision Making
L Wang, M Chignell, Y Zhang, A Pinto, F Razak, K Sheehan, A Verma
AMIA Summits on Translational Science Proceedings, 2022
62022
Prioritization of multi-level risk factors for obesity
L Wang, M Dong, E Towner, D Zhu
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
52019
Transcriptome assembly strategies for precision medicine
L Wang, L Acharya, C Bai, D Zhu
Quantitative Biology 5, 280-290, 2017
52017
Modeling over-dispersion for network data clustering
L Wang, D Zhu, Y Li, M Dong
16th International Conference on Machine Learning and Applications (ICMLA …, 2017
52017
Implementing active learning in cybersecurity: Detecting anomalies in redacted emails
MH Chung, L Wang, S Li, Y Yang, C Giang, K Jerath, A Raman, D Lie, ...
arXiv preprint arXiv:2303.00870, 2023
42023
Combining ranking and point-wise losses for training deep survival analysis models
L Wang, Y Li, M Chignell
2021 IEEE international conference on data mining (ICDM), 689-698, 2021
42021
Cluster-boosted multi-task learning framework for survival analysis
L Wang, M Chignell, H Jiang, N Charoenkitkarn
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020
42020
Poisson-markov mixture model and parallel algorithm for binning massive and heterogenous dna sequencing reads
L Wang, D Zhu, Y Li, M Dong
Bioinformatics Research and Applications: 12th International Symposium …, 2016
42016
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