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Lu Wang
Lu Wang
Assistant Professor
Verificeret mail på central.uh.edu - Startside
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Citeret af
År
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
702016
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
602023
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
512017
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
432015
Transfer learning on small datasets for improved fall detection
N Maray, AH Ngu, J Ni, M Debnath, L Wang
Sensors 23 (3), 1105, 2023
402023
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
312020
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
182019
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
152023
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
142022
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
122018
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, 476, 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
92021
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
62021
Enhancing cybersecurity situation awareness through visualization: A USB data exfiltration case study
MHM Chung, YA Yang, L Wang, G Cento, K Jerath, P Taank, A Raman, ...
Heliyon 9 (1), 2023
52023
Modeling over-dispersion for network data clustering
L Wang, D Zhu, M Dong, Y Li
2017 16th IEEE International Conference on Machine Learning and Applications …, 2017
52017
Transcriptome assembly strategies for precision medicine
L Wang, L Acharya, C Bai, D Zhu
Quantitative Biology 5, 280-290, 2017
52017
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
Prioritization of Multi-level Risk Factors, and Predicting Changes in Depression Ratings after Treatment Using Multi-Task Learning
L Wang, M Chignell, H Jiang, S Lokuge, G Mason, K Fotinos, M Katzman
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021
22021
Discovering the causal structure of the Hamilton rating scale for depression using causal discovery
L Wang, M Chignell, H Jiang, S Lokuge, G Mason, K Fotinos, M Katzman
2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021
22021
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