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 | 60 | 2016 |
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 | 47 | 2017 |
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 | 38 | 2015 |
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 | 33 | 2012 |
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 | 28 | 2023 |
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 | 23 | 2020 |
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 | 17 | 2019 |
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 | 10 | 2018 |
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 | 9 | 2022 |
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 | 8 | 2021 |
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 | 7 | 2018 |
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 | 6 | 2023 |
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 | 6 | 2022 |
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 | 5 | 2019 |
Transcriptome assembly strategies for precision medicine L Wang, L Acharya, C Bai, D Zhu Quantitative Biology 5, 280-290, 2017 | 5 | 2017 |
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 | 5 | 2017 |
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 | 4 | 2023 |
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 | 4 | 2021 |
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 | 4 | 2020 |
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 | 4 | 2016 |