| Switchtab: Switched autoencoders are effective tabular learners J Wu, S Chen, Q Zhao, R Sergazinov, C Li, S Liu, C Zhao, T Xie, H Guo, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15924 …, 2024 | 45 | 2024 |
| Claims data-driven modeling of hospital time-to-readmission risk with latent heterogeneity S Chen, N Kong, X Sun, H Meng, M Li Health care management science 22, 156-179, 2019 | 43 | 2019 |
| Recontab: Regularized contrastive representation learning for tabular data S Chen, J Wu, N Hovakimyan, H Yao arXiv preprint arXiv:2310.18541, 2023 | 37 | 2023 |
| Residual-based language models are free boosters for biomedical imaging tasks Z Lai, J Wu, S Chen, Y Zhou, A Hovakimyan, N Hovakimyan arXiv preprint arXiv:2403.17343, 2024 | 36* | 2024 |
| A data heterogeneity modeling and quantification approach for field pre-assessment of chloride-induced corrosion in aging infrastructures S Chen, L Lu, Y Xiang, Q Lu, M Li Reliability Engineering & System Safety 171, 123-135, 2018 | 34 | 2018 |
| Adaptive ensembles of fine-tuned transformers for llm-generated text detection Z Lai, X Zhang, S Chen arXiv preprint arXiv:2403.13335, 2024 | 29 | 2024 |
| The new agronomists: Language models are experts in crop management J Wu, Z Lai, S Chen, R Tao, P Zhao, N Hovakimyan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 29 | 2024 |
| Optimal binomial reliability demonstration tests design under acceptance decision uncertainty S Chen, L Lu, Q Zhang, M Li Quality Engineering 32 (3), 492-508, 2020 | 28 | 2020 |
| Multi-state reliability demonstration tests S Chen, L Lu, M Li Quality Engineering 29 (3), 431-445, 2017 | 23 | 2017 |
| Personalized fall risk assessment for long-term care services improvement S Chen, WD Kearns, JL Fozard, M Li 2017 Annual Reliability and Maintainability Symposium (RAMS), 1-7, 2017 | 13 | 2017 |
| Optimal test design for reliability demonstration under multi-stage acceptance uncertainties B Wang, L Lu, S Chen, M Li Quality Engineering 36 (1), 91-104, 2024 | 12 | 2024 |
| Some recent advances in design of bayesian binomial reliability demonstration tests S Chen University of South Florida, 2020 | 11 | 2020 |
| Deep representation learning for multi-functional degradation modeling of community-dwelling aging population S Chen, X Liu, Y Li, J Wu, H Yao arXiv preprint arXiv:2404.05613, 2024 | 6 | 2024 |
| Residual-based language models are free boosters for biomedical imaging Z Lai, J Wu, S Chen, Y Zhou, N Hovakimyan arXiv preprint arXiv:2403.17343, 2024 | 2 | 2024 |
| CROPS: A Deployable Crop Management System Over All Possible State Availabilities J Wu, Z Lai, S Liu, S Chen, R Tao, P Zhao, C Tao, Y Cheng, ... arXiv preprint arXiv:2411.06034, 2024 | 1 | 2024 |
| TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data S Chen, J Wu, Y Wang, C Ji, T Xie, D Cociorva, M Sharps, C Levasseur, ... NeurIPS 2024 Third Table Representation Learning Workshop, 2024 | 1 | 2024 |
| Advanced Reliability Engineering Tests with MSRDT S Chen Engineering Archive, 2023 | | 2023 |
| EConTab: Explainable Contrastive Tabular Representation Learning with Regularization S Chen, J Wu, H Yao Engineering Archive, 0 | | |
Jing WuAWS, University of Illinois at Urbana-Champaign (UIUC)Email verificata su illinois.edu