Dr. Yuxin Wen

Assistant Professor

Electrical Engineering and Computer Science, Fowler School of Engineering

Office Location: Keck Center for Science and Engineering Swenson Hall N325

Education:: Zhejiang University, Master of Science
The University of Texas At El Paso, Ph.D.

Biography

2016 - 2020

Ph.D. in Electrical and Computer Engineering, The University of Texas at El Paso, (Mentors: Prof. Bill Tseng and Prof. Jianguo Wu)

2011 - 2014

M.S. in Biomedical Engineering, Zhejiang University

2007 - 2011

B.S. in Medical Information Engineering, Sichuan University

RESEARCH/TEACHING INTERESTS

Dr. Yuxin Wen’s research centers on data-driven approaches for quality improvement, system fault detection, diagnosis, and prognostics in complex systems, with primary applications in manufacturing and healthcare. Her expertise includes machine learning, statistical modeling, and Big data analytics. Specific projects under investigation include system failure prediction, disease progression modeling, real-time prediction of inpatient length of stay to optimize hospital operations, and human movement recognition for activity and behavior monitoring.

Recent Creative, Scholarly Work and Publications: Zeng, H., Sun, X., Wang, K., Wen, Y., Si, W., & Li, M. (2024). A Bayesian Approach for Lifetime Modeling and Prediction with Multi-Type Group-Shared Missing Covariates. Mathematics, 12(5), 740.; Chen, J., Wen, Y., Pokojovy, M., Tseng, T. L. B., McCaffrey, P., Vo, A., ... & Moen, S. (2024). Multi-modal learning for inpatient length of stay prediction. Computers in Biology and Medicine, 171, 108121.; Di Qi, T., Cibrian, F. L., Raswan, M., Kay, T., Camarillo-Abad, H. M., & Wen, Y. (2024). Towards Intuitive 3D Interactions in Virtual Reality: A Deep Learning-Based Dual-Hand Gesture Recognition Approach. IEEE Access.; Chen, J., Wen, Y., Sun, X., Zeb, A., Meiabadi, M. S., & Karganroudi, S. S. (2024). FPCA-SETCN: A Novel Deep Learning Framework for Remaining Useful Life Prediction. IEEE Sensors Journal.; Brumm, S., Linstead, E., Chen, J., Balakrishnan, N., & Wen, Y. (2024). Joint modeling of degradation signals and time-to-event data for the prediction of remaining useful life. Quality and Reliability Engineering International.; Chen, J., Li, Q., Liu, F., & Wen, Y. (2024). M3T-LM: A multi-modal multi-task learning model for jointly predicting patient length of stay and mortality. Computers in Biology and Medicine, 183, 109237.; Chen, J., Wen, Y., Nanehkaran, Y. A., Suzauddola, M. D., Chen, W., & Zhang, D. (2023). Machine learning techniques for stock price prediction and graphic signal recognition. Engineering Applications of Artificial Intelligence, 121, 106038.; Chen, J., Soangra, R., Grant-Beuttler, M., Nanehkaran, Y. A., & Wen, Y. (2023). Dense & Attention Convolutional Neural Networks for Toe Walking Recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 2235-2245.; Chen, J., Wen, Y., Nanehkaran, Y. A., Zhang, D., & Zeb, A. (2023). Multiscale attention networks for pavement defect detection. IEEE Transactions on Instrumentation and Measurement, 72, 1-12.; Chen, J., Di Qi, T., Vu, J., & Wen, Y. (2023). A deep learning approach for inpatient length of stay and mortality prediction. Journal of Biomedical Informatics, 147, 104526.; Chen, J., Deng, X., Wen, Y., Chen, W., Zeb, A., & Zhang, D. (2022). Weakly-supervised learning method for the recognition of potato leaf diseases. Artificial Intelligence Review, 1-18.; Zhuang, Y., Rahman, M. F., Wen, Y., Pokojovy, M., McCaffrey, P., Vo, A., ... & Tseng, T. L. B. (2022). An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR. Journal of X-Ray Science and Technology, (Preprint), 1-16.; Rahman, M. F., Tseng, T. L. B., Wu, J., Wen, Y., & Lin, Y. (2022). A deep learning-based approach to extraction of filler morphology in SEM images with the application of automated quality inspection. AI EDAM, 36.; Wen, Y., Rahman, M. F., Xu, H., & Tseng, T. L. B. (2022). Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective. Measurement, 187, 110276.; Wen, Y., Guo, X., Son, J., & Wu, J. (2022). A neural-network-based proportional hazard model for IoT signal fusion and failure prediction. IISE Transactions, 1-15.; Solaiyappan, S., & Wen, Y. (2022). Machine learning based medical image deepfake detection: A comparative study. Machine Learning with Applications, 8, 100298.; Soangra, R., Wen, Y., Yang, H., & Grant-Beuttler, M. (2022). Classifying Toe Walking Gait Patterns Among Children Diagnosed With Idiopathic Toe Walking Using Wearable Sensors and Machine Learning Algorithms. IEEE Access, 10, 77054-77067.; Wen, Y., Rahman, M. F., Zhuang, Y., Pokojovy, M., Xu, H., McCaffrey, P., ... & Tseng, T. L. B. (2022). Time-to-event modeling for hospital length of stay prediction for COVID-19 patients. Machine Learning with Applications, 9, 100365.; Gao, Y., Wen, Y., & Wu, J. (2020). A neural network-based joint prognostic model for data fusion and remaining useful life prediction. IEEE transactions on neural networks and learning systems, 32(1), 117-127.; Rahman, M. F., Wen, Y., Xu, H., Tseng, T. L. B., & Akundi, S. (2020). Data mining in telemedicine. Advances in Telemedicine for Health Monitoring: Technologies, Design and Applications, 103-131.; Wen, Y., AlHakeem, D., Mandal, P., Chakraborty, S., Wu, Y. K., Senjyu, T., ... & Tseng, T. L. (2019). Performance evaluation of probabilistic methods based on bootstrap and quantile regression to quantify PV power point forecast uncertainty. IEEE transactions on neural networks and learning systems, 31(4), 1134-1144.; Wen, Y., Wu, J., Das, D., & Tseng, T. L. B. (2018). Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity. Reliability Engineering & System Safety, 176, 113-124.; Wen, Y., Wu, J., Zhou, Q., & Tseng, T. L. (2018). Multiple-change-point modeling and exact Bayesian inference of degradation signal for prognostic improvement. IEEE Transactions on Automation Science and Engineering, 16(2), 613-628.; Y. Wen, J. Wu and Y. Yuan, "Multiple-Phase Modeling of Degradation Signal for Condition Monitoring and Remaining Useful Life Prediction," IEEE Transactions on Reliability, vol. 66, no. 3, pp. 924-938, Sept. 2017.

Dr. Yuxin Wen

Biography

RESEARCH/TEACHING INTERESTS

Recent Creative, Scholarly Work and Publications

Faculty Directories by School or College