Zhang, X., & Lin, W.(2018).Universal Adaptive Control via Output Feedback for Nonlinear Systems with Parametric and Measurement Uncertainty.Proc. of the 57th IEEE Conference on Decision and Control (Dec. 17-19, 2018).
Zhang, X., & Lin, W.(2018).Robust Stabilization of Uncertain Systems with Measurement Sensitivity Using Output Feedback.Proc. of the 57th IEEE Conference on Decision and Control (Dec. 17-19, 2018).
Wang, J., Ye, L., Gao, R. X., Li, C. X., & Zhang, L. X.(2018).Digital Twin for rotating machinery fault diagnosis in smart manufacturing.International Journal of Production Research.
Schiefer, M., Graczyk, E., Sidik, S., Tan, D., & Tyler, D. J.(2018).Artificial tactile and proprioceptive feedback improves performance and confidence on object identification tasks.PLoS ONE,13(12).
Chen, X., Ji, J., Luo, C., Liao, W., & Li, P.(2018).When Machine Learning Meets Blockchain: A Decentralized, Privacy-preserving, and Secure Design.IEEE International Conference on Big Data (BigData’18).
Graczyk, E., Resnik, L., Schiefer, M., Schmitt, M., & Tyler, D. J.(2018).Home Use of a Neural-connected Sensory Prosthesis Provides the Functional and Psychosocial Experience of Having a Hand Again.Scientific Reports,8(1).
Graczyk, E., Resnik, L., Schiefer, M., Schmitt, M., & Tyler, D. J.(2018).Home use of a neural-connected sensory prosthesis provides the functional and psychosocial experience of having a hand again.Scientific Reports,8(1).
Liao, W., Guo, Y., Chen, X., & Li, P.(2018).A Unified Unsupervised Gaussian Mixture Variational Autoencoder for High Dimensional Outlier Detection.IEEE International Conference on Big Data.
Anderson, K., Ajiboye, B. B., Denison, T. B., French, J. B., Gustafson, K. J., Kilgore, K. J., Kleitman, N. J., Kusiak, A. J., Litt, B. J., Moynahan, M. J., Perreault, E. J., Weber, D. J., Williams, J. J., & Tyler, D. J.(2018).Proceedings of the second biennial Cleveland Neural Engineering Workshop 2013.Bioelectronic Medicine,4(1).
Guo, Y., Liao, W., Wang, Q., Yu, L., Ji, T., & Li, P.(2018).Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach.the 10th Asian Conference on Machine Learning (ACML’18).
Ji, J., Chen, X., Yu, L., Luo, C., & Li, P.(2018).SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud.the 10th Asian Conference on Machine Learning (ACML’18).
Wang, Y., Liang, J., Belostotski, L., Madanayake, A., & Mandal, S.(2018).?�S noise-shaping in 3-D space�time for 2-D wideband antenna array receivers.Multidimensional Systems and Signal Processing.
Barry, L., Hatchman, L., Fan, Z., Guralnik, J., Gao, R. X., & Kuchel, G. X.(2018).Reply to: Hands-free but Nonwearable Technology Needed for Outpatient Clinical Gait-speed Assessment: Gait speed in a geriatrics clinic.Journal of the American Geriatrics Society.
Wang, Y., Liang, J., Belostotski, L., Madanayake, A., & Mandal, S.(2018).Delta-Sigma noise-shaping in 3-D space--time for 2-D wideband antenna array receivers.Multidimensional Systems and Signal Processing.
Esmaeili, B., Theeranaew, W., Dabir, A., Lhatoo, S., & Loparo, K. A.(2018).Post-ictal Modulation of Baroreflex Sensitivity in Patients With Intractable Epilepsy.Frontiers in Neurology,9