| Dimension reduction via gaussian ridge functions P Seshadri, S Yuchi, GT Parks SIAM/ASA Journal on Uncertainty Quantification 7 (4), 1301-1322, 2019 | 38 | 2019 |
| Adversarial anomaly detection for marked spatio-temporal streaming data S Zhu, HS Yuchi, Y Xie ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 29 | 2020 |
| Conglomerate multi-fidelity Gaussian process modeling, with application to heavy-ion collisions Y Ji, HS Yuchi, D Soeder, JF Paquet, SA Bass, VR Joseph, CFJ Wu, ... SIAM/ASA Journal on Uncertainty Quantification 12 (2), 473-502, 2024 | 27* | 2024 |
| Bayesian uncertainty quantification for low-rank matrix completion HS Yuchi, S Mak, Y Xie Bayesian Analysis 18 (2), 491-518, 2023 | 24 | 2023 |
| Sequential adversarial anomaly detection for one-class event data S Zhu, HS Yuchi, M Zhang, Y Xie INFORMS Journal on Data Science 2 (1), 45-59, 2023 | 13 | 2023 |
| Supporting multi-point fan design with dimension reduction P Seshadri, S Yuchi, GT Parks, S Shahpar The Aeronautical Journal 124 (1279), 1371-1398, 2020 | 12 | 2020 |
| Design and analysis of multifidelity finite element simulations H Shaowu Yuchi, V Roshan Joseph, CF Jeff Wu Journal of Mechanical Design 145 (6), 061703, 2023 | 10 | 2023 |
| Mobile Internet Quality Estimation using Self-Tuning Kernel Regression H Jiang, HS Yuchi, E Belding, E Zegura, Y Xie arXiv preprint arXiv:2311.05641, 2023 | 7 | 2023 |
| Information-guided sampling for low-rank matrix completion S Mak, HS Yushi, Y Xie arXiv preprint arXiv:1706.08037, 2017 | 7 | 2017 |
| AI for Accelerated Materials Design NeurIPS “22 Workshop HS Yuchi, KN Williams, GK Ligonde New Orleans, 2022 | 5 | 2022 |
| In situ transmission electron microscopy: Signal processing challenges and examples J Kacher, Y Xie, SP Voigt, S Zhu, H Yuchi, J Key, SR Kalidindi IEEE Signal Processing Magazine 39 (1), 89-103, 2021 | 5 | 2021 |
| Sequential adversarial anomaly detection with deep Fourier kernel S Zhu, HS Yuchi, M Zhang, Y Xie ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 3 | 2021 |
| New user event prediction through the lens of causal inference HS Yuchi, S Zhu, L Dong, YM Arisoy, MC Spencer arXiv preprint arXiv:2407.05625, 2024 | 2 | 2024 |
| Scalable Gaussian Processes with Low-Rank Deep Kernel Decomposition Y Zhu, HS Yuchi, Y Xie arXiv preprint arXiv:2505.18526, 2025 | 1 | 2025 |
| Discovering the Unknowns: A First Step VR Joseph, WE Lewis, HS Yuchi, KA Maupin SIAM/ASA Journal on Uncertainty Quantification 12 (4), 1336-1348, 2024 | 1 | 2024 |
| Towards Z-Next: The integration of theory, experiments, and computational simulation in a Bayesian data assimilation framework KA Maupin, A Tran, WE Lewis, PF Knapp, VR Joseph, CF Wu, ME Glinsky, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | 1 | 2022 |
| Needle in a Haystack: Information Recovery in Low Signal‐to‐Noise Piezoresponse Force Microscopy Data KN Williams, HS Yuchi, GK Ligonde, M Repasky, Y Xie, N Bassiri‐Gharb Small Methods, 2500318, 2025 | | 2025 |
| Modeling Discrete Coating Degradation Events via Hawkes Processes M Repasky, H Yuchi, F Friedersdorf, Y Xie arXiv preprint arXiv:2504.09706, 2025 | | 2025 |
| Real-Time Measurement of Aerospace Organic Coating Condition and Performance in Atmospheric Corrosion Conditions V Avance, R Marshall, F Friedersdorf, M Repasky, H Yuchi, Y Xie CONFERENCE 2024, 1-15, 2024 | | 2024 |
| Streaming Low-Rank Matrix Data Assimilation and Change Identification HS Yuchi, M Repasky, T Ma, Y Xie 2023 57th Asilomar Conference on Signals, Systems, and Computers, 920-924, 2023 | | 2023 |
Yao XieCoca-Cola Foundation Chair and Professor, Georgia Institute of TechnologyVerified email at isye.gatech.edu
