| Efficient emulation of relativistic heavy ion collisions with transfer learning D Liyanage, Y Ji, D Everett, M Heffernan, U Heinz, S Mak, JF Paquet Physical Review C 105 (3), 034910, 2022 | 19 | 2022 |
| A graphical multi-fidelity Gaussian process model, with application to emulation of heavy-ion collisions Y Ji, S Mak, D Soeder, JF Paquet, SA Bass Technometrics, 1-15, 2023 | 14* | 2023 |
| Bayesian analysis of QGP jet transport using multi-scale modeling applied to inclusive hadron and reconstructed jet data R Ehlers, A Angerami, R Arora, SA Bass, S Cao, Y Chen, L Du, T Dai, ... arXiv preprint arXiv:2208.07950, 2022 | 14 | 2022 |
| Physics-integrated Segmented Gaussian Process (SegGP) learning for cost-efficient training of diesel engine control system with low cetane numbers SR Narayanan, Y Ji, HD Sapra, S Yang, S Mak, Z Sun, S Kokjohn, K Kim, ... AIAA SCITECH 2023 Forum, 1283, 2023 | 9 | 2023 |
| Conglomerate Multi-Fidelity Gaussian Process Modeling, with Application to Heavy-Ion Collisions Y Ji, HS Yuchi, D Soeder, JF Paquet, SA Bass, VR Joseph, CF Wu, S Mak arXiv preprint arXiv:2209.13748, 2022 | 9* | 2022 |
| Photometric analysis of the system Kepler-1 E Budding, MD Rhodes, Ç Püsküllü, Y Ji, A Erdem, T Banks Astrophysics and Space Science 361 (10), 1-14, 2016 | 9 | 2016 |
| Multiscale evolution of charmed particles in a nuclear medium W Fan, G Vujanovic, SA Bass, A Majumder, A Angerami, R Arora, S Cao, ... Physical Review C 107 (5), 054901, 2023 | 8 | 2023 |
| An investigation into exoplanet transits and uncertainties Y Ji, T Banks, E Budding, MD Rhodes Astrophysics and Space Science 362 (6), 1-12, 2017 | 7 | 2017 |
| Hard Jet Substructure in a Multi-stage Approach Y Tachibana, A Kumar, A Majumder, A Angerami, R Arora, SA Bass, ... arXiv preprint arXiv:2301.02485, 2023 | 6 | 2023 |
| Stacking designs: designing multi-fidelity computer experiments with target predictive accuracy CL Sung, Y Ji, S Mak, W Wang, T Tang arXiv preprint arXiv:2211.00268, 2022 | 6* | 2022 |
| A multistage framework for studying the evolution of jets and high- probes in small collision systems A Majumder, A Angerami, R Arora, S Bass, S Cao, Y Chen, R Ehlers, ... arXiv preprint arXiv:2308.02650, 2023 | 2 | 2023 |
| Comprehensive Study of Multi-scale Jet-medium Interaction Y Tachibana, A Angerami, R Arora, SA Bass, S Cao, Y Chen, T Dai, L Du, ... arXiv preprint arXiv:2212.12188, 2022 | 2 | 2022 |
| BayesFLo: Bayesian Fault Localization for Software Testing Y Ji, R Lekivetz, S Mak, J Morgan 2023 IEEE 23rd International Conference on Software Quality, Reliability …, 2024 | 1 | 2024 |
| BayesFLo: Bayesian fault localization of complex software systems Y Ji, S Mak, R Lekivetz, J Morgan arXiv preprint arXiv:2403.08079, 2024 | | 2024 |
| A misfire-integrated Gaussian process (MInt-GP) emulator for energy-assisted compression ignition (EACI) engines with varying cetane number jet fuels SR Narayanan, Y Ji, HD Sapra, CBM Kweon, KS Kim, Z Sun, S Kokjohn, ... International Journal of Engine Research, 14680874241229514, 2024 | | 2024 |
| Photon-triggered jets as probes of multi-stage jet modification C Sirimanna, Y Tachibana, A Angerami, R Arora, SA Bass, S Cao, Y Chen, ... arXiv preprint arXiv:2401.17259, 2024 | | 2024 |
| Measuring jet quenching with a Bayesian inference analysis of hadron and jet data by JETSCAPE R Ehlers, A Angerami, R Arora, SA Bass, S Cao, Y Chen, L Du, H Elfner, ... arXiv preprint arXiv:2401.04201, 2024 | | 2024 |
| 3D Multi-system Bayesian Calibration with Energy Conservation to Study Rapidity-dependent Dynamics of Nuclear Collisions A Mankolli, A Angerami, R Arora, S Bass, S Cao, Y Chen, L Du, R Ehlers, ... arXiv preprint arXiv:2401.00402, 2023 | | 2023 |
| Multiscale evolution of heavy flavor in the QGP G Vujanovic, A Angerami, R Arora, SA Bass, S Cao, Y Chen, T Dai, L Du, ... arXiv preprint arXiv:2307.09640, 2023 | | 2023 |
| A new metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression W Fan, G Vujanovic, SA Bass, A Angerami, R Arora, S Cao, Y Chen, T Dai, ... arXiv preprint arXiv:2307.09641, 2023 | | 2023 |
Simon MakAssistant Professor of Statistical Science, Duke UniversityVerified email at duke.edu
