| E. Angelini and H. Qian. "Statistical analysis of random motion and energetic behavior of counting: Gibbs' theory revisited." J. Phys. Chem. B 2023, 127, 11, 2552–2564 |
Articles |
Applied Mathematics, Mathematical Physics, Optimization and Variational Analysis, Probability |
| Le, V., Nagpal, C., & Dubrawski, A. (2023). Identification of patients with stable coronary artery disease who benefit from ACE inhibitors using Cox mixture model for heterogeneous treatment effects. Journal of Critical Care, 74, 154208. |
Publications, Articles |
Machine Learning |
| Bradley C. Naylor, Christian N. K. Anderson, Marcus Hadfield, David H. Parkinson, Austin Ahlstrom, Austin Hannemann, Chad R. Quilling, Kyle J. Cutler, Russell L. Denton, Robert Adamson, Thomas E. Angel, Rebecca S. Burlett, Paul S. Hafen, John. C. Dallon, Mark K. Transtrum, Robert D. Hyldahl, and John C. Price.
"Utilizing Nonequilibrium Isotope Enrichments to Dramatically Increase Turnover Measurement Ranges in Single Biopsy Samples from Humans" (Sep 2022).
Journal of Proteome Research 2022 21 (11), 2703-2714.
DOI: 10.1021/acs.jproteome.2c00380.
Link: https://pubs.acs.org/doi/10.1021/acs.jproteome.2c00380 |
Publications, Articles |
Applied Mathematics, Biochemistry |
| Liu, Y.H., Smith, S., Mihalas S., Shea-Brown E., Sumbul U., “Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators”, Advances in Neural Information Processing Systems, 2022. |
Publications, Articles |
Applied Mathematics, Computer Science, Machine Learning, Mathematical Neuroscience |
| Liu, Y.H., Ghosh A., Richards B. A., Shea-Brown E., Lajoie G., “Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules”, Advances in Neural Information Processing Systems, 2022. |
Publications, Articles |
Applied Linear Algebra, Applied Mathematics, Computer Science, Dynamical Systems, Machine Learning, Mathematical Neuroscience |
| Maass, K., Aravkin, A., & Kim, M. (2021). A feasibility study of a hyperparameter tuning approach to automated inverse planning in radiotherapy. arXiv preprint arXiv: arXiv:2105.07024. |
Publications, Articles |
Applied Mathematics, Cancer Modeling, Machine Learning, Optimization and Variational Analysis |
| Yang, Y.-J. and Cheng, Y.-C., "Potentials of continuous Markov processes and random perturbations" J. Phys. A: Math. Theor. 54 195001 (2021) |
Publications, Articles |
Dynamical Systems, Mathematical Physics, Probability, Stochastic Modeling |
| Yang, Y.-J., & Qian, H. Bivectorial Nonequilibrium Thermodynamics: Cycle Affinity, Vorticity Potential, and Onsager’s Principle. J Stat. Phys. 182, 46 (2021). |
Publications, Articles |
Biophysics, Dynamical Systems, Mathematical Biology, Mathematical Physics, Probability, Stochastic Modeling |
| Liu, Y.H., Smith, S.J., Mihalas S., Shea-Brown E., Sumbul U., “Cell-type–specific neuromodulation guides synaptic credit assignment in a spiking neural network”, Proceedings of the National Academy of Sciences, 2021. |
Publications, Articles |
Computer Science, Machine Learning, Mathematical Neuroscience |
| Liu, Y.H., Smith, S.J., Mihalas S., Shea-Brown E., Sumbul U., “A solution to temporal credit assignment using cell-type-specific modulatory signals”, bioRxiv, 2020. |
Publications, Articles |
Machine Learning, Mathematical Neuroscience |
| Yang, Y.-J. & Qian, H. Unified formalism for entropy production and fluctuation relations. Phys. Rev. E 101 , 022129 (2020) |
Publications, Articles |
Biophysics, Dynamical Systems, Mathematical Biology, Mathematical Physics, Probability, Stochastic Modeling |
| Maass, K., Kim, M., & Aravkin, A. (2020). A nonconvex optimization approach to IMRT planning with dose-volume constraints. arXiv preprint arXiv:1907.10712. |
Publications, Articles |
Applied Mathematics, Cancer Modeling, Inverse Problems, Optimization and Variational Analysis |
| Ahlstrom, Austin, "Computational Regiospecific Analysis of Brain Lipidomic Profiles" (2019). Undergraduate Honors Theses. 70. https://scholarsarchive.byu.edu/studentpub_uht/70 |
Publications, Articles |
Applied Mathematics, Biochemistry, Machine Learning, Mathematical Biology |
| Maass, K., & Kim, M. (2019). A Markov decision process approach to optimizing cancer therapy using multiple modalities. Mathematical Medicine and Biology: A Journal of the IMA. doi:10.1093/imammb/dqz004. |
Publications, Articles |
Applied Mathematics, Cancer Modeling, Optimization and Variational Analysis |
| Chen, X. and K. K. Tung: "Global surface warming enhanced by weak Atlantic overturning circulation", Nature, 559, 387-391, July 2018. |
Publications, Articles |
Atmospheric Sciences, Climate Modeling, Geophysics |
| Liu, Hexuan, Jimin Kim, and Eli Shlizerman. "Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network of Caenorhabditis elegans." Philosophical Transactions of the Royal Society B: Biological Sciences 373.1758 (2018): 20170377. |
Publications, Articles |
Mathematical Neuroscience |
| D. Rim, S. Moe, and R. J. LeVeque, Transport Reversal for Model Reduction of Hyperbolic Partial Differential Equations, SIAM/ASA Journal on Uncertainty Quantification 6(2018), pp. 118-150. doi:10.1137/17M1113679 |
Publications, Articles |
Applied Mathematics, Computational Methods, Numerical Analysis, Reduced-Order Models, Scientific Computing |
| Barker, Blake, Rose Nguyen, Bjorn Sandstede, Nathaniel Ventura, and Colin Wahl. "Computing Evans functions numerically via boundary-value problems." Physica D: Nonlinear Phenomena. Accepted Dec 2017. |
Publications, Articles |
Computational Methods, Dynamical Systems, Mathematical Methods, Nonlinear Waves and Coherent Structures, Partial Differential Equations |
| Tim Leung and Xin Li (2015). Optimal mean reversion trading with transaction costs and stop-loss exit, International Journal of Theoretical and Applied Finance 18 (03), 1550020 |
Publications, Articles |
Financial Mathematics, Probability, Risk Management, Stochastic Modeling |
| Liu, Benjamin R., and Elizabeth M. Cherry. "Image-based structural modeling of the cardiac Purkinje network." BioMed research international 2015 (2015). |
Publications, Articles, Graduate, Graduate Publications |
Mathematical Biology, Mathematical Methods |
| Phillips, Austin and Kot, Mark. (2015). Persistence in a two-dimensional moving-habitat model. Bulletin of Mathematical Biology, 77, 2125-2159. |
Publications, Articles |
Climate Modeling, Mathematical Biology |
| Chen, X. and K. K. Tung: "Varying planetary heat sink led to global-warming slowdown and acceleration", Science, 345, 897 (2014) |
Publications, Articles |
Atmospheric Sciences, Climate Modeling, Geophysics |
| Tung, K. K. and J. Zhou:"Using data to attribute episodes of warming and cooling in instrumental records", Proceedings of National Academy of Sciences, 110, 2058-2063, (2013). |
Publications, Articles |
Atmospheric Sciences, Climate Modeling, Geophysics |
| Young, Ethan, and Mason A. Porter. "Dynamical importance and network perturbations." arXiv preprint arXiv:2403.14584 (2024). |
Publications, Articles |
Dynamical Systems, Nonlinear Dynamics and Chaos, Perturbation Methods |
| Liu, Y.H., Baratin A., Cornford J., Mihalas S., Shea-Brown E., Lajoie G., “How connectivity structure shapes rich and lazy learning in neural circuits”, International Conference on Learning Representations (ICLR), 2024 (accepted). |
Publications, Articles |
Applied Mathematics, Computer Science, Machine Learning, Mathematical Neuroscience |
